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tools/benchmark-harness/vendored/docling/md/2023-06-20-PV.md

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+<!-- image -->
+
+## COMITÉ DE DÉMOLITION
+
+## PROCÈS-VERBAL Séance publique tenue le 20 juin, à 16h00 à la salle du conseil
+
+## Présences
+
+Membres : M. Gaëtan Gagné, conseiller municipal M. David Huggins-Daines, conseiller municipal
+
+Secrétaire : Mme Ariane Bélanger, greffière adjointe, Service du greffe
+
+## 1. Ouverture de la séance
+
+La séance est ouverte à 16h00.
+
+## 2. Adoption de l'ordre du jour
+
+L'ordre du jour de la séance est adopté.
+
+## 3. Période de question du public
+
+Aucune question.
+
+4. Demande de démolition pour le 1069, boulevard de de Sainte-Adèle
+
+## Résolution DM-2023-001
+
+ATTENDU la demande 2023-0379, visant la démolition partielle d'un bâtiment, soit la partie arrière du 1069, boulevard de Sainte-Adèle;
+
+ATTENDU QUE le bâtiment est protégé en vertu du règlement 1274 concernant la citation du Théâtre Sainte-Adèle à titre d'immeuble patrimonial;
+
+ATTENDU QUE la portion arrière, visée par la demande, est en mauvais état et que son niveau d'authenticité est peu élevé;
+
+ATTENDU QUE l'estimation du coût des travaux de rénovation et de mise aux normes du bâtiment dans son ensemble est de l'ordre de plus de 1 200 000$;
+
+ATTENDU QUE le projet vise la préservation, la restauration et la pérennisation de la partie avant du bâtiment patrimonial;
+
+ATTENDU QUE le projet de construction proposé prévoit, pour l'utilisation projetée du sol dégagé, un agrandissement de l'arrière du bâtiment préservé, permettant l'ajout de 43 logements;
+
+ATTENDU la pertinence du projet de remplacement proposé;
+
+ATTENDU QU'aucune opposition n'a été reçue à la suite de la publication de l'avis public de démolition le 7 juin 2023;
+
+ATTENDU l'avis du comité consultatif d'urbanisme, qui agit à titre de comité local du patrimoine, à l'effet d'accepter la demande de démolition 20230379;
+
+IL EST RÉSOLU À L'UNANIMITÉ
+
+D'APPROUVER la demande de démolition partielle, soit de la partie arrière du bâtiment situé au 1069, boulevard de Sainte-Adèle, en vertu du règlement 1314-2023-DEM régissant la démolition des constructions.
+
+## 5. LEVÉE DE LA SÉANCE
+
+La séance est levée à 16h05.

tools/benchmark-harness/vendored/docling/md/2206.01062.md

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+## DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
+
+Birgit Pfitzmann IBM Research Rueschlikon, Switzerland <bpf@zurich.ibm.com>
+
+Christoph Auer IBM Research Rueschlikon, Switzerland <cau@zurich.ibm.com>
+
+Ahmed S. Nassar IBM Research
+
+Rueschlikon, Switzerland <ahn@zurich.ibm.com>
+
+Michele Dolfi IBM Research Rueschlikon, Switzerland <dol@zurich.ibm.com>
+
+Peter Staar IBM Research Rueschlikon, Switzerland <taa@zurich.ibm.com>
+
+Figure 1: Four examples of complex page layouts across different document categories
+
+<!-- image -->
+
+## KEYWORDS
+
+PDF document conversion, layout segmentation, object-detection, data set, Machine Learning
+
+## ACMReference Format
+
+Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, and Peter Staar. 2022. DocLayNet: A Large Human-Annotated Dataset for DocumentLayout Analysis. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA. ACM, New York, NY, USA, 9 pages. <https://doi.org/10.1145/> 3534678.3539043
+
+## ABSTRACT
+
+Accurate document layout analysis is a key requirement for highquality PDF document conversion. With the recent availability of public, large ground-truth datasets such as PubLayNet and DocBank, deep-learning models have proven to be very effective at layout detection and segmentation. While these datasets are of adequate size to train such models, they severely lack in layout variability since they are sourced from scientific article repositories such as PubMed and arXiv only. Consequently, the accuracy of the layout segmentation drops significantly when these models are applied on more challenging and diverse layouts. In this paper, we present DocLayNet , a new, publicly available, document-layout annotation dataset in COCO format. It contains 80863 manually annotated pages from diverse data sources to represent a wide variability in layouts. For each PDF page, the layout annotations provide labelled bounding-boxes with a choice of 11 distinct classes. DocLayNet also provides a subset of double- and triple-annotated pages to determine the inter-annotator agreement. In multiple experiments, we provide baseline accuracy scores (in mAP) for a set of popular object detection models. We also demonstrate that these models fall approximately 10% behind the inter-annotator agreement. Furthermore, we provide evidence that DocLayNet is of sufficient size. Lastly, we compare models trained on PubLayNet, DocBank and DocLayNet, showing that layout predictions of the DocLayNettrained models are more robust and thus the preferred choice for general-purpose document-layout analysis.
+
+## CCS CONCEPTS
+
+· Informationsystems → Documentstructure ; · Appliedcomputing → Document analysis ; · Computing methodologies → Machine learning ; Computer vision ; Object detection ;
+
+Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
+
+KDD '22, August 14-18, 2022, Washington, DC, USA
+
+© 2022 Copyright held by the owner/author(s).
+
+ACM ISBN 978-1-4503-9385-0/22/08.
+
+<https://doi.org/10.1145/3534678.3539043>
+
+KDD '22, August 14-18, 2022, Washington, DC, USA Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, and Peter Staar
+
+## 1 INTRODUCTION
+
+Despite the substantial improvements achieved with machine-learning (ML) approaches and deep neural networks in recent years, document conversion remains a challenging problem, as demonstrated by the numerous public competitions held on this topic [1-4]. The challenge originates from the huge variability in PDF documents regarding layout, language and formats (scanned, programmatic or a combination of both). Engineering a single ML model that can be applied on all types of documents and provides high-quality layout segmentation remains to this day extremely challenging [5]. To highlight the variability in document layouts, we show a few example documents from the DocLayNet dataset in Figure 1.
+
+Akeyproblem in the process of document conversion is to understand the structure of a single document page, i.e. which segments of text should be grouped together in a unit. To train models for this task, there are currently two large datasets available to the community, PubLayNet [6] and DocBank [7]. They were introduced in 2019 and 2020 respectively and significantly accelerated the implementation of layout detection and segmentation models due to their sizes of 300K and 500K ground-truth pages. These sizes were achieved by leveraging an automation approach. The benefit of automated ground-truth generation is obvious: one can generate large ground-truth datasets at virtually no cost. However, the automation introduces a constraint on the variability in the dataset, because corresponding structured source data must be available. PubLayNet and DocBank were both generated from scientific document repositories (PubMed and arXiv), which provide XML or L A T E X sources. Those scientific documents present a limited variability in their layouts, because they are typeset in uniform templates provided by the publishers. Obviously, documents such as technical manuals, annual company reports, legal text, government tenders, etc. have very different and partially unique layouts. As a consequence, the layout predictions obtained from models trained on PubLayNet or DocBank is very reasonable when applied on scientific documents. However, for more artistic or free-style layouts, we see sub-par prediction quality from these models, which we demonstrate in Section 5.
+
+In this paper, we present the DocLayNet dataset. It provides pageby-page layout annotation ground-truth using bounding-boxes for 11 distinct class labels on 80863 unique document pages, of which a fraction carry double- or triple-annotations. DocLayNet is similar in spirit to PubLayNet and DocBank and will likewise be made available to the public 1 in order to stimulate the document-layout analysis community. It distinguishes itself in the following aspects:
+
+- (1) Human Annotation : In contrast to PubLayNet and DocBank, we relied on human annotation instead of automation approaches to generate the data set.
+- (2) Large Layout Variability : We include diverse and complex layouts from a large variety of public sources.
+- (3) Detailed Label Set : We define 11 class labels to distinguish layout features in high detail. PubLayNet provides 5 labels; DocBank provides 13, although not a superset of ours.
+- (4) Redundant Annotations : A fraction of the pages in the DocLayNet data set carry more than one human annotation.
+
+1 <https://developer.ibm.com/exchanges/data/all/doclaynet>
+
+This enables experimentation with annotation uncertainty and quality control analysis.
+
+- (5) Pre-defined Train-, Test- &amp; Validation-set : Like DocBank, we provide fixed train-, test- &amp; validation-sets to ensure proportional representation of the class-labels. Further, we prevent leakage of unique layouts across sets, which has a large effect on model accuracy scores.
+
+All aspects outlined above are detailed in Section 3. In Section 4, we will elaborate on how we designed and executed this large-scale human annotation campaign. We will also share key insights and lessons learned that might prove helpful for other parties planning to set up annotation campaigns.
+
+In Section 5, we will present baseline accuracy numbers for a variety of object detection methods (Faster R-CNN, Mask R-CNN and YOLOv5) trained on DocLayNet. We further show how the model performance is impacted by varying the DocLayNet dataset size, reducing the label set and modifying the train/test-split. Last but not least, we compare the performance of models trained on PubLayNet, DocBank and DocLayNet and demonstrate that a model trained on DocLayNet provides overall more robust layout recovery.
+
+## 2 RELATED WORK
+
+While early approaches in document-layout analysis used rulebased algorithms and heuristics [8], the problem is lately addressed with deep learning methods. The most common approach is to leverage object detection models [9-15]. In the last decade, the accuracy and speed of these models has increased dramatically. Furthermore, most state-of-the-art object detection methods can be trained and applied with very little work, thanks to a standardisation effort of the ground-truth data format [16] and common deep-learning frameworks [17]. Reference data sets such as PubLayNet [6] and DocBank provide their data in the commonly accepted COCO format [16].
+
+Lately, new types of ML models for document-layout analysis have emerged in the community [18-21]. These models do not approach the problem of layout analysis purely based on an image representation of the page, as computer vision methods do. Instead, they combine the text tokens and image representation of a page in order to obtain a segmentation. While the reported accuracies appear to be promising, a broadly accepted data format which links geometric and textual features has yet to establish.
+
+## 3 THE DOCLAYNET DATASET
+
+DocLayNet contains 80863 PDF pages. Among these, 7059 carry two instances of human annotations, and 1591 carry three. This amounts to 91104 total annotation instances. The annotations provide layout information in the shape of labeled, rectangular boundingboxes. We define 11 distinct labels for layout features, namely Caption , Footnote , Formula , List-item , Page-footer , Page-header , Picture , Section-header , Table , Text , and Title . Our reasoning for picking this particular label set is detailed in Section 4.
+
+In addition to open intellectual property constraints for the source documents, we required that the documents in DocLayNet adhere to a few conditions. Firstly, we kept scanned documents
+
+Figure 2: Distribution of DocLayNet pages across document categories.
+
+<!-- image -->
+
+to a minimum, since they introduce difficulties in annotation (see Section 4). As a second condition, we focussed on medium to large documents ( &gt; 10 pages) with technical content, dense in complex tables, figures, plots and captions. Such documents carry a lot of information value, but are often hard to analyse with high accuracy due to their challenging layouts. Counterexamples of documents not included in the dataset are receipts, invoices, hand-written documents or photographs showing 'text in the wild".
+
+The pages in DocLayNet can be grouped into six distinct categories, namely Financial Reports , Manuals , Scientific Articles , Laws &amp; Regulations , Patents and Government Tenders . Each document category was sourced from various repositories. For example, Financial Reports contain both free-style format annual reports 2 which expose company-specific, artistic layouts as well as the more formal SEC filings. The two largest categories ( Financial Reports and Manuals ) contain a large amount of free-style layouts in order to obtain maximum variability. In the other four categories, we boosted the variability by mixing documents from independent providers, such as different government websites or publishers. In Figure 2, we show the document categories contained in DocLayNet with their respective sizes.
+
+We did not control the document selection with regard to language. The vast majority of documents contained in DocLayNet (close to 95%) are published in English language. However, DocLayNet also contains a number of documents in other languages such as German (2.5%), French (1.0%) and Japanese (1.0%). While the document language has negligible impact on the performance of computer vision methods such as object detection and segmentation models, it might prove challenging for layout analysis methods which exploit textual features.
+
+To ensure that future benchmarks in the document-layout analysis community can be easily compared, we have split up DocLayNet into pre-defined train-, test- and validation-sets. In this way, we can avoid spurious variations in the evaluation scores due to random splitting in train-, test- and validation-sets. We also ensured that less frequent labels are represented in train and test sets in equal proportions.
+
+2 e.g. AAPL from <https://www.annualreports.com/>
+
+Table 1 shows the overall frequency and distribution of the labels among the different sets. Importantly, we ensure that subsets are only split on full-document boundaries. This avoids that pages of the same document are spread over train, test and validation set, which can give an undesired evaluation advantage to models and lead to overestimation of their prediction accuracy. We will show the impact of this decision in Section 5.
+
+In order to accommodate the different types of models currently in use by the community, we provide DocLayNet in an augmented COCO format [16]. This entails the standard COCO ground-truth file (in JSON format) with the associated page images (in PNG format, 1025 × 1025 pixels). Furthermore, custom fields have been added to each COCO record to specify document category, original document filename and page number. In addition, we also provide the original PDF pages, as well as sidecar files containing parsed PDF text and text-cell coordinates (in JSON). All additional files are linked to the primary page images by their matching filenames.
+
+Despite being cost-intense and far less scalable than automation, human annotation has several benefits over automated groundtruth generation. The first and most obvious reason to leverage human annotations is the freedom to annotate any type of document without requiring a programmatic source. For most PDF documents, the original source document is not available. The latter is not a hard constraint with human annotation, but it is for automated methods. A second reason to use human annotations is that the latter usually provide a more natural interpretation of the page layout. The human-interpreted layout can significantly deviate from the programmatic layout used in typesetting. For example, 'invisible' tables might be used solely for aligning text paragraphs on columns. Such typesetting tricks might be interpreted by automated methods incorrectly as an actual table, while the human annotation will interpret it correctly as Text or other styles. The same applies to multi-line text elements, when authors decided to space them as 'invisible' list elements without bullet symbols. A third reason to gather ground-truth through human annotation is to estimate a 'natural' upper bound on the segmentation accuracy. As we will show in Section 4, certain documents featuring complex layouts can have different but equally acceptable layout interpretations. This natural upper bound for segmentation accuracy can be found by annotating the same pages multiple times by different people and evaluating the inter-annotator agreement. Such a baseline consistency evaluation is very useful to define expectations for a good target accuracy in trained deep neural network models and avoid overfitting (see Table 1). On the flip side, achieving high annotation consistency proved to be a key challenge in human annotation, as we outline in Section 4.
+
+## 4 ANNOTATION CAMPAIGN
+
+The annotation campaign was carried out in four phases. In phase one, we identified and prepared the data sources for annotation. In phase two, we determined the class labels and how annotations should be done on the documents in order to obtain maximum consistency. The latter was guided by a detailed requirement analysis and exhaustive experiments. In phase three, we trained the annotation staff and performed exams for quality assurance. In phase four,
+
+Skip
+
+Field labels
+
+Identify document elements using the labels below.
+
+· None
+
+Clusters
+
+Picture
+
+· Formula
+
+Table 1: DocLayNet dataset overview. Along with the frequency of each class label, we present the relative occurrence (as % of row 'Total') in the train, test and validation sets. The inter-annotator agreement is computed as the mAP@0.5-0.95 metric between pairwise annotations from the triple-annotated pages, from which we obtain accuracy ranges.
+
+· Page-footer
+
+· Page-header
+
+· Footnote
+
+|                |         | % of Total | % of Total | % of Total | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) | triple inter-annotator mAP @0.5-0.95 (%) |
+| -------------- | ------- | ---------- | ---------- | ---------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- |
+| class label    | Count   | Train      | Test       | Val        | All                                      | Fin                                      | Man                                      | Sci                                      | Law                                      | Pat                                      | Ten                                      |
+| Caption        | 22524   | 2.04       | 1.77       | 2.32       | 84-89                                    | 40-61                                    | 86-92                                    | 94-99                                    | 95-99                                    | 69-78                                    | n/a                                      |
+| Footnote       | 6318    | 0.60       | 0.31       | 0.58       | 83-91                                    | n/a                                      | 100                                      | 62-88                                    | 85-94                                    | n/a                                      | 82-97                                    |
+| Formula        | 25027   | 2.25       | 1.90       | 2.96       | 83-85                                    | n/a                                      | n/a                                      | 84-87                                    | 86-96                                    | n/a                                      | n/a                                      |
+| List-item      | 185660  | 17.19      | 13.34      | 15.82      | 87-88                                    | 74-83                                    | 90-92                                    | 97-97                                    | 81-85                                    | 75-88                                    | 93-95                                    |
+| Page-footer    | 70878   | 6.51       | 5.58       | 6.00       | 93-94                                    | 88-90                                    | 95-96                                    | 100                                      | 92-97                                    | 100                                      | 96-98                                    |
+| Page-header    | 58022   | 5.10       | 6.70       | 5.06       | 85-89                                    | 66-76                                    | 90-94                                    | 98-100                                   | 91-92                                    | 97-99                                    | 81-86                                    |
+| Picture        | 45976   | 4.21       | 2.78       | 5.31       | 69-71                                    | 56-59                                    | 82-86                                    | 69-82                                    | 80-95                                    | 66-71                                    | 59-76                                    |
+| Section-header | 142884  | 12.60      | 15.77      | 12.85      | 83-84                                    | 76-81                                    | 90-92                                    | 94-95                                    | 87-94                                    | 69-73                                    | 78-86                                    |
+| Table          | 34733   | 3.20       | 2.27       | 3.60       | 77-81                                    | 75-80                                    | 83-86                                    | 98-99                                    | 58-80                                    | 79-84                                    | 70-85                                    |
+| Text           | 510377  | 45.82      | 49.28      | 45.00      | 84-86                                    | 81-86                                    | 88-93                                    | 89-93                                    | 87-92                                    | 71-79                                    | 87-95                                    |
+| Title          | 5071    | 0.47       | 0.30       | 0.50       | 60-72                                    | 24-63                                    | 50-63                                    | 94-100                                   | 82-96                                    | 68-79                                    | 24-56                                    |
+| Total          | 1107470 | 941123     | 99816      | 66531      | 82-83                                    | 71-74                                    | 79-81                                    | 89-94                                    | 86-91                                    | 71-76                                    | 68-85                                    |
+
+Filter
+
+Figure 3: Corpus Conversion Service annotation user interface. The PDF page is shown in the background, with overlaid text-cells (in darker shades). The annotation boxes can be drawn by dragging a rectangle over each segment with the respective label from the palette on the right.
+
+<!-- image -->
+
+we distributed the annotation workload and performed continuous quality controls. Phase one and two required a small team of experts only. For phases three and four, a group of 40 dedicated annotators were assembled and supervised.
+
+Phase 1: Data selection and preparation. Our inclusion criteria for documents were described in Section 3. A large effort went into ensuring that all documents are free to use. The data sources include publication repositories such as arXiv 3 , government offices, company websites as well as data directory services for financial reports and patents. Scanned documents were excluded wherever possible because they can be rotated or skewed. This would not allow us to perform annotation with rectangular bounding-boxes and therefore complicate the annotation process.
+
+Preparation work included uploading and parsing the sourced PDF documents in the Corpus Conversion Service (CCS) [22], a cloud-native platform which provides a visual annotation interface and allows for dataset inspection and analysis. The annotation interface of CCS is shown in Figure 3. The desired balance of pages between the different document categories was achieved by selective subsampling of pages with certain desired properties. For example, we made sure to include the title page of each document and bias the remaining page selection to those with figures or tables. The latter was achieved by leveraging pre-trained object detection models from PubLayNet, which helped us estimate how many figures and tables a given page contains.
+
+Phase 2: Label selection and guideline. We reviewed the collected documents and identified the most common structural features they exhibit. This was achieved by identifying recurrent layout elements and lead us to the definition of 11 distinct class labels. These 11 class labels are Caption , Footnote , Formula , List-item , Pagefooter , Page-header , Picture , Section-header , Table , Text , and Title . Critical factors that were considered for the choice of these class labels were (1) the overall occurrence of the label, (2) the specificity of the label, (3) recognisability on a single page (i.e. no need for context from previous or next page) and (4) overall coverage of the page. Specificity ensures that the choice of label is not ambiguous, while coverage ensures that all meaningful items on a page can be annotated. We refrained from class labels that are very specific to a document category, such as Abstract in the Scientific Articles category. We also avoided class labels that are tightly linked to the semantics of the text. Labels such as Author and Affiliation , as seen in DocBank, are often only distinguishable by discriminating on
+
+3 <https://arxiv.org/>
+
+Compliant with guidelines
+
+Plausible but invalid alternative the textual content of an element, which goes beyond visual layout recognition, in particular outside the Scientific Articles category.
+
+At first sight, the task of visual document-layout interpretation appears intuitive enough to obtain plausible annotations in most cases. However, during early trial-runs in the core team, we observed many cases in which annotators use different annotation styles, especially for documents with challenging layouts. For example, if a figure is presented with subfigures, one annotator might draw a single figure bounding-box, while another might annotate each subfigure separately. The same applies for lists, where one might annotate all list items in one block or each list item separately. In essence, we observed that challenging layouts would be annotated in different but plausible ways. To illustrate this, we show in Figure 4 multiple examples of plausible but inconsistent annotations on the same pages.
+
+Obviously, this inconsistency in annotations is not desirable for datasets which are intended to be used for model training. To minimise these inconsistencies, we created a detailed annotation guideline. While perfect consistency across 40 annotation staff members is clearly not possible to achieve, we saw a huge improvement in annotation consistency after the introduction of our annotation guideline. A few selected, non-trivial highlights of the guideline are:
+
+- (1) Every list-item is an individual object instance with class label List-item . This definition is different from PubLayNet and DocBank, where all list-items are grouped together into one List object.
+- (2) A List-item is a paragraph with hanging indentation. Singleline elements can qualify as List-item if the neighbour elements expose hanging indentation. Bullet or enumeration symbols are not a requirement.
+- (3) For every Caption , there must be exactly one corresponding Picture or Table .
+- (4) Connected sub-pictures are grouped together in one Picture object.
+- (5) Formula numbers are included in a Formula object.
+- (6) Emphasised text (e.g. in italic or bold) at the beginning of a paragraph is not considered a Section-header , unless it appears exclusively on its own line.
+
+The complete annotation guideline is over 100 pages long and a detailed description is obviously out of scope for this paper. Nevertheless, it will be made publicly available alongside with DocLayNet for future reference.
+
+Phase 3: Training. After a first trial with a small group of people, we realised that providing the annotation guideline and a set of random practice pages did not yield the desired quality level for layout annotation. Therefore we prepared a subset of pages with two different complexity levels, each with a practice and an exam part. 974 pages were reference-annotated by one proficient core team member. Annotation staff were then given the task to annotate the same subsets (blinded from the reference). By comparing the annotations of each staff member with the reference annotations, we could quantify how closely their annotations matched the reference. Only after passing two exam levels with high annotation quality, staff were admitted into the production phase. Practice iterations
+
+<!-- image -->
+
+05237a14f2524e3f53c8454b074409d05078038a6a36b770fcc8ec7e540deae0
+
+Figure 4: Examples of plausible annotation alternatives for the same page. Criteria in our annotation guideline can resolve cases A to C, while the case D remains ambiguous.
+
+were carried out over a timeframe of 12 weeks, after which 8 of the 40 initially allocated annotators did not pass the bar.
+
+Phase 4: Production annotation. The previously selected 80K pages were annotated with the defined 11 class labels by 32 annotators. This production phase took around three months to complete. All annotations were created online through CCS, which visualises the programmatic PDF text-cells as an overlay on the page. The page annotation are obtained by drawing rectangular bounding-boxes, as shown in Figure 3. With regard to the annotation practices, we implemented a few constraints and capabilities on the tooling level. First, we only allow non-overlapping, vertically oriented, rectangular boxes. For the large majority of documents, this constraint was sufficient and it speeds up the annotation considerably in comparison with arbitrary segmentation shapes. Second, annotator staff were not able to see each other's annotations. This was enforced by design to avoid any bias in the annotation, which could skew the numbers of the inter-annotator agreement (see Table 1). We wanted
+
+Table 2: Prediction performance (mAP@0.5-0.95) of object detection networks on DocLayNet test set. The MRCNN (Mask R-CNN) and FRCNN (Faster R-CNN) models with ResNet-50 or ResNet-101 backbone were trained based on the network architectures from the detectron2 model zoo (Mask R-CNN R50, R101-FPN 3x, Faster R-CNN R101-FPN 3x), with default configurations. The YOLO implementation utilized was YOLOv5x6 [13]. All models were initialised using pre-trained weights from the COCO 2017 dataset.
+
+|                | human | MRCNN | MRCNN | FRCNN | YOLO |
+| -------------- | ----- | ----- | ----- | ----- | ---- |
+|                |       | R50   | R101  | R101  | v5x6 |
+| Caption        | 84-89 | 68.4  | 71.5  | 70.1  | 77.7 |
+| Footnote       | 83-91 | 70.9  | 71.8  | 73.7  | 77.2 |
+| Formula        | 83-85 | 60.1  | 63.4  | 63.5  | 66.2 |
+| List-item      | 87-88 | 81.2  | 80.8  | 81.0  | 86.2 |
+| Page-footer    | 93-94 | 61.6  | 59.3  | 58.9  | 61.1 |
+| Page-header    | 85-89 | 71.9  | 70.0  | 72.0  | 67.9 |
+| Picture        | 69-71 | 71.7  | 72.7  | 72.0  | 77.1 |
+| Section-header | 83-84 | 67.6  | 69.3  | 68.4  | 74.6 |
+| Table          | 77-81 | 82.2  | 82.9  | 82.2  | 86.3 |
+| Text           | 84-86 | 84.6  | 85.8  | 85.4  | 88.1 |
+| Title          | 60-72 | 76.7  | 80.4  | 79.9  | 82.7 |
+| All            | 82-83 | 72.4  | 73.5  | 73.4  | 76.8 |
+
+to avoid this at any cost in order to have clear, unbiased baseline numbers for human document-layout annotation. Third, we introduced the feature of snapping boxes around text segments to obtain a pixel-accurate annotation and again reduce time and effort. The CCS annotation tool automatically shrinks every user-drawn box to the minimum bounding-box around the enclosed text-cells for all purely text-based segments, which excludes only Table and Picture . For the latter, we instructed annotation staff to minimise inclusion of surrounding whitespace while including all graphical lines. A downside of snapping boxes to enclosed text cells is that some wrongly parsed PDF pages cannot be annotated correctly and need to be skipped. Fourth, we established a way to flag pages as rejected for cases where no valid annotation according to the label guidelines could be achieved. Example cases for this would be PDF pages that render incorrectly or contain layouts that are impossible to capture with non-overlapping rectangles. Such rejected pages are not contained in the final dataset. With all these measures in place, experienced annotation staff managed to annotate a single page in a typical timeframe of 20s to 60s, depending on its complexity.
+
+## 5 EXPERIMENTS
+
+The primary goal of DocLayNet is to obtain high-quality ML models capable of accurate document-layout analysis on a wide variety of challenging layouts. As discussed in Section 2, object detection models are currently the easiest to use, due to the standardisation of ground-truth data in COCO format [16] and the availability of general frameworks such as detectron2 [17]. Furthermore, baseline numbers in PubLayNet and DocBank were obtained using standard object detection models such as Mask R-CNN and Faster R-CNN. As such, we will relate to these object detection methods in this
+
+Figure 5: Prediction performance (mAP@0.5-0.95) of a Mask R-CNNnetworkwithResNet50backbonetrainedonincreasing fractions of the DocLayNet dataset. The learning curve flattens around the 80% mark, indicating that increasing the size of the DocLayNet dataset with similar data will not yield significantly better predictions.
+
+<!-- image -->
+
+paper and leave the detailed evaluation of more recent methods mentioned in Section 2 for future work.
+
+In this section, we will present several aspects related to the performance of object detection models on DocLayNet. Similarly as in PubLayNet, we will evaluate the quality of their predictions using mean average precision (mAP) with 10 overlaps that range from 0.5 to 0.95 in steps of 0.05 (mAP@0.5-0.95). These scores are computed by leveraging the evaluation code provided by the COCO API [16].
+
+## Baselines for Object Detection
+
+In Table 2, we present baseline experiments (given in mAP) on Mask R-CNN [12], Faster R-CNN [11], and YOLOv5 [13]. Both training and evaluation were performed on RGB images with dimensions of 1025 × 1025 pixels. For training, we only used one annotation in case of redundantly annotated pages. As one can observe, the variation in mAP between the models is rather low, but overall between 6 and 10% lower than the mAP computed from the pairwise human annotations on triple-annotated pages. This gives a good indication that the DocLayNet dataset poses a worthwhile challenge for the research community to close the gap between human recognition and ML approaches. It is interesting to see that Mask R-CNN and Faster R-CNN produce very comparable mAP scores, indicating that pixel-based image segmentation derived from bounding-boxes does not help to obtain better predictions. On the other hand, the more recent Yolov5x model does very well and even out-performs humans on selected labels such as Text , Table and Picture . This is not entirely surprising, as Text , Table and Picture are abundant and the most visually distinctive in a document.
+
+Table 3: Performance of a Mask R-CNN R50 network in mAP@0.5-0.95 scores trained on DocLayNet with different class label sets. The reduced label sets were obtained by either down-mapping or dropping labels.
+
+| Class-count    | 11  | 6       | 5       | 4       |
+| -------------- | --- | ------- | ------- | ------- |
+| Caption        | 68  | Text    | Text    | Text    |
+| Footnote       | 71  | Text    | Text    | Text    |
+| Formula        | 60  | Text    | Text    | Text    |
+| List-item      | 81  | Text    | 82      | Text    |
+| Page-footer    | 62  | 62      | -       | -       |
+| Page-header    | 72  | 68      | -       | -       |
+| Picture        | 72  | 72      | 72      | 72      |
+| Section-header | 68  | 67      | 69      | 68      |
+| Table          | 82  | 83      | 82      | 82      |
+| Text           | 85  | 84      | 84      | 84      |
+| Title          | 77  | Sec.-h. | Sec.-h. | Sec.-h. |
+| Overall        | 72  | 73      | 78      | 77      |
+
+## Learning Curve
+
+One of the fundamental questions related to any dataset is if it is 'large enough'. To answer this question for DocLayNet, we performed a data ablation study in which we evaluated a Mask R-CNN model trained on increasing fractions of the DocLayNet dataset. As can be seen in Figure 5, the mAP score rises sharply in the beginning and eventually levels out. To estimate the error-bar on the metrics, we ran the training five times on the entire data-set. This resulted in a 1% error-bar, depicted by the shaded area in Figure 5. In the inset of Figure 5, we show the exact same data-points, but with a logarithmic scale on the x-axis. As is expected, the mAP score increases linearly as a function of the data-size in the inset. The curve ultimately flattens out between the 80% and 100% mark, with the 80% mark falling within the error-bars of the 100% mark. This provides a good indication that the model would not improve significantly by yet increasing the data size. Rather, it would probably benefit more from improved data consistency (as discussed in Section 3), data augmentation methods [23], or the addition of more document categories and styles.
+
+## Impact of Class Labels
+
+The choice and number of labels can have a significant effect on the overall model performance. Since PubLayNet, DocBank and DocLayNet all have different label sets, it is of particular interest to understand and quantify this influence of the label set on the model performance. We investigate this by either down-mapping labels into more common ones (e.g. Caption → Text ) or excluding them from the annotations entirely. Furthermore, it must be stressed that all mappings and exclusions were performed on the data before model training. In Table 3, we present the mAP scores for a Mask R-CNN R50 network on different label sets. Where a label is down-mapped, we show its corresponding label, otherwise it was excluded. We present three different label sets, with 6, 5 and 4 different labels respectively. The set of 5 labels contains the same labels as PubLayNet. However, due to the different definition of
+
+Table 4: Performance of a Mask R-CNN R50 network with document-wise and page-wise split for different label sets. Naive page-wise split will result in /tildelow 10% point improvement.
+
+| Class-count Split | 11  | 11   | 5   | 5    |
+| ----------------- | --- | ---- | --- | ---- |
+|                   | Doc | Page | Doc | Page |
+| Caption           | 68  | 83   |     |      |
+| Footnote          | 71  | 84   |     |      |
+| Formula           | 60  | 66   |     |      |
+| List-item         | 81  | 88   | 82  | 88   |
+| Page-footer       | 62  | 89   |     |      |
+| Page-header       | 72  | 90   |     |      |
+| Picture           | 72  | 82   | 72  | 82   |
+| Section-header    | 68  | 83   | 69  | 83   |
+| Table             | 82  | 89   | 82  | 90   |
+| Text              | 85  | 91   | 84  | 90   |
+| Title             | 77  | 81   |     |      |
+| All               | 72  | 84   | 78  | 87   |
+
+lists in PubLayNet (grouped list-items) versus DocLayNet (separate list-items), the label set of size 4 is the closest to PubLayNet, in the assumption that the List is down-mapped to Text in PubLayNet. The results in Table 3 show that the prediction accuracy on the remaining class labels does not change significantly when other classes are merged into them. The overall macro-average improves by around 5%, in particular when Page-footer and Page-header are excluded.
+
+## Impact of Document Split in Train and Test Set
+
+Many documents in DocLayNet have a unique styling. In order to avoid overfitting on a particular style, we have split the train-, test- and validation-sets of DocLayNet on document boundaries, i.e. every document contributes pages to only one set. To the best of our knowledge, this was not considered in PubLayNet or DocBank. To quantify how this affects model performance, we trained and evaluated a Mask R-CNN R50 model on a modified dataset version. Here, the train-, test- and validation-sets were obtained by a randomised draw over the individual pages. As can be seen in Table 4, the difference in model performance is surprisingly large: pagewise splitting gains ˜ 10% in mAP over the document-wise splitting. Thus, random page-wise splitting of DocLayNet can easily lead to accidental overestimation of model performance and should be avoided.
+
+## Dataset Comparison
+
+Throughout this paper, we claim that DocLayNet's wider variety of document layouts leads to more robust layout detection models. In Table 5, we provide evidence for that. We trained models on each of the available datasets (PubLayNet, DocBank and DocLayNet) and evaluated them on the test sets of the other datasets. Due to the different label sets and annotation styles, a direct comparison is not possible. Hence, we focussed on the common labels among the datasets. Between PubLayNet and DocLayNet, these are Picture ,
+
+KDD '22, August 14-18, 2022, Washington, DC, USA Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, and Peter Staar
+
+Table 5: Prediction Performance (mAP@0.5-0.95) of a Mask R-CNN R50 network across the PubLayNet, DocBank &amp; DocLayNet data-sets. By evaluating on common label classes of each dataset, we observe that the DocLayNet-trained model has much less pronounced variations in performance across all datasets.
+
+|                 |            | Testing on | Testing on | Testing on |
+| --------------- | ---------- | ---------- | ---------- | ---------- |
+| Training on     | labels     | PLN        | DB         | DLN        |
+| PubLayNet (PLN) | Figure     | 96         | 43         | 23         |
+| PubLayNet (PLN) | Sec-header | 87         | -          | 32         |
+|                 | Table      | 95         | 24         | 49         |
+|                 | Text       | 96         | -          | 42         |
+|                 | total      | 93         | 34         | 30         |
+| DocBank (DB)    | Figure     | 77         | 71         | 31         |
+| DocBank (DB)    | Table      | 19         | 65         | 22         |
+| DocBank (DB)    | total      | 48         | 68         | 27         |
+| DocLayNet (DLN) | Figure     | 67         | 51         | 72         |
+| DocLayNet (DLN) | Sec-header | 53         | -          | 68         |
+|                 | Table      | 87         | 43         | 82         |
+|                 | Text       | 77         | -          | 84         |
+|                 | total      | 59         | 47         | 78         |
+
+Section-header , Table and Text . Before training, we either mapped or excluded DocLayNet's other labels as specified in table 3, and also PubLayNet's List to Text . Note that the different clustering of lists (by list-element vs. whole list objects) naturally decreases the mAP score for Text .
+
+For comparison of DocBank with DocLayNet, we trained only on Picture and Table clusters of each dataset. We had to exclude Text because successive paragraphs are often grouped together into a single object in DocBank. This paragraph grouping is incompatible with the individual paragraphs of DocLayNet. As can be seen in Table 5, DocLayNet trained models yield better performance compared to the previous datasets. It is noteworthy that the models trained on PubLayNet and DocBank perform very well on their own test set, but have a much lower performance on the foreign datasets. While this also applies to DocLayNet, the difference is far less pronounced. Thus we conclude that DocLayNet trained models are overall more robust and will produce better results for challenging, unseen layouts.
+
+## Example Predictions
+
+To conclude this section, we illustrate the quality of layout predictions one can expect from DocLayNet-trained models by providing a selection of examples without any further post-processing applied. Figure 6 shows selected layout predictions on pages from the test-set of DocLayNet. Results look decent in general across document categories, however one can also observe mistakes such as overlapping clusters of different classes, or entirely missing boxes due to low confidence.
+
+## 6 CONCLUSION
+
+In this paper, we presented the DocLayNet dataset. It provides the document conversion and layout analysis research community a new and challenging dataset to improve and fine-tune novel ML methods on. In contrast to many other datasets, DocLayNet was created by human annotation in order to obtain reliable layout ground-truth on a wide variety of publication- and typesettingstyles. Including a large proportion of documents outside the scientific publishing domain adds significant value in this respect.
+
+From the dataset, we have derived on the one hand reference metrics for human performance on document-layout annotation (through double and triple annotations) and on the other hand evaluated the baseline performance of commonly used object detection methods. We also illustrated the impact of various dataset-related aspects on model performance through data-ablation experiments, both from a size and class-label perspective. Last but not least, we compared the accuracy of models trained on other public datasets and showed that DocLayNet trained models are more robust.
+
+To date, there is still a significant gap between human and ML accuracy on the layout interpretation task, and we hope that this work will inspire the research community to close that gap.
+
+## REFERENCES
+
+- [1] Max Göbel, Tamir Hassan, Ermelinda Oro, and Giorgio Orsi. Icdar 2013 table competition. In 2013 12th International Conference on Document Analysis and Recognition , pages 1449-1453, 2013.
+- [2] Christian Clausner, Apostolos Antonacopoulos, and Stefan Pletschacher. Icdar2017 competition on recognition of documents with complex layouts rdcl2017. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) , volume 01, pages 1404-1410, 2017.
+- [3] Hervé Déjean, Jean-Luc Meunier, Liangcai Gao, Yilun Huang, Yu Fang, Florian Kleber, and Eva-Maria Lang. ICDAR 2019 Competition on Table Detection and Recognition (cTDaR), April 2019. <http://sac.founderit.com/>.
+- [4] Antonio Jimeno Yepes, Peter Zhong, and Douglas Burdick. Competition on scientific literature parsing. In Proceedings of the International Conference on Document Analysis and Recognition , ICDAR, pages 605-617. LNCS 12824, SpringerVerlag, sep 2021.
+- [5] Logan Markewich, Hao Zhang, Yubin Xing, Navid Lambert-Shirzad, Jiang Zhexin, Roy Lee, Zhi Li, and Seok-Bum Ko. Segmentation for document layout analysis: not dead yet. International Journal on Document Analysis and Recognition (IJDAR) , pages 1-11, 01 2022.
+- [6] Xu Zhong, Jianbin Tang, and Antonio Jimeno-Yepes. Publaynet: Largest dataset ever for document layout analysis. In Proceedings of the International Conference on Document Analysis and Recognition , ICDAR, pages 1015-1022, sep 2019.
+- [7] Minghao Li, Yiheng Xu, Lei Cui, Shaohan Huang, Furu Wei, Zhoujun Li, and Ming Zhou. Docbank: A benchmark dataset for document layout analysis. In Proceedings of the 28th International Conference on Computational Linguistics , COLING, pages 949-960. International Committee on Computational Linguistics, dec 2020.
+- [8] Riaz Ahmad, Muhammad Tanvir Afzal, and M. Qadir. Information extraction from pdf sources based on rule-based system using integrated formats. In SemWebEval@ESWC , 2016.
+- [9] Ross B. Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In IEEE Conference on Computer Vision and Pattern Recognition , CVPR, pages 580-587. IEEE Computer Society, jun 2014.
+- [10] Ross B. Girshick. Fast R-CNN. In 2015 IEEE International Conference on Computer Vision , ICCV, pages 1440-1448. IEEE Computer Society, dec 2015.
+- [11] Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. Faster r-cnn: Towards real-time object detection with region proposal networks. IEEE Transactions on Pattern Analysis and Machine Intelligence , 39(6):1137-1149, 2017.
+- [12] Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick. Mask R-CNN. In IEEE International Conference on Computer Vision , ICCV, pages 2980-2988. IEEE Computer Society, Oct 2017.
+- [13] Glenn Jocher, Alex Stoken, Ayush Chaurasia, Jirka Borovec, NanoCode012, TaoXie, Yonghye Kwon, Kalen Michael, Liu Changyu, Jiacong Fang, Abhiram V, Laughing, tkianai, yxNONG, Piotr Skalski, Adam Hogan, Jebastin Nadar, imyhxy, Lorenzo Mammana, Alex Wang, Cristi Fati, Diego Montes, Jan Hajek, Laurentiu
+
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+Figure 6: Example layout predictions on selected pages from the DocLayNet test-set. (A, D) exhibit favourable results on coloured backgrounds. (B, C) show accurate list-item and paragraph differentiation despite densely-spaced lines. (E) demonstrates good table and figure distinction. (F) shows predictions on a Chinese patent with multiple overlaps, label confusion and missing boxes.
+
+<!-- image -->
+
+Diaconu, Mai Thanh Minh, Marc, albinxavi, fatih, oleg, and wanghao yang. ultralytics/yolov5: v6.0 - yolov5n nano models, roboflow integration, tensorflow export, opencv dnn support, October 2021.
+
+- [14] Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. End-to-end object detection with transformers. CoRR , abs/2005.12872, 2020.
+- [15] Mingxing Tan, Ruoming Pang, and Quoc V. Le. Efficientdet: Scalable and efficient object detection. CoRR , abs/1911.09070, 2019.
+- [16] Tsung-Yi Lin, Michael Maire, Serge J. Belongie, Lubomir D. Bourdev, Ross B. Girshick, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick. Microsoft COCO: common objects in context, 2014.
+- [17] Yuxin Wu, Alexander Kirillov, Francisco Massa, Wan-Yen Lo, and Ross Girshick. Detectron2, 2019.
+- [18] Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed Nassar, Andre Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, and Peter W. J. Staar. Robust pdf document conversion using recurrent neural networks. In Proceedings of the 35th Conference on Artificial Intelligence , AAAI, pages 1513715145, feb 2021.
+- [19] Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, and Ming Zhou. Layoutlm: Pre-training of text and layout for document image understanding. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , KDD, pages 1192-1200, New York, USA, 2020. Association for Computing Machinery.
+- [20] Shoubin Li, Xuyan Ma, Shuaiqun Pan, Jun Hu, Lin Shi, and Qing Wang. Vtlayout: Fusion of visual and text features for document layout analysis, 2021.
+- [21] Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, and Fei Wu. Vsr: A unified framework for document layout analysis combining vision, semantics and relations, 2021.
+- [22] Peter W J Staar, Michele Dolfi, Christoph Auer, and Costas Bekas. Corpus conversion service: A machine learning platform to ingest documents at scale. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , KDD, pages 774-782. ACM, 2018.
+- [23] Connor Shorten and Taghi M. Khoshgoftaar. A survey on image data augmentation for deep learning. Journal of Big Data , 6(1):60, 2019.

tools/benchmark-harness/vendored/docling/md/2305.03393v1-pg9.md

@@ -0,0 +1,21 @@
+order to compute the TED score. Inference timing results for all experiments were obtained from the same machine on a single core with AMD EPYC 7763 CPU @2.45 GHz.
+
+## 5.1 Hyper Parameter Optimization
+
+We have chosen the PubTabNet data set to perform HPO, since it includes a highly diverse set of tables. Also we report TED scores separately for simple and complex tables (tables with cell spans). Results are presented in Table. 1. It is evident that with OTSL, our model achieves the same TED score and slightly better mAP scores in comparison to HTML. However OTSL yields a 2x speed up in the inference runtime over HTML.
+
+Table 1. HPO performed in OTSL and HTML representation on the same transformer-based TableFormer [9] architecture, trained only on PubTabNet [22]. Effects of reducing the # of layers in encoder and decoder stages of the model show that smaller models trained on OTSL perform better, especially in recognizing complex table structures, and maintain a much higher mAP score than the HTML counterpart.
+
+| # enc-layers | # dec-layers | Language  | TEDs        | TEDs        | TEDs        | mAP (0.75)  | Inference time (secs) |
+| ------------ | ------------ | --------- | ----------- | ----------- | ----------- | ----------- | --------------------- |
+| # enc-layers | # dec-layers | Language  | simple      | complex     | all         | mAP (0.75)  | Inference time (secs) |
+| 6            | 6            | OTSL HTML | 0.965 0.969 | 0.934 0.927 | 0.955 0.955 | 0.88 0.857  | 2.73 5.39             |
+| 4            | 4            | OTSL HTML | 0.938 0.952 | 0.904 0.909 | 0.927 0.938 | 0.853 0.843 | 1.97 3.77             |
+| 2            | 4            | OTSL HTML | 0.923 0.945 | 0.897 0.901 | 0.915 0.931 | 0.859 0.834 | 1.91 3.81             |
+| 4            | 2            | OTSL HTML | 0.952 0.944 | 0.92 0.903  | 0.942 0.931 | 0.857 0.824 | 1.22 2                |
+
+## 5.2 Quantitative Results
+
+We picked the model parameter configuration that produced the best prediction quality (enc=6, dec=6, heads=8) with PubTabNet alone, then independently trained and evaluated it on three publicly available data sets: PubTabNet (395k samples), FinTabNet (113k samples) and PubTables-1M (about 1M samples). Performance results are presented in Table. 2. It is clearly evident that the model trained on OTSL outperforms HTML across the board, keeping high TEDs and mAP scores even on di ffi cult financial tables (FinTabNet) that contain sparse and large tables.
+
+Additionally, the results show that OTSL has an advantage over HTML when applied on a bigger data set like PubTables-1M and achieves significantly improved scores. Finally, OTSL achieves faster inference due to fewer decoding steps which is a result of the reduced sequence representation.

tools/benchmark-harness/vendored/docling/md/2305.03393v1.md

@@ -0,0 +1,334 @@
+## Optimized Table Tokenization for Table Structure Recognition
+
+Maksym Lysak [0000 -0002 -3723 -6960] , Ahmed Nassar [0000 -0002 -9468 -0822] , Nikolaos Livathinos [0000 -0001 -8513 -3491] , Christoph Auer [0000 -0001 -5761 -0422] , [0000 -0002 -8088 -0823]
+
+and Peter Staar
+
+IBM Research
+
+{mly,ahn,nli,cau,taa}@zurich.ibm.com
+
+Abstract. Extracting tables from documents is a crucial task in any document conversion pipeline. Recently, transformer-based models have demonstrated that table-structure can be recognized with impressive accuracy using Image-to-Markup-Sequence (Im2Seq) approaches. Taking only the image of a table, such models predict a sequence of tokens (e.g. in HTML, LaTeX) which represent the structure of the table. Since the token representation of the table structure has a significant impact on the accuracy and run-time performance of any Im2Seq model, we investigate in this paper how table-structure representation can be optimised. We propose a new, optimised table-structure language (OTSL) with a minimized vocabulary and specific rules. The benefits of OTSL are that it reduces the number of tokens to 5 (HTML needs 28+) and shortens the sequence length to half of HTML on average. Consequently, model accuracy improves significantly, inference time is halved compared to HTML-based models, and the predicted table structures are always syntactically correct. This in turn eliminates most post-processing needs. Popular table structure data-sets will be published in OTSL format to the community.
+
+Keywords: Table Structure Recognition · Data Representation · Transformers · Optimization.
+
+## 1 Introduction
+
+Tables are ubiquitous in documents such as scientific papers, patents, reports, manuals, specification sheets or marketing material. They often encode highly valuable information and therefore need to be extracted with high accuracy. Unfortunately, tables appear in documents in various sizes, styling and structure, making it difficult to recover their correct structure with simple analytical methods. Therefore, accurate table extraction is achieved these days with machine-learning based methods.
+
+In modern document understanding systems [1,15], table extraction is typically a two-step process. Firstly, every table on a page is located with a bounding box, and secondly, their logical row and column structure is recognized. As of
+
+Fig. 1. Comparison between HTML and OTSL table structure representation: (A) table-example with complex row and column headers, including a 2D empty span, (B) minimal graphical representation of table structure using rectangular layout, (C) HTML representation, (D) OTSL representation. This example demonstrates many of the key-features of OTSL, namely its reduced vocabulary size (12 versus 5 in this case), its reduced sequence length (55 versus 30) and a enhanced internal structure (variable token sequence length per row in HTML versus a fixed length of rows in OTSL).
+
+<!-- image -->
+
+today, table detection in documents is a well understood problem, and the latest state-of-the-art (SOTA) object detection methods provide an accuracy comparable to human observers [7,8,10,14,23]. On the other hand, the problem of table structure recognition (TSR) is a lot more challenging and remains a very active area of research, in which many novel machine learning algorithms are being explored [3,4,5,9,11,12,13,14,17,18,21,22].
+
+Recently emerging SOTA methods for table structure recognition employ transformer-based models, in which an image of the table is provided to the network in order to predict the structure of the table as a sequence of tokens. These image-to-sequence (Im2Seq) models are extremely powerful, since they allow for a purely data-driven solution. The tokens of the sequence typically belong to a markup language such as HTML, Latex or Markdown, which allow to describe table structure as rows, columns and spanning cells in various configurations. In Figure 1, we illustrate how HTML is used to represent the table-structure of a particular example table. Public table-structure data sets such as PubTabNet [22], and FinTabNet [21], which were created in a semi-automated way from paired PDF and HTML sources (e.g. PubMed Central), popularized primarily the use of HTML as ground-truth representation format for TSR.
+
+While the majority of research in TSR is currently focused on the development and application of novel neural model architectures, the table structure representation language (e.g. HTML in PubTabNet and FinTabNet) is usually adopted as is for the sequence tokenization in Im2Seq models. In this paper, we aim for the opposite and investigate the impact of the table structure representation language with an otherwise unmodified Im2Seq transformer-based architecture. Since the current state-of-the-art Im2Seq model is TableFormer [9], we select this model to perform our experiments.
+
+The main contribution of this paper is the introduction of a new optimised table structure language (OTSL), specifically designed to describe table-structure in an compact and structured way for Im2Seq models. OTSL has a number of key features, which make it very attractive to use in Im2Seq models. Specifically, compared to other languages such as HTML, OTSL has a minimized vocabulary which yields short sequence length, strong inherent structure (e.g. strict rectangular layout) and a strict syntax with rules that only look backwards. The latter allows for syntax validation during inference and ensures a syntactically correct table-structure. These OTSL features are illustrated in Figure 1, in comparison to HTML.
+
+The paper is structured as follows. In section 2, we give an overview of the latest developments in table-structure reconstruction. In section 3 we review the current HTML table encoding (popularised by PubTabNet and FinTabNet) and discuss its flaws. Subsequently, we introduce OTSL in section 4, which includes the language definition, syntax rules and error-correction procedures. In section 5, we apply OTSL on the TableFormer architecture, compare it to TableFormer models trained on HTML and ultimately demonstrate the advantages of using OTSL. Finally, in section 6 we conclude our work and outline next potential steps.
+
+## 2 Related Work
+
+Approaches to formalize the logical structure and layout of tables in electronic documents date back more than two decades [16]. In the recent past, a wide variety of computer vision methods have been explored to tackle the problem of table structure recognition, i.e. the correct identification of columns, rows and spanning cells in a given table. Broadly speaking, the current deeplearning based approaches fall into three categories: object detection (OD) methods, Graph-Neural-Network (GNN) methods and Image-to-Markup-Sequence (Im2Seq) methods. Object-detection based methods [11,12,13,14,21] rely on tablestructure annotation using (overlapping) bounding boxes for training, and produce bounding-box predictions to define table cells, rows, and columns on a table image. Graph Neural Network (GNN) based methods [3,6,17,18], as the name suggests, represent tables as graph structures. The graph nodes represent the content of each table cell, an embedding vector from the table image, or geometric coordinates of the table cell. The edges of the graph define the relationship between the nodes, e.g. if they belong to the same column, row, or table cell.
+
+Other work [20] aims at predicting a grid for each table and deciding which cells must be merged using an attention network. Im2Seq methods cast the problem as a sequence generation task [4,5,9,22], and therefore need an internal tablestructure representation language, which is often implemented with standard markup languages (e.g. HTML, LaTeX, Markdown). In theory, Im2Seq methods have a natural advantage over the OD and GNN methods by virtue of directly predicting the table-structure. As such, no post-processing or rules are needed in order to obtain the table-structure, which is necessary with OD and GNN approaches. In practice, this is not entirely true, because a predicted sequence of table-structure markup does not necessarily have to be syntactically correct. Hence, depending on the quality of the predicted sequence, some post-processing needs to be performed to ensure a syntactically valid (let alone correct) sequence.
+
+Within the Im2Seq method, we find several popular models, namely the encoder-dual-decoder model (EDD) [22], TableFormer [9], Tabsplitter[2] and Ye et. al. [19]. EDD uses two consecutive long short-term memory (LSTM) decoders to predict a table in HTML representation. The tag decoder predicts a sequence of HTML tags. For each decoded table cell ( &lt;td&gt; ), the attention is passed to the cell decoder to predict the content with an embedded OCR approach. The latter makes it susceptible to transcription errors in the cell content of the table. TableFormer address this reliance on OCR and uses two transformer decoders for HTML structure and cell bounding box prediction in an end-to-end architecture. The predicted cell bounding box is then used to extract text tokens from an originating (digital) PDF page, circumventing any need for OCR. TabSplitter [2] proposes a compact double-matrix representation of table rows and columns to do error detection and error correction of HTML structure sequences based on predictions from [19]. This compact double-matrix representation can not be used directly by the Img2seq model training, so the model uses HTML as an intermediate form. Chi et. al. [4] introduce a data set and a baseline method using bidirectional LSTMs to predict LaTeX code. Kayal [5] introduces Gated ResNet transformers to predict LaTeX code, and a separate OCR module to extract content.
+
+Im2Seq approaches have shown to be well-suited for the TSR task and allow a full end-to-end network design that can output the final table structure without pre- or post-processing logic. Furthermore, Im2Seq models have demonstrated to deliver state-of-the-art prediction accuracy [9]. This motivated the authors to investigate if the performance (both in accuracy and inference time) can be further improved by optimising the table structure representation language. We believe this is a necessary step before further improving neural network architectures for this task.
+
+## 3 Problem Statement
+
+All known Im2Seq based models for TSR fundamentally work in similar ways. Given an image of a table, the Im2Seq model predicts the structure of the table by generating a sequence of tokens. These tokens originate from a finite vocab-
+
+r1g. z. rrequencv o tokens in MIMu ana v lou as tnev appear in rublabvet.
+
+rig. 4. Frequency oi tokens in himb and Visu as they appear in rubradvet.
+
+1E+08
+
+1E+06
+
+1E+04
+
+1E+02
+
+1E+00
+
+&lt;/td&gt;
+
+HTML
+
+colspan="3"
+
+colspan="2"
+
+colspan="4"
+
+ulary and can be interpreted as a table structure. For example, with the HTML tokens &lt;table&gt; , &lt;/table&gt; , &lt;tr&gt; , &lt;/tr&gt; , &lt;td&gt; and &lt;/td&gt; , one can construct simple table structures without any spanning cells. In reality though, one needs at least 28 HTML tokens to describe the most common complex tables observed in real-world documents [21,22], due to a variety of spanning cells definitions in the HTML token vocabulary.
+
+Fig. 2. Frequency of tokens in HTML and OTSL as they appear in PubTabNet.
+
+<!-- image -->
+
+Obviously, HTML and other general-purpose markup languages were not designed for Im2Seq models. As such, they have some serious drawbacks. First, the token vocabulary needs to be artificially large in order to describe all plausible tabular structures. Since most Im2Seq models use an autoregressive approach, they generate the sequence token by token. Therefore, to reduce inference time, a shorter sequence length is critical. Every table-cell is represented by at least two tokens ( &lt;td&gt; and &lt;/td&gt; ). Furthermore, when tokenizing the HTML structure, one needs to explicitly enumerate possible column-spans and row-spans as words. In practice, this ends up requiring 28 different HTML tokens (when including column- and row-spans up to 10 cells) just to describe every table in the PubTabNet dataset. Clearly, not every token is equally represented, as is depicted in Figure 2. This skewed distribution of tokens in combination with variable token row-length makes it challenging for models to learn the HTML structure.
+
+Additionally, it would be desirable if the representation would easily allow an early detection of invalid sequences on-the-go, before the prediction of the entire table structure is completed. HTML is not well-suited for this purpose as the verification of incomplete sequences is non-trivial or even impossible.
+
+In a valid HTML table, the token sequence must describe a 2D grid of table cells, serialised in row-major ordering, where each row and each column have the same length (while considering row- and column-spans). Furthermore, every opening tag in HTML needs to be matched by a closing tag in a correct hierarchical manner. Since the number of tokens for each table row and column can vary significantly, especially for large tables with many row- and column-spans, it is complex to verify the consistency of predicted structures during sequence
+
+OTSL
+
+thead&gt;
+
+&lt;/thead&gt;
+
+generation. Implicitly, this also means that Im2Seq models need to learn these complex syntax rules, simply to deliver valid output.
+
+In practice, we observe two major issues with prediction quality when training Im2Seq models on HTML table structure generation from images. On the one hand, we find that on large tables, the visual attention of the model often starts to drift and is not accurately moving forward cell by cell anymore. This manifests itself in either in an increasing location drift for proposed table-cells in later rows on the same column or even complete loss of vertical alignment, as illustrated in Figure 5. Addressing this with post-processing is partially possible, but clearly undesired. On the other hand, we find many instances of predictions with structural inconsistencies or plain invalid HTML output, as shown in Figure 6, which are nearly impossible to properly correct. Both problems seriously impact the TSR model performance, since they reflect not only in the task of pure structure recognition but also in the equally crucial recognition or matching of table cell content.
+
+## 4 Optimised Table Structure Language
+
+To mitigate the issues with HTML in Im2Seq-based TSR models laid out before, we propose here our Optimised Table Structure Language (OTSL). OTSL is designed to express table structure with a minimized vocabulary and a simple set of rules, which are both significantly reduced compared to HTML. At the same time, OTSL enables easy error detection and correction during sequence generation. We further demonstrate how the compact structure representation and minimized sequence length improves prediction accuracy and inference time in the TableFormer architecture.
+
+## 4.1 Language Definition
+
+In Figure 3, we illustrate how the OTSL is defined. In essence, the OTSL defines only 5 tokens that directly describe a tabular structure based on an atomic 2D grid.
+
+The OTSL vocabulary is comprised of the following tokens:
+
+- -"C" cell a new table cell that either has or does not have cell content
+- -"L" cell left-looking cell , merging with the left neighbor cell to create a span
+- -"U" cell up-looking cell , merging with the upper neighbor cell to create a span
+- -"X" cell cross cell , to merge with both left and upper neighbor cells
+- -"NL" new-line , switch to the next row.
+
+A notable attribute of OTSL is that it has the capability of achieving lossless conversion to HTML.
+
+Fig. 3. OTSL description of table structure: A - table example; B - graphical representation of table structure; C - mapping structure on a grid; D - OTSL structure encoding; E - explanation on cell encoding
+
+<!-- image -->
+
+## 4.2 Language Syntax
+
+The OTSL representation follows these syntax rules:
+
+1. Left-looking cell rule : The left neighbour of an "L" cell must be either another "L" cell or a "C" cell.
+2. Up-looking cell rule : The upper neighbour of a "U" cell must be either another "U" cell or a "C" cell.
+3. Cross cell rule :
+
+The left neighbour of an "X" cell must be either another "X" cell or a "U" cell, and the upper neighbour of an "X" cell must be either another "X" cell or an "L" cell.
+
+4. First row rule : Only "L" cells and "C" cells are allowed in the first row.
+5. First column rule : Only "U" cells and "C" cells are allowed in the first column.
+6. Rectangular rule : The table representation is always rectangular - all rows must have an equal number of tokens, terminated with "NL" token.
+
+The application of these rules gives OTSL a set of unique properties. First of all, the OTSL enforces a strictly rectangular structure representation, where every new-line token starts a new row. As a consequence, all rows and all columns have exactly the same number of tokens, irrespective of cell spans. Secondly, the OTSL representation is unambiguous: Every table structure is represented in one way. In this representation every table cell corresponds to a "C"-cell token, which in case of spans is always located in the top-left corner of the table cell definition. Third, OTSL syntax rules are only backward-looking. As a consequence, every predicted token can be validated straight during sequence generation by looking at the previously predicted sequence. As such, OTSL can guarantee that every predicted sequence is syntactically valid.
+
+These characteristics can be easily learned by sequence generator networks, as we demonstrate further below. We find strong indications that this pattern
+
+reduces significantly the column drift seen in the HTML based models (see Figure 5).
+
+## 4.3 Error-detection and -mitigation
+
+The design of OTSL allows to validate a table structure easily on an unfinished sequence. The detection of an invalid sequence token is a clear indication of a prediction mistake, however a valid sequence by itself does not guarantee prediction correctness. Different heuristics can be used to correct token errors in an invalid sequence and thus increase the chances for accurate predictions. Such heuristics can be applied either after the prediction of each token, or at the end on the entire predicted sequence. For example a simple heuristic which can correct the predicted OTSL sequence on-the-fly is to verify if the token with the highest prediction confidence invalidates the predicted sequence, and replace it by the token with the next highest confidence until OTSL rules are satisfied.
+
+## 5 Experiments
+
+To evaluate the impact of OTSL on prediction accuracy and inference times, we conducted a series of experiments based on the TableFormer model (Figure 4) with two objectives: Firstly we evaluate the prediction quality and performance of OTSL vs. HTML after performing Hyper Parameter Optimization (HPO) on the canonical PubTabNet data set. Secondly we pick the best hyper-parameters found in the first step and evaluate how OTSL impacts the performance of TableFormer after training on other publicly available data sets (FinTabNet, PubTables-1M [14]). The ground truth (GT) from all data sets has been converted into OTSL format for this purpose, and will be made publicly available.
+
+Fig. 4. Architecture sketch of the TableFormer model, which is a representative for the Im2Seq approach.
+
+<!-- image -->
+
+We rely on standard metrics such as Tree Edit Distance score (TEDs) for table structure prediction, and Mean Average Precision (mAP) with 0.75 Intersection Over Union (IOU) threshold for the bounding-box predictions of table cells. The predicted OTSL structures were converted back to HTML format in
+
+order to compute the TED score. Inference timing results for all experiments were obtained from the same machine on a single core with AMD EPYC 7763 CPU @2.45 GHz.
+
+## 5.1 Hyper Parameter Optimization
+
+We have chosen the PubTabNet data set to perform HPO, since it includes a highly diverse set of tables. Also we report TED scores separately for simple and complex tables (tables with cell spans). Results are presented in Table. 1. It is evident that with OTSL, our model achieves the same TED score and slightly better mAP scores in comparison to HTML. However OTSL yields a 2x speed up in the inference runtime over HTML.
+
+Table 1. HPO performed in OTSL and HTML representation on the same transformer-based TableFormer [9] architecture, trained only on PubTabNet [22]. Effects of reducing the # of layers in encoder and decoder stages of the model show that smaller models trained on OTSL perform better, especially in recognizing complex table structures, and maintain a much higher mAP score than the HTML counterpart.
+
+| # enc-layers | # dec-layers | Language  | TEDs        | TEDs        | TEDs        | mAP (0.75)  | Inference time (secs) |
+| ------------ | ------------ | --------- | ----------- | ----------- | ----------- | ----------- | --------------------- |
+| # enc-layers | # dec-layers | Language  | simple      | complex     | all         | mAP (0.75)  | Inference time (secs) |
+| 6            | 6            | OTSL HTML | 0.965 0.969 | 0.934 0.927 | 0.955 0.955 | 0.88 0.857  | 2.73 5.39             |
+| 4            | 4            | OTSL HTML | 0.938 0.952 | 0.904 0.909 | 0.927 0.938 | 0.853 0.843 | 1.97 3.77             |
+| 2            | 4            | OTSL HTML | 0.923 0.945 | 0.897 0.901 | 0.915 0.931 | 0.859 0.834 | 1.91 3.81             |
+| 4            | 2            | OTSL HTML | 0.952 0.944 | 0.92 0.903  | 0.942 0.931 | 0.857 0.824 | 1.22 2                |
+
+## 5.2 Quantitative Results
+
+We picked the model parameter configuration that produced the best prediction quality (enc=6, dec=6, heads=8) with PubTabNet alone, then independently trained and evaluated it on three publicly available data sets: PubTabNet (395k samples), FinTabNet (113k samples) and PubTables-1M (about 1M samples). Performance results are presented in Table. 2. It is clearly evident that the model trained on OTSL outperforms HTML across the board, keeping high TEDs and mAP scores even on difficult financial tables (FinTabNet) that contain sparse and large tables.
+
+Additionally, the results show that OTSL has an advantage over HTML when applied on a bigger data set like PubTables-1M and achieves significantly improved scores. Finally, OTSL achieves faster inference due to fewer decoding steps which is a result of the reduced sequence representation.
+
+HTML
+
+BST
+
+84
+
+(L97
+
+Be fronton
+
+E
+
+OTSL model shows clean bounding box
+
+alignment
+
+OTSL
+
+70.00
+
+Kol
+
+# 01
+
+LAZ
+
+22 03
+
+2622
+
+52 CEl
+
+41l
+
+54
+
+55 06
+
+312 m
+
+129 300
+
+121405506
+
+F102
+
+193
+
+T100
+
+HTML model shows bounding box drifting
+
+БE RE
+
+10 0202
+
+39
+
+44.
+
+Table 2. TSR and cell detection results compared between OTSL and HTML on the PubTabNet [22], FinTabNet [21] and PubTables-1M [14] data sets using TableFormer [9] (with enc=6, dec=6, heads=8).
+
+| Data set     | Language  | TEDs        | TEDs        | TEDs        | mAP(0.75)   | Inference time (secs) |
+| ------------ | --------- | ----------- | ----------- | ----------- | ----------- | --------------------- |
+| Data set     | Language  | simple      | complex     | all         | mAP(0.75)   | Inference time (secs) |
+| PubTabNet    | OTSL HTML | 0.965 0.969 | 0.934 0.927 | 0.955 0.955 | 0.88 0.857  | 2.73 5.39             |
+| FinTabNet    | OTSL HTML | 0.955 0.917 | 0.961 0.922 | 0.959 0.92  | 0.862 0.722 | 1.85 3.26             |
+| PubTables-1M | OTSL HTML | 0.987 0.983 | 0.964 0.944 | 0.977 0.966 | 0.896 0.889 | 1.79 3.26             |
+
+## 5.3 Qualitative Results
+
+To illustrate the qualitative differences between OTSL and HTML, Figure 5 demonstrates less overlap and more accurate bounding boxes with OTSL. In Figure 6, OTSL proves to be more effective in handling tables with longer token sequences, resulting in even more precise structure prediction and bounding boxes.
+
+Fig. 5. The OTSL model produces more accurate bounding boxes with less overlap (E) than the HTML model (D), when predicting the structure of a sparse table (A), at twice the inference speed because of shorter sequence length (B),(C). "PMC2807444_006_00.png" PubTabNet. μ
+
+<!-- image -->
+
+μ
+
+≥
+
+B
+
+1S10
+
+Repeating pattern of horizontally merged cells
+
+12
+
+14
+
+15
+
+16
+
+19
+
+17
+
+135
+
+143
+
+151
+
+- \*O
+
+Dental carles
+
+D-Value
+
+0.38
+
+0.01
+
+021
+
+Fig. 6. Visualization of predicted structure and detected bounding boxes on a complex table with many rows. The OTSL model (B) captured repeating pattern of horizontally merged cells from the GT (A), unlike the HTML model (C). The HTML model also didn't complete the HTML sequence correctly and displayed a lot more of drift and overlap of bounding boxes. "PMC5406406_003_01.png" PubTabNet.
+
+Bounding box drifting at the end
+
+· Horizontally merged cells are not present
+
+- Incorrect end of HTML sequence
+
+<!-- image -->
+
+## 6 Conclusion
+
+We demonstrated that representing tables in HTML for the task of table structure recognition with Im2Seq models is ill-suited and has serious limitations. Furthermore, we presented in this paper an Optimized Table Structure Language (OTSL) which, when compared to commonly used general purpose languages, has several key benefits.
+
+First and foremost, given the same network configuration, inference time for a table-structure prediction is about 2 times faster compared to the conventional HTML approach. This is primarily owed to the shorter sequence length of the OTSL representation. Additional performance benefits can be obtained with HPO (hyper parameter optimization). As we demonstrate in our experiments, models trained on OTSL can be significantly smaller, e.g. by reducing the number of encoder and decoder layers, while preserving comparatively good prediction quality. This can further improve inference performance, yielding 5-6 times faster inference speed in OTSL with prediction quality comparable to models trained on HTML (see Table 1).
+
+Secondly, OTSL has more inherent structure and a significantly restricted vocabulary size. This allows autoregressive models to perform better in the TED metric, but especially with regards to prediction accuracy of the table-cell bounding boxes (see Table 2). As shown in Figure 5, we observe that the OTSL drastically reduces the drift for table cell bounding boxes at high row count and in sparse tables. This leads to more accurate predictions and a significant reduction in post-processing complexity, which is an undesired necessity in HTML-based Im2Seq models. Significant novelty lies in OTSL syntactical rules, which are few, simple and always backwards looking. Each new token can be validated only by analyzing the sequence of previous tokens, without requiring the entire sequence to detect mistakes. This in return allows to perform structural error detection and correction on-the-fly during sequence generation.
+
+## References
+
+1. Auer, C., Dolfi, M., Carvalho, A., Ramis, C.B., Staar, P.W.J.: Delivering document conversion as a cloud service with high throughput and responsiveness. CoRR abs/2206.00785 (2022). <https://doi.org/10.48550/arXiv.2206.00785> , <https://doi.org/10.48550/arXiv.2206.00785>
+2. Chen, B., Peng, D., Zhang, J., Ren, Y., Jin, L.: Complex table structure recognition in the wild using transformer and identity matrix-based augmentation. In: Porwal, U., Fornés, A., Shafait, F. (eds.) Frontiers in Handwriting Recognition. pp. 545561. Springer International Publishing, Cham (2022)
+3. Chi, Z., Huang, H., Xu, H.D., Yu, H., Yin, W., Mao, X.L.: Complicated table structure recognition. arXiv preprint arXiv:1908.04729 (2019)
+4. Deng, Y., Rosenberg, D., Mann, G.: Challenges in end-to-end neural scientific table recognition. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). pp. 894-901. IEEE (2019)
+
+5. Kayal, P., Anand, M., Desai, H., Singh, M.: Tables to latex: structure and content extraction from scientific tables. International Journal on Document Analysis and Recognition (IJDAR) pp. 1-10 (2022)
+6. Li, M., Cui, L., Huang, S., Wei, F., Zhou, M., Li, Z.: Tablebank: A benchmark dataset for table detection and recognition (2019)
+7. Lee, E., Kwon, J., Yang, H., Park, J., Lee, S., Koo, H.I., Cho, N.I.: Table structure recognition based on grid shape graph. In: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). pp. 18681873. IEEE (2022)
+8. Livathinos, N., Berrospi, C., Lysak, M., Kuropiatnyk, V., Nassar, A., Carvalho, A., Dolfi, M., Auer, C., Dinkla, K., Staar, P.: Robust pdf document conversion using recurrent neural networks. Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15137-15145 (May 2021), <https://ojs.aaai.org/index.php/> AAAI/article/view/17777
+9. Nassar, A., Livathinos, N., Lysak, M., Staar, P.: Tableformer: Table structure understanding with transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4614-4623 (June 2022)
+10. Pfitzmann, B., Auer, C., Dolfi, M., Nassar, A.S., Staar, P.W.J.: Doclaynet: A large human-annotated dataset for document-layout segmentation. In: Zhang, A., Rangwala, H. (eds.) KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. pp. 3743-3751. ACM (2022). <https://doi.org/10.1145/3534678.3539043> , https:// doi.org/10.1145/3534678.3539043
+11. Prasad, D., Gadpal, A., Kapadni, K., Visave, M., Sultanpure, K.: Cascadetabnet: An approach for end to end table detection and structure recognition from imagebased documents. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. pp. 572-573 (2020)
+12. Siddiqui, S.A., Fateh, I.A., Rizvi, S.T.R., Dengel, A., Ahmed, S.: Deeptabstr: Deep learning based table structure recognition. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). pp. 1403-1409 (2019). https:// doi.org/10.1109/ICDAR.2019.00226
+13. Schreiber, S., Agne, S., Wolf, I., Dengel, A., Ahmed, S.: Deepdesrt: Deep learning for detection and structure recognition of tables in document images. In: 2017 14th IAPR international conference on document analysis and recognition (ICDAR). vol. 1, pp. 1162-1167. IEEE (2017)
+14. Smock, B., Pesala, R., Abraham, R.: PubTables-1M: Towards comprehensive table extraction from unstructured documents. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). pp. 4634-4642 (June 2022)
+15. Staar, P.W.J., Dolfi, M., Auer, C., Bekas, C.: Corpus conversion service: A machine learning platform to ingest documents at scale. In: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining. pp. 774-782. KDD '18, Association for Computing Machinery, New York, NY, USA (2018). <https://doi.org/10.1145/3219819.3219834> , <https://doi.org/10>. 1145/3219819.3219834
+16. Wang, X.: Tabular Abstraction, Editing, and Formatting. Ph.D. thesis, CAN (1996), aAINN09397
+17. Xue, W., Li, Q., Tao, D.: Res2tim: Reconstruct syntactic structures from table images. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). pp. 749-755. IEEE (2019)
+
+18. Xue, W., Yu, B., Wang, W., Tao, D., Li, Q.: Tgrnet: A table graph reconstruction network for table structure recognition. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 1295-1304 (2021)
+19. Ye, J., Qi, X., He, Y., Chen, Y., Gu, D., Gao, P., Xiao, R.: Pingan-vcgroup's solution for icdar 2021 competition on scientific literature parsing task b: Table recognition to html (2021). <https://doi.org/10.48550/ARXIV.2105.01848> , <https://arxiv.org/abs/2105.01848>
+20. Zhang, Z., Zhang, J., Du, J., Wang, F.: Split, embed and merge: An accurate table structure recognizer. Pattern Recognition 126 , 108565 (2022)
+21. Zheng, X., Burdick, D., Popa, L., Zhong, X., Wang, N.X.R.: Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context. In: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). pp. 697-706 (2021). <https://doi.org/10.1109/WACV48630.2021>. 00074
+22. Zhong, X., ShafieiBavani, E., Jimeno Yepes, A.: Image-based table recognition: Data, model, and evaluation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.M. (eds.) Computer Vision - ECCV 2020. pp. 564-580. Springer International Publishing, Cham (2020)
+23. Zhong, X., Tang, J., Yepes, A.J.: Publaynet: largest dataset ever for document layout analysis. In: 2019 International Conference on Document Analysis and Recognition (ICDAR). pp. 1015-1022. IEEE (2019)

tools/benchmark-harness/vendored/docling/md/4833695495684096.md

@@ -0,0 +1,3 @@
+## Goodbye Cruel World
+
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tools/benchmark-harness/vendored/docling/md/RECEIPT-2024-TXN-98765_retail_purchase.md

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+_1XN98/65202411231432_
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tools/benchmark-harness/vendored/docling/md/REPAIR-2022-INV-001_multipage.md

@@ -0,0 +1,191 @@
+ZAVA
+
+AUTO REPAIR
+
+<!-- image -->
+
+## ZAVA AUTO REPAIR
+
+Certified Collision Repair
+
+123 Main Street, Redmond, WA 98052 Phone: (425) 000-0000
+
+## Preliminary Estimate (ID: EST-1008)
+
+## Customer Information
+
+## Vehicle Information
+
+Insured name
+
+Gabriel Diaz
+
+Year
+
+2022
+
+Claim #
+
+SF-1008
+
+Make
+
+Jeep
+
+Policy #
+
+POL-2022-555
+
+Model
+
+Grand Cherokee
+
+Phone
+
+(425) 111-1111
+
+Trim
+
+Limited
+
+Email
+
+gabriel@contoso.com
+
+VIN
+
+1C4RJFBG2NC123456
+
+Color
+
+White
+
+Odometer
+
+9,800
+
+Repair Order #
+
+RO-20221108
+
+Estimator
+
+Ellis Turner
+
+## Estimate Totals
+
+|                  | Hours | Rate   | Cost   |
+| ---------------- | ----- | ------ | ------ |
+| Parts            |       |        | 2,100  |
+| Body Labor       | 2     | 150    | 300    |
+| Paint Labor      | 1.5   | 150    | 225    |
+| Mechanical Labor | -     | -      | -      |
+| Supplies         |       |        |        |
+| Paint Supplies   |       |        | 60     |
+| Body Supplies    |       |        | 30     |
+| Other Charges    |       |        | 15     |
+| Subtotal         |       |        | 2,730  |
+| Sales Tax        |       | 10.20% | 278.46 |
+| GRAND TOTAL      |       |        | 5,738  |
+
+## Note
+
+Minor rear bumper repair
+
+This is a preliminary estimate for the visible damage of the vehicle. Additional damage / repairs / parts may be found after the vehicle has been disassembled and damaged parts have been removed. Suspension damages may be present, but can not be determined until an alignment on the vehicle has been done. Parts Prices may vary due to models and vehicle maker price updates. Please be advised if vehicle owner elects to have vehicle sent to service for any mechanical concerns, ALL service departments charge a vehicle diagnostic charge. If the mechanical concern is deemed not related to an insurance claim, vehicle owner will be reponsible for charges.
+
+ZAVA
+
+AUTO REPAIR
+
+<!-- image -->
+
+## ZAVA AUTO REPAIR
+
+Certified Collision Repair 123 Main Street, Redmond, WA 98052
+
+Phone: (425) 000-0000
+
+## Preliminary Estimate (ID: EST-1008)
+
+## Customer Information
+
+## Vehicle Information
+
+Insured name
+
+Bruce Wayne
+
+Year
+
+2025
+
+Claim #
+
+999
+
+Make
+
+Batman
+
+Policy #
+
+IM-BATMAN
+
+Model
+
+Batmobile
+
+Phone
+
+(416) 555-1234
+
+Trim
+
+Limited
+
+Email
+
+batman@wayneindustries.com
+
+VIN
+
+XXX
+
+Color
+
+Black
+
+Odometer
+
+1
+
+Repair Order #
+
+RO-20221108
+
+Estimator
+
+Ellis Turner
+
+## Estimate Totals
+
+|                  | Hours | Rate   | Cost      |
+| ---------------- | ----- | ------ | --------- |
+| Parts            |       |        | 99,999    |
+| Body Labor       | 2     | 150    | 300       |
+| Paint Labor      | 1.5   | 150    | 225       |
+| Mechanical Labor | -     | -      | -         |
+| Supplies         |       |        |           |
+| Paint Supplies   |       |        | 60        |
+| Body Supplies    |       |        | 30        |
+| Other Charges    |       |        | 15        |
+| Subtotal         |       |        | 100,629   |
+| Sales Tax        |       | 10.20% | 10264.158 |
+| GRAND TOTAL      |       |        | 211,522   |
+
+Note
+
+Minor rear bumper repair
+
+This is a preliminary estimate for the visible damage of the vehicle. Additional damage / repairs / parts may be found after the vehicle has been disassembled and damaged parts have been removed. Suspension damages may be present, but can not be determined until an alignment on the vehicle has been done. Parts Prices may vary due to models and vehicle maker price updates. Please be advised if vehicle owner elects to have vehicle sent to service for any mechanical concerns, ALL service departments charge a vehicle diagnostic charge. If the mechanical concern is deemed not related to an insurance claim, vehicle owner will be reponsible for charges.

tools/benchmark-harness/vendored/docling/md/SPARSE-2024-INV-1234_borderless_table.md

@@ -0,0 +1,71 @@
+SKU-8847
+
+Product Variance Analysis
+
+## INVENTORY RECONCILIATION REPORT
+
+SKU-7728
+
+Report ID:
+
+SPARSE-2024-INV-1234
+
+Warehouse:
+
+Distribution Center East
+
+Report Date:
+
+2024-11-15
+
+Prepared By:
+
+Sarah Martinez
+
+| Product Code | Location | Expected | Actual | Variance | Status   |
+| ------------ | -------- | -------- | ------ | -------- | -------- |
+| SKU-8847     | A-12     | 450      |        |          |          |
+|              | B-07     |          | 289    | -23      |          |
+| SKU-9201     |          | 780      | 778    |          | OK       |
+|              | C-15     |          |        | +15      |          |
+| SKU-4563     | D-22     |          | 156    |          | CRITICAL |
+|              |          | 180      |        | -24      |          |
+| SKU-7728     | A-08     | 920      |        |          |          |
+|              |          |          | 935    | +15      | OK       |
+
+## Variance Analysis
+
+<!-- image -->
+
+## Summary Statistics
+
+Total Variance Cost: $4,287.50
+
+Critical Items: 1
+
+Overall Accuracy: 97.2%
+
+## Detailed Analysis by Category
+
+The inventory reconciliation reveals several key findings. The primary variance driver is SKU-4563, which shows a -24 unit discrepancy requiring immediate investigation. Location B-07 handling of SKU-8847 also demonstrates significant variance. Cross-location verification protocols should be reviewed to prevent future discrepancies. The overall accuracy rate of 97.2% meets our target threshold, but critical items require expedited resolution to maintain operational efficiency.
+
+## Extended Inventory Review
+
+| Product Code | Category    | Unit Cost | Total Value | Last Audit | Notes      |
+| ------------ | ----------- | --------- | ----------- | ---------- | ---------- |
+| SKU-8847     | Electronics | $45.00    | $13,005.00  | 2024-10-15 |            |
+| SKU-9201     | Hardware    | $32.50    | $25,285.00  | 2024-10-22 | Verified   |
+| SKU-4563     | Software    | $120.00   | $18,720.00  |            | Critical   |
+| SKU-7728     | Accessories | $15.75    | $14,726.25  | 2024-11-01 |            |
+| SKU-3345     | Electronics | $67.00    | $22,445.00  | 2024-10-18 |            |
+| SKU-5512     | Hardware    | $89.00    | $31,150.00  |            | Pending    |
+| SKU-6678     | Software    | $200.00   | $42,000.00  | 2024-10-25 | High Value |
+| SKU-7789     | Accessories | $8.50     | $5,950.00   | 2024-11-05 |            |
+| SKU-2234     | Electronics | $125.00   | $35,000.00  |            |            |
+| SKU-1123     | Hardware    | $55.00    | $27,500.00  | 2024-10-30 | Verified   |
+
+## Recommendations
+
+1. Immediate review of SKU-4563 handling procedures. 2. Implement additional verification for critical items. 3. Schedule follow-up audit for high-value products (SKU-6678, SKU-2234).
+
+## Approval

tools/benchmark-harness/vendored/docling/md/WARN-Report-for-7-1-2015-to-03-25-2016.md

@@ -0,0 +1,688 @@
+<!-- image -->
+
+## WARN Report\*
+
+## Summary by Received Date 07/01/2015 - 03/25/2016 Fiscal Year
+
+\*Publication Note: This bi-weekly report is updated on the 10 th and 25 th of each month, if these dates fall on a weekend or holiday then the report is published the following working day.
+
+| Notice Date | Effective  | Received   | Company                              | City           | No. Of | Layoff/Closure              |
+| ----------- | ---------- | ---------- | ------------------------------------ | -------------- | ------ | --------------------------- |
+| 06/22/2015  | 03/25/2016 | 07/01/2015 | Maxim Integrated Product             | San Jose       | 150    | Closure Permanent           |
+| 06/30/2015  | 08/29/2015 | 07/01/2015 | McGraw-Hill Education                | Monterey       | 137    | Layoff Unknown at this time |
+| 06/30/2015  | 08/30/2015 | 07/01/2015 | Long Beach Memorial Medical Center   | Long Beach     | 90     | Layoff Permanent            |
+| 07/01/2015  | 09/02/2015 | 07/01/2015 | Leidos                               | El Segundo     | 72     | Layoff Permanent            |
+| 07/01/2015  | 09/30/2016 | 07/01/2015 | Bosch Healthcare Systems, Inc.       | Palo Alto      | 55     | Closure Permanent           |
+| 06/29/2015  | 09/01/2015 | 07/02/2015 | Encompass Digital Media, Inc.        | Los Angeles    | 41     | Closure Permanent           |
+| 07/02/2015  | 07/06/2015 | 07/02/2015 | Alphatec Spine                       | Carlsbad       | 99     | Layoff Permanent            |
+| 06/30/2015  | 08/07/2015 | 07/06/2015 | Symantec Corporation                 | Mountain View  | 60     | Layoff Permanent            |
+| 06/30/2015  | 08/31/2015 | 07/06/2015 | Fusion Contacts Centers, LLC         | Santa Maria    | 50     | Closure Permanent           |
+| 06/30/2015  | 09/15/2015 | 07/06/2015 | KLA-Tencor Corporation               | Milpitas       | 213    | Layoff Permanent            |
+| 07/01/2015  | 09/04/2015 | 07/06/2015 | Southern California Edison Company   | San Clemente   | 100    | Closure Permanent           |
+| 07/02/2015  | 09/01/2015 | 07/06/2015 | State Fish Company, Inc.             | Wilmington     | 76     | Closure Permanent           |
+| 07/02/2015  | 09/04/2015 | 07/06/2015 | Boeing Company                       | Long Beach     | 56     | Layoff Unknown at this time |
+| 07/06/2015  | 09/04/2015 | 07/06/2015 | Bridgepoint Education, Inc.          | San Diego      | 7      | Layoff Permanent            |
+| 07/06/2015  | 09/04/2015 | 07/06/2015 | Bridgepoint Education, Inc.          | San Diego      | 15     | Layoff Permanent            |
+| 07/01/2015  | 06/29/2015 | 07/07/2015 | BAE Systems                          | San Francisco  | 4      | Layoff Temporary            |
+| 07/01/2015  | 06/29/2015 | 07/07/2015 | BAE Systems                          | San Francisco  | 78     | Layoff Temporary            |
+| 07/01/2015  | 09/07/2015 | 07/07/2015 | Bay Bread LLC dba Bakery Los Angeles | San Fernando   | 50     | Closure Permanent           |
+| 07/01/2015  | 09/25/2015 | 07/07/2015 | Bay Bread LLC dba New French Bakery  | South San      | 121    | Closure Permanent           |
+| 07/02/2015  | 06/12/2015 | 07/07/2015 | Hewlett-Packard Company              | Palo Alto      | 65     | Layoff Permanent            |
+| 07/08/2015  | 09/06/2015 | 07/08/2015 | Microsoft Corporation                | San Diego      | 129    | Layoff Permanent            |
+| 06/25/2015  | 10/09/2015 | 07/10/2015 | Aramark Healthcare Support Services, | Culver City    | 53     | Closure Permanent           |
+| 07/01/2015  | 09/10/2015 | 07/10/2015 | Maxim Integrated Product             | San Jose       | 20     | Layoff Permanent            |
+| 07/06/2015  | 09/04/2015 | 07/10/2015 | ProCourier, Inc.                     | San Diego      | 22     | Layoff Unknown at this time |
+| 07/06/2015  | 09/04/2015 | 07/10/2015 | ProCourier, Inc.                     | Los Angeles    | 71     | Layoff Unknown at this time |
+| 07/07/2015  | 09/04/2015 | 07/10/2015 | ProCourier, Inc.                     | Irvine         | 22     | Layoff Unknown at this time |
+| 07/09/2015  | 07/22/2015 | 07/10/2015 | Berkeley Pyramid Alehouse            | Berkeley       | 63     | Closure Permanent           |
+| 07/09/2015  | 09/14/2015 | 07/10/2015 | Fireman's Fund Insurance Company     | Novato         | 35     | Layoff Permanent            |
+| 06/30/2015  | 08/31/2015 | 07/13/2015 | First Transit                        | San Bernardino | 127    | Layoff Permanent            |
+| 06/30/2015  | 08/31/2015 | 07/13/2015 | First Transit                        | Rancho         | 71     | Layoff Permanent            |
+| 07/10/2015  | 07/14/2015 | 07/13/2015 | 11 Main LLC                          | San Mateo      | 35     | Closure Permanent           |
+| 07/10/2015  | 07/14/2015 | 07/13/2015 | 11 Main LLC                          | Chico          | 44     | Layoff Permanent            |
+| 07/15/2015  | 07/15/2015 | 07/15/2015 | TaylorMade Golf Company              | Carlsbad       | 64     | Layoff Permanent            |
+| 07/08/2015  | 09/06/2015 | 07/16/2015 | Southern California Edison Company   | Rosemead       | 38     | Layoff Permanent            |
+| 07/14/2015  | 09/18/2015 | 07/20/2015 | Actavis, Inc.                        | Corona         | 45     | Layoff Permanent            |
+| 07/17/2015  | 07/13/2015 | 07/21/2015 | American Management Services LLC     | Monterey       | 56     | Closure Permanent           |
+
+| 07/17/2015 | 09/18/2015 | 07/21/2015 | Boeing Company                            | Huntington Beach | 65   | Layoff Unknown at this time |
+| ---------- | ---------- | ---------- | ----------------------------------------- | ---------------- | ---- | --------------------------- |
+| 07/17/2015 | 09/18/2015 | 07/21/2015 | Boeing Company                            | Long Beach       | 113  | Layoff Unknown at this time |
+| 07/17/2015 | 09/18/2015 | 07/21/2015 | Boeing Company                            | El Segundo       | 66   | Layoff Unknown at this time |
+| 07/17/2015 | 09/25/2015 | 07/21/2015 | Maxim Integrated Product                  | San Jose         | 11   | Layoff Permanent            |
+| 07/17/2015 | 09/26/2015 | 07/21/2015 | DS Services of America, Inc.              | Los Angeles      | 120  | Closure Permanent           |
+| 07/17/2015 | 09/26/2015 | 07/21/2015 | DS Services of America, Inc.              | Pasadena         | 200  | Closure Permanent           |
+| 07/20/2015 | 09/18/2015 | 07/21/2015 | Minno, Inc.                               | San Francisco    | 255  | Closure Permanent           |
+| 07/20/2015 | 09/18/2015 | 07/21/2015 | Safeway, Inc.                             | Pleasanton       | 14   | Layoff Unknown at this time |
+| 07/15/2015 | 09/15/2015 | 07/22/2015 | Oakley, Inc.                              | Foothill Ranch   | 137  | Layoff Unknown at this time |
+| 07/15/2015 | 09/15/2015 | 07/22/2015 | Oakley, Inc.                              | Lake Forest      | 22   | Layoff Unknown at this time |
+| 07/15/2015 | 09/15/2015 | 07/22/2015 | Oakley, Inc.                              | Encinitas        | 8    | Layoff Unknown at this time |
+| 07/20/2015 | 12/31/2017 | 07/22/2015 | Toyota Motor North America                | Gardena          | 100  | Closure Permanent           |
+| 07/20/2015 | 12/31/2017 | 07/22/2015 | Toyota Motor North America                | Torrance         | 3000 | Closure Permanent           |
+| 07/21/2015 | 07/22/2015 | 07/22/2015 | Cisco Systems, Inc.                       | San Jose         | 192  | Layoff Permanent            |
+| 07/20/2015 | 09/30/2015 | 07/23/2015 | IAP Worldwide Services, Inc.              | Mountain View    | 67   | Layoff Permanent            |
+| 07/21/2015 | 09/15/2015 | 07/23/2015 | Presse LLC dba Cafe de la Presse and      | San Francisco    | 85   | Closure Temporary           |
+| 07/10/2015 | 10/04/2015 | 07/24/2015 | Sears Holdings Corporation                | Cupertino        | 81   | Closure Permanent           |
+| 07/10/2015 | 10/04/2015 | 07/24/2015 | Sears Holdings Corporation                | Cupertino        | 17   | Closure Permanent           |
+| 07/14/2015 | 09/14/2015 | 07/24/2015 | Associate Management Resources, Inc.      | San Diego        | 533  | Closure Permanent           |
+| 07/10/2015 | 10/11/2015 | 07/27/2015 | Kmart                                     | Atwater          | 74   | Closure Permanent           |
+| 07/27/2015 | 09/25/2015 | 07/27/2015 | Safeway, Inc.                             | Pleasanton       | 37   | Layoff Unknown at this time |
+| 07/27/2015 | 09/30/2015 | 07/29/2015 | Hank Fisher Properties, Inc. - Chateau at | Carmichael       | 57   | Layoff Permanent            |
+| 07/27/2015 | 09/30/2015 | 07/29/2015 | Hank Fisher Properties, Inc. - Chateau    | Sacramento       | 42   | Layoff Permanent            |
+| 07/27/2015 | 09/30/2015 | 07/29/2015 | Hank Fisher Properties, Inc. - River's    | Sacramento       | 34   | Layoff Permanent            |
+| 07/27/2015 | 09/30/2015 | 07/29/2015 | Hank Fisher Properties, Inc. - The        | Sacramento       | 89   | Layoff Permanent            |
+| 07/27/2015 | 10/15/2015 | 07/29/2015 | Hank Fisher Properties, Inc.              | Sacramento       | 7    | Layoff Permanent            |
+| 07/27/2015 | 12/31/2015 | 07/29/2015 | Hank Fisher Properties, Inc. - Leisure    | Sacramento       | 13   | Layoff Permanent            |
+| 07/29/2015 | 09/30/2015 | 07/29/2015 | SPS Distribution Center                   | Paso Robles      | 8    | Closure Permanent           |
+| 07/23/2015 | 07/31/2015 | 07/30/2015 | Turf Terminators, LLC                     | Los Angeles      | 94   | Layoff Permanent            |
+| 07/29/2015 | 07/28/2015 | 07/30/2015 | Relativity Media                          | Beverly Hills    | 33   | Layoff Permanent            |
+| 07/29/2015 | 07/28/2015 | 07/30/2015 | Relativity Media                          | Beverly Hills    | 28   | Layoff Permanent            |
+| 07/29/2015 | 09/28/2015 | 07/30/2015 | Buca Restaurants 2, Inc.(CANCELLED)\*\*   | Santa Monica     | 61   | Closure Permanent           |
+| 07/30/2015 | 09/30/2015 | 07/30/2015 | United Technologies Corporation           | San Diego        | 21   | Closure Permanent           |
+| 07/28/2015 | 09/26/2015 | 07/31/2015 | Kixeye, Inc.                              | San Francisco    | 62   | Layoff Permanent            |
+| 07/31/2015 | 10/02/2015 | 07/31/2015 | Boston Scientific Corporation             | Fremont          | 284  | Closure Permanent           |
+| 07/31/2015 | 10/02/2015 | 07/31/2015 | Boston Scientific Corporation             | San Jose         | 171  | Closure Permanent           |
+| 07/20/2015 | 09/30/2015 | 08/03/2015 | Ruan Transportation Corporation           | Ripon            | 78   | Closure Permanent           |
+| 07/27/2015 | 09/30/2015 | 08/03/2015 | Armstrong Growers                         | San Juan         | 56   | Closure Permanent           |
+| 07/28/2015 | 09/28/2015 | 08/03/2015 | CR Briggs Corporation                     | Trona            | 5    | Layoff Permanent            |
+| 07/29/2015 | 08/03/2015 | 08/03/2015 | Molycorp Minerals LLC                     | Mountain Pass    | 474  | Layoff Permanent            |
+| 07/30/2015 | 09/30/2015 | 08/03/2015 | Binder & Binder                           | Orange           | 70   | Closure Permanent           |
+| 07/31/2015 | 09/30/2015 | 08/03/2015 | Driscoll's Strawberry Associates, Inc.    | Salinas          | 38   | Closure Permanent           |
+| 07/27/2015 | 10/23/2015 | 08/04/2015 | Hilton San Francisco Union Square         | San Francisco    | 78   | Layoff Permanent            |
+
+| 08/03/2015 | 10/05/2015 | 08/04/2015 | Owens-Brockway Glass Container Inc.  | Oakland          | 202 | Closure Permanent            |
+| ---------- | ---------- | ---------- | ------------------------------------ | ---------------- | --- | ---------------------------- |
+| 07/30/2015 | 07/30/2015 | 08/05/2015 | Abbott Vascular                      | Temecula         | 133 | Layoff Permanent             |
+| 07/30/2015 | 07/30/2015 | 08/05/2015 | Abbott Vascular                      | Temecula         | 3   | Layoff Permanent             |
+| 07/30/2015 | 07/30/2015 | 08/05/2015 | Abbott Vascular                      | Temecula         | 27  | Layoff Permanent             |
+| 07/30/2015 | 07/30/2015 | 08/05/2015 | Abbott Vascular                      | Santa Clara      | 81  | Layoff Permanent             |
+| 08/04/2015 | 09/11/2015 | 08/07/2015 | Anna's Linens, Inc.                  | Costa Mesa       | 29  | Closure Permanent            |
+| 07/31/2015 | 10/02/2015 | 08/10/2015 | Boeing Company                       | Long Beach       | 8   | Layoff Unknown at this time  |
+| 08/10/2015 | 10/09/2015 | 08/10/2015 | Safeway, Inc.                        | Pleasanton       | 37  | Layoff Unknown at this time  |
+| 08/04/2015 | 10/05/2015 | 08/11/2015 | CGR/Thompson Industries, Inc.        | Fullerton        | 102 | Closure Permanent            |
+| 08/10/2015 | 10/15/2015 | 08/12/2015 | BI NUTRACEUTICALS, INC.              | Long Beach       | 54  | Layoff Permanent             |
+| 08/05/2015 | 09/30/2015 | 08/13/2015 | Lyris, Inc.                          | Emeryville       | 72  | Layoff Permanent             |
+| 08/05/2015 | 09/30/2015 | 08/13/2015 | Lyris, Inc.                          | Santa Clara      | 7   | Layoff Permanent             |
+| 08/05/2015 | 10/09/2015 | 08/13/2015 | Ralphs Grocery Company               | Pico Rivera      | 67  | Layoff Permanent             |
+| 08/12/2015 | 10/12/2015 | 08/13/2015 | Chevron                              | San Ramon        | 430 | Layoff Permanent             |
+| 08/12/2015 | 10/12/2015 | 08/13/2015 | Chevron                              | Richmond         | 70  | Layoff Permanent             |
+| 08/12/2015 | 10/16/2015 | 08/13/2015 | Quest Diagnostics Incorporated       | San Jose         | 78  | Layoff Permanent             |
+| 08/13/2015 | 10/23/2015 | 08/13/2015 | Motorola Mobility LLC                | Sunnyvale        | 213 | Layoff Permanent             |
+| 08/14/2015 | 10/14/2015 | 08/14/2015 | Raytheon Intelligence, Information & | Chula Vista      | 41  | Closure Unknown at this time |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2154)           | Newbury Park     | 38  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2157)           | Simi Valley      | 48  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2199)           | Simi Valley      | 53  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2201)           | Irvine           | 47  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2203)           | Mission Viejo    | 41  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2213)           | Santa Clarita    | 33  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2215)           | Tustin           | 33  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/17/2015 | Haggen, Inc. (Store #2216)           | Tustin           | 36  | Closure Permanent            |
+| 08/12/2015 | 10/16/2015 | 08/18/2015 | Sky Aerospace Products               | Los Angeles      | 53  | Closure Permanent            |
+| 08/13/2015 | 10/16/2015 | 08/18/2015 | Ralphs Grocery Company               | Hermosa Beach    | 74  | Layoff Permanent             |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2183)           | El Cajon         | 49  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2185)           | La Mesa          | 37  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2191)           | San Marcos       | 36  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2193)           | Chula Vista      | 37  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2194)           | Chula Vista      | 31  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2207)           | San Ysidro       | 41  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2208)           | Bakersfield      | 36  | Closure Permanent            |
+| 08/14/2015 | 10/13/2015 | 08/18/2015 | Haggen, Inc. (Store #2210)           | Los Osos         | 24  | Closure Permanent            |
+| 08/14/2015 | 10/25/2015 | 08/18/2015 | Ralphs Grocery Company               | Santa Ana        | 75  | Layoff Permanent             |
+| 08/14/2015 | 10/27/2015 | 08/18/2015 | USS-POSCO Industries                 | Pittsburg        | 661 | Layoff Temporary             |
+| 08/06/2015 | 10/30/2015 | 08/19/2015 | Zimmer Biomet Dental (Aston)         | Carlsbad         | 97  | Closure Permanent            |
+| 08/06/2015 | 10/30/2015 | 08/19/2015 | Zimmer Biomet Dental (El Camino)     | Carlsbad         | 172 | Closure Permanent            |
+| 08/06/2015 | 10/30/2015 | 08/19/2015 | Zimmer Biomet, Inc. (Darwin Ct)      | Carlsbad         | 10  | Closure Permanent            |
+| 08/18/2015 | 10/18/2015 | 08/19/2015 | KND Development 53, L.L.C., d/b/a    | Hawaiian Gardens | 94  | Closure Permanent            |
+| 08/17/2015 | 10/16/2015 | 08/21/2015 | Soitec Solar Industries, LLC         | San Diego        | 100 | Closure Permanent            |
+
+| 08/20/2015 | 10/19/2015 | 08/21/2015 | Safeway                                 | Walnut Creek     | 63  | Closure Permanent           |
+| ---------- | ---------- | ---------- | --------------------------------------- | ---------------- | --- | --------------------------- |
+| 08/20/2015 | 10/22/2015 | 08/21/2015 | XOMA (US) LLC                           | Berkeley         | 39  | Layoff Permanent            |
+| 08/21/2015 | 10/23/2015 | 08/21/2015 | Western Digital Technologies, Inc.      | Mountain View    | 56  | Layoff Permanent            |
+| 08/21/2015 | 10/23/2015 | 08/21/2015 | Western Digital Technologies, Inc.      | Irvine           | 81  | Layoff Permanent            |
+| 08/20/2015 | 10/25/2015 | 08/24/2015 | Silgan Containers                       | Riverbank        | 180 | Layoff Temporary            |
+| 08/21/2015 | 10/23/2015 | 08/25/2015 | Boeing Company                          | Huntington Beach | 26  | Layoff Unknown at this time |
+| 08/21/2015 | 10/23/2015 | 08/25/2015 | Boeing Company                          | Long Beach       | 113 | Layoff Unknown at this time |
+| 08/21/2015 | 10/23/2015 | 08/25/2015 | Boeing Company                          | El Segundo       | 39  | Layoff Unknown at this time |
+| 08/24/2015 | 10/31/2015 | 08/25/2015 | Mesa Beverage Co., Inc.                 | Santa Rosa       | 137 | Layoff Permanent            |
+| 08/25/2015 | 10/24/2015 | 08/26/2015 | Patina Group NewCo, LLC.                | Los Angeles      | 317 | Layoff Unknown at this time |
+| 08/27/2015 | 08/31/2015 | 08/27/2015 | VT West, Inc.                           | La Mirada        | 68  | Layoff Permanent            |
+| 08/25/2015 | 10/26/2015 | 08/28/2015 | Intuit Inc.                             | San Diego        | 9   | Layoff Permanent            |
+| 08/25/2015 | 10/26/2015 | 08/28/2015 | Intuit Inc.                             | Menlo Park       | 8   | Layoff Permanent            |
+| 08/25/2015 | 10/26/2015 | 08/28/2015 | Intuit Inc.                             | San Francisco    | 2   | Layoff Permanent            |
+| 08/25/2015 | 10/26/2015 | 08/28/2015 | Intuit Inc.                             | Woodland Hills   | 46  | Layoff Permanent            |
+| 08/25/2015 | 10/26/2015 | 08/28/2015 | Intuit Inc.                             | Mountain View    | 45  | Layoff Permanent            |
+| 08/27/2015 | 10/30/2015 | 08/28/2015 | Sheraton Operating Corporation          | Palm Desert      | 124 | Layoff Permanent            |
+| 08/25/2015 | 11/07/2015 | 08/31/2015 | San Jose Airport Garden Hotel           | San Jose         | 123 | Closure Permanent           |
+| 08/31/2015 | 10/30/2015 | 08/31/2015 | Safeway Inc.                            | Pleasanton       | 5   | Layoff Unknown at this time |
+| 08/28/2015 | 10/30/2015 | 09/01/2015 | Boeing Company                          | Long Beach       | 2   | Layoff Unknown at this time |
+| 08/28/2015 | 10/30/2015 | 09/01/2015 | Boeing Company                          | Huntington Beach | 6   | Layoff Unknown at this time |
+| 08/28/2015 | 10/30/2015 | 09/01/2015 | Boeing Company                          | El Segundo       | 106 | Layoff Unknown at this time |
+| 08/28/2015 | 11/01/2015 | 09/01/2015 | Kor Hotel Management, LLC dba Viceroy   | San Francisco    | 47  | Closure Temporary           |
+| 09/01/2015 | 11/02/2015 | 09/02/2015 | M.E. Fox & Company, Inc.                | San Jose         | 127 | Layoff Permanent            |
+| 09/01/2015 | 11/03/2015 | 09/03/2015 | Sheraton Operating Corporation          | Dana Point       | 610 | Closure Temporary           |
+| 08/24/2015 | 10/23/2015 | 09/04/2015 | Park 'N Fly San Diego and Park 'N Fly,  | San Diego        | 71  | Layoff Permanent            |
+| 09/02/2015 | 11/06/2015 | 09/04/2015 | Acclarent, Inc.                         | Menlo Park       | 114 | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation                      | Torrance         | 9   | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation                      | Santa Monica     | 12  | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (700 Wilshire store) | Los Angeles      | 10  | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (Broadway Arcade     | Los Angeles      | 9   | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (City National       | Los Angeles      | 4   | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (Pacific Center      | Los Angeles      | 11  | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (Roosevelt store)    | Los Angeles      | 9   | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (Two California      | Los Angeles      | 10  | Layoff Unknown at this time |
+| 09/03/2015 | 10/30/2015 | 09/04/2015 | FAMIMA Corporation (Union Station       | Los Angeles      | 20  | Layoff Unknown at this time |
+| 09/03/2015 | 11/02/2015 | 09/04/2015 | MiaSole Hi-Tech Corp. (Santa Clara-     | Santa Clara      | 1   | Layoff Permanent            |
+| 09/03/2015 | 11/02/2015 | 09/04/2015 | MiaSole Hi-Tech Corp. (Santa Clara-     | Santa Clara      | 64  | Layoff Permanent            |
+| 09/03/2015 | 11/02/2015 | 09/04/2015 | MiaSole Hi-Tech Corp. (Sunnyvale-       | Sunnyvale        | 14  | Layoff Permanent            |
+| 08/28/2015 | 08/25/2015 | 09/08/2015 | BAE SYSTEMS                             | San Francisco    | 134 | Layoff Temporary            |
+| 09/02/2015 | 11/06/2015 | 09/10/2015 | Mentor Worldwide LLC                    | Santa Barbara    | 81  | Layoff Unknown at this time |
+| 09/10/2015 | 11/09/2015 | 09/10/2015 | Collecto, Inc. dba EOS CCA              | Novato           | 45  | Closure Permanent           |
+| 09/10/2015 | 11/10/2015 | 09/10/2015 | Western Digital Technologies, Inc.      | Irvine           | 143 | Layoff Permanent            |
+
+| 09/01/2015 | 11/01/2015 | 09/11/2015 | Zenith Education Group            | Santa Ana        | 18  | Layoff Permanent            |
+| ---------- | ---------- | ---------- | --------------------------------- | ---------------- | --- | --------------------------- |
+| 09/04/2015 | 09/04/2015 | 09/11/2015 | Quiksilver, Inc.                  | Huntington Beach | 77  | Layoff Permanent            |
+| 09/04/2015 | 11/06/2015 | 09/14/2015 | Boeing Company                    | Long Beach       | 2   | Layoff Unknown at this time |
+| 09/10/2015 | 11/09/2015 | 09/14/2015 | Seagate US LLC                    | Cupertino        | 62  | Layoff Permanent            |
+| 09/11/2015 | 09/14/2015 | 09/14/2015 | Cisco Systems, Inc.               | San Jose         | 20  | Layoff Permanent            |
+| 09/11/2015 | 09/29/2015 | 09/14/2015 | AT&T                              | San Ramon        | 219 | Layoff Permanent            |
+| 09/15/2015 | 07/20/2015 | 09/16/2015 | GREE International, Inc.          | San Francisco    | 114 | Layoff Unknown at this time |
+| 09/15/2015 | 11/14/2015 | 09/16/2015 | Brake Parts Inc.                  | Chowchilla       | 107 | Layoff Permanent            |
+| 09/16/2015 | 09/17/2015 | 09/16/2015 | Halliburton Energy Services, Inc. | Bakersfield      | 52  | Layoff Permanent            |
+| 09/15/2015 | 09/30/2015 | 09/17/2015 | CareFusion (Pacific Mesa)         | San Diego        | 19  | Layoff Permanent            |
+| 09/15/2015 | 09/30/2015 | 09/17/2015 | CareFusion (Torrey View)          | San Diego        | 76  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/17/2015 | Qualcomm Incorporated             | San Jose         | 10  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/17/2015 | Qualcomm Incorporated             | San Jose         | 14  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/17/2015 | Qualcomm Incorporated             | San Jose         | 36  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/17/2015 | Qualcomm Incorporated             | Santa Clara      | 70  | Layoff Permanent            |
+| 09/14/2015 | 11/20/2015 | 09/18/2015 | AbilityFirst                      | Woodland Hills   | 105 | Closure Permanent           |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 33  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 17  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | Carlsbad         | 1   | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 9   | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 30  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 40  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 358 | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 158 | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 35  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 6   | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 227 | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 9   | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 21  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 14  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 208 | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 65  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 80  | Layoff Permanent            |
+| 09/17/2015 | 11/20/2015 | 09/18/2015 | Qualcomm Incorporated             | San Diego        | 3   | Layoff Permanent            |
+| 09/11/2015 | 11/13/2015 | 09/21/2015 | Boeing Company                    | El Segundo       | 3   | Layoff Temporary            |
+| 09/16/2015 | 11/16/2015 | 09/22/2015 | Intuit Inc.                       | Woodland Hills   | 12  | Layoff Permanent            |
+| 09/16/2015 | 11/20/2015 | 09/22/2015 | Ralphs Grocery Company            | Glendora         | 73  | Layoff Permanent            |
+| 09/17/2015 | 11/16/2015 | 09/22/2015 | MCC BB Property LLC               | Santa Barbara    | 23  | Layoff Permanent            |
+| 09/21/2015 | 11/22/2015 | 09/22/2015 | TGI Friday's                      | Valencia         | 62  | Closure Permanent           |
+| 09/24/2015 | 01/06/2016 | 09/24/2015 | Medtronic Distribution            | Mira Loma        | 21  | Layoff Permanent            |
+| 09/24/2015 | 11/23/2015 | 09/24/2015 | Bridgepoint Education, Inc.       | San Diego        | 19  | Layoff Permanent            |
+| 09/18/2015 | 11/20/2015 | 09/28/2015 | Boeing Company                    | El Segundo       | 54  | Layoff Permanent            |
+| 09/18/2015 | 11/20/2015 | 09/28/2015 | Boeing Company                    | Long Beach       | 37  | Layoff Permanent            |
+
+| 09/18/2015 | 11/20/2015 | 09/28/2015 | Boeing Company                        | Huntington Beach | 23  | Layoff Permanent             |
+| ---------- | ---------- | ---------- | ------------------------------------- | ---------------- | --- | ---------------------------- |
+| 09/21/2015 | 11/20/2015 | 09/28/2015 | Safeway Inc.                          | Pleasanton       | 15  | Layoff Unknown at this time  |
+| 09/24/2015 | 11/27/2015 | 09/28/2015 | Brice Manufacturing Company, Inc.     | Pacoima          | 9   | Layoff Permanent             |
+| 09/28/2015 | 11/27/2015 | 09/28/2015 | Safeway, Inc.                         | Pleasanton       | 4   | Layoff Unknown at this time  |
+| 09/24/2015 | 09/24/2015 | 09/29/2015 | Space Systems/Loral, LLC              | Palo Alto        | 90  | Layoff Permanent             |
+| 09/25/2015 | 11/23/2015 | 09/29/2015 | Flagship Food Group                   | Chatsworth       | 123 | Closure Permanent            |
+| 09/30/2015 | 05/01/2016 | 09/30/2015 | Packaging Advantage Corporation DBA   | Los Angeles      | 192 | Closure Permanent            |
+| 09/30/2015 | 11/30/2015 | 09/30/2015 | San Diego Sports, LLC                 | San Diego        | 123 | Closure Permanent            |
+| 09/30/2015 | 11/30/2015 | 09/30/2015 | United Technologies Corporation       | San Diego        | 7   | Closure Permanent            |
+| 09/28/2015 | 11/27/2015 | 10/01/2015 | MobiTV, Inc.                          | Emeryville       | 54  | Layoff Permanent             |
+| 09/30/2015 | 11/30/2015 | 10/01/2015 | SunEdison, Inc.                       | Belmont          | 51  | Layoff Permanent             |
+| 09/30/2015 | 11/30/2016 | 10/01/2015 | SunEdison, Inc.                       | San Francisco    | 11  | Layoff Permanent             |
+| 09/30/2015 | 12/04/2015 | 10/01/2015 | Fireman's Fund Insurance Company      | Novato           | 73  | Layoff Permanent             |
+| 09/24/2015 | 12/01/2015 | 10/02/2015 | Menzies Aviation                      | Los Angeles      | 51  | Layoff Permanent             |
+| 10/01/2015 | 01/16/2016 | 10/02/2015 | Kohl's Department Stores, Inc.        | Santa Clara      | 119 | Closure Permanent            |
+| 10/02/2015 | 10/02/2015 | 10/02/2015 | Aerotek, Inc.                         | Oxnard           | 58  | Layoff Unknown at this time  |
+| 09/29/2015 | 11/30/2015 | 10/05/2015 | Kythera Biopharmaceuticals, Inc.      | Westlake Village | 117 | Layoff Permanent             |
+| 10/02/2015 | 11/05/2015 | 10/05/2015 | GMRI, Inc.                            | Los Angeles      | 83  | Closure Permanent            |
+| 10/02/2015 | 12/04/2015 | 10/05/2015 | Svenhard's Swedish Bakery             | Oakland          | 162 | Closure Permanent            |
+| 10/05/2015 | 12/05/2015 | 10/06/2015 | Marine Terminal Corporation           | Los Angeles      | 136 | Closure Permanent            |
+| 10/05/2015 | 12/05/2015 | 10/06/2015 | Marine Terminal Corporation           | Oakland          | 39  | Closure Permanent            |
+| 10/06/2015 | 12/07/2015 | 10/08/2015 | MullinTBG                             | El Segundo       | 50  | Layoff Permanent             |
+| 10/06/2015 | 12/07/2015 | 10/08/2015 | MullinTBG                             | Irvine           | 3   | Layoff Permanent             |
+| 10/08/2015 | 09/25/2015 | 10/08/2015 | Onyx Pharmaceuticals, Inc             | South San        | 377 | Closure Permanent            |
+| 10/06/2015 | 12/05/2015 | 10/09/2015 | Ports America Shared Services, Inc.   | Terminal Island  | 7   | Layoff Permanent             |
+| 10/06/2015 | 12/05/2015 | 10/09/2015 | Ports America Shared Services, Inc.   | Oakland          | 4   | Layoff Permanent             |
+| 10/07/2015 | 11/24/2015 | 10/09/2015 | Triple B Corporation                  | Irwindale        | 124 | Closure Permanent            |
+| 10/06/2015 | 12/06/2015 | 10/12/2015 | Apro Distribution, LLC                | Gardena          | 61  | Layoff Permanent             |
+| 10/07/2015 | 12/07/2015 | 10/12/2015 | Southern California Edison Company    | Irwindale        | 32  | Layoff Permanent             |
+| 10/08/2015 | 12/28/2015 | 10/12/2015 | Barclays Capital Inc.                 | San Francisco    | 20  | Layoff Permanent             |
+| 10/08/2015 | 12/28/2015 | 10/12/2015 | Barclays Capital Inc.                 | Los Angeles      | 15  | Layoff Permanent             |
+| 10/01/2015 | 12/07/2015 | 10/13/2015 | General Dynamics Advanced Information | Thousand Oaks    | 55  | Closure Permanent            |
+| 10/13/2015 | 12/18/2015 | 10/13/2015 | WDMedia, LLC                          | San Jose         | 2   | Layoff Permanent             |
+| 10/13/2015 | 12/18/2015 | 10/13/2015 | Western Digital, LLC                  | Fremont          | 109 | Layoff Permanent             |
+| 09/29/2015 | 10/14/2015 | 10/14/2015 | TTM Technologies, Inc.                | Milpitas         | 175 | Closure Unknown at this time |
+| 10/01/2015 | 12/01/2015 | 10/14/2015 | Zenith Education Group                | Santa Ana        | 48  | Layoff Permanent             |
+| 10/12/2015 | 12/11/2015 | 10/14/2015 | Rockwell Collins, Inc.                | Poway            | 29  | Layoff Permanent             |
+| 10/12/2015 | 12/13/2015 | 10/14/2015 | Twitter, Inc.                         | San Francisco    | 240 | Layoff Permanent             |
+| 10/14/2015 | 12/19/2015 | 10/14/2015 | GENCO                                 | Eastvale         | 68  | Layoff Permanent             |
+| 10/01/2015 | 11/30/2015 | 10/15/2015 | Boeing Company                        | Long Beach       | 1   | Layoff Unknown at this time  |
+| 10/09/2015 | 12/11/2015 | 10/15/2015 | Boeing Company                        | Huntington Beach | 76  | Layoff Unknown at this time  |
+| 10/09/2015 | 12/11/2015 | 10/15/2015 | Boeing Company                        | Long Beach       | 36  | Layoff Unknown at this time  |
+| 10/09/2015 | 12/11/2015 | 10/15/2015 | Boeing Company                        | El Segundo       | 109 | Layoff Unknown at this time  |
+
+| 10/15/2015 | 12/15/2015 | 10/16/2015 | Danmer Custom Shutters                | Van Nuys      | 70  | Layoff Permanent             |
+| ---------- | ---------- | ---------- | ------------------------------------- | ------------- | --- | ---------------------------- |
+| 10/16/2015 | 12/15/2015 | 10/16/2015 | Marvell Semiconductor, Inc.           | Aliso Viejo   | 9   | Layoff Permanent             |
+| 10/16/2015 | 12/15/2015 | 10/16/2015 | Marvell Semiconductor, Inc.           | Santa Clara   | 12  | Layoff Permanent             |
+| 10/16/2015 | 12/18/2015 | 10/16/2015 | Bridgepoint Education, Inc.           | San Diego     | 3   | Layoff Permanent             |
+| 10/16/2015 | 12/18/2015 | 10/16/2015 | Bridgepoint Education, Inc.           | San Diego     | 1   | Layoff Permanent             |
+| 10/15/2015 | 10/02/2015 | 10/19/2015 | Hewlett-Packard Company               | Palo Alto     | 65  | Layoff Permanent             |
+| 10/15/2015 | 12/22/2015 | 10/19/2015 | PCM, Inc.                             | Laguna Woods  | 968 | Layoff Permanent             |
+| 09/29/2015 | 12/31/2015 | 10/20/2015 | DD Traders, Inc.                      | San Francisco | 18  | Layoff Permanent             |
+| 10/19/2015 | 12/20/2015 | 10/20/2015 | Tra Vigne                             | Saint Helena  | 136 | Closure Permanent            |
+| 10/20/2015 | 01/01/2016 | 10/21/2015 | City Winery Napa                      | Napa          | 37  | Closure Permanent            |
+| 10/20/2015 | 12/21/2015 | 10/21/2015 | XOMA (US) LLC                         | Berkeley      | 13  | Layoff Permanent             |
+| 10/21/2015 | 12/20/2015 | 10/21/2015 | Microsoft Corporation                 | San Diego     | 4   | Closure Unknown at this time |
+| 10/15/2015 | 12/15/2015 | 10/22/2015 | Hersha Hospitality Management LP      | Los Angeles   | 71  | Closure Temporary            |
+| 10/20/2015 | 10/23/2015 | 10/22/2015 | Halliburton Energy Services, Inc.     | Bakersfield   | 6   | Layoff Permanent             |
+| 10/21/2015 | 10/23/2015 | 10/22/2015 | Fresh & Easy, LLC                     | Torrance      | 106 | Closure Permanent            |
+| 10/21/2015 | 10/23/2015 | 10/22/2015 | Fresh & Easy, LLC Campus Kitchen      | Riverside     | 307 | Closure Permanent            |
+| 10/21/2015 | 10/23/2015 | 10/22/2015 | Fresh & Easy, LLC Campus Produce      | Riverside     | 336 | Closure Permanent            |
+| 10/21/2015 | 10/23/2015 | 10/22/2015 | Fresh & Easy, LLC Distribution Center | Riverside     | 163 | Closure Permanent            |
+| 10/21/2015 | 12/20/2015 | 10/22/2015 | Wells Fargo                           | Santa Ana     | 65  | Closure Unknown at this time |
+| 10/22/2015 | 12/21/2015 | 10/22/2015 | Bridgepoint Education, Inc.           | San Diego     | 4   | Layoff Permanent             |
+| 10/23/2015 | 12/26/2015 | 10/26/2015 | The Declan Suites                     | San Diego     | 35  | Layoff Unknown at this time  |
+| 10/21/2015 | 10/21/2015 | 10/27/2015 | Aqua Lung America, Inc.               | Calexico      | 29  | Closure Permanent            |
+| 10/21/2015 | 12/22/2015 | 10/27/2015 | Napa Valley Grille                    | Los Angeles   | 86  | Closure Temporary            |
+| 10/27/2015 | 12/28/2015 | 10/27/2015 | ISOLA USA Corp.                       | Elk Grove     | 72  | Closure Permanent            |
+| 10/27/2015 | 12/31/2015 | 10/27/2015 | Arena Pharmaceuticals, Inc.           | San Diego     | 79  | Layoff Permanent             |
+| 06/26/2015 | 09/12/2015 | 10/28/2015 | Raley's                               | Sacramento    | 60  | Closure Permanent            |
+| 10/22/2015 | 10/22/2015 | 10/28/2015 | Haas Automation, Inc.                 | Oxnard        | 6   | Layoff Permanent             |
+| 10/22/2015 | 12/27/2015 | 10/28/2015 | Raley's                               | Stockton      | 54  | Closure Permanent            |
+| 10/27/2015 | 01/04/2016 | 10/28/2015 | CoreLogic                             | Redwood City  | 21  | Closure Permanent            |
+| 10/27/2015 | 12/28/2015 | 10/28/2015 | Brice Manufacturing Company, Inc.     | Pacoima       | 33  | Layoff Permanent             |
+| 10/29/2015 | 03/31/2016 | 10/29/2015 | Vishay Siliconix                      | Santa Clara   | 292 | Layoff Permanent             |
+| 10/23/2015 | 10/26/2015 | 10/30/2015 | LG NanoH2O                            | El Segundo    | 48  | Layoff Permanent             |
+| 10/23/2015 | 10/26/2015 | 10/30/2015 | LG NanoH2O                            | Hawthorne     | 35  | Layoff Permanent             |
+| 10/26/2015 | 10/20/2015 | 10/30/2015 | BAE SYSTEMS                           | San Francisco | 163 | Layoff Temporary             |
+| 10/26/2015 | 10/20/2015 | 10/30/2015 | BAE SYSTEMS                           | San Francisco | 2   | Layoff Unknown at this time  |
+| 10/29/2015 | 12/31/2015 | 10/30/2015 | Boston Scientific Corporation         | San Jose      | 75  | Layoff Permanent             |
+| 10/30/2015 | 12/31/2015 | 10/30/2015 | Safeway, Inc.                         | Pleasanton    | 23  | Layoff Unknown at this time  |
+| 10/30/2015 | 12/31/2015 | 11/02/2015 | Verizon                               | Irvine        | 171 | Layoff Permanent             |
+| 11/01/2015 | 12/31/2015 | 11/02/2015 | CEVA Logistics                        | Stockton      | 56  | Layoff Permanent             |
+| 11/02/2015 | 01/03/2016 | 11/02/2015 | Greystone Manor                       | Los Angeles   | 61  | Closure Temporary            |
+| 10/30/2015 | 01/03/2016 | 11/04/2015 | Grill Concepts                        | Studio City   | 49  | Closure Temporary            |
+| 10/30/2015 | 11/03/2015 | 11/04/2015 | Cisco Systems, Inc.                   | San Jose      | 126 | Layoff Permanent             |
+| 10/29/2015 | 01/03/2016 | 11/05/2015 | Scott's Restaurants, LLC              | Costa Mesa    | 106 | Closure Permanent            |
+
+| 10/30/2015 | 01/01/2016 | 11/05/2015 | Boeing Company                           | Huntington Beach | 35  | Layoff Unknown at this time  |
+| ---------- | ---------- | ---------- | ---------------------------------------- | ---------------- | --- | ---------------------------- |
+| 10/30/2015 | 01/01/2016 | 11/05/2015 | Boeing Company                           | Long Beach       | 13  | Layoff Unknown at this time  |
+| 10/30/2015 | 01/01/2016 | 11/05/2015 | Boeing Company                           | El Segundo       | 17  | Layoff Unknown at this time  |
+| 11/04/2015 | 01/07/2016 | 11/05/2015 | JC Entertainment Lighting Services, Inc. | Sun Valley       | 169 | Layoff Permanent             |
+| 11/06/2015 | 01/06/2016 | 11/06/2015 | Microsemi                                | Garden Grove     | 57  | Layoff Permanent             |
+| 10/30/2015 | 12/31/2015 | 11/09/2015 | Boeing Company                           | Long Beach       | 1   | Layoff Unknown at this time  |
+| 11/04/2015 | 11/24/2015 | 11/09/2015 | Penske Logistics                         | South Gate       | 6   | Closure Permanent            |
+| 11/04/2015 | 11/24/2015 | 11/09/2015 | Penske Logistics                         | South Gate       | 54  | Layoff Permanent             |
+| 11/05/2015 | 12/10/2015 | 11/09/2015 | Golden State Drilling, Inc.              | Bakersfield      | 104 | Layoff Permanent             |
+| 11/07/2015 | 11/01/2015 | 11/09/2015 | GMRI, Inc. d/b/a Yard House              | San Diego        | 110 | Closure Permanent            |
+| 11/09/2015 | 01/08/2016 | 11/10/2015 | Hyundai Capital America                  | Irvine           | 25  | Layoff Permanent             |
+| 11/09/2015 | 01/08/2016 | 11/10/2015 | Hyundai Capital America                  | Newport Beach    | 16  | Layoff Permanent             |
+| 11/10/2015 | 01/11/2016 | 11/12/2015 | SWAY Management LLC                      | Oakland          | 102 | Layoff Permanent             |
+| 11/12/2015 | 01/06/2016 | 11/12/2015 | Forever 21 Retail, Inc.                  | San Luis Obispo  | 72  | Closure Permanent            |
+| 11/09/2015 | 01/05/2016 | 11/16/2015 | AT&T                                     | Commerce         | 99  | Layoff Permanent             |
+| 11/11/2015 | 01/18/2015 | 11/17/2015 | Exel Inc.                                | Ontario          | 92  | Closure Permanent            |
+| 11/16/2015 | 01/16/2016 | 11/17/2015 | Macy's Century City Store                | Los Angeles      | 117 | Closure Permanent            |
+| 11/18/2015 | 01/17/2016 | 11/18/2015 | Wells Fargo                              | San Bernardino   | 122 | Closure Unknown at this time |
+| 11/19/2015 | 09/30/2016 | 11/19/2015 | Plexus Corp.                             | Fremont          | 204 | Closure Permanent            |
+| 11/13/2015 | 01/18/2016 | 11/20/2015 | AT&T                                     | Oakland          | 92  | Layoff Permanent             |
+| 11/12/2015 | 01/15/2016 | 11/23/2015 | Kim Lighting                             | City of Industry | 160 | Closure Unknown at this time |
+| 11/18/2015 | 12/31/2015 | 11/23/2015 | Rdio, Inc.                               | San Francisco    | 123 | Closure Permanent            |
+| 11/20/2015 | 01/20/2016 | 11/23/2015 | Construction Specialty Service, Inc. dba | Bakersfield      | 61  | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/23/2015 | Complete Genomics, Inc.                  | Mountain View    | 145 | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/23/2015 | Complete Genomics, Inc.                  | Sunnyvale        | 13  | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/23/2015 | Complete Genomics, Inc.                  | San Jose         | 15  | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/23/2015 | Complete Genomics, Inc.                  | San Francisco    | 6   | Layoff Unknown at this time  |
+| 11/23/2015 | 01/22/2016 | 11/23/2015 | Safeway Inc.                             | Pleasanton       | 7   | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/25/2015 | Boeing Company                           | Huntington Beach | 28  | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/25/2015 | Boeing Company                           | Long Beach       | 10  | Layoff Unknown at this time  |
+| 11/20/2015 | 01/22/2016 | 11/25/2015 | Boeing Company                           | El Segundo       | 28  | Layoff Unknown at this time  |
+| 11/24/2015 | 01/31/2016 | 11/30/2015 | Runaway Two Five Corporation             | Los Angeles      | 73  | Closure Temporary            |
+| 11/30/2015 | 02/01/2016 | 11/30/2015 | Ceradyne, Inc.                           | Costa Mesa       | 65  | Closure Permanent            |
+| 11/30/2015 | 02/29/2016 | 11/30/2015 | Bay Valley Foods                         | City of Industry | 62  | Closure Permanent            |
+| 11/30/2015 | 02/29/2016 | 11/30/2015 | YP Advertising & Publishing LLC          | Pleasanton       | 68  | Layoff Permanent             |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Tupman           | 55  | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Taft             | 9   | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Maricopa         | 2   | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Shafter          | 14  | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Lost Hills       | 8   | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Lost Hills       | 56  | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | Coalinga         | 84  | Closure Permanent            |
+| 11/25/2015 | 12/07/2015 | 12/01/2015 | Brinderson, L.P.                         | San Ardo         | 101 | Closure Permanent            |
+
+| 11/30/2015 | 12/04/2015 | 12/02/2015 | Symantec Corporation                  | Mountain View  | 44  | Layoff Permanent            |
+| ---------- | ---------- | ---------- | ------------------------------------- | -------------- | --- | --------------------------- |
+| 12/02/2015 | 01/31/2016 | 12/02/2015 | United Technologies Corporation       | San Diego      | 31  | Closure Permanent           |
+| 12/02/2015 | 02/01/2016 | 12/02/2015 | CommScope                             | San Jose       | 90  | Closure Permanent           |
+| 11/25/2015 | 01/24/2016 | 12/04/2015 | P.F. Chang's China Bistro, Inc.       | Los Angeles    | 86  | Closure Permanent           |
+| 12/03/2015 | 02/05/2016 | 12/04/2015 | Schneider National Carriers, Inc.     | Fontana        | 65  | Closure Permanent           |
+| 12/03/2015 | 02/05/2016 | 12/04/2015 | Schneider National Carriers, Inc.     | South El Monte | 10  | Layoff Unknown at this time |
+| 12/04/2015 | 02/02/2016 | 12/04/2015 | Volcano Corporation                   | Rancho Cordova | 60  | Layoff Permanent            |
+| 11/30/2015 | 11/30/2015 | 12/07/2015 | Santa Fe Distributing, LLC            | Elk Grove      | 21  | Closure Permanent           |
+| 11/30/2015 | 11/30/2015 | 12/07/2015 | Santa Fe Distributing, LLC            | Hayward        | 21  | Closure Permanent           |
+| 11/30/2015 | 11/30/2015 | 12/07/2015 | Santa Fe Distributing, LLC            | Walnut         | 21  | Closure Permanent           |
+| 12/01/2015 | 02/01/2016 | 12/07/2015 | Cedars-Sinai Medical Center           | Los Angeles    | 57  | Layoff Permanent            |
+| 12/02/2015 | 02/01/2016 | 12/07/2015 | ITT Corporation                       | Perris         | 18  | Closure Permanent           |
+| 12/02/2015 | 02/02/2016 | 12/07/2015 | C&J Well Services, Inc.               | Bakersfield    | 161 | Layoff Permanent            |
+| 12/03/2015 | 02/03/2016 | 12/07/2015 | KVS Transportation, Inc.              | Bakersfield    | 111 | Layoff Permanent            |
+| 12/04/2015 | 02/05/2016 | 12/07/2015 | The Wet Seal, LLC                     | Foothill Ranch | 20  | Layoff Permanent            |
+| 12/07/2015 | 02/08/2016 | 12/07/2015 | Marvell Semiconductor, Inc.           | Santa Clara    | 13  | Layoff Permanent            |
+| 12/07/2015 | 02/13/2016 | 12/07/2015 | Sony Mobile Communications (USA) Inc. | San Mateo      | 80  | Layoff Permanent            |
+| 12/07/2015 | 12/07/2015 | 12/08/2015 | Abbott Vascular                       | Redwood City   | 144 | Closure Permanent           |
+| 12/04/2015 | 02/09/2016 | 12/09/2015 | El Dorado Hotel and Kitchen           | Sonoma         | 113 | Closure Temporary           |
+| 12/08/2015 | 02/08/2016 | 12/09/2015 | SunEdison, Inc.                       | San Mateo      | 14  | Layoff Permanent            |
+| 12/08/2015 | 02/08/2016 | 12/09/2015 | SunEdison, Inc.                       | Belmont        | 6   | Layoff Permanent            |
+| 11/12/2015 | 01/09/2016 | 12/10/2015 | abercrombie kids                      | Milpitas       | 41  | Closure Permanent           |
+| 11/17/2015 | 01/18/2016 | 12/10/2015 | Citrix Systems, Inc.                  | Santa Clara    | 54  | Layoff Permanent            |
+| 12/07/2015 | 12/07/2015 | 12/10/2015 | Anemostat, Inc.                       | Carson         | 89  | Layoff Permanent            |
+| 12/10/2015 | 02/05/2016 | 12/10/2015 | Alta Resources                        | Brea           | 121 | Layoff Permanent            |
+| 12/10/2015 | 02/08/2016 | 12/10/2015 | Bridgepoint Education, Inc.           | San Diego      | 5   | Layoff Permanent            |
+| 12/10/2015 | 02/08/2016 | 12/10/2015 | Bridgepoint Education, Inc.           | San Diego      | 1   | Layoff Permanent            |
+| 12/11/2015 | 01/11/2016 | 12/11/2015 | PPG Industries                        | Fresno         | 45  | Closure Temporary           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Tulare         | 29  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Ontario        | 32  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Gilroy         | 25  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Milpitas       | 18  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Camarillo      | 16  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Folsom         | 20  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Vacaville      | 21  | Closure Permanent           |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Fresno         | 22  | Layoff Permanent            |
+| 12/11/2015 | 04/01/2016 | 12/11/2015 | Suchman, LLC                          | Modesto        | 21  | Closure Permanent           |
+| 12/03/2015 | 02/19/2016 | 12/14/2015 | Morrison Healthcare                   | Chico          | 87  | Closure Permanent           |
+| 12/08/2015 | 02/06/2016 | 12/14/2015 | RSM Automotive, LLC, dba Santa        | Rancho Santa   | 77  | Layoff Permanent            |
+| 12/10/2015 | 02/08/2016 | 12/14/2015 | MCC BB Property                       | Santa Barbara  | 44  | Layoff Permanent            |
+| 12/14/2015 | 02/12/2016 | 12/14/2015 | Safeway, Inc.                         | Pleasanton     | 33  | Layoff Unknown at this time |
+| 12/08/2015 | 12/15/2015 | 12/15/2015 | Halliburton Energy Services, Inc.     | Bakersfield    | 16  | Layoff Permanent            |
+| 12/09/2015 | 02/12/2016 | 12/15/2015 | Hudsloan Enterprises, Inc.            | Los Angeles    | 265 | Closure Permanent           |
+
+| 12/11/2015 | 02/10/2016 | 12/16/2015 | Oakley, Inc.                          | Foothill Ranch    | 76   | Layoff Unknown at this time  |
+| ---------- | ---------- | ---------- | ------------------------------------- | ----------------- | ---- | ---------------------------- |
+| 12/15/2015 | 02/14/2016 | 12/16/2015 | Le Cordon Bleu North America, LLC     | Pasadena          | 126  | Closure Permanent            |
+| 12/11/2015 | 02/15/2016 | 12/17/2015 | Parker Hannifin Corporation           | Fontana           | 69   | Closure Unknown at this time |
+| 12/16/2015 | 12/14/2015 | 12/18/2015 | BAE SYSTEMS                           | San Francisco     | 2    | Layoff Temporary             |
+| 12/16/2015 | 12/14/2015 | 12/18/2015 | BAE SYSTEMS                           | San Francisco     | 61   | Layoff Temporary             |
+| 12/18/2015 | 02/25/2016 | 12/18/2015 | Gerawan Farming, Inc.                 | Kerman            | 2551 | Closure Permanent            |
+| 12/14/2015 | 02/12/2016 | 12/22/2015 | Safeway, Inc.                         | Pleasanton        | 33   | Layoff Unknown at this time  |
+| 12/17/2015 | 03/01/2016 | 12/23/2015 | Hyatt Regency Century Plaza           | Los Angeles       | 796  | Closure Permanent            |
+| 12/18/2015 | 02/19/2016 | 12/23/2015 | Boeing Company                        | Huntington Beach  | 35   | Layoff Unknown at this time  |
+| 12/18/2015 | 02/19/2016 | 12/23/2015 | Boeing Company                        | Long Beach        | 9    | Layoff Unknown at this time  |
+| 12/18/2015 | 02/19/2016 | 12/23/2015 | Boeing Company                        | El Segundo        | 35   | Layoff Unknown at this time  |
+| 12/24/2015 | 02/29/2016 | 12/24/2015 | TGI Friday's                          | Carlsbad          | 45   | Closure Permanent            |
+| 12/22/2015 | 02/21/2016 | 12/28/2015 | Brake Parts Inc.                      | Chowchilla        | 43   | Layoff Permanent             |
+| 12/22/2015 | 02/22/2016 | 12/28/2015 | AT&T                                  | San Ramon         | 102  | Layoff Permanent             |
+| 12/22/2015 | 02/26/2016 | 12/28/2015 | Balda C. Brewer, Inc.                 | Irvine            | 193  | Closure Permanent            |
+| 12/22/2015 | 02/29/2016 | 12/28/2015 | DNC Parks & Resorts at Yosemite, Inc. | Yosemite National | 1718 | Closure Permanent            |
+| 12/30/2015 | 02/29/2016 | 12/30/2015 | DuPont Displays, Inc.                 | Santa Barbara     | 41   | Closure Permanent            |
+| 12/30/2015 | 03/04/2016 | 12/30/2015 | Parker Hannifin Corporation           | Anaheim           | 197  | Closure Unknown at this time |
+| 01/04/2016 | 01/12/2016 | 01/04/2016 | Walnut Creek Pyramid Alehouse         | Walnut Creek      | 49   | Closure Unknown at this time |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | West Hollywood    | 25   | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | West Hollywood    | 5    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Los Angeles       | 28   | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Malibu            | 9    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Santa Monica      | 45   | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Newport Beach     | 9    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Brea              | 6    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | San Diego         | 8    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | San Diego         | 13   | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Santa Barbara     | 9    | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Camarillo         | 13   | Closure Permanent            |
+| 12/24/2015 | 01/04/2016 | 01/05/2016 | A-List, Inc. & H-List Inc. dba Kitson | Arcadia           | 18   | Closure Permanent            |
+| 01/04/2016 | 03/09/2016 | 01/07/2016 | Adecco Group NA                       | Palo Alto         | 108  | Closure Permanent            |
+| 01/06/2016 | 03/14/2016 | 01/07/2016 | Macy's Country Club Plaza Store       | Sacramento        | 111  | Closure Permanent            |
+| 01/06/2016 | 03/14/2016 | 01/07/2016 | Macy's Irvine Spectrum Store          | Irvine            | 112  | Closure Permanent            |
+| 01/04/2016 | 03/05/2016 | 01/11/2016 | Thomson Licensing LLC                 | Burbank           | 7    | Closure Unknown at this time |
+| 01/05/2016 | 03/07/2016 | 01/11/2016 | AT&T                                  | San Ramon         | 1    | Layoff Permanent             |
+| 01/05/2016 | 03/07/2016 | 01/11/2016 | Pacific Bell Telephone Company        | San Ramon         | 1    | Layoff Permanent             |
+| 01/11/2016 | 03/11/2016 | 01/12/2016 | Safeway Inc.                          | Pleasanton        | 7    | Layoff Unknown at this time  |
+| 01/12/2016 | 02/29/2016 | 01/12/2016 | Molina Hospital Management, Inc.      | Long Beach        | 385  | Layoff Permanent             |
+| 01/08/2016 | 03/31/2016 | 01/13/2016 | Zodiac Pool Systems, Inc.             | Vista             | 52   | Closure Permanent            |
+| 01/13/2016 | 01/15/2016 | 01/13/2016 | GoPro, Inc.                           | San Mateo         | 77   | Layoff Permanent             |
+| 01/14/2016 | 03/15/2016 | 01/14/2016 | Qualcomm Incorporated                 | San Diego         | 32   | Layoff Unknown at this time  |
+| 01/14/2016 | 03/18/2016 | 01/14/2016 | ConAgra Foods, Inc.                   | Helm              | 102  | Closure Permanent            |
+
+| 12/31/2015 | 04/29/2015 | 01/14/2016 | El Dorado Berry Farms, LLC (Adam       | Santa Maria      | 218 | Layoff Permanent             |
+| ---------- | ---------- | ---------- | -------------------------------------- | ---------------- | --- | ---------------------------- |
+| 12/31/2015 | 04/29/2015 | 01/14/2016 | El Dorado Berry Farms, LLC (Bognuda    | Santa Maria      | 180 | Layoff Permanent             |
+| 12/31/2015 | 04/29/2015 | 01/14/2016 | El Dorado Berry Farms, LLC (Coyote     | Santa Maria      | 123 | Layoff Permanent             |
+| 12/31/2015 | 04/29/2015 | 01/14/2016 | El Dorado Berry Farms, LLC (Monighetti | Santa Maria      | 30  | Layoff Permanent             |
+| 12/31/2015 | 04/29/2015 | 01/14/2016 | El Dorado Berry Farms, LLC (Punta de   | Santa Maria      | 103 | Layoff Permanent             |
+| 12/31/2015 | 06/24/2015 | 01/14/2016 | Superior Farming, LLC                  | Santa Maria      | 225 | Layoff Permanent             |
+| 01/15/2016 | 03/01/2016 | 01/15/2016 | HD Supply Management, Inc.             | San Diego        | 97  | Layoff Permanent             |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Oakland          | 397 | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | San Bernardino   | 89  | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Hawaiian Gardens | 77  | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Bell Gardens     | 85  | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Long Beach       | 295 | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Altadena         | 79  | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | San Jose         | 210 | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Los Angeles      | 324 | Closure Permanent            |
+| 01/15/2016 | 04/15/2016 | 01/15/2016 | Walmart                                | Los Angeles      | 96  | Closure Permanent            |
+| 12/31/2015 | 07/10/2015 | 01/15/2016 | MAC Berry Farms, LLC                   | Camarillo        | 90  | Layoff Permanent             |
+| 01/12/2016 | 04/10/2016 | 01/19/2016 | Sears, Roebuck and Co.                 | San Mateo        | 110 | Closure Permanent            |
+| 01/13/2016 | 04/30/2016 | 01/19/2016 | Al Jazeera America, LLC                | San Francisco    | 25  | Closure Permanent            |
+| 01/13/2016 | 04/30/2016 | 01/19/2016 | Al Jazeera America, LLC                | Culver City      | 19  | Closure Permanent            |
+| 01/13/2016 | 04/30/2016 | 01/19/2016 | Al Jazeera America, LLC                | Los Angeles      | 6   | Closure Permanent            |
+| 01/15/2016 | 03/15/2016 | 01/19/2016 | Brice Manufacturing Company, Inc.      | Pacoima          | 1   | Layoff Permanent             |
+| 01/19/2016 | 03/21/2016 | 01/19/2016 | Georgia-Pacific Corrugated LLC         | Buena Park       | 148 | Closure Permanent            |
+| 01/06/2016 | 03/07/2016 | 01/20/2016 | Citrix Systems, Inc.                   | Santa Clara      | 65  | Layoff Permanent             |
+| 01/19/2016 | 03/19/2016 | 01/20/2016 | Outer Harbor Terminal LLC              | Oakland          | 59  | Closure Permanent            |
+| 01/19/2016 | 03/20/2016 | 01/20/2016 | Destination Geary Street Management    | San Francisco    | 58  | Layoff Permanent             |
+| 01/20/2016 | 03/20/2016 | 01/20/2016 | Microsoft Corporation                  | San Diego        | 2   | Closure Permanent            |
+| 01/19/2016 | 01/20/2016 | 01/21/2016 | Cisco Systems, Inc.                    | San Jose         | 123 | Layoff Permanent             |
+| 01/18/2016 | 03/18/2016 | 01/22/2016 | Coastal Green Vegetable Company, LLC   | Oxnard           | 88  | Closure Permanent            |
+| 01/19/2016 | 03/21/2016 | 01/22/2016 | Pathology, Inc.                        | Torrance         | 388 | Layoff Permanent             |
+| 01/20/2016 | 12/23/2015 | 01/22/2016 | Highland Metals Inc. and EZFuture Inc. | San Jose         | 17  | Closure Permanent            |
+| 01/21/2016 | 01/21/2016 | 01/22/2016 | Centrally Grown, Inc.                  | Cambria          | 16  | Closure Unknown at this time |
+| 01/19/2016 | 03/19/2016 | 01/25/2016 | F&E Aircraft Maintenance DBA FEAM      | Los Angeles      | 25  | Layoff Permanent             |
+| 01/20/2016 | 01/20/2016 | 01/25/2016 | Sage North America                     | Irvine           | 67  | Layoff Permanent             |
+| 01/25/2016 | 03/25/2016 | 01/25/2016 | Allianz Global Risks US Insurance      | Petaluma         | 38  | Layoff Permanent             |
+| 01/25/2016 | 03/31/2016 | 01/25/2016 | EXP Pharmaceutical Services Corp.      | Fremont          | 111 | Closure Permanent            |
+| 01/12/2016 | 03/13/2016 | 01/26/2016 | Kmart                                  | Anaheim          | 107 | Closure Permanent            |
+| 01/12/2016 | 03/13/2016 | 01/26/2016 | Kmart                                  | Chula Vista      | 103 | Closure Permanent            |
+| 01/12/2016 | 04/03/2016 | 01/26/2016 | Kmart                                  | Citrus Heights   | 86  | Closure Permanent            |
+| 01/22/2016 | 03/25/2016 | 01/26/2016 | Boeing Company                         | Huntington Beach | 15  | Layoff Unknown at this time  |
+| 01/22/2016 | 03/25/2016 | 01/26/2016 | Boeing Company                         | Long Beach       | 11  | Layoff Unknown at this time  |
+| 01/22/2016 | 03/25/2016 | 01/26/2016 | Boeing Company                         | El Segundo       | 6   | Layoff Unknown at this time  |
+| 01/25/2016 | 03/25/2016 | 01/26/2016 | Sierra Pacific Industries              | Arcata           | 125 | Closure Permanent            |
+
+| 01/26/2016 | 01/26/2016 | 01/26/2016 | Pearson Education               | San Francisco    | 34  | Layoff Unknown at this time |
+| ---------- | ---------- | ---------- | ------------------------------- | ---------------- | --- | --------------------------- |
+| 01/26/2016 | 03/28/2016 | 01/26/2016 | Ditech Financial LLC.           | Costa Mesa       | 87  | Closure Permanent           |
+| 01/26/2016 | 03/28/2016 | 01/26/2016 | SPX FLOW, Inc.                  | Modesto          | 8   | Closure Permanent           |
+| 01/26/2016 | 03/28/2016 | 01/26/2016 | VMware, Inc.                    | Palo Alto        | 170 | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/27/2016 | VSE Corporation                 | Jolon            | 70  | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/27/2016 | VSE Corporation                 | Barstow          | 13  | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/27/2016 | VSE Corporation                 | Barstow          | 27  | Layoff Permanent            |
+| 01/26/2016 | 03/28/2016 | 01/28/2016 | Eaton's Cooper Lighting         | Richmond         | 47  | Closure Permanent           |
+| 01/27/2016 | 03/29/2016 | 01/28/2016 | VSE Corporation                 | Mountain View    | 2   | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/28/2016 | VSE Corporation                 | Riverside        | 1   | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/28/2016 | VSE Corporation                 | Los Alamitos     | 1   | Layoff Permanent            |
+| 01/27/2016 | 03/29/2016 | 01/28/2016 | VSE Corporation                 | Van Nuys         | 1   | Layoff Permanent            |
+| 01/26/2016 | 04/01/2016 | 01/29/2016 | Rockwell Collins, Inc.          | Poway            | 2   | Layoff Unknown at this time |
+| 01/29/2016 | 03/29/2016 | 01/29/2016 | Hub City Terminals, Inc.        | Brea             | 12  | Closure Permanent           |
+| 01/29/2016 | 03/31/2016 | 01/29/2016 | Hub Group Trucking, Inc.        | Ontario          | 131 | Closure Permanent           |
+| 01/29/2016 | 03/31/2016 | 01/29/2016 | Toshiba America Electronic      | Livermore        | 50  | Closure Permanent           |
+| 01/29/2016 | 03/31/2016 | 01/29/2016 | Urban Fulfillment Services, LLC | Westlake Village | 192 | Closure Permanent           |
+| 01/25/2016 | 03/31/2016 | 02/01/2016 | Cardinal Health                 | Elk Grove        | 58  | Layoff Permanent            |
+| 01/25/2016 | 03/31/2016 | 02/01/2016 | Cardinal Health                 | Valencia         | 15  | Layoff Permanent            |
+| 01/28/2016 | 04/01/2016 | 02/01/2016 | Westin St. Francis              | San Francisco    | 52  | Closure Permanent           |
+| 02/01/2016 | 04/04/2016 | 02/01/2016 | Practice Fusion, Inc.           | San Francisco    | 74  | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Sacramento       | 3   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | El Segundo       | 9   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Ontario          | 2   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Walnut Creek     | 1   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Lodi             | 99  | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | San Francisco    | 78  | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Rancho Cordova   | 55  | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Woodland Hills   | 60  | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Costa Mesa       | 2   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | San Jose         | 1   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | El Dorado Hills  | 137 | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | San Diego        | 3   | Layoff Permanent            |
+| 01/28/2016 | 03/28/2016 | 02/02/2016 | Blue Shield of California       | Redding          | 10  | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago              | Irvine           | 687 | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago              | Irvine           | 2   | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago              | San Jose         | 33  | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago freedom      | Santa Clara      | 63  | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago lafayette    | Santa Clara      | 1   | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago mission      | Santa Clara      | 57  | Layoff Permanent            |
+| 01/29/2016 | 03/31/2016 | 02/02/2016 | Broadcom and Avago sunnyvale    | Sunnyvale        | 26  | Layoff Permanent            |
+| 02/01/2016 | 04/01/2016 | 02/02/2016 | Moog Inc.                       | Milpitas         | 22  | Layoff Permanent            |
+| 01/29/2016 | 04/01/2016 | 02/03/2016 | Boeing Company                  | Huntington Beach | 15  | Layoff Unknown at this time |
+
+| 01/29/2016 | 04/01/2016 | 02/03/2016 | Boeing Company                           | El Segundo     | 25  | Layoff Unknown at this time |
+| ---------- | ---------- | ---------- | ---------------------------------------- | -------------- | --- | --------------------------- |
+| 02/01/2016 | 03/31/2016 | 02/03/2016 | United Technologies Corporation          | San Diego      | 103 | Closure Permanent           |
+| 02/01/2016 | 04/03/2016 | 02/03/2016 | Bon Appetit Management Company           | San Francisco  | 79  | Closure Permanent           |
+| 02/02/2016 | 04/01/2016 | 02/03/2016 | Forever 21 Retail, Inc.                  | Hanford        | 51  | Closure Permanent           |
+| 02/02/2016 | 04/01/2016 | 02/03/2016 | Forever 21 Retail, Inc.                  | Yuba City      | 56  | Closure Permanent           |
+| 02/02/2016 | 04/05/2016 | 02/03/2016 | Freeport-McMoRan Oil & Gas LLC           | Orcutt         | 64  | Layoff Permanent            |
+| 02/04/2016 | 02/19/2016 | 02/04/2016 | VF Contemporary Brands, Inc.             | Vernon         | 73  | Closure Permanent           |
+| 02/02/2016 | 04/10/2016 | 02/05/2016 | Autodesk, Inc.                           | San Francisco  | 60  | Layoff Permanent            |
+| 02/02/2016 | 04/10/2016 | 02/05/2016 | Autodesk, Inc.                           | San Francisco  | 8   | Layoff Permanent            |
+| 02/02/2016 | 04/10/2016 | 02/05/2016 | Autodesk, Inc.                           | San Francisco  | 3   | Layoff Permanent            |
+| 02/02/2016 | 04/10/2016 | 02/05/2016 | Autodesk, Inc.                           | San Rafael     | 48  | Layoff Permanent            |
+| 02/04/2016 | 04/04/2016 | 02/08/2016 | Visiting Nurse Association of the Inland | Victorville    | 178 | Closure Permanent           |
+| 02/08/2016 | 04/08/2016 | 02/08/2016 | Albertsons Companies                     | Pleasanton     | 24  | Layoff Unknown at this time |
+| 01/28/2016 | 01/28/2016 | 02/09/2016 | Space Systems/Loral, LLC                 | Palo Alto      | 122 | Layoff Permanent            |
+| 02/03/2016 | 02/04/2016 | 02/09/2016 | B&H Education Holdings, LLC & B&H        | Whittier       | 73  | Closure Permanent           |
+| 02/03/2016 | 04/09/2016 | 02/09/2016 | JCPenney                                 | Cupertino      | 147 | Closure Permanent           |
+| 02/08/2016 | 04/08/2016 | 02/09/2016 | Inland Early Steps Services, Inc.        | Corona         | 79  | Closure Permanent           |
+| 02/05/2016 | 04/01/2016 | 02/10/2016 | UTi                                      | Long Beach     | 64  | Closure Permanent           |
+| 02/10/2016 | 04/11/2016 | 02/10/2016 | Yahoo! Inc.                              | Sunnyvale      | 107 | Layoff Permanent            |
+| 02/08/2016 | 04/08/2016 | 02/12/2016 | Southern California Edison Company       | Rosemead       | 48  | Layoff Permanent            |
+| 02/12/2016 | 04/15/2016 | 02/12/2016 | Kraft Heinz Foods Company                | San Leandro    | 117 | Closure Permanent           |
+| 02/12/2016 | 06/15/2016 | 02/12/2016 | Pinecrest Schools                        | Woodland Hills | 71  | Closure Permanent           |
+| 02/12/2016 | 06/15/2016 | 02/12/2016 | Pinecrest Schools                        | Canyon Country | 24  | Closure Permanent           |
+| 02/12/2016 | 06/15/2016 | 02/12/2016 | Pinecrest Schools                        | Moorpark       | 37  | Closure Permanent           |
+| 02/12/2016 | 06/15/2016 | 02/12/2016 | Pinecrest Schools                        | Thousand Oaks  | 37  | Closure Permanent           |
+| 02/12/2016 | 06/15/2016 | 02/12/2016 | Pinecrest Schools                        | Simi Valley    | 44  | Closure Permanent           |
+| 02/11/2016 | 01/22/2016 | 02/16/2016 | HP Inc.                                  | Palo Alto      | 74  | Layoff Permanent            |
+| 02/11/2016 | 02/10/2016 | 02/16/2016 | Symantec Corporation                     | Mountain View  | 6   | Layoff Permanent            |
+| 02/11/2016 | 04/17/2016 | 02/16/2016 | The Ritz-Carlton, Lake Tahoe             | Truckee        | 253 | Closure Temporary           |
+| 02/12/2016 | 02/18/2016 | 02/16/2016 | Toshiba America Information Systems,     | Irvine         | 7   | Layoff Permanent            |
+| 02/15/2016 | 04/18/2016 | 02/16/2016 | SK Textile, Inc.                         | Vernon         | 51  | Closure Permanent           |
+| 02/16/2016 | 04/18/2016 | 02/16/2016 | Odwalla Inc.                             | Dinuba         | 164 | Closure Permanent           |
+| 02/12/2016 | 04/12/2016 | 02/17/2016 | TangoMe, Inc.                            | Mountain View  | 53  | Layoff Permanent            |
+| 02/17/2016 | 04/18/2016 | 02/17/2016 | Yahoo! Inc.                              | Sunnyvale      | 127 | Layoff Permanent            |
+| 02/17/2016 | 04/18/2016 | 02/17/2016 | Yahoo! Inc.                              | San Francisco  | 45  | Layoff Permanent            |
+| 02/17/2016 | 04/18/2016 | 02/17/2016 | Yahoo! Inc.                              | Los Angeles    | 60  | Layoff Permanent            |
+| 02/17/2016 | 04/18/2016 | 02/17/2016 | Yahoo! Inc.                              | Burbank        | 90  | Closure Permanent           |
+| 02/15/2016 | 02/26/2016 | 02/18/2016 | Valley Fine Foods                        | Benicia        | 94  | Closure Permanent           |
+| 02/16/2016 | 04/17/2016 | 02/18/2016 | California Resources Corporation         | Bakersfield    | 74  | Layoff Permanent            |
+| 02/17/2016 | 04/18/2016 | 02/18/2016 | Pacific Harvest, Inc.                    | Guadalupe      | 75  | Layoff Permanent            |
+| 02/12/2016 | 02/09/2016 | 02/22/2016 | BAE SYSTEMS                              | San Francisco  | 2   | Layoff Temporary            |
+| 02/12/2016 | 02/09/2016 | 02/22/2016 | BAE SYSTEMS                              | San Francisco  | 228 | Layoff Temporary            |
+| 02/19/2016 | 04/19/2016 | 02/22/2016 | Brake Parts Inc.                         | Chowchilla     | 111 | Layoff Permanent            |
+
+| 02/19/2016 | 04/19/2016 | 02/22/2016 | Vintage Estates                     | Yountville        | 326 | Layoff Permanent             |
+| ---------- | ---------- | ---------- | ----------------------------------- | ----------------- | --- | ---------------------------- |
+| 02/22/2016 | 04/27/2016 | 02/22/2016 | BCBG Max Azria Group, LLC           | Vernon            | 71  | Layoff Permanent             |
+| 02/18/2016 | 07/31/2016 | 02/23/2016 | Mallinckrodt Pharmaceuticals        | Hayward           | 43  | Closure Permanent            |
+| 02/22/2016 | 03/31/2016 | 02/23/2016 | Kabam LA                            | Los Angeles       | 1   | Layoff Permanent             |
+| 02/22/2016 | 03/31/2016 | 02/23/2016 | Kabam, Inc.                         | San Francisco     | 75  | Layoff Permanent             |
+| 02/23/2016 | 04/25/2016 | 02/23/2016 | TGI Friday's                        | Laguna Niguel     | 51  | Closure Permanent            |
+| 02/18/2016 | 03/31/2016 | 02/24/2016 | Freedom Communications, Inc.        | Santa Ana         | 969 | Layoff Unknown at this time  |
+| 02/18/2016 | 04/18/2016 | 02/24/2016 | Maslow Media Group, Inc.            | San Francisco     | 17  | Layoff Permanent             |
+| 02/18/2016 | 04/18/2016 | 02/24/2016 | Maslow Media Group, Inc.            | Culver City       | 2   | Layoff Permanent             |
+| 02/18/2016 | 04/18/2016 | 02/24/2016 | Maslow Media Group, Inc.            | Los Angeles       | 19  | Layoff Permanent             |
+| 02/19/2016 | 04/22/2016 | 02/24/2016 | Boeing Company                      | Huntington Beach  | 44  | Layoff Unknown at this time  |
+| 02/19/2016 | 04/22/2016 | 02/24/2016 | Boeing Company                      | Long Beach        | 3   | Layoff Unknown at this time  |
+| 02/19/2016 | 04/22/2016 | 02/24/2016 | Boeing Company                      | El Segundo        | 45  | Layoff Unknown at this time  |
+| 01/25/2016 | 04/01/2016 | 02/25/2016 | Imagine Communications Corp.        | Sunnyvale         | 50  | Closure Permanent            |
+| 02/23/2016 | 04/25/2016 | 02/25/2016 | Sutter Central Valley Hospitals dba | Modesto           | 83  | Layoff Unknown at this time  |
+| 02/23/2016 | 04/25/2016 | 02/25/2016 | Sutter Central Valley Hospitals dba | Modesto           | 7   | Layoff Unknown at this time  |
+| 02/23/2016 | 04/25/2016 | 02/25/2016 | Sutter Central Valley Hospitals dba | Modesto           | 1   | Layoff Unknown at this time  |
+| 02/23/2016 | 04/25/2016 | 02/25/2016 | Sutter Central Valley Hospitals dba | Modesto           | 1   | Layoff Unknown at this time  |
+| 02/23/2016 | 04/25/2016 | 02/25/2016 | Sutter Central Valley Hospitals dba | Modesto           | 4   | Layoff Unknown at this time  |
+| 02/26/2016 | 04/25/2016 | 02/26/2016 | Xerox Business Services, LLC        | Bakersfield       | 15  | Layoff Permanent             |
+| 02/24/2016 | 05/04/2016 | 02/29/2016 | Pacific Bell Telephone Company      | Tustin            | 121 | Layoff Permanent             |
+| 02/26/2016 | 02/29/2016 | 02/29/2016 | YourPeople, Inc. d/b/a Zenefits FTW | San Francisco     | 83  | Layoff Permanent             |
+| 02/26/2016 | 04/29/2016 | 02/29/2016 | Direct Energy                       | Corona            | 47  | Closure Unknown at this time |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | Los Angeles       | 42  | Layoff Permanent             |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | Woodland Hills    | 1   | Layoff Permanent             |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | Sunnyvale         | 3   | Layoff Permanent             |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | San Diego         | 1   | Layoff Permanent             |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | Coto De Caza      | 1   | Layoff Permanent             |
+| 02/22/2016 | 04/29/2016 | 03/01/2016 | Investor's Business Daily, Inc.     | Valencia          | 1   | Layoff Permanent             |
+| 02/29/2016 | 03/01/2016 | 03/01/2016 | TiVo Inc.                           | San Jose          | 52  | Layoff Permanent             |
+| 03/01/2016 | 03/01/2016 | 03/01/2016 | SurveyMonkey Inc.                   | Palo Alto         | 57  | Layoff Permanent             |
+| 03/01/2016 | 04/30/2016 | 03/01/2016 | National Oilwell Varco              | Orange            | 232 | Layoff Permanent             |
+| 03/01/2016 | 05/01/2016 | 03/02/2016 | Baxalta U.S. Inc.                   | Thousand Oaks     | 100 | Layoff Permanent             |
+| 03/01/2016 | 05/01/2016 | 03/02/2016 | Baxalta U.S. Inc.                   | Los Angeles       | 132 | Layoff Permanent             |
+| 03/01/2016 | 05/01/2016 | 03/02/2016 | Baxalta U.S. Inc.                   | Van Nuys          | 7   | Layoff Permanent             |
+| 03/01/2016 | 04/30/2016 | 03/03/2016 | NetApp, Inc.                        | Sunnyvale         | 376 | Layoff Permanent             |
+| 03/04/2016 | 05/03/2016 | 03/04/2016 | Southern Home Care Services, Inc.   | San Leandro       | 123 | Closure Permanent            |
+| 03/07/2016 | 05/06/2016 | 03/07/2016 | Barnes & Noble College Booksellers, | LLC Mountain View | 40  | Closure Permanent            |
+| 02/17/2016 | 04/15/2016 | 03/08/2016 | Circor Inc.                         | Corona            | 64  | Closure Permanent            |
+| 02/26/2016 | 05/04/2016 | 03/08/2016 | Envoy Air                           | Palm Springs      | 52  | Closure Permanent            |
+| 03/01/2016 | 05/13/2016 | 03/08/2016 | City National Bank                  | Los Angeles       | 5   | Closure Permanent            |
+| 03/01/2016 | 05/31/2016 | 03/08/2016 | Memorial Health Services            | San Clemente      | 194 | Closure Permanent            |
+| 03/08/2016 | 03/11/2016 | 03/09/2016 | Lyra Sound Inc.                     | Cypress           | 4   | Closure Temporary            |
+
+| 03/08/2016 | 11/11/2016 | 03/10/2016 | Corning Incorporated           | Union City       | 193 | Closure Permanent           |
+| ---------- | ---------- | ---------- | ------------------------------ | ---------------- | --- | --------------------------- |
+| 03/01/2016 | 05/06/2016 | 03/11/2016 | Pacific Bell Telephone Company | Tustin           | 3   | Layoff Permanent            |
+| 03/10/2016 | 05/13/2016 | 03/11/2016 | Carbine, LLC                   | Aliso Viejo      | 18  | Layoff Unknown at this time |
+| 03/10/2016 | 03/11/2016 | 03/14/2016 | NC Interactive, LLC            | Aliso Viejo      | 11  | Layoff Permanent            |
+| 03/12/2016 | 04/10/2016 | 03/14/2016 | GMRI, Inc. dba Seasons 52      | Santa Monica     | 70  | Closure Permanent           |
+| 03/15/2016 | 05/15/5016 | 03/15/2016 | Georgia-Pacific Gypsum LLC     | San Leandro      | 65  | Closure Permanent           |
+| 03/14/2016 | 05/27/2016 | 03/17/2016 | Yamashiro, Inc.                | Los Angeles      | 88  | Closure Permanent           |
+| 02/29/2016 | 01/01/2016 | 03/18/2016 | Alma Farms, LLC                | Camarillo        | 73  | Closure Permanent           |
+| 03/14/2016 | 03/31/2016 | 03/18/2016 | McKesson Corporation           | San Francisco    | 158 | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | San Francisco    | 17  | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | San Francisco    | 30  | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | San Francisco    | 22  | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | San Francisco    | 5   | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | Richmond         | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/17/2016 | 03/21/2016 | Williams-Sonoma, Inc.          | Brisbane         | 3   | Layoff Permanent            |
+| 03/18/2016 | 05/18/2016 | 03/21/2016 | Collection Technology, Inc.    | Monterey Park    | 4   | Closure Permanent           |
+| 03/18/2016 | 05/18/2016 | 03/21/2016 | Collection Technology, Inc.    | Rancho           | 51  | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 35  | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 16  | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | La Mesa          | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | San Diego        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | Encinitas        | 1   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | Encinitas        | 2   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | La Jolla         | 4   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | La Jolla         | 3   | Layoff Permanent            |
+| 03/18/2016 | 05/20/2016 | 03/21/2016 | Scripps Health                 | Chula Vista      | 1   | Layoff Permanent            |
+| 03/03/2016 | 06/30/2016 | 03/22/2016 | TransitAmerica Services, Inc.  | Camp Pendleton   | 30  | Layoff Permanent            |
+| 03/21/2016 | 05/22/2016 | 03/22/2016 | Paris Precision, LLC           | Paso Robles      | 130 | Layoff Unknown at this time |
+| 03/22/2016 | 03/22/2016 | 03/22/2016 | ZETA Communities               | Mcclellan        | 122 | Closure Permanent           |
+| 03/15/2016 | 03/10/2016 | 03/23/2016 | Mycom North America, Inc.      | Santa Fe Springs | 138 | Closure Permanent           |
+| 03/18/2016 | 05/20/2016 | 03/23/2016 | Boeing Company                 | Huntington Beach | 23  | Layoff Unknown at this time |
+| 03/18/2016 | 05/20/2016 | 03/23/2016 | Boeing Company                 | El Segundo       | 26  | Layoff Unknown at this time |
+| 03/21/2016 | 05/27/2016 | 03/23/2016 | Rockwell Collins, Inc.         | Poway            | 2   | Layoff Unknown at this time |
+
+| Summary by Month | Notices | Employees Affected | Permanent Layoff | Temporary Layoff | Not Identified Layoff | Permanent Closure | Temporary Closure | Not Identified Closure |
+| ---------------- | ------- | ------------------ | ---------------- | ---------------- | --------------------- | ----------------- | ----------------- | ---------------------- |
+| July 2015        | 71      | 8,574              | 30               | 2                | 13                    | 25                | 1                 | 0                      |
+| August 2015      | 69      | 5,890              | 28               | 2                | 7                     | 31                | 0                 | 1                      |
+
+| September 2015 | 76  | 4,864  | 47  | 2   | 18  | 7   | 2   | 0   |
+| -------------- | --- | ------ | --- | --- | --- | --- | --- | --- |
+| October 2015   | 71  | 6,102  | 38  | 1   | 8   | 19  | 2   | 3   |
+| November 2015  | 41  | 2,940  | 13  | 0   | 13  | 10  | 3   | 2   |
+| December 2015  | 69  | 8,729  | 21  | 2   | 7   | 35  | 2   | 2   |
+| January 2016   | 85  | 6,617  | 28  | 0   | 7   | 47  | 0   | 3   |
+| February 2016  | 92  | 6,899  | 52  | 2   | 12  | 24  | 1   | 1   |
+| March 2016     | 58  | 2,839  | 38  | 0   | 5   | 14  | 1   | 0   |
+| Total          | 632 | 53,454 | 295 | 11  | 90  | 212 | 12  | 12  |
+
+\*\* Lay-offs have been cancelled by the Company.

tools/benchmark-harness/vendored/docling/md/amt_handbook_sample.md

@@ -0,0 +1,37 @@
+size, while the locking section presses against the threads of the bolt and locks the nut firmly in position. Only a wrench
+
+applied to the nut loosens it. The nut can be removed and pulleys, provided the inner race of the bearing is clamped to the supporting structure by the nut and bolt. Plates must be attached to the structure in a positive manner to eliminate rotation or misalignment when tightening the bolts or screws.
+
+The two general types of self-locking nuts currently in use are the all-metal type and the fiber lock type. For the sake of simplicity, only three typical kinds of self-locking nuts are considered in this handbook: the Boots self-locking and the stainless steel self-locking nuts, representing the all-metal types; and the elastic stop nut, representing the fiber insert type.
+
+## Boots Self-Locking Nut
+
+The Boots self-locking nut is of one piece, all-metal construction designed to hold tight despite severe vibration. Note in Figure 7-26 that it has two sections and is essentially two nuts in one: a locking nut and a load-carrying nut. The two sections are connected with a spring, which is an integral part of the nut.
+
+The spring keeps the locking and load-carrying sections such a distance apart that the two sets of threads are out of phase or spaced so that a bolt, which has been screwed through the load-carrying section, must push the locking section outward against the force of the spring to engage the threads of the locking section properly.
+
+The spring, through the medium of the locking section, exerts a constant locking force on the bolt in the same direction as a force that would tighten the nut. In this nut, the load-carrying section has the thread strength of a standard nut of comparable size, while the locking section presses against the threads of the bolt and locks the nut firmly in position. Only a wrench applied to the nut loosens it. The nut can be removed and reused without impairing its efficiency.
+
+Boots self-locking nuts are made with three different spring styles and in various shapes and sizes. The wing type that is
+
+Figure 7-26. Self-locking nuts.
+
+<!-- image -->
+
+Flexloc nut
+
+Nut case the most common ranges in size for No. 6 up to 1 / 4 inch, the Rol-top ranges from 1 / 4 inch to 1 / 6 inch, and the bellows type ranges in size from No. 8 up to 3 / 8 inch. Wing-type nuts are made of anodized aluminum alloy, cadmium-plated carbon steel, or stainless steel. The Rol-top nut is cadmium-plated steel, and the bellows type is made of aluminum alloy only.
+
+.
+
+## Stainless Steel Self-Locking Nut
+
+The stainless steel self-locking nut may be spun on and off by hand as its locking action takes places only when the nut is seated against a solid surface and tightened. The nut consists of two parts: a case with a beveled locking shoulder and key and a thread insert with a locking shoulder and slotted keyway. Until the nut is tightened, it spins on the bolt easily, because the threaded insert is the proper size for the bolt. However, when the nut is seated against a solid surface and tightened, the locking shoulder of the insert is pulled downward and wedged against the locking shoulder of the case. This action compresses the threaded insert and causes it to clench the bolt tightly. The cross-sectional view in Figure 7-27 shows how the key of the case fits into the slotted keyway of the insert so that when the case is turned, the threaded insert is turned with it. Note that the slot is wider than the key. This permits the slot to be narrowed and the insert to be compressed when the nut is tightened.
+
+## Elastic Stop Nut
+
+The elastic stop nut is a standard nut with the height increased to accommodate a fiber locking collar. This
+
+Figure 7-27. Stainless steel self-locking nut.
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/annotations-unicode-issues.md

@@ -0,0 +1 @@
+Test unicode decoding issues in annotations

tools/benchmark-harness/vendored/docling/md/code_and_formula.md

@@ -0,0 +1,29 @@
+## JavaScript Code Example
+
+Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet.
+
+Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Lorem ipsum dolor sit amet,
+
+```text
+function add(a, b) { return a + b; } console.log(add(3, 5));
+```
+
+Listing 1: Simple JavaScript Program
+
+Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet.
+
+Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Lorem ipsum dolor sit amet,
+
+## Formula
+
+Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet.
+
+Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt.
+
+<!-- formula-not-decoded -->
+
+Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet. Lorem ipsum dolor sit amet, consetetur sadipscing elitr, sed diam nonumy eirmod tempor invidunt ut labore et dolore magna aliquyam erat, sed diam voluptua. At vero eos et accusam et justo duo dolores et ea rebum. Stet clita kasd gubergren, no sea takimata sanctus est Lorem ipsum dolor sit amet.
+
+Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.
+
+Duis autem vel eum iriure dolor in hendrerit in vulputate velit esse molestie consequat, vel illum dolore eu feugiat nulla facilisis at vero eros et accumsan et iusto odio dignissim qui blandit praesent luptatum zzril delenit augue duis dolore te feugait nulla facilisi. Lorem ipsum dolor sit amet, consectetuer adipiscing elit, sed diam nonummy nibh euismod tincidunt ut laoreet dolore magna aliquam erat volutpat.

tools/benchmark-harness/vendored/docling/md/cupertino_usd_4-6-16.md

@@ -0,0 +1,31 @@
+<!-- image -->
+
+## CUPERTINO UNION SCHOOL DISTRICT
+
+## Board of Education Special Meeting AGENDA
+
+## Cupertino Union School District April 6, 2016 7:30 a.m
+
+1309 S. Mary Avenue Sunnyvale, CA 94087
+
+Welcome to the meeting of the Cupertino Union School District Board of Education. If you would like to address the Board during Public Comments on any agenda item or any item not on the agenda, please fill out a comment card available in the hallway and give it to the Administrative Assistant. You will be called on to comment during this time and comments will be limited to three (3) minutes. To ensure that all speakers are provided an equal opportunity to address the Board during Public Comments, individual speakers may not 'yield' their allotted time to address the Board to other speakers. In addition, the Board may, in accordance with the Brown Act (section 54954.3[b] of the Government Code), limit the total amount of time allocated for comment on a particular issue. The Board may choose to respond to agenda item comments or reserve their responses for discussion and action when the agenda item appears during the course of the meeting. It should be noted that the Board discourages complaints against individual officers or employees of the District during open session. Individuals who require special accommodation should contact the Superintendent's Office at (408) 252-3000, ext. 61200 at least two business days before the meeting date.
+
+As a courtesy to others, please turn off your cell phone upon entering the meeting.
+
+1.                                                       CALL TO ORDER/FLAG SALUTE
+2.                                                        PUBLIC COMMENT - ITEMS ON THE AGENDA
+
+The public may address the Board on any agenda item and any item not on the agenda. The Board president will only call on those who have filled out comment cards before the meeting, and each speaker will be allotted three (3) minutes. The Board will not respond or take action on any non-agenda item comments at this time, although the item may be agendized at a later date (Ed. Code 35145.5). The comments shall be made from the podium. In accordance with Government Code 54954.2 - No action or discussion shall be undertaken on any item not appearing on the posted agenda. The Board shall limit the total time to 30 minutes. Please refrain from any response to the speaker including negative and positive reactions (booing and clapping). This will ensure that all members of the public feel free to voice their opinions and concerns.
+
+`
+
+3.                                                        CLOSED SESSION
+
+By law, closed sessions are not open to the public. Anyone wishing to address the Board of Education on closed session matters may do so during Agenda Item 2 - Public Comments
+
+2.1 Public Employee Performance Evaluation - Pursuant to Government Code Section 54957 District Representatives: Board President Josephine Lucey and Vice-President Anjali Kausar Unrepresented Employee: Superintendent Wendy Gudalewicz
+
+4.                                                        REPORT FROM CLOSED SESSION
+5.                                                        DISCUSSION
+6.  5.1 Board Governance
+7.                                                        ADJOURNMENT

tools/benchmark-harness/vendored/docling/md/docling.md

@@ -0,0 +1,486 @@
+<!-- image -->
+
+## Docling Technical Report
+
+## Version 1.0
+
+Christoph Auer Maksym Lysak Ahmed Nassar Michele Dolfi Nikolaos Livathinos Panos Vagenas Cesar Berrospi Ramis Matteo Omenetti Fabian Lindlbauer Kasper Dinkla Lokesh Mishra Yusik Kim Shubham Gupta Rafael Teixeira de Lima Valery Weber Lucas Morin Ingmar Meijer Viktor Kuropiatnyk Peter W. J. Staar
+
+AI4K Group, IBM Research R¨ uschlikon, Switzerland
+
+## Abstract
+
+This technical report introduces Docling , an easy to use, self-contained, MITlicensed open-source package for PDF document conversion. It is powered by state-of-the-art specialized AI models for layout analysis (DocLayNet) and table structure recognition (TableFormer), and runs efficiently on commodity hardware in a small resource budget. The code interface allows for easy extensibility and addition of new features and models.
+
+## 1 Introduction
+
+Converting PDF documents back into a machine-processable format has been a major challenge for decades due to their huge variability in formats, weak standardization and printing-optimized characteristic, which discards most structural features and metadata. With the advent of LLMs and popular application patterns such as retrieval-augmented generation (RAG), leveraging the rich content embedded in PDFs has become ever more relevant. In the past decade, several powerful document understanding solutions have emerged on the market, most of which are commercial software, cloud offerings [3] and most recently, multi-modal vision-language models. As of today, only a handful of open-source tools cover PDF conversion, leaving a significant feature and quality gap to proprietary solutions.
+
+With Docling , we open-source a very capable and efficient document conversion tool which builds on the powerful, specialized AI models and datasets for layout analysis and table structure recognition we developed and presented in the recent past [12, 13, 9]. Docling is designed as a simple, self-contained python library with permissive license, running entirely locally on commodity hardware. Its code architecture allows for easy extensibility and addition of new features and models.
+
+Here is what Docling delivers today:
+
+- Converts PDF documents to JSON or Markdown format, stable and lightning fast
+- Understands detailed page layout, reading order, locates figures and recovers table structures
+- Extracts metadata from the document, such as title, authors, references and language
+- Optionally applies OCR, e.g. for scanned PDFs
+- Can be configured to be optimal for batch-mode (i.e high throughput, low time-to-solution) or interactive mode (compromise on efficiency, low time-to-solution)
+- Can leverage different accelerators (GPU, MPS, etc).
+
+## 2 Getting Started
+
+To use Docling, you can simply install the docling package from PyPI. Documentation and examples are available in our GitHub repository at github.com/DS4SD/docling. All required model assets 1 are downloaded to a local huggingface datasets cache on first use, unless you choose to pre-install the model assets in advance.
+
+Docling provides an easy code interface to convert PDF documents from file system, URLs or binary streams, and retrieve the output in either JSON or Markdown format. For convenience, separate methods are offered to convert single documents or batches of documents. A basic usage example is illustrated below. Further examples are available in the Doclign code repository.
+
+from docling.document_converter import DocumentConverter
+
+```text
+source = "https://arxiv.org/pdf/2206.01062" # PDF path or URL converter = DocumentConverter() result = converter.convert_single(source) print(result.render_as_markdown()) # output: "## DocLayNet: A Large Human -Annotated Dataset for Document -Layout Analysis [...]"
+```
+
+Optionally, you can configure custom pipeline features and runtime options, such as turning on or off features (e.g. OCR, table structure recognition), enforcing limits on the input document size, and defining the budget of CPU threads. Advanced usage examples and options are documented in the README file. Docling also provides a Dockerfile to demonstrate how to install and run it inside a container.
+
+## 3 Processing pipeline
+
+Docling implements a linear pipeline of operations, which execute sequentially on each given document (see Fig. 1). Each document is first parsed by a PDF backend, which retrieves the programmatic text tokens, consisting of string content and its coordinates on the page, and also renders a bitmap image of each page to support downstream operations. Then, the standard model pipeline applies a sequence of AI models independently on every page in the document to extract features and content, such as layout and table structures. Finally, the results from all pages are aggregated and passed through a post-processing stage, which augments metadata, detects the document language, infers reading-order and eventually assembles a typed document object which can be serialized to JSON or Markdown.
+
+## 3.1 PDF backends
+
+Two basic requirements to process PDF documents in our pipeline are a) to retrieve all text content and their geometric coordinates on each page and b) to render the visual representation of each page as it would appear in a PDF viewer. Both these requirements are encapsulated in Docling's PDF backend interface. While there are several open-source PDF parsing libraries available for python, we faced major obstacles with all of them for different reasons, among which were restrictive
+
+1 see huggingface.co/ds4sd/docling-models/
+
+Figure 1: Sketch of Docling's default processing pipeline. The inner part of the model pipeline is easily customizable and extensible.
+
+<!-- image -->
+
+licensing (e.g. pymupdf [7]), poor speed or unrecoverable quality issues, such as merged text cells across far-apart text tokens or table columns (pypdfium, PyPDF) [15, 14].
+
+We therefore decided to provide multiple backend choices, and additionally open-source a custombuilt PDF parser, which is based on the low-level qpdf [4] library. It is made available in a separate package named docling-parse and powers the default PDF backend in Docling. As an alternative, we provide a PDF backend relying on pypdfium , which may be a safe backup choice in certain cases, e.g. if issues are seen with particular font encodings.
+
+## 3.2 AI models
+
+As part of Docling, we initially release two highly capable AI models to the open-source community, which have been developed and published recently by our team. The first model is a layout analysis model, an accurate object-detector for page elements [13]. The second model is TableFormer [12, 9], a state-of-the-art table structure recognition model. We provide the pre-trained weights (hosted on huggingface) and a separate package for the inference code as docling-ibm-models . Both models are also powering the open-access deepsearch-experience, our cloud-native service for knowledge exploration tasks.
+
+## Layout Analysis Model
+
+Our layout analysis model is an object-detector which predicts the bounding-boxes and classes of various elements on the image of a given page. Its architecture is derived from RT-DETR [16] and re-trained on DocLayNet [13], our popular human-annotated dataset for document-layout analysis, among other proprietary datasets. For inference, our implementation relies on the onnxruntime [5].
+
+The Docling pipeline feeds page images at 72 dpi resolution, which can be processed on a single CPU with sub-second latency. All predicted bounding-box proposals for document elements are post-processed to remove overlapping proposals based on confidence and size, and then intersected with the text tokens in the PDF to group them into meaningful and complete units such as paragraphs, section titles, list items, captions, figures or tables.
+
+## Table Structure Recognition
+
+The TableFormer model [12], first published in 2022 and since refined with a custom structure token language [9], is a vision-transformer model for table structure recovery. It can predict the logical row and column structure of a given table based on an input image, and determine which table cells belong to column headers, row headers or the table body. Compared to earlier approaches, TableFormer handles many characteristics of tables, such as partial or no borderlines, empty cells, rows or columns, cell spans and hierarchy both on column-heading or row-heading level, tables with inconsistent indentation or alignment and other complexities. For inference, our implementation relies on PyTorch [2].
+
+The Docling pipeline feeds all table objects detected in the layout analysis to the TableFormer model, by providing an image-crop of the table and the included text cells. TableFormer structure predictions are matched back to the PDF cells in post-processing to avoid expensive re-transcription text in the table image. Typical tables require between 2 and 6 seconds to be processed on a standard CPU, strongly depending on the amount of included table cells.
+
+## OCR
+
+Docling provides optional support for OCR, for example to cover scanned PDFs or content in bitmaps images embedded on a page. In our initial release, we rely on EasyOCR [1], a popular thirdparty OCR library with support for many languages. Docling, by default, feeds a high-resolution page image (216 dpi) to the OCR engine, to allow capturing small print detail in decent quality. While EasyOCR delivers reasonable transcription quality, we observe that it runs fairly slow on CPU (upwards of 30 seconds per page).
+
+We are actively seeking collaboration from the open-source community to extend Docling with additional OCR backends and speed improvements.
+
+## 3.3 Assembly
+
+In the final pipeline stage, Docling assembles all prediction results produced on each page into a well-defined datatype that encapsulates a converted document, as defined in the auxiliary package docling-core . The generated document object is passed through a post-processing model which leverages several algorithms to augment features, such as detection of the document language, correcting the reading order, matching figures with captions and labelling metadata such as title, authors and references. The final output can then be serialized to JSON or transformed into a Markdown representation at the users request.
+
+## 3.4 Extensibility
+
+Docling provides a straight-forward interface to extend its capabilities, namely the model pipeline. A model pipeline constitutes the central part in the processing, following initial document parsing and preceding output assembly, and can be fully customized by sub-classing from an abstract baseclass ( BaseModelPipeline ) or cloning the default model pipeline. This effectively allows to fully customize the chain of models, add or replace models, and introduce additional pipeline configuration parameters. To use a custom model pipeline, the custom pipeline class to instantiate can be provided as an argument to the main document conversion methods. We invite everyone in the community to propose additional or alternative models and improvements.
+
+Implementations of model classes must satisfy the python Callable interface. The \_\_call\_\_ method must accept an iterator over page objects, and produce another iterator over the page objects which were augmented with the additional features predicted by the model, by extending the provided PagePredictions data model accordingly.
+
+## 4 Performance
+
+In this section, we establish some reference numbers for the processing speed of Docling and the resource budget it requires. All tests in this section are run with default options on our standard test set distributed with Docling, which consists of three papers from arXiv and two IBM Redbooks, with a total of 225 pages. Measurements were taken using both available PDF backends on two different hardware systems: one MacBook Pro M3 Max, and one bare-metal server running Ubuntu 20.04 LTS on an Intel Xeon E5-2690 CPU. For reproducibility, we fixed the thread budget (through setting OMP NUM THREADS environment variable ) once to 4 (Docling default) and once to 16 (equal to full core count on the test hardware). All results are shown in Table 1.
+
+If you need to run Docling in very low-resource environments, please consider configuring the pypdfium backend. While it is faster and more memory efficient than the default docling-parse backend, it will come at the expense of worse quality results, especially in table structure recovery.
+
+Establishing GPU acceleration support for the AI models is currently work-in-progress and largely untested, but may work implicitly when CUDA is available and discovered by the onnxruntime and
+
+torch runtimes backing the Docling pipeline. We will deliver updates on this topic at in a future version of this report.
+
+Table 1: Runtime characteristics of Docling with the standard model pipeline and settings, on our test dataset of 225 pages, on two different systems. OCR is disabled. We show the time-to-solution (TTS), computed throughput in pages per second, and the peak memory used (resident set size) for both the Docling-native PDF backend and for the pypdfium backend, using 4 and 16 threads.
+
+| CPU                     | Thread budget | native backend | native backend | native backend | pypdfium backend | pypdfium backend | pypdfium backend |
+| ----------------------- | ------------- | -------------- | -------------- | -------------- | ---------------- | ---------------- | ---------------- |
+|                         |               | TTS            | Pages/s        | Mem            | TTS              | Pages/s          | Mem              |
+| Apple M3 Max (16 cores) | 4 16          | 177 s 167 s    | 1.27 1.34      | 6.20 GB        | 103 s 92 s       | 2.18 2.45        | 2.56 GB          |
+| Intel(R) Xeon E5-2690   | 4 16          | 375 s 244 s    | 0.60 0.92      | 6.16 GB        | 239 s 143 s      | 0.94 1.57        | 2.42 GB          |
+
+## 5 Applications
+
+Thanks to the high-quality, richly structured document conversion achieved by Docling, its output qualifies for numerous downstream applications. For example, Docling can provide a base for detailed enterprise document search, passage retrieval or classification use-cases, or support knowledge extraction pipelines, allowing specific treatment of different structures in the document, such as tables, figures, section structure or references. For popular generative AI application patterns, such as retrieval-augmented generation (RAG), we provide quackling , an open-source package which capitalizes on Docling's feature-rich document output to enable document-native optimized vector embedding and chunking. It plugs in seamlessly with LLM frameworks such as LlamaIndex [8]. Since Docling is fast, stable and cheap to run, it also makes for an excellent choice to build document-derived datasets. With its powerful table structure recognition, it provides significant benefit to automated knowledge-base construction [11, 10]. Docling is also integrated within the open IBM data prep kit [6], which implements scalable data transforms to build large-scale multi-modal training datasets.
+
+## 6 Future work and contributions
+
+Docling is designed to allow easy extension of the model library and pipelines. In the future, we plan to extend Docling with several more models, such as a figure-classifier model, an equationrecognition model, a code-recognition model and more. This will help improve the quality of conversion for specific types of content, as well as augment extracted document metadata with additional information. Further investment into testing and optimizing GPU acceleration as well as improving the Docling-native PDF backend are on our roadmap, too.
+
+We encourage everyone to propose or implement additional features and models, and will gladly take your inputs and contributions under review . The codebase of Docling is open for use and contribution, under the MIT license agreement and in alignment with our contributing guidelines included in the Docling repository. If you use Docling in your projects, please consider citing this technical report.
+
+## References
+
+- [1] J. AI. Easyocr: Ready-to-use ocr with 80+ supported languages. <https://github.com/> JaidedAI/EasyOCR , 2024. Version: 1.7.0.
+- [2] J. Ansel, E. Yang, H. He, N. Gimelshein, A. Jain, M. Voznesensky, B. Bao, P. Bell, D. Berard, E. Burovski, G. Chauhan, A. Chourdia, W. Constable, A. Desmaison, Z. DeVito, E. Ellison, W. Feng, J. Gong, M. Gschwind, B. Hirsh, S. Huang, K. Kalambarkar, L. Kirsch, M. Lazos, M. Lezcano, Y. Liang, J. Liang, Y. Lu, C. Luk, B. Maher, Y. Pan, C. Puhrsch, M. Reso, M. Saroufim, M. Y. Siraichi, H. Suk, M. Suo, P. Tillet, E. Wang, X. Wang, W. Wen, S. Zhang, X. Zhao, K. Zhou, R. Zou, A. Mathews, G. Chanan, P. Wu, and S. Chintala. Pytorch 2: Faster
+
+machine learning through dynamic python bytecode transformation and graph compilation. In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS '24) . ACM, 4 2024. doi: 10.1145/3620665.3640366. URL <https://pytorch.org/assets/pytorch2-2.pdf> .
+
+- [3] C. Auer, M. Dolfi, A. Carvalho, C. B. Ramis, and P. W. Staar. Delivering document conversion as a cloud service with high throughput and responsiveness. In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) , pages 363-373. IEEE, 2022.
+- [4] J. Berkenbilt. Qpdf: A content-preserving pdf document transformer, 2024. URL https: //github.com/qpdf/qpdf .
+- [5] O. R. developers. Onnx runtime. <https://onnxruntime.ai/> , 2024. Version: 1.18.1.
+- [6] IBM. Data Prep Kit: a community project to democratize and accelerate unstructured data preparation for LLM app developers, 2024. URL <https://github.com/IBM/> data-prep-kit .
+- [7] A. S. Inc. PyMuPDF, 2024. URL <https://github.com/pymupdf/PyMuPDF> .
+- [8] J. Liu. LlamaIndex, 11 2022. URL <https://github.com/jerryjliu/llama>\_index .
+- [9] M. Lysak, A. Nassar, N. Livathinos, C. Auer, and P. Staar. Optimized Table Tokenization for Table Structure Recognition. In Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San Jos´ e, CA, USA, August 21-26, 2023, Proceedings, Part II , pages 37-50, Berlin, Heidelberg, Aug. 2023. Springer-Verlag. ISBN 978-3-031-41678-1. doi: 10. 1007/978-3-031-41679-8 3. URL <https://doi.org/10.1007/978-3-031-41679-8>\_3 .
+- [10] L. Mishra, S. Dhibi, Y. Kim, C. Berrospi Ramis, S. Gupta, M. Dolfi, and P. Staar. Statements: Universal information extraction from tables with large language models for ESG KPIs. In D. Stammbach, J. Ni, T. Schimanski, K. Dutia, A. Singh, J. Bingler, C. Christiaen, N. Kushwaha, V. Muccione, S. A. Vaghefi, and M. Leippold, editors, Proceedings of the 1st Workshop on Natural Language Processing Meets Climate Change (ClimateNLP 2024) , pages 193-214, Bangkok, Thailand, Aug. 2024. Association for Computational Linguistics. URL <https://aclanthology.org/2024.climatenlp-1.15> .
+- [11] L. Morin, V. Weber, G. I. Meijer, F. Yu, and P. W. J. Staar. Patcid: an open-access dataset of chemical structures in patent documents. Nature Communications , 15(1):6532, August 2024. ISSN 2041-1723. doi: 10.1038/s41467-024-50779-y. URL <https://doi.org/10.1038/> s41467-024-50779-y .
+- [12] A. Nassar, N. Livathinos, M. Lysak, and P. Staar. Tableformer: Table structure understanding with transformers. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 4614-4623, 2022.
+- [13] B. Pfitzmann, C. Auer, M. Dolfi, A. S. Nassar, and P. Staar. Doclaynet: a large humanannotated dataset for document-layout segmentation. pages 3743-3751, 2022.
+- [14] pypdf Maintainers. pypdf: A Pure-Python PDF Library, 2024. URL <https://github.com/> py-pdf/pypdf .
+- [15] P. Team. PyPDFium2: Python bindings for PDFium, 2024. URL <https://github.com/> pypdfium2-team/pypdfium2 .
+- [16] Y. Zhao, W. Lv, S. Xu, J. Wei, G. Wang, Q. Dang, Y. Liu, and J. Chen. Detrs beat yolos on real-time object detection, 2023.
+
+## Appendix
+
+In this section, we illustrate a few examples of Docling's output in Markdown and JSON.
+
+<!-- image -->
+
+1 INTRODUCTION
+
+Despite the substantial improvements achieved with machine-learning (ML) approaches and deep neural networks in recent years, document conversion remains a challenging problem, as demonstrated by the numerous public competitions held on this topic [1-4]. The challenge originates from the huge variability in PDF documents regarding layout, language and formats (scanned, programmatic or a combination of both). Engineering a single ML model that can be applied on all types of documents and provides high-quality layout segmentation remains to this day extremely challenging [5]. To highlight the variability in document layouts, we show a few example documents from the DocLayNet dataset in Figure 1. Figure 2: Title page of the DocLayNet paper (arxiv.org/pdf/2206.01062) - left PDF, right rendered Markdown. If recognized, metadata such as authors are appearing first under the title. Text content inside figures is currently dropped, the caption is retained and linked to the figure in the JSON representation (not shown).
+
+Table 2: Prediction performance (mAP @0.5-0.95) of object detection networks on DocLayNet test set. The MRCNN (Mask R-CNN) and
+
+FRCNN (Faster R-CNN) models with ResNet-50 or ResNet-101 backbone were trained based on the network architectures from the detectron2 model 200 (Mask R-CNN R50, R101-FPN 3x, Faster R-CNN R101-FPN 3x), with default configurations. The YOLO
+
+implementation utiized was YOLOv5x6 (13). All models were initialised using pre-trained weights from the COCO 2017 dataset.
+
+human
+
+84-89
+
+83-91
+
+83-85
+
+87-88
+
+93-94
+
+85-89
+
+69-71
+
+83-84
+
+77-81
+
+84-86
+
+60-72
+
+82-83
+
+FRONN
+
+YOLO
+
+MRCNN
+
+MRCNN
+
+R50
+
+68.4
+
+70.9
+
+60.1
+
+81.2
+
+61.6
+
+71.9
+
+71.7
+
+67.6
+
+82.2
+
+84.6
+
+76.7
+
+72.4
+
+R101
+
+71.5
+
+71.8
+
+63.4
+
+80.8
+
+59.3
+
+70.0
+
+72.7
+
+69.3
+
+82.9
+
+85.8
+
+80.4
+
+73.5
+
+R101
+
+70.1
+
+73.7
+
+63.5
+
+81.0
+
+58.9
+
+72.0
+
+72.0
+
+68.4
+
+82.2
+
+85.4
+
+79.9
+
+V5x6
+
+77.7
+
+77.2
+
+66.2
+
+86.2
+
+61.1
+
+67.9
+
+77.1
+
+74.6
+
+86.3
+
+88.1
+
+82.7
+
+Caption
+
+Footnote
+
+Formula
+
+List-item
+
+Page-footer
+
+Page-header
+
+Picture
+
+Section-header
+
+Table
+
+Text
+
+Title
+
+73.4
+
+to avoid this at any cost in order to have clear, unbiased baseline numbers for human document-layout annotation. Third, we introduced the feature of snapping boxes around text segments to obtain a pixel-accurate annotation and again reduce time and effort. The CCS
+
+annotation tool automatically shrinks overy user-drawn box to the minimum bounding-box around the enclosed text-cells for all purely text- based segments, which excludes only Table and Picture. For the latter, we instructed annotation staff to minimise inclusion of surrounding
+
+whitespace while including all graphical lines. A downside of snapping boxes to enclosed text cells is that some wrongly parsed PDF
+
+pages cannot be annotated correctly and need to be skipped. Fourth, we established a way to flag pages as rejected for cases where no valid annotation according to the label guidelines could be achieved. Example cases for this would be PDF pages that render incorrectly
+
+or contain layouts that are impossible to capture with non-overlapping rectangles. Such rejected pages are not contained in the final dataset. With all these measures in place, experienced annotation statt managed to annotate a single page in a typical timeframe of 20s
+
+to 60s, depending on its complexity.
+
+5 EXPERIMENTS
+
+The primary goal of DocLayNet is to obtain high-quality ML models capable of accurate document-layout analysis on a wide variety of challenging layouts. As discussed in Section 2, object detection models are currently the easiest to use, due to the standardisation of
+
+ground-truth data in COCO format (16) and the availabilty of general frameworks such as detectron2 (17]. Furthermore, baseline numbers in PubLayNet and DocBank were obtained using standard object detection models such as Mask R-CNN and Faster R-CNN. As such, we
+
+will relate to these object detection methods in this
+
+Figure 5: Prediction performance (mAP @0.5-0.95) of a Mask R-CNN network with ResNet50 backbone trained on increasing fractions of the DocLayNet dataset. The learning curve flattens around the 80% mark, indicating that increasing the size of the DocLayNet dataset
+
+with similar data will not yield significantly better predictions.
+
+paper and leave the detailed evaluation of more recent methods mentioned in Section 2 for future work.
+
+KDD '22, August 14-18, 2022, Washington, DC, USA Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, and Peter Staar
+
+PubLayNet, we will evaluate the quality of their predictions using mean average precision (mAP) with 10 overlaps that range from 0.5 to
+
+Baselines for Object Detection
+
+Table 2: Prediction performance (mAP@0.5-0.95) of object detection networks on DocLayNet test set. The MRCNN (Mask R-CNN) and FRCNN (Faster R-CNN) models with ResNet-50 or ResNet-101 backbone were trained based on the network architectures from the detectron2 model zoo (Mask R-CNN R50, R101-FPN 3x, Faster R-CNN R101-FPN 3x), with default configurations. The YOLO implementation utilized was YOLOv5x6 [13]. All models were initialised using pre-trained weights from the COCO 2017 dataset.
+
+surprising, as Text, Table and Picture are abundant and the most visually distinctive in a document.
+
+|                                                                                                        | human                                                                   | MRCNN R50 R101                                                                                                          | FRCNN R101                                                  | YOLO v5x6                                                   |
+| ------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------- | ----------------------------------------------------------- |
+| Caption Footnote Formula List-item Page-footer Page-header Picture Section-header Table Text Title All | 84-89 83-91 83-85 87-88 93-94 85-89 69-71 83-84 77-81 84-86 60-72 82-83 | 68.4 71.5 70.9 71.8 60.1 63.4 81.2 80.8 61.6 59.3 71.9 70.0 71.7 72.7 67.6 69.3 82.2 82.9 84.6 85.8 76.7 80.4 72.4 73.5 | 70.1 73.7 63.5 81.0 58.9 72.0 72.0 68.4 82.2 85.4 79.9 73.4 | 77.7 77.2 66.2 86.2 61.1 67.9 77.1 74.6 86.3 88.1 82.7 76.8 |
+
+to avoid this at any cost in order to have clear, unbiased baseline numbers for human document-layout annotation. Third, we introduced the feature of snapping boxes around text segments to obtain a pixel-accurate annotation and again reduce time and effort. The CCS annotation tool automatically shrinks every user-drawn box to the minimum bounding-box around the enclosed text-cells for all purely text-based segments, which excludes only Table and Picture . For the latter, we instructed annotation staff to minimise inclusion of surrounding whitespace while including all graphical lines. A downside of snapping boxes to enclosed text cells is that some wrongly parsed PDF pages cannot be annotated correctly and need to be skipped. Fourth, we established a way to flag pages as rejected for cases where no valid annotation according to the label guidelines could be achieved. Example cases for this would be PDF pages that render incorrectly or contain layouts that are impossible to capture with non-overlapping rectangles. Such rejected pages are not contained in the final dataset. With all these measures in place, experienced annotation staff managed to annotate a single page in a typical timeframe of 20s to 60s, depending on its complexity.
+
+## 5 EXPERIMENTS
+
+The primary goal of DocLayNet is to obtain high-quality ML models capable of accurate document-layout analysis on a wide variety of challenging layouts. As discussed in Section 2, object detection models are currently the easiest to use, due to the standardisation of ground-truth data in COCO format [16] and the availability of general frameworks such as detectron2 [17]. Furthermore, baseline numbers in PubLayNet and DocBank were obtained using standard object detection models such as Mask R-CNN and Faster R-CNN. As such, we will relate to these object detection methods in this
+
+Figure 5: Prediction performance (mAP@0.5-0.95) of a Mask R-CNNnetworkwithResNet50backbonetrainedonincreasing fractions of the DocLayNet dataset. The learning curve flattens around the 80% mark, indicating that increasing the size of the DocLayNet dataset with similar data will not yield significantly better predictions.
+
+<!-- image -->
+
+paper and leave the detailed evaluation of more recent methods mentioned in Section 2 for future work.
+
+In this section, we will present several aspects related to the performance of object detection models on DocLayNet. Similarly as in PubLayNet, we will evaluate the quality of their predictions using mean average precision (mAP) with 10 overlaps that range from 0.5 to 0.95 in steps of 0.05 (mAP@0.5-0.95). These scores are computed by leveraging the evaluation code provided by the COCO API [16].
+
+## Baselines for Object Detection
+
+In Table 2, we present baseline experiments (given in mAP) on Mask R-CNN [12], Faster R-CNN [11], and YOLOv5 [13]. Both training and evaluation were performed on RGB images with dimensions of 1025 × 1025 pixels. For training, we only used one annotation in case of redundantly annotated pages. As one can observe, the variation in mAP between the models is rather low, but overall between 6 and 10% lower than the mAP computed from the pairwise human annotations on triple-annotated pages. This gives a good indication that the DocLayNet dataset poses a worthwhile challenge for the research community to close the gap between human recognition and ML approaches. It is interesting to see that Mask R-CNN and Faster R-CNN produce very comparable mAP scores, indicating that pixel-based image segmentation derived from bounding-boxes does not help to obtain better predictions. On the other hand, the more recent Yolov5x model does very well and even out-performs humans on selected labels such as Text , Table and Picture . This is not entirely surprising, as Text , Table and Picture are abundant and the most visually distinctive in a document.
+
+Figure 3: Page 6 of the DocLayNet paper. If recognized, metadata such as authors are appearing first under the title. Elements recognized as page headers or footers are suppressed in Markdown to deliver uninterrupted content in reading order. Tables are inserted in reading order. The paragraph in '5. Experiments' wrapping over the column end is broken up in two and interrupted by the table.
+
+v "tables": [
+
+"#-cols": 12,
+
+"#-rows": 14,
+
+"data": [
+
+"bbox": [
+
+329.04998779296875,
+
+643.40185546875,
+
+483.39764404296875,
+
+651.7764892578125
+
+"spans": [-
+
+"text': "triple inter-annotator mAP @ 0.5-0.95 (%)",
+
+"col": 5,
+
+"col-span": [5,12]
+
+"row": 0,
+
+"row-span": [0,1]
+
+C 3 v
+
+V
+
+8
+
+9
+
+10
+
+11
+
+12
+
+13
+
+14
+
+27
+
+28
+
+29
+
+30
+
+31
+
+32
+
+33
+
+34
+
+35
+
+V
+
+&gt;
+
+13]
+
+KDD '22, August 14-18, 2022, Washington, DC, USA
+
+Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S. Nassar, and Peter Staar
+
+Table 1: DocLayNet dataset overview. Along with the frequency of each class label, we present the relative occurrence (as %
+
+<!-- image -->
+
+of row 'Total') in the train, test and validation sets. The inter-annotator agreement is computed as the mAP@0.5-0.95 metric we distributed the annotation workload and performed continuous
+
+only. For phases three and four, a group of 40 dedicated annotators quality controls. Phase one and two required a small team of experts
+
+were assembled and supervised.
+
+while coverage ensures that all meaningful items on a page can to a document category, such as
+
+be annotated. We refrained from class labels that are very specific
+
+Abstract in the
+
+Scientific Articles semantics of the text. Labels such as
+
+category. We also avoided class labels that are tightly linked to the
+
+Author
+
+Affiliation
+
+teria for documents were described in Section 3. A large effort went into ensuring that all documents are free to use. The data sources in DocBank, are often only distinguishable by discriminating on 3 <https://arxiv.org/> Figure 4: Table 1 from the DocLayNet paper in the original PDF (A), as rendered Markdown (B) and in JSON representation (C). Spanning table cells, such as the multi-column header 'triple interannotator mAP@0.5-0.95 (%)', is repeated for each column in the Markdown representation (B), which guarantees that every data point can be traced back to row and column headings only by its grid coordinates in the table. In the JSON representation, the span information is reflected in the fields of each table cell (C).
+
+and
+
+, as seen
+
+Phase 1: Data selection and preparation.
+
+Our inclusion cri-

tools/benchmark-harness/vendored/docling/md/extra-attrs-example.md

@@ -0,0 +1 @@
+## BlackRed Arial

tools/benchmark-harness/vendored/docling/md/figure_structure.md

@@ -0,0 +1,3 @@
+Figure 1: Chart
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/hello_structure.md

@@ -0,0 +1,5 @@
+## Hello World
+
+## Goodbye Cruel World
+
+I'll be back shortly!

tools/benchmark-harness/vendored/docling/md/image_bmp.md

@@ -0,0 +1 @@
+## Hello World

tools/benchmark-harness/vendored/docling/md/image_chart.md

@@ -0,0 +1,23 @@
+Table 1: Current layout detection models in the LayoutParser model zoo
+
+| Dataset         |       | Base Model'| Large Model | Notes |                                                            |
+| --------------- | ----- | ------------------------------------------ | ---------------------------------------------------------- |
+| PubLayNet [38]  | F / M | M                                          | Layouts of modern acientific documents                     |
+| PRImA (3]       | M     |                                            | Layouts of scanned modern magazines and scientific reports |
+| Newspaper (17)  |       |                                            | Labut of and i caper for the both conten.                  |
+| ableBank | |       |                                            |                                                            |
+| Dataset [       | F / M |                                            | ayouts of history Japanese document                        |
+
+1 orga dion car, or ta mad and as ice Were a i Reait 0 or Realit 101. 2o0 in coming months.
+
+layout data structures, which are optimized for efficiency and versatility. 3) When necessary, users can employ existing or customized OCR models via the unified API provided in the OCR module. 4) LayoutParser comes with a set of utility functions for the visualization and storage of the layout data. 5) LayoutParser is also highly customizable, via its integration with functions for layout data annotation and model training. We now provide detailed descriptions for each
+
+## 3.1 Layout Detection Models
+
+In LayoutParser, a layout model takes a document image as an input and generates a list of rectangular boxes for the target content regions. Different from traditional methods, it relies on deep convolutional neural networks rather than manually curated rules to identify content regions. It is formulated as an object detection problem and state-of-the-art models like Faster R-CNN 28] and Mask R-CNN 12] are used. This yields prediction results of high accuracy and makes it possible to build a concise, generalized interface for layout detection. LayoutParser, built upon Detectron2 35], provides a minimal API that can perform layout detection with only four lines of code in Python:
+
+```text
+import layoutparser as lp 2 image = cv2. imread("image_file") # load images 3 model = 1p. Detectron2LayoutModel ( "1p://PubLayllet/faster_rcnn_R_50_FPN_3x/config") · layout = model. detect (image)
+```
+
+LayoutParser provides a wealth of pre-trained model weights using various datasets covering different languages, time periods, and document types. Due to domain shift [7], the prediction performance can notably drop when models are applied to target samples that are significantly different from the training dataset. As document structures and layouts vary greatly in different domains, it is important to select models trained on a dataset similar to the test samples. A semantic syntax is used for initializing the model weights in LayoutParser, using both the dataset name and model name 1p://<dataset-name>/<model-architecture-name>.

tools/benchmark-harness/vendored/docling/md/image_complex_document.md

@@ -0,0 +1,13 @@
+## Sales Report 2024
+
+This report contains quarterly sales data for our products. Q1 Sales: Q2 Sales:
+
+| Product  | Units | Revenue | Product  | Units | Revenue |
+| -------- | ----- | ------- | -------- | ----- | ------- |
+| Widget A | 150   | ,500    | Widget A | 180   | ,000    |
+| Widget B | 200   | 1,000   | Widget B | 220   | ,200    |
+| Widget C | 100   | 1,000   | Widget C | 130   | ,400    |
+
+Summary: Total Q1 Revenue: ,500 Total Q2 Revenue: ,600
+
+Prepared by: John Doe Date: 2024-03-15 Department: Finance

tools/benchmark-harness/vendored/docling/md/image_complex_document_rotated_180.md

@@ -0,0 +1,13 @@
+Prepared by: Date: Department: John Doe 2024-03-15 Finance
+
+Summary: Total Q1 Revenue: ,500 Total Q2 Revenue: ,600
+
+| ,400    | 130   | Widget C | 100 ,000      | Widget C |
+| ------- | ----- | -------- | ------------- | -------- |
+| ,200    | 220   | Widget B | 200 ,000      | Widget B |
+| 1,000   | 180   | Widget A | 150 ,500      | Widget A |
+| Revenue | Units | Product  | Units Revenue | Product  |
+
+This report contains quarterly sales data for our products. Q1 Sales: Q2 Sales:
+
+## Sales Report 2024

tools/benchmark-harness/vendored/docling/md/image_complex_document_rotated_270.md

@@ -0,0 +1,52 @@
+## Sales Report 2024
+
+This report contains quarterly sales data for our products.
+
+## Q2 Sales
+
+## Q1 Sales
+
+Revenue
+
+Units
+
+Product
+
+1,000
+
+180
+
+,200
+
+220
+
+1,400
+
+130
+
+Widget A
+
+Widget B
+
+Widget C
+
+| Revenue | ,500     | 1,000    | ,000     |
+| ------- | -------- | -------- | -------- |
+| Units   | 150      | 200      | 100      |
+| Product | Widget A | Widget B | Widget C |
+
+Summary:
+
+Total Q1 Revenue: ,500
+
+Total Q2 Revenue: ,600
+
+Prepared by: John Doe
+
+Date:
+
+Department:
+
+2024-03-15
+
+Finance

tools/benchmark-harness/vendored/docling/md/image_complex_document_rotated_90.md

@@ -0,0 +1,25 @@
+| Department: | Date:      | Prepared by: |
+| ----------- | ---------- | ------------ |
+| Finance     | 2024-03-15 | John Doe     |
+
+Total Q2 Revenue: ,600
+
+Total Q1 Revenue: ,500
+
+Summary:
+
+| Widget C | Widget B | Widget A | Product |
+| -------- | -------- | -------- | ------- |
+| 100      | 200      | 150      | Units   |
+| 1,000    | ,000     | ,500     | Revenue |
+| Widget C | Widget B | Widget A | Product |
+| 130      | 220      | 180      | Units   |
+| ,400     | ,200     | ,000     | Revenue |
+
+Q1 Sales:
+
+## Q2 Sales
+
+This report contains quarterly sales data for our products.
+
+## Sales Report 2024

tools/benchmark-harness/vendored/docling/md/image_invoice.md

@@ -0,0 +1,9 @@
+INVOICE
+
+Bill To Invoice #: 123
+
+John Doe Date: 2025-07-10
+
+123 Main St
+
+Anytown, USA 12345

tools/benchmark-harness/vendored/docling/md/image_ocr.md

@@ -0,0 +1,27 @@
+## Nasdaq & AMEX
+
+Stocks in bold rose or fell 5% or more.
+
+<!-- image -->
+
+· USA Track your investments with our continuously TODAY updated stocks. Visit us on the web at .com money.usatoday.com
+
+| 52-week High |       | Low Stock      | Last Change |             | 52-week High  | Low   | Stock       |       | Last Change  |
+| ------------ | ----- | -------------- | ----------- | ----------- | ------------- | ----- | ----------- | ----- | ------------ |
+|              |       |                |             |             | 45.71         | 32,50 | Biomet      |       | 36.71 —0.42  |
+|              | - A - | - A -          |             |             | 2.76          | 1.20  | Biomira     | 1.46  | +0 .03       |
+|              |       |                |             |             | 9.07          | 5.13  | BioScrip    | 8,05  | +0.34        |
+| 9.19         |       | 6.89 ABX Air n |             | 7.52 -0.10  | 68.88         | 50.65 | Biosite     | 50.05 | -4.57        |
+| 33.25        | 12.40 | ACMoore        | 13.58       | -1.57       | 212.25 131.03 |       | BiotechT    |       | 204.66 -0.84 |
+| 31.38        |       | 13.51 ADA-ES   | 20.96       | +3.16       | 8.50          | 1.40  | BirchMt gn  | 6.52  | -0.45        |
+| 27.14        | 12.88 | ADC Tel rs     | 23.21       | +0.13       | 18.21         | 10.73 | Bickbaud    | 17.90 | +0.70        |
+| 30.40        | 16.70 | ADECD          | 27.32       | +0.73       | 52.73         | 13.86 | BluCoat     | 41.29 | +1.30        |
+| 16.45        | 10.47 | AFC Ent s      | 15.40       | -0.14       | 44.35         | 24.15 | BlueNile    | 40.30 | -1.10        |
+| 8.37         | 4.50  | ASE Tst        | 7.76        | +0,40       | 26.45         | 19.91 | BobEvn      | 22.99 |              |
+| 19.25        | 12.75 | ASM Inti       | 17.65       | -0.03       | 15.94         | 6.12  | Bodisen n   | 15.45 | +0.45        |
+| 20. 192      | 13.94 | ASML HId       | 21.24       | +0.46       | 6.21          | 1.56  | Bookham     | 5.94  | 10.06        |
+| 27.38        | 16.39 | ASV Inc s      | 26.76       | -0.14       | 11.80         | 4.99  | Borland     | 6.68  | +0.14        |
+| 19.82        | 10.47 | ATI Tech       | 17.89       | +0.68       | 31.90         | 21.10 | BostPrv     | 31.18 | -0.07        |
+| 33.62        | 20.53 | ATMI inc       |             | 29.95 +1.29 | 18.62         | 10.01 | BitminT     | 11.53 | +0.20        |
+| 39.20        | 16.76 | ATP O&G        |             | 38.40 -0.59 | 14.68         | 7.10  | BrigExp     | 12.10 | -0.23        |
+| 4.24         | 1.99  | AVI Bio        |             | 3.62 -0.02  | 46.72         | 26.65 | BrightHrz s |       | 38.90 -0.80  |

tools/benchmark-harness/vendored/docling/md/image_ocr_test_original.md

@@ -0,0 +1 @@
+Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package

tools/benchmark-harness/vendored/docling/md/image_ocr_test_rotated_180.md

@@ -0,0 +1 @@
+Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package

tools/benchmark-harness/vendored/docling/md/image_ocr_test_rotated_270.md

@@ -0,0 +1 @@
+Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package

tools/benchmark-harness/vendored/docling/md/image_ocr_test_rotated_90.md

@@ -0,0 +1 @@
+Docling bundles PDF document conversion to JSON and Markdown in an easy self contained package

tools/benchmark-harness/vendored/docling/md/image_scanned.md

@@ -0,0 +1,10 @@
+## RULES AND INSTRUCTIONS
+
+1. Template for day 1 (korean), for day 2 (English) for day 3 both English and korean. 2. Use all your accounts. use different emails to send. Its better to have many email accounts.
+
+Note: Remember to write your own "OPENING MESSAGE" before you copy and paste the template. please always include [TREASURE HARUTO] for example:
+
+HARUTOMO HOLE MOEN, HARUTO M E
+
+3. CC <Harutonations@gmail.com> so we can keep track of how many emails were successfully sent
+4. Use the hashtag of Haruto on your tweet to show that vou have sent vour email

tools/benchmark-harness/vendored/docling/md/image_table.md

@@ -0,0 +1,13 @@
+## Sales Report 2024
+
+This report contains quarterly sales data for our products. Q1 Sales: Q2 Sales:
+
+| Product  | Units | Revenue | Product  | Units | Revenue |
+| -------- | ----- | ------- | -------- | ----- | ------- |
+| Widget A | 150   | ,500    | Widget A | 180   | ,000    |
+| Widget B | 200   | 1,000   | Widget B | 220   | ,200    |
+| Widget C | 100   | 1,000   | Widget C | 130   | ,400    |
+
+Summary: Total Q1 Revenue: ,500 Total Q2 Revenue: ,600
+
+Prepared by: John Doe Date: 2024-03-15 Department: Finance

tools/benchmark-harness/vendored/docling/md/image_tiff.md

@@ -0,0 +1,27 @@
+## Nasdaq & AMEX
+
+Stocks in bold rose or fell 5% or more.
+
+<!-- image -->
+
+Track your investments with our continuously updated stocks. Visit us on the web at money.usatoday.com
+
+| 52-week High |       | Low Stock      | Last Change |             | 52-week High  | Low   | Stock       |        | Last Change |
+| ------------ | ----- | -------------- | ----------- | ----------- | ------------- | ----- | ----------- | ------ | ----------- |
+|              |       |                |             |             | 45.71         | 32,50 | Biomet      |        | 36.71 -0.42 |
+|              | - A - | - A -          |             |             | 2.76          | 1.20  | Biomira     | 1.46   | +0 .03      |
+|              |       |                |             |             | 9.07          | 5.13  | BioScrip    | 8.05   | +0.34       |
+| 9.19         |       | 6.89 ABX Air n |             | 7.52 -0.10  | 68.88         | 50.65 | Blosite     | 50.05  | -4.57       |
+| 33.25        |       | 12.40 ACMoore  | 13.58       | -1.57       | 212.25 131.03 |       | BiotechT    | 204.66 | -0.84       |
+| 31.38        |       | 13.51 ADA-ES   | 20.96       | +3.16       | 8.50          | 1.40  | BirchMt gn  | 6.52   | -0.45       |
+| 27.14        | 12.88 | ADC Tel rs     | 23.21       | +0.13       | 18.21         | 10.73 | Bickbaud    | 17.90  | +0.70       |
+| 30.40        | 16.70 | ADECp          | 27.32       | +0.73       | 52.73         | 13.86 | BluCoat     | 41.29  | +1.30       |
+| 16.45        | 10.47 | AFC Ent s      | 15.40       | -0.14       | 44.35         | 24.15 | BlueNile    | 40.30  | -1.10       |
+| 8.37         | 4.50  | ASE Tst        | 7.76        | +0,40       | 26.45         | 19.91 | BobEvn      | 22.99  |             |
+| 19 .25       | 12.75 | ASM Inti       | 17.65       | -0.03       | 15.94         | 6.12  | Bodisen n   | 15.45  | +0.45       |
+| 20.92        | 13.94 | ASML Hid       | 21.24       | +0.48       | 6.21          | 1.56  | Bookham     | 5.94   | +0.06       |
+| 27.38        | 16.39 | ASV Inc s      | 26.76       | +0.14       | 11.80         | 4.99  | Borland     | 6.68   | +0.14       |
+| 19. .82      | 10.47 | ATI Tech       | 17.89       | +0.68       | 31.90         | 21.10 | BostPrv     | 31.18  | -0.07       |
+| 33.62        | 20.53 | ATMI Inc       |             | 29.95 +1.29 | 18.62         | 10.01 | BitminT     | 11.53  | +0.20       |
+| 39.20        | 16.76 | ATP 0&G        |             | 38.40 —0.59 | 14.68         | 7.10  | BrigExp     | 12.10  | -0.23       |
+| 4.24         | 1.99  | AVI Bio        |             | 3.62 - 0.02 | 46.72         | 26.65 | BrightHrz s |        | 38.90 -0.80 |

tools/benchmark-harness/vendored/docling/md/image_webp.md

@@ -0,0 +1,27 @@
+## Nasdaq & AMEX
+
+Stocks in bold rose or fell 5% or more
+
+<!-- image -->
+
+Track your investments with our continuously updated stocks. Visit us on the web at money.usatoday.com
+
+| 52-week High |       | Low Stock      | Last Change |             | 52-week High | Low     | Stock       |       | Last Change  |
+| ------------ | ----- | -------------- | ----------- | ----------- | ------------ | ------- | ----------- | ----- | ------------ |
+|              |       |                |             |             | 45.71        | 32,50   | Biomet      |       | 36.71 -0.42  |
+|              | - A - | - A -          |             |             | 2.76         | 1.20    | Biomira     | 1.46  | +0 1.03      |
+|              |       |                |             |             | 9.07         | 5.13    | BioScrip    | 8.05  | +0.34        |
+| 9.19         |       | 6.89 ABX Air n |             | 7.52 -0:10  | 68.88        | 50.65   | Blosite     | 50.05 | -4.57        |
+| 33.25        | 12.40 | ACMoore        | 13.58       | -1.57       | 212.25       | (131.03 | BiotechT    |       | 204.66 -0.84 |
+| 31.38        |       | 13.51 ADA-ES   | 20.96       | +3.16       | 8.5          | 1.40    | BirchMt gn  |       | 6.52 -0.45   |
+| 27.14        | 12.88 | ADC Tel rs     | 23.21       | +0.13       | 18.21        | 10.73   | Bickbaud    | 17.90 | +0.70        |
+| 30.40        | 16.70 | ADECO          | 27.32       | +0.73       | 52.73        | 13.86   | BluCoat     | 41.29 | +1 .30       |
+| 16.45        | 10.47 | AFC Ent s      | 15.40       | -0.14       | 44.35        | 24.15   | BlueNile    | 40.30 | -1.10        |
+| 8.37         | 4.50  | ASE Tst        | 7.76        | +0,40       | 26.45        | 19.91   | BobEvn      | 22.99 |              |
+| 19.25        | 12.75 | ASM Inti       | 17.65       | -0.03       | 15.94        | 6.12    | Bodisen n   | 15.45 | +0.45        |
+| 20.92        | 13.94 | ASML HId       | 21.24       | +0.46       | 6.21         | 1.56    | Bookham     | 5.94  | -0.06        |
+| 27.38        | 16.39 | ASV Inc s      | 26.76       | +0.14       | 11.8         | 4.99    | Borland     | 6.68  | +0.14        |
+| 19.82        | 10.47 | ATI Tech       | 17.89       | +0.68       | 31.9         | 21.10   | BostPrv     | 31.18 | -0.07        |
+| 33.62        | 20.53 | ATMI inc       |             | 29.95 +1.29 | 18.62        | 10.01   | BitminT     | 11.53 | +0.20        |
+| 39.20        | 16.76 | ATP 0&G        |             | 38.40 -0.59 | 14.68        | 7.10    | BrigExp     | 12.10 | 1-0.23       |
+| 4.24         | 1.99  | AVI Bio        |             | 3.62 -0.02  | 46.72        | 26.65   | BrightHrz s |       | 38.90 —0.80  |

tools/benchmark-harness/vendored/docling/md/issue-1114-dedupe-chars.md

@@ -0,0 +1,5 @@
+## Simple Duplicated Font Duplicated Font
+
+## Size Size
+
+## Italic Weight Horizontal shift Vertical shift Vertical shift Horizontal shift Weight Italic

tools/benchmark-harness/vendored/docling/md/issue-1181.md

@@ -0,0 +1,3 @@
+<!-- image -->
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/issue-1279-example.md

@@ -0,0 +1,3 @@
+## The Voice of God Again Is Heard 18
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/issue-140-example.md

@@ -0,0 +1,24 @@
+| Line no | UPC code      | Location    | Item Description          | Item Quantity | Bill Amount | Accrued Amount | Handling Rate | PO number |
+| ------- | ------------- | ----------- | ------------------------- | ------------- | ----------- | -------------- | ------------- | --------- |
+|         | 0085648100305 | CENTRAL KMA | LILYS 40% SLTD ALMND CHOC | 637           | $ 0.61      | $ 388.57       | 0             |           |
+|         | 0085648100380 | CENTRAL KMA | LILYS DRK CHC CRMLZD SLTD | 688           | $ 0.61      | $ 419.68       | 0             |           |
+|         | 0085648100303 | CENTRAL KMA | LILYS ALMND 55% DARK CHOC | 560           | $ 0.61      | $ 341.60       | 0             |           |
+|         | 0085648100300 | CENTRAL KMA | LILYS 55% DARK CHOC BAR   | 415           | $ 0.61      | $ 253.15       | 0             |           |
+
+## Associated claims
+
+| Claim ID   | Claim type | Claim date | Claim amount Claim status | Claim requested By | Claim category |
+| ---------- | ---------- | ---------- | ------------------------- | ------------------ | -------------- |
+| No results |            |            |                           |                    |                |
+
+## Supporting documents
+
+| Document type | Document name | Uploaded by | Updated on | Buyer/ supplier | Document visibility |
+| ------------- | ------------- | ----------- | ---------- | --------------- | ------------------- |
+| No results    |               |             |            |                 |                     |
+
+## Approval history
+
+| Action date and time | Action taken | Actor | Approval type | Attached documents | Comments |
+| -------------------- | ------------ | ----- | ------------- | ------------------ | -------- |
+| No results           |              |       |               |                    |          |

tools/benchmark-harness/vendored/docling/md/issue-316-example.md

@@ -0,0 +1,379 @@
+ER 29,2
+
+162
+
+Received 4 October 2005 Revised 7 March 2006 Accepted 8 March 2006
+
+<!-- image -->
+
+Employee Relations Vol. 29 No. 2, 2007 pp. 162-177 q Emerald Group Publishing Limited 0142-5455 DOI 10.1108/01425450710719996
+
+<!-- image -->
+
+## Shift work interventions for reduced work-family conflict
+
+Marie Gee Wilson
+
+The University of Auckland Business School, Auckland, New Zealand
+
+## Andrea Polzer-Debruyne
+
+Department of Psychology, Massey University - Albany, NSMC, Auckland, New Zealand, and
+
+## Sophie Chen and Sonia Fernandes
+
+The University of Auckland Business School, Auckland, New Zealand
+
+## Abstract
+
+Purpose - This research aims to investigate the efficacy of family involvement in shift work training targeting both physiological and social coping strategies.
+
+Design/methodology/approach - The study utilized repeated surveys of work-family conflict (WFC) and family-work conflict (FWC) in a naturally occurring field experiment. Three small process manufacturing sites introduced training for shift workers, with or without family involvement, and with or without training on managing relational aspects of shift-work.
+
+Findings - The inclusion of social coping strategies combined with family involvement significantly reduced work-family conflict. Open response categories on the survey suggest that these reductions were due to the facilitation of a joint problem solving approach by family members. In contrast, employee focused training on physiological coping alone appears to increase family conflicts.
+
+Research limitations/implications - As a field study, this paper cannot control for the particularities of family situations. It should also be noted that the participants were all male, and results may have differed for female shift workers given differing family and work expectations.
+
+Practical implications - For employers and OSH officers, this research suggests that broader spectrum training may assist shift workers in managing the requirements and impact of unsociable hours of work. For the shift worker, the research reinforces the importance of family support and family involvement in moderating shift work's potentially negative effects.
+
+Originality/value - This is the first study to assess the impact of family involvement in training and development-based interventions. This paper provides a unique perspective on shift work interventions by documenting both content and process effects for shift work support.
+
+Keywords Shift work, Family, Training
+
+Paper type Research paper
+
+In discussing work-life balance, the focus is often on the amount of time spent at work, and flexibility of work time and place to accommodate family and other requirements. In both research and the popular literature, however, the focus of this balancing act is on a traditional 9-5 view of employment that spills over - in hours and energy - to a fairly traditional view of non-work life. The issue of balance may become more difficult, however, when the 'work' in work-life balance is a series of rotating or shifts
+
+This research was supported in part by a grant from the Foundation for Research, Science and Technology, New Zealand.
+
+that result in dynamic discontinuities between workers and the rest of their life. For the shift worker, the particular issues of work-life balance, stress and coping, are both more complex and more compelling.
+
+The term 'shift work' is used to refer to a way of organising the daily working hours in which different persons or teams work in succession to cover more than the traditional eight hours per day, up to and including the whole 24 hours (Costa, 2003). Consequently, the term 'shift work' does not include the typical 8am-5pm Monday to Friday working arrangements (Grosswald, 2002; Presser, 2003). There are literally dozens of ways to structure shifts. In general they can focus on including or excluding night work; they can include or exclude weekend work or parts thereof; they can vary concerning flexibility of working times (e.g. rotating, permanent, split shifts) or the regularity or irregularity of the shift cycle (Costa, 2003).
+
+Increasingly non-standard working hours such as shift work, weekend work and split shifts are becoming the norm in industrialised, Western societies. According to a survey on working conditions carried out in the European Union's 15 member countries (Boisard et al. , 2002), only 24 per cent of the working population are now engaged in so-called standard day work, that is between 7:30-8:00 am and 5:00-6:00 pm from Monday to Friday, and 18.8 per cent of the European work force is engaged in shift work that includes night work. As early as 1991, Presser (1995, cited in Grosswald, 2002) reported that approximately 45 per cent of Americans are employed under some kind of shift work conditions.
+
+The reasons for this increased shift work are two-fold and closely linked: there is the increased need for temporal flexibility of the organisation, as well as the economic necessities and choices for the individual. Temporal flexibility is seen as one of the milestones of labour flexibility on which most organisations are currently focused (Costa, 2003). In this context, shift work is a widely used tool enabling the organisation to be active around the clock in response to increasingly flexible market demands. This is progressively more the case not only in necessary social services (like hospitals, the police force, transport and electricity) or in highly technological industries (like chemical and steel industry, power plants or mining), but also to support productive and economic choices (for example bank branches opening late and on weekends, and extended hours for restaurants, news and entertainment industries).
+
+Closely linked to this organisational focus are the needs of the individual. On a rather worried note Presser's (2003) findings suggest that, at least in the SA, a large proportion of shift workers engage in this type of work because they could not get other jobs and their choices were limited. European research (Presser, 1987) has established similar findings, in that the ability to hold multiple jobs is one reason people engage in shift work. According to Finn (1981) 23 per cent of night shift workers and 19 per cent of evening shift workers had a second job, in comparison to 11 per cent of 'regular' day workers. Another more positive angle to shift work is suggested by Coleman's (1989) findings that some employees appreciate the possibility for shift work, as it allows them to take time off mid-week and pursue leisure activities without dealing with the large weekend crowds.
+
+In spite of shift work' s advantages and increasingly 'normality', temporal flexibility can still result in difficulties for the individual. These difficulties can often be health related (Costa, 1996; Finn, 1981; Owen, 1985), but also extend to individuals' participation in social events. Normal social patterns still tend to operate around the
+
+Shift work interventions
+
+traditional workday cycle, which effectively excludes shift workers (Henderson and Burt, 1998) and leads to difficulties in structuring family and social interactions (Knutson et al. , 1986; Simon, 1987).
+
+Night work causes a mismatch between the light/dark sleep/wake cycles and consequently disturbs the normal circadian rhythms of psycho-physiological functions (Folkard et al. , 1985; Minors and Waterhouse, 1986). These efforts tend to result in the so-called shift-lag syndrome (Costa, 2003), which is characterised by feelings of fatigue, sleepiness, disorientation, digestive troubles, irritability, poorer mental agility and reduced performance efficiency. Although shift-lag symptoms affect the individual directly in the first instance, they also have a wider impact on the family and social environment of the individual as well as on the organisation employing shift workers.
+
+People engaged in shift work are frequently 'out of sync' with society around them and can experience social marginalisation (Colligan and Rosa, 1990). This is especially true if they live in a family with school-aged children, as the social activities tend to be organised around the day-oriented rhythm of the general and school population. Time pressure can become a constant problem when shift workers attempt to organise family time tables with personal duties (e.g. school and house work) and the availability of community services (e.g. shop hours, transport, office hours). These time pressures can have negative influences on children's education, marital and parental roles, and relationships (Costa, 2003; Loudon and Bohle, 1997). Additionally, constraints on effective participation in social and domestic life can produce a sense of social alienation and represent a major source of role conflict for shift workers (Bohle and Quinlan, 2000).
+
+The main role conflict a shift worker will experience is that between the roles of work and those of the family. While this conflict is not limited to shift workers, it has repeatedly and clearly been linked to time issues - an aspect that characterises shift work like no other work environment (Keith and Schafer, 1980; Pleck et al. , 1980). The conflict between work and family roles has been conceptualised as consisting of two distinct but reciprocally linked pathways. On one hand, structural or developmental aspects of the family are increasingly recognised as having an impact on work behaviour. The inter-role conflict in which the demands of the family and the time devoted to it interfere with fulfilment of work-related responsibilities is termed family-work conflict or FWC (Frone et al. , 1992; Netemeyer et al. , 1996; Zedeck, 1992).
+
+On the other hand, participation in the work role may make full and satisfying participation in the family role more difficult. Demands of and time devoted to work can interfere with family-related responsibilities. This pathway is termed work-family conflict, WFC (Frone et al. , 1992; Greenhaus and Beutell, 1985; Netemeyer et al. , 1996). Both conflicts are distinct inter-role conflicts with different antecedents (Baltes and Heydens-Gahir, 2003; Greenhaus and Beutell, 1985). Both represent the degree to which roles and responsibilities from work and family domains are incompatible. This incompatibility is becoming an issue of concern as work and family life are no longer seen as separate segments in a person's life, but are conceptualised as closely linked aspects of single personal experience.
+
+Regardless of the direction of the conflict, any conflict between work and family roles can increase stress (Pisarski et al. , 1998) and is linked to job dissatisfaction, job burn out, and turnover (Burke, 1988; Frone et al. , 1992; Greenhaus, 1988) as well as to life and marital dissatisfaction (Greenhaus and Beutell, 1985; Gutek et al. , 1991). The
+
+links between the two conflicts had been demonstrated by Frone et al. (1992) and are explained as an example of the role spillover model (Barling, 1990). This model asserts that there is a significant similarity between what happens at work and in the family. It suggests that a person's work experiences influence his or her behaviour at home, influencing basic behaviours towards self and family members (Zedeck, 1992). In its positive expression, this model is the notion of positive relationships between work and family, for example that job satisfaction enhances family life. In its negative expression, the model asserts that negative experiences in family life, possibly as result of role conflict due to shift work, create negative attitudes that can be carried over to work life.
+
+Research into work-life balance and stress has established that conflict between home and family leads to negative job related attitudes, including reduced job satisfaction, increased tardiness, absenteeism, sickness, turnover and reduced performance levels (Cooper and Cartwright, 1994; Friedman and Greenhaus, 2000; Quick et al. , 1997). Frone et al. (1992) found that the relationship between work - family conflict and job related affect is not a direct one, but that it is mediated by the frequency of family - work conflict. Therefore, the family environment appears to play a central role when investigating the effects of shift work.
+
+## Interventions to improve coping by shift workers
+
+Stress research proposes that job stress intervention processes can be divided into three categories: those focusing on the individual (by learning to cope with stress), those focusing on the organisation (by changing the work situation, thus tackling the source of the problem) and those focusing on the individual-organisation interface (by increasing the employee's resistance to specific job stressors).
+
+Within these three focus points, stress management approaches generally concentrate on primary coping strategies (i.e. reduction of stressors such as work-family conflicts), or secondary coping strategies (i.e. altering employee responses to job stressors such as ways of dealing with work-family conflicts once they arise). (Discussion of tertiary coping strategies such as counselling and therapy is beyond the scope of this paper; for more elaborate reviews see Lazarus and Folkman, 1984.)
+
+Based on the accelerating social changes that necessitate shift work, it is safe to assume that the organisation-focused, primary intervention strategy of eliminating shift work is of little practical value. Although it is within the possibility of many organisations to minimise some of the negative aspects of shift work by changing from rotating shifts to permanent shifts (Tepas, 1993), research has shown that many of the negative consequences, especially the family related ones, remain valid for all types of shift work. Therefore, the focus will remain on the individual employees and their families when working with primary and secondary coping strategies.
+
+For the successful design and application of any coping strategies aimed at helping shift workers to effectively deal with the challenges of their working life, family support and help are of vital importance (Bohle and Tilley, 1998; Bostic, 1988). This importance of the family is underscored by Frone et al. (1992) who found that the relationship between work - family conflict and job related stress is not a direct one, but that it is mediated by the frequency of family - work conflict. Further, MacEwen and Barling (1998) suggest that employees with a high degree of family support are more protected from the effects of work - family conflicts than employees with low
+
+Shift work interventions
+
+levels of family support. This protection can be established on the practical level as well as on a psychological and emotional level. For example, families can be supportive by reducing the clash between work and non-work activities (and the frequency of FWC) by restructuring meals and social and familial activities to accommodate the shift worker (Bohle and Tilley, 1998). Additionally, having the understanding and support of the family as well as maintaining contact with other shift worker families can not only ease the practical burdens, but also the aspects of perceived social marginalisation and role conflict (Pisarski et al. , 2002). Moreover, proper support from family and friends at home has been found to enhance both adaptability and tolerance to shift work (Loudon and Bohle, 1997; Walker, 1985), two aspects feeding into job satisfaction and perceived work-life balance.
+
+As it is in the interest of the individual as well as the organisation to achieve adaptability to and tolerance of shift work, workplaces increasingly turn to introducing shift work preparation strategies. These strategies aim at directly benefiting the employee, therefore improving his or her job satisfaction and thus benefiting indirectly the organisation as well (Henderson and Burt, 1998). Shift worker education programmes are one such strategy that attempts to change shift worker behaviour within the framework of primary and secondary stress interventions. These programmes may provide both relevant information to employees (communication of news, knowledge and facts), as well as educate staff on how to cope with the demands of shift work. Education here is defined as developing information, facilitating learning, training and implementation (Tepas, 1993). Ideally, these strategy and life style coping education sessions are conducted on an on-going basis to keep shift workers constantly aware of problems associated with the stresses of shift work as well as with relevant coping strategies (Monk, 2000).
+
+Research in the effectiveness of shift worker education programmes has shown mixed results. Some literature reviews report only anecdotal evidence for the effectiveness of shift worker education programmes (Tepas, 1993). Shift workers may reject reparation strategies involving sleeping patterns and/or restrictions on caffeine intake as irrelevant to them (Wedderburn and Scholarios, 1993). In general, it has been argued that the effectiveness of intervention strategies largely depends on two characteristics. One of these is the relevance of the information the individual is given (Tepas, 1993). A clear focus on relevance of shift worker educational programmes to the employee situation has repeatedly been found to have a positive impact on acceptance of its message (Carlson, 1991). In addition, successful shift work education programmes must be relevant, practical as well as socially acceptable to the individual as well as the family members affected (Tepas, 1993). Generally, very few coping strategies have been found to work well without this family or social support (Monk, 2000). Since a large proportion of shift work stressors are related to the difficulties experienced when balancing work and family roles (Pleck et al. , 1980), it is reasonable to expect that employee change is more likely to occur if the training programmes are relevant to these aspects as well as to the physical issues of eating and sleeping routines.
+
+The second aspect increasing the effectiveness of shift work education initiatives is how skilled the shift worker is in using the given information (Tepas, 1993). In the case of shift work and family demands, this is probably not only an issue of the employee's skill in applying the information, but also the skill levels of family and friends of the employee who are also required to change behaviours. Therefore, it does appear to
+
+make sense that shift intervention programmes include family members as active participants (Tepas, 1993). Finally, as argued earlier, work and family demands can influence each other in both directions. Therefore, it is suggested that when evaluating shift-worker intervention strategies one needs to look at the effect these interventions have on both family-work conflict and work-family conflict. Due to the reciprocal, mediating effects these role conflicts have on each other, it can be argued that shift work intervention programmes involving family members and addressing both conflicts will have greater beneficial effects than interventions aiming at reducing only one of the conflicts. However, there is a clear lack of field experimental research into this area.
+
+The present study fills this gap by exploring, in a naturally occurring field setting, whether involvement of the family in shift work support training, and enlargement of the scope of training by inclusion of socio-emotional aspects of shift work, improves the work-family outcomes for shift workers.
+
+## Method
+
+The data was gathered through initial and six-monthly follow-ups at three industrial sites that adopted different interventions to improve job satisfaction and occupational safety and health for shift-workers. The research design is that of a naturally occurring field experiment, with repeated measures at three sites, each of which adopted a different approach to shift-worker training and development. The researchers were not involved in the interventions at these sites, but were there to collect longitudinal data on shift work patterns and impacts as part of a larger national study of shift workers over two decades of workplace reform.
+
+## Participants
+
+Participants in the study were employed as shift-workers in three continuous processing (metallurgy) industrial sites. Each site had between 170 and 210 shift employees, generally in direct production or production-supervision roles. The factory workers were employed on eight-hour rotating shifts, with very little overtime. Each site surveyed all shift-workers by asking for completion at the shift break. Both management and the union at the site supported the research programme, and completion rates were high (over 90 per cent in each administration).
+
+Across the three sites there were 503 participants in total, divided almost equally between sites. A total of 85.9 per cent had partner/spouse and all had families in the area; only participants with partners and families were included in this aspect of the study, consistent with prior research on work-family conflict (Baltes and Heydens-Gahir, 2003), resulting in a final sample of 432. Participants were all male, with an age range of 28-61, and a mean age of 41.33 years. Participants had over eight years of service on average, with a range of two to 18 years of service. There were no statistically significant demographic differences between work sites.
+
+## Interventions
+
+While acknowledging that there were significant issues associated with shift-work, management at each plant took different approaches to providing support to shift-workers. At site A, shift workers were seen as requiring health and safety support, as work-family issues were not seen as appropriate for workplace discussion.
+
+Shift work interventions
+
+## ER 29,2
+
+## 168
+
+Accordingly, this site provided two half-day sessions in maintaining alertness, with a focus on diet and exercise. The on-site industrial nurse provided the training. Extending access to an occupational nurse into the evening shift supported this initiative. This forms our de facto control group for family inclusion.
+
+In site B, training and development focused on a broader range of behaviours and specifically dealt with diet, exercise and sleep both at home and at work, and with managing time and priorities between work and family. The training occurred in two half-day sessions, conducted by the industrial nurse and an outside trainer, with the nurse 'on call' for further enquiries. This provided a training condition addressing the work-family aspect as well as family-work issues, but without active involvement of the families in the training process.
+
+In Site C, the same training materials and trainers were used, but shift-workers were asked to attend with their partners/spouses. The training sessions were each one hour longer to accommodate more group discussions and questions. Ongoing support was provided with handouts and an ongoing newsletter that was sent to workers' homes. This provided a training condition addressing work-family aspects as well as family-work issues and included active family involvement in the training.
+
+## Instrumentation
+
+The data on work-family interaction was gathered as part of a larger survey project on consequences of shift-work. This portion of the research was assessed using the five-item work-family conflict and five-item family-work conflict scales (Netemeyer et al. , 1996). The scale items appear below. Participants were asked to respond using a seven-point Likert scale with values ranging from 1 (strongly disagree) to 7 (strongly agree). Coefficient alpha in this study was 0.91 for the WF conflict scale, and 0.93 for the FW conflict scale.
+
+Items in the WF conflict scale were:
+
+- (1) The demands of my work interfere with my home and family life
+- (2) The amount of time my job takes up makes it difficult to fulfil my family responsibilities.
+- (3) Things I want to do at home do not get done because of the demands my job puts on me.
+- (4) My job produces strain that makes it difficult to fulfil family duties.
+- (5) Due to work-related duties, I have to make changes to my plans or family activities.
+
+Items in the FW conflict scale were:
+
+- (1) The demands of my family or spouse/partner interfere with work-related activities.
+- (2) I have to put off doing things at work because of demands on my time at home.
+- (3) Things I want to do at work do not get done because of the demands of my family or spouse-partner.
+- (4) Myhome life interferes with my responsibilities at work such as getting to work on time, accomplishing daily tasks, and working overtime.
+- (5) Family-related strain interferes with my ability to perform job-related duties.
+
+35-
+
+30
+
+25
+
+20
+
+15
+
+10
+
+5
+
+0
+
+·
+
+- ·.-- Control
+
+·-
+
+W-L Training
+
+In addition to the scales, participants were provided with open-response questions regarding both positive and negative aspects of their work and family interaction:
+
+- . What are the most positive impacts of work on your family?
+- . What are the most negative impacts of work on your family?
+- . What are the most positive impacts of family on your work?
+- . What are the most negative impacts of family on your work?
+
+Responses to the open ended questions were coded and analysed thematically and then assessed through frequency counts.
+
+## Results
+
+This research assessed whether work-life balance training improves shift-workers' experience of work and family, and if this is enhanced by family participation in the training. The dependent variables across all three conditions are composite scores on WFC and FWC. A 3 £ 2 £ 3 multivariate analysis of variance (MANOVA), with repeated measures was performed to test the impact of the training.
+
+## Impact of training on WFC and FWC
+
+The mean scores and standard deviations for WFC before the interventions were similar, with Site B reporting the highest mean score (28.5, std 2.6), compared to Site A (27.1, std 2.1) and site C (26.6, std 2.4). Although the mean WFC scores declined in all three sites, there were noticeable differences in the magnitude of this decline. For Site A the difference in mean WFC score was 2.4 points, for Site B it was 10.9 points and for Site C 13.4 points.
+
+Although all three sites reported a decrease in work-family conflict after the training at Time 2, this decrease was the strongest for Site C, where the family had been involved in the training. The decrease was least at Site A, where training was focused on diet and sleeping pattern advice to shift workers only. These results are graphically summarised in Figure 1. Analysis of variance underscores a significant interaction effect for training type by family involvement on work-family conflict, as outlined in Table I. The data suggests that involving the family in training and development
+
+<!-- image -->
+
+Shift work interventions
+
+169
+
+Figure 1. Impact of training and family involvement on WFC
+
+FWC Scores
+
+18
+
+16
+
+14
+
+12
+
+10
+
+ER 29,2
+
+4
+
+2
+
+170
+
+1
+
+Table I. MANOVA: effect of work-life training and family involvement on WFC
+
+Figure 2. Impact of training and family involvement on FWC
+
+.. -·.-- Control
+
+W-L Training focused on a broader range of relevant behaviours had the most significant impact on the reduction of WFC.
+
+For the measure of FWC the mean scores were noticeably lower than those reported for WFC. Before the interventions the FWC mean scores and standard deviations were, again, similar across sites, with Site C reporting the highest mean score (15.8, std 1.6) compared with Site A (14.9, std 1.9) and Site B (14.2, std 2.2). After the interventions, the Site C average score was lower than before (10.2, std 1.8) as was the score of site B (13.9, std 2.5). Site A, however, reported a higher mean score than before the health advice treatments were introduced (16.1, std 1.8). (Refer to Figure 2 for visual summary).
+
+The multivariate analysis results are also less pronounced for FWC; only the interaction of family and training is significant at the 0.05 level and there are no signficant main effects for training type or family involvement (Table II).
+
+For FWC, however, significant differences are found between the control and the family training site post-intervention ð t ð 162 Þ ¼ 2 5 : 714 ; p , 0 : 01 ; n 2 ¼ 0 : 42 Þ ; consistent with the interaction effect of training and family involvement. Taken together, the survey results suggest that involving the family in training and development focused on a broader range of relevant behaviours, rather than physiological aspects alone, improves outcomes in both FWC and WFC for shift workers.
+
+| Effects/variables (within subject)                       | Multivariate F ð n ¼ 432 Þ                            | Uni-variate F ð n ¼ 432 Þ                            |
+| -------------------------------------------------------- | ----------------------------------------------------- | ---------------------------------------------------- |
+| Training Family nvolvement Training £ family involvement | 6.988 \* _ df ¼ 1 5.820 _ _ df ¼ 1 16.334 _ \* df ¼ 2 | 23.112 \* _ df ¼ 1 18.749 _ _ df ¼ 1 13.709 _ df ¼ 2 |
+| Notes: _ p , 0.05; _ \* p , 0.01                         |                                                       |                                                      |
+
+<!-- image -->
+
+## Open text responses
+
+The four open-ended text response questions were content analysed and categorised by the researchers and an independent evaluator, who had been unaware of the aims and the content of the study. Inter-rater reliability across all text coding was calculated at 0.89.
+
+WFC was explored through responses to the questions:
+
+- . What are the most positive impacts of work on your family?
+- . What are the most negative impacts of work on your family?
+
+Respondents across all three sites at the beginning of the study expressed that the rotating shifts and monthly four days in a row off that were part of their shift structures, provided them with time to get more important things done around the house or to take a break with their families (217 comments). This was the only response where the working status of the partner played a role, as coordinating holiday or respite schedules with a second employer was seen as difficult by workers across all three sites, particularly as the partner was more likely to use much of their leave entitlements to address family needs that the shift worker was not able to accommodate. They also suggested that shift work allows them to provide a good standard of living for themselves and their families (331 comments). Negative impacts included (in order of frequency), constant tiredness (272 comments), being 'out-of-sync' with partner and children's schedules (177 comments), not having a social life (145 comments), and missing major events, such as birthdays, school events, and sporting events (111 comments).
+
+The number of positive comments made after the intervention remained the same for Site A, while it decreased for Site B ( 2 5.4 per cent) and increased at Site C ( þ 12 per cent). Overall, the number of negative impacts listed declined by about 50 per cent in the two family oriented training conditions (Sites B and C) when measured for the second time. The overall decrease in negative impacts reported for Site A, with the health-only training, was only 5.4 per cent. In particular, tiredness decreased across all three sites. In all conditions, being 'out-of-sync' with the family and missing important family events were also mentioned less than in the time before the interventions. Going against this trend, at Site B the number of comments related to no or disrupted social life increased by 13.5 per cent (see Table III).
+
+| Effects/variables (within subject)     | Multivariate F ð n ¼ 432 Þ | Uni-variate F ð n ¼ 432 Þ |                             |
+| -------------------------------------- | -------------------------- | ------------------------- | --------------------------- |
+| Training Training £ family involvement | 1.55, ns df ¼ 1 2.998 \*   | 1.42, ns df ¼ 1 2.10, ns  | Table II. MANOVA: Effect of |
+| Family involvement                     | 1.99, ns df ¼ 1            | 1.07, ns df ¼ 1           |                             |
+| Notes: _ p , 0.05; _ \* p , 0.01       |                            |                           | on FWC                      |
+
+Shift work interventions
+
+| ER 29,2                 |                                                                                             | Site A before/after no. of comments | Site B before/after no. of comments | Site C before/after no. of comments |
+| ----------------------- | ------------------------------------------------------------------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- |
+|                         | WFC - positive: Able to have good standard of living Longer periods of time off with family | 101/98 68/70                        | 110/104 75/71                       | 120/122 74/84                       |
+|                         | Total                                                                                       | 169/169                             | 185/175                             | 194/206                             |
+| 172                     | Change in%                                                                                  | þ / 2 0%                            | 2 5.4%                              | þ 12%                               |
+|                         | WFC 2 negative: Feeling tired and grouchy                                                   | 81/76                               | 90/65                               | 101/62                              |
+| Table III.              | Out of synch with family; off cycle                                                         | 65/60                               | 60/55                               | 52/38                               |
+| Frequencies and changes | No or disrupted social life                                                                 | 42/38                               | 37/41                               | 66/47                               |
+| in WFC-related          | Missed family events                                                                        | 36/38                               | 24/20                               | 51/28                               |
+| comments before and     | Total                                                                                       | 224/212                             | 211/181                             | 270/175                             |
+| after the interventions | Change in %                                                                                 | 2 5.4%                              | 2 14.2%                             | 2 35.3%                             |
+
+In response to the spillover effects of family on work, the level of expressed conflict on FWCwaslower for all groups, and this was reflected in far fewer comments in the open section of the survey to the following two questions:
+
+- (1) What are the most positive impacts of family on your work?
+- (2) What are the most negative impacts of family on your work?
+
+The 244 total responses received at Time 1 for these questions (222 at Time 2) were grouped into one positive (family understands and supports me) and one negative category (there are fights within the family about work schedules).
+
+The number of positive comments made increased across all three conditions from 20 per cent at Site A to 48.4 per cent at Site B and even 108 per cent at Site C.
+
+However, the most striking difference across conditions and time was the reduction in listing of family arguments that carried over into work from the first to second measurement, particularly in the training scenario including the family. While this was reduced in all conditions ( 2 15 per cent at Site A, 2 54.6 per cent at Site B), it disappeared entirely from the family training scenario (Site C) across the measurement period. Of the respondents, seven specifically noted that completing the training with their partners meant that they now approached this as a problem to be solved, and they felt that they were working together more effectively with balancing work and family commitments than they ever had before. These results are summarised in Table IV.
+
+|                                    |                                                 | Site A before/after no. of comments | Site B before/after no. of comments | Site C before/after no. of comments |
+| ---------------------------------- | ----------------------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- |
+| Table IV.                          | FWC - positive: Family supports and understands | 25/30                               | 31/46                               | 36/75                               |
+| Frequencies and changes            | Change in%                                      | þ 5%                                | þ 48.4%                             | þ 108%                              |
+| in WFC-related comments before and | FWC - negative: Fights about work schedule      | 60/51                               | 44/20                               | 48/0                                |
+| after the interventions            | Change in %                                     | 2 15%                               | 2 54.6%                             | 2 100%                              |
+
+In summary, the quantitative and qualitative analyses of the collected data indicate that all three interventions can contribute to reductions in WFC as well as FWC, although there are some aspects of the training that tend to heighten awareness rather than resolve the problems directly, as we see in the increase in negative factors noted at Site B. However, the largest positive effect arises from the involvement of the families in training and development focused on a broader range of relevant behaviours and risk factors.
+
+## Discussion
+
+Shift work has its positive sides as well as its conflict aspects. The present study illustrated, that the traditional positive aspects of shift work - flexibility and pay were as much part of life for the employees at all three sites investigated as were the negative sides. These negative aspects had been found to fall into two areas of conflict that can have effects in two unique but related directions: from work into the family of the shift worker, and from the family into the work place. The present research aimed at exploring the differences three types of training can make on reported work-family conflict and family-work conflict for shift workers.
+
+The importance of family involvement in awareness creation, training or behaviour change for shift workers had been clearly demonstrated by the results relating to the two sites introducing more extensive behaviour modification training. As previous research indicated, the family environment appears to play a central role when trying to alleviate the effects of shift work. The highly significant result for the interaction effect for training by family involvement on work-family conflict is in support of previous studies suggesting that, as the family bears the brunt of a shift worker's conflicts, the family is also the deciding factor in effectiveness of shift worker interventions. Even the best-designed and structured shift worker training does indeed need to involve the family. The family is the support network for the shift worker, which can help managing the work-family conflicts by sharing the same skills and an understanding of the issues involved.
+
+The results further indicate that traditional interventions in the form of giving health focused information on how to maintain alertness during shift work as well as introducing a healthy diet and exercise, can reduce the level of WFC and FWC experienced. However, these changes appear to be relatively small and, when considering only the FWC mean scores, the degree of family work conflict may increase. It is possible to suggest that this increase in FWC is due to the shift worker's learning about different eating and sleeping patterns than those currently present in the family. If the shift worker suggests that changes to diet and household routines are implemented, conflict may be heightened by a lack of family awareness of work-related health requirements. It is also possible that the families feel the changes to be not feasible or a priority in their lives. Future studies might clarify this point through interviews and focus group discussions with the effected employees and their families. As this study is limited to male shift workers, we cannot assess the interaction of gender roles on work-family. We are also limited by the scope of the study; as this is a field study, we have no control over other sources of variance at home or in the work place.
+
+The reported increase in conflicts regarding disrupted family life in Site B (training without family involvement) may arise from one of two possible causes. First, it is
+
+Shift work interventions
+
+conceivable that in the time after the intervention some of the respondents did face actual events such as overtime required or scheduling conflicts. These may or may not have been out of the ordinary, but after talking about these conflicts in the training they might have come more to the attention of the shift workers than before, and thus be reported more often. On the other hand, it is possible that the shift workers spoke at home with their families about shift work in general, and the training in particular, and thus surfaced the topic, and discovered more family distress than they had previously been aware of. These conversations might have brought the issues of limited or interrupted social lives to the forefront of the shift workers' minds and into the open-ended question responses. Again, future studies could explore these possibilities through in-depth interviews and focus groups with shift workers and their family members.
+
+Overall, the most encouraging finding is that a total reduction in fights about work schedules and an increase in family understanding of the shift worker's support requirements is possible if the training focuses on a broad range of behaviours, acknowledges family-work issues, and explicitly involves the family in the learning process. In combination with the clear results in reduction of work-family conflict of this type of intervention, it clearly supports the notion that family, shift worker, and workplace form an interdependent unit. If employers wish to increase performance in one aspect (i.e. at work), they are well advised to explicitly address the other two as well (i.e. work with the employee and the family on managing the complexities involved). From the perspective of the employee, merely understanding shift work's negative effects is not enough; effective support involves family awareness and engagement.
+
+The pressures of work and family are accelerating and families, who have traditionally borne the brunt of the conflicts experienced between home and work, can do little more to sustain balance. Therefore, in addition to acknowledging the necessity and sometimes welcoming the new employment patterns of shift work, employees are increasingly asking for a more balanced approach to work and social life. Consequently, the challenge for society as well as for organisations is to find the best possible way to deal with these, sometimes-conflicting demands made on the time and energy of shift workers. The main difficulty in this challenge is to find ways to enable the employee to cope with the stresses resulting from the increased temporal flexibility of social and work organisations (Costa, 2003). While other research has suggested that employees are better able to balance shift work and home life demands following lifestyle training if it addresses issues of concern to the shift worker and includes socialising strategies (Henderson and Burt, 1998; Johnson, 2004), we have added to this knowledge base by documenting reduced work-life stress when lifestyle training involves family members.
+
+## References
+
+- Baltes, B. and Heydens-Gahir, H. (2003), 'Reduction of work-family conflict through the use of selection, optimization and compensation behaviours', Journal of Applied Psychology , Vol. 88 No. 6, pp. 1005-18.
+- Barling, J. (1990), Employment, Stress and Family Functioning , Wiley, Chichester.
+- Bohle, P. and Quinlan, M. (2000), Managing Occupational Health and Safety: A Multidisciplinary Approach , Macmillan Publishers, South Yarra.
+
+- Bohle, P. and Tilley, A. (1998), 'Early experience of shift work: influences on attitudes', Journal of Occupational and Organizational Psychology , Vol. 71 No. 1, pp. 61-79.
+- Boisard, P., Cartron, D., Gollac, M. and Valeyre, A. (2002), Temps et travail: la duree du travail , European Foundation for the Improvement of Living and Working Conditions, Dublin.
+- Bostic, B. (1988), 'Family adjustment to rotating shift work: problems, process and relationships', unpublished thesis, The University of Alabama, Tuscaloosa, AL.
+- Burke, R.J. (1988), 'Some antecedents and consequences of work-family conflict', Journal of Social Behavior and Personality , Vol. 3, pp. 287-302.
+- Carlson, M.L. (1991), 'Sleep management training: an intervention program to improve the sleep of shift workers', Sleep Research , Vol. 20, p. 115.
+- Coleman, R. (1990s), 'Shift work scheduling for the 1990s', Personnel , Vol. 66 No. 1, pp. 10-16.
+- Colligan, M.J. and Rosa, R.R. (1990), 'Shift work effects on social and family life', Occupational Medicine , Vol. 5, pp. 315-22.
+- Cooper, C.L. and Cartwright, S. (1994), 'Healthy mind, healthy organisation: a provocative approach to occupational stress', Human Relations , Vol. 47, pp. 455-70.
+- Costa, G. (1996), 'The impact of shift and night work on health', Applied Ergonomics , Vol. 271, pp. 9-16.
+- Costa, G. (2003), 'Shift work and occupational medicine: an overview', Occupational Medicine , Vol. 53, pp. 83-8.
+- Finn, P. (1981), 'The effects of shift work on the lives of employees', Monthly Labour Review , Vol. 104 No. 10, pp. 31-6.
+- Folkard, S., Waterhouse, J.M. and Minors, D.S. (1985), 'Chronobiology and shift work: current issues and trends', Chronobiologica , Vol. 12, pp. 31-54.
+- Friedman, S.D. and Greenhaus, J.H. (2000), Work and Family - Allies or Enemies? , Oxford University Press, New York, NY.
+- Frone, M., Russell, M. and Cooper, M. (1992), 'Antecedents and outcomes of work-family conflict: testing a model of the work-family interface', Journal of Applied Psychology , Vol. 77, pp. 65-78.
+- Greenhaus, J.H. (1988), 'The intersection of work-family roles: individual, interpersonal, and organizational issues', Journal of Social Behavior and Personality , Vol. 3, pp. 23-44.
+- Greenhaus, J. and Beutell, N. (1985), 'Sources of conflict between work and family roles', Academy of Management Review , Vol. 10, pp. 76-88.
+- Grosswald, B. (2002), Effects of Shift Work on Family Relationships , University of California Press, Berkeley, CA.
+- Gutek, B.A., Searle, S. and Klepa, L. (1991), 'Rational versus gender role expectations for work-family conflict', Journal of Applied Psychology , Vol. 76, pp. 560-8.
+- Henderson, N.J. and Burt, C.D.B. (1998), 'An evaluation of the effectiveness of shift work preparation strategies', New Zealand Journal of Psychology , Vol. 271, pp. 13-20.
+- Johnson, G. (2004), 'The night shift: training today', Training , Vol. 41 No. 5, p. 18.
+- Keith, P. and Shafer, R. (1980), 'Role strain and depression in two-job families', Family Relations , Vol. 29, pp. 483-8.
+- Knutson, A., Akerstedt, T. and Orth-Gomer, K. (1986), 'Increased risk of ischaemic heart disease in shift workers', Lancet , Vol. 12, pp. 89-92.
+- Lazarus, R.S. and Folkman, S. (1984), Stress, Appraisal and Coping , Springer, New York, NY.
+
+## Shift work interventions
+
+| ER 29,2 | Loudon, R. and Bohle, P. (1997), 'Work/non-work conflict and health in shiftwork: relationships with family status and social support', International Journal of Occupational and Environmental Health , Vol. 3, pp. 571-7. |
+| ------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| 176     | Minors, D.S. and Waterhouse, J.M. (1986), 'Circadian rhythms and their mechanisms', Experientia , Vol. 42, pp. 1-13.                                                                                                        |
+|         | Monk, T. (2000), 'What can the chronobiologist do to help the shift worker?', Journal of Biological Rhythms , Vol. 15 No. 2, pp. 86-94.                                                                                     |
+|         | Netemeyer, R., Boles, J. and McMurrian, R. (1996), 'Development and validation of work-family conflict and family-work conflict scales', Journal of Applied Psychology , Vol. 81 No. 4, pp. 400-10.                         |
+|         | Owen, J. (1985), 'Changing from a rotating to a permanent shift system in the Detroit police department: effects on employee attitudes and behaviour', Labor Law Journal , Vol. 368, pp. 484-90.                            |
+|         | Pisarski, A., Bohle, P. and Callan, V. (1998), 'Work/non-work conflict and health in shiftwork: effect of coping strategies and social support', Scandinavian Journal of Work Environment and Health , Vol. 243, pp. 141-5. |
+|         | Pleck, J., Staines, G. and Lang, L. (1980), 'Conflicts between work and family life', Monthly Labor Review , Vol. 103, pp. 29-32.                                                                                           |
+|         | Presser, H. (1987), 'Work shifts of full-time dual earner couples: patterns and contrasts by sex of spouse', Demography , Vol. 24 No. 1, pp. 99-112.                                                                        |
+|         | Presser, H. (2003), Working in a 24/7 Economy: Challenges for American Families , Russell Sage Foundation, New York, NY.                                                                                                    |
+|         | Quick, J.C., Quick, J.D., Nelson, D.L. and Hurrell, J.J. (1997), Preventive Stress Management in Organizations , American Psychological Association, Washington, DC.                                                        |
+|         | Simon, B.L. (1987), Never Married Women , Temple University Press, Philadelphia, PA.                                                                                                                                        |
+|         | Tepas, D.I. (1993), 'Educational programmes for shift-workers, their families, and prospective shift-workers', Ergonomics , Vol. 361 No. 3, pp. 199-209.                                                                    |
+|         | Walker, J. (1985), 'Social problems of shift work', in Folkard, S. and Monk, T.H. (Eds), Hours of Work: Temporal Factors in Work Scheduling , Wiley, New York, NY, pp. 340-87.                                              |
+|         | Wedderburn, A.A. and Scholarios, D. (1993), 'Guidelines for shift workers: trials and errors', Ergonomics , Vol. 36, pp. 211-7.                                                                                             |
+|         | Zedeck, S. (1992), 'Introduction: exploring the domain of work and family careers', in Zedeck, S. (Ed.), Work, families, and organizations , Jossey-Bass, San Francisco, CA, pp. 1-32.                                      |
+
+## Further reading
+
+- Monk, T., Folkard, S. and Wedderburn, A. (1996), 'Maintaining safety and high performance on shift work', Applied Ergonomics , Vol. 27, pp. 17-23.
+
+## About the authors
+
+Dr Marie Wilson is Professor of Management at The University of Auckland Business School. Her research and teaching is focused on organizational and individual behaviour in the context of work, particularly on organizational citizenship and selection-attraction, as well as reactions to 'new' forms of work and career. In addition to her academic career, Dr Wilson has over 20 years
+
+experience in senior management roles, primarily in the IT industry. Dr Wilson is the corresponding author and can be contacted at: <m.wilson@auckland.ac.nz>
+
+Andrea Polzer-Debruyne is currently completing her PhD in Organisational Psychology at Massey University, Albany. She explores the limitations of the Theory of Planned Behaviour when explaining cyber-loafing at work. Andrea Polzer-Debruyne has lectured at Auckland University, Massey University and Auckland University of Technology in Human Resource Management and Organisational Psychology. She has an extensive working background in the areas of Human Resources and Training, and is co-author in several articles on work-life balance published in NZ practitioner journals.
+
+Sophie Chen and Sonia Fernandes are research assistants in the Department of Management and Employment Relations at The University of Auckland Business School. Their research focus is human resource management, with a particular focus on employment patterns and impacts.
+
+Shift work interventions
+
+Reproducedwithpermissionofthecopyrightowner.Further reproduction prohibited without permission.

tools/benchmark-harness/vendored/docling/md/issue-461-example.md

@@ -0,0 +1,221 @@
+性别: 男
+
+年龄: 50岁
+
+送检科室:
+
+采样时间: 2021-06-04 09:00
+
+送检时间:2021-06-04 19:38
+
+实验编号:
+
+样本类型:EDTA抗凝血
+
+样本状态: 正常
+
+住院/门诊号:
+
+采样时间: 2021-06-04 09:00
+
+送检时间:2021-06-04 19:38
+
+实验编号:
+
+临床诊断:
+
+样本类型:EDTA抗凝血
+
+样本状态: 正常
+
+项目 白细胞计数(WBC) 中性粒细胞计数(NEU＃) 淋巴细胞计数(LYM#) 单核细胞计数(MON#) 嗜酸性粒细胞计数(EOS#) 嗜碱性粒细胞计数(BAS#) 中性粒细胞百分比(NEU%) 淋巴细胞百分比(LYM%) 单核细胞百分比(MON%) 嗜酸性粒细胞百分比(EOS%) 嗜碱性粒细胞百分比(BAS%) 红细胞计数(RBC) 血红蛋白(HGB) 红细胞压积(HCT) 平均红细胞体积(MCV) 平均红细胞血红蛋白含量(MCH) 平均红细胞血红蛋白浓度(MCHC) 红细胞分布宽度标准差(RDW-SD) 红细胞分布宽度变异系数(RDW-CV) 平均血小板体积(MPV) 血小板压积(PCT) 血小板计数(PLT) 建议与解释: 无 ----------以下空白----------
+
+检验方法
+
+提示
+
+结果
+
+单位
+
+参考范围
+
+仪器法
+
+↓
+
+3.9
+
+E+9/L
+
+[4.0-10.0]
+
+仪器法
+
+2.33
+
+E+9/L
+
+[1.8-6.3]
+
+仪器法
+
+1.16
+
+E+9/L
+
+[1.1-3.2]
+
+仪器法
+
+0.25
+
+E+9/L
+
+[0.1-0.6]
+
+仪器法
+
+0.12
+
+E+9/L
+
+[0.02-0.52]
+
+仪器法
+
+0.030
+
+E+9/L
+
+[0-0.06]
+
+仪器法
+
+59.6
+
+%
+
+[40-75]
+
+仪器法
+
+29.9
+
+%
+
+[20.0-50.0]
+
+仪器法
+
+6.5
+
+%
+
+[3.0-10.0]
+
+仪器法
+
+3.1
+
+%
+
+[0.4-8.0]
+
+仪器法
+
+0.90
+
+%
+
+[0-1.0]
+
+仪器法
+
+5.37
+
+E+12/L
+
+[4.3-5.8]
+
+仪器法
+
+159
+
+g/L
+
+[130-175]
+
+仪器法
+
+47.6
+
+%
+
+[40.0-50.0]
+
+仪器法
+
+88.6
+
+fL
+
+[82.0-100.0]
+
+仪器法
+
+29.5
+
+Pg
+
+[27.0-34.0]
+
+仪器法
+
+333
+
+g/L
+
+[316-354]
+
+仪器法
+
+42.2
+
+fL
+
+[35.0-56.0]
+
+仪器法
+
+13.4
+
+%
+
+[11.0-16.0]
+
+仪器法
+
+↑
+
+13.2
+
+fL
+
+[6.5-12.0]
+
+仪器法
+
+0.198
+
+%
+
+[0.108-0.282]
+
+仪器法
+
+149
+
+E+9/L
+
+[125-350]

tools/benchmark-harness/vendored/docling/md/issue-463-example.md

@@ -0,0 +1,39 @@
+## THE GRASSHOPPER
+
+A grasshopper spent the summer hopping about in the sun and singing to his heart's content. One day, an ant went hurrying by, looking very hot and weary.
+
+## Header 1
+
+「私は冬の餌を集めています。同じことをすることをお勧めします」 とアリは言いました。 そして彼女は去り、他のアリが彼らの店に食 べ物を運ぶのを手伝いました。 バッタはホッピングと歌を続けまし た。 冬が来ると、地面は雪で覆われていました。 バッタには食べ 物がなく、お腹がすいた。 それで彼はアリのところへ行き、食べ物
+
+Header 1.1 "Why are you working on such a lovely day?" Said the grasshopper. を求めました . Header 1.2
+
+"¿Qué hiciste todo el verano cuando estábamos trabajando para recolectar nuestra comida?" dijo una de las hormigas. "Estaba ocupado saltando y cantando", dijo el saltamontes. "Bueno", dijo la hormiga, "si saltas y cantas todo el verano, y no trabajas, entonces debes morir de hambre en el invierno".
+
+Y se fue, ayudando a las otras hormigas a llevar comida a su tienda. El saltamontes siguió saltando y cantando. Cuando llegó el invierno, el suelo estaba cubierto de nieve. El saltamontes no tenía comida y tenía hambre. Así que fue a las hormigas y les pidió comida.
+
+## Header 2
+
+| Header 2.1                                                        | Header 2.3                                                                                                                      |
+| ----------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
+| In another moment. Down went Alice after                          | The rabbit-hole went straight on like a tunnel for some way, and then dipped                                                    |
+| it.                                                               | The rabbit-hole went straight on like a tunnel for some way, and then dipped                                                    |
+| Header 2.2                                                        | suddenly down,                                                                                                                  |
+| Never once considering how in the world she was to get out again. | So suddenly that Alice had not a moment to think about stopping herself before she found herself falling down a very deep well. |
+
+| Header | Header | Header |
+| ------ | ------ | ------ |
+| Cell   | Cell   | Cell   |
+| Cell   | Cell   | Cell   |
+| Cell   | Cell   | Cell   |
+| Cell   | Cell   | Cell   |
+
+| Cell | Cell | Cell |
+| ---- | ---- | ---- |
+| Cell | Cell | Cell |
+
+| Header | Header | Header |
+| ------ | ------ | ------ |
+| Cell   | Cell   | Cell   |
+
+Noise, should be ignore

tools/benchmark-harness/vendored/docling/md/issue-466-example.md

@@ -0,0 +1,35 @@
+Test table extraction with mixed strategy 'lines' and 'text'
+
+Check for last line of each detected table. Last column is thinner to avoid adding noise to extraction settings.
+
+Reference table
+
+| T0-C0      | T0-C1      | T0-C2      |
+| ---------- | ---------- | ---------- |
+| T0-00      | T0-01      | T0-02      |
+| T0-10      | T0-11      | T0-12      |
+| T0-20-last | T0-21-last | T0-22-last |
+
+No horizontal lines
+
+| T1-C0      | T1-C1      | T1-C2      |
+| ---------- | ---------- | ---------- |
+| T1-00      | T1-01      | T1-02      |
+| T1-10      | T1-11      | T1-12      |
+| T1-20-last | T1-21-last | T1-22-last |
+
+No vertical lines
+
+| T2-C0      | T2-C1      | T2-C2      |
+| ---------- | ---------- | ---------- |
+| T2-00      | T2-01      | T2-02      |
+| T2-10      | T2-11      | T2-12      |
+| T2-20-last | T2-21-last | T2-22-last |
+
+Light table style
+
+| T3-C0      | T3-C1      | T3-C2      |
+| ---------- | ---------- | ---------- |
+| T3-00      | T3-01      | T3-02      |
+| T3-10      | T3-11      | T3-12      |
+| T3-20-last | T3-21-last | T3-22-last |

tools/benchmark-harness/vendored/docling/md/issue-53-example.md

@@ -0,0 +1,115 @@
+## 1.1 JAL Group International Passenger Traffic Data
+
+|                | Intl Pax Traffic | Intl Pax Traffic | Intl Pax Traffic | Intl Pax Traffic | Intl Pax Traffic | Intl Pax Traffic | Intl Pax Traffic |
+| -------------- | ---------------- | ---------------- | ---------------- | ---------------- | ---------------- | ---------------- | ---------------- |
+|                | Pax              | y.o.y(%)         | RPK（000's）     | y.o.y(%)         | ASK（000's)      | y.o.y(%)         | L/F(%)           |
+| FY2013         | 7,723,293        | 102.6            | 35,390,384       | 104.0            | 46,235,058       | 103.3            | 76.5             |
+| FY2014         | 7,793,704        | 100.9            | 36,109,588       | 102.0            | 47,696,816       | 103.2            | 75.7             |
+| Apr-2015       | 653,278          | 107.5            | 2,958,643        | 108.7            | 3,951,483        | 103.0            | 74.9             |
+| May-2015       | 686,908          | 110.9            | 3,201,403        | 110.0            | 4,118,309        | 103.8            | 77.7             |
+| Jun-2015       | 667,181          | 108.0            | 3,198,199        | 107.9            | 3,938,037        | 100.4            | 81.2             |
+| FY15 1st Q TTL | 2,007,367        | 108.8            | 9,358,245        | 108.9            | 12,008,829       | 102.4            | 77.9             |
+| Jul-2015       | 698,352          | 104.5            | 3,297,825        | 105.7            | 4,056,445        | 99.0             | 81.3             |
+| Aug-2015       | 721,817          | 99.7             | 3,386,829        | 101.2            | 4,104,459        | 99.1             | 82.5             |
+| Sep-2015       | 665,754          | 101.1            | 3,266,736        | 104.6            | 4,070,863        | 101.2            | 80.2             |
+| FY15 2nd Q TTL | 2,085,923        | 101.7            | 9,951,390        | 103.8            | 12,231,767       | 99.8             | 81.4             |
+| Oct-2015       | 684,283          | 104.9            | 3,328,350        | 108.3            | 4,101,669        | 100.9            | 81.1             |
+| Nov-2015       | 642,168          | 102.9            | 3,079,143        | 106.3            | 3,934,714        | 101.7            | 78.3             |
+| Dec-2015       | 647,152          | 101.6            | 3,033,780        | 102.9            | 4,071,823        | 101.2            | 74.5             |
+| FY15 3rd Q TTL | 1,973,603        | 103.2            | 9,441,273        | 105.9            | 12,108,205       | 101.3            | 78.0             |
+| FY2015 TTL     | 6,066,893        | 104.5            | 28,750,907       | 106.1            | 36,347,802       | 101.1            | 79.1             |
+
+## Key
+
+FY = Financial Year ending March 31
+
+RPK = revenue passenger kilometers
+
+ASK = available seat kilometers
+
+L/F = load factor = RPK÷ASK
+
+## 1.2 Monthly International Passenger Route Traffic Data
+
+|     | Routes         | Dec-2015 | Dec-2015 | Dec-2015     | Dec-2015 | Dec-2015    | Dec-2015 | Dec-2015 | Previous Year Same Month |
+| --- | -------------- | -------- | -------- | ------------ | -------- | ----------- | -------- | -------- | ------------------------ |
+|     | Routes         | Pax      | y.o.y(%) | RPK（000's） | y.o.y(%) | ASK（000's) | y.o.y(%) | L/F(%)   | L/F(%)                   |
+| JAL | Transpacific   | 157,642  | 107.1    | 1,225,977    | 107.0    | 1,634,794   | 103.1    | 75.0     | 72.2                     |
+| JAL | Europe         | 42,097   | 88.3     | 383,539      | 87.2     | 618,617     | 99.5     | 62.0     | 70.8                     |
+| JAL | Southeast Asia | 276,197  | 104.6    | 1,050,103    | 105.9    | 1,280,366   | 99.9     | 82.0     | 77.4                     |
+| JAL | Oceania        | 13,435   | 115.0    | 104,501      | 114.5    | 122,544     | 101.8    | 85.3     | 75.8                     |
+| JAL | Guam           | 13,156   | 101.1    | 33,474       | 100.3    | 39,239      | 89.4     | 85.3     | 76.0                     |
+| JAL | Korea          | 47,126   | 84.7     | 54,260       | 86.4     | 67,942      | 77.6     | 79.9     | 71.8                     |
+| JAL | China          | 97,180   | 99.6     | 181,499      | 99.7     | 307,897     | 108.5    | 58.9     | 64.2                     |
+| JAL | Total          | 647,152  | 101.6    | 3,033,780    | 102.9    | 4,071,823   | 101.2    | 74.5     | 73.2                     |
+
+## Key
+
+RPK = revenue passenger kilometers
+
+ASK = available seat kilometers
+
+L/F = load factor = RPK÷ASK
+
+## 2. JAL Group Total Domestic Pax Traffic
+
+Combined domestic traffic statistics of the JAL Group, including: JAL,JTA,J-AIR, JAC, RAC and HAC
+
+|                | Dom Pax Traffic | Dom Pax Traffic | Dom Pax Traffic | Dom Pax Traffic | Dom Pax Traffic | Dom Pax Traffic | Dom Pax Traffic |
+| -------------- | --------------- | --------------- | --------------- | --------------- | --------------- | --------------- | --------------- |
+|                | Pax             | y.o.y(%)        | RPK（000's）    | y.o.y(%)        | ASK（000's)     | y.o.y(%)        | L/F(%)          |
+| FY2013         | 31,218,734      | 104.0           | 23,745,163      | 103.2           | 37,084,260      | 101.8           | 64.0            |
+| FY2014         | 31,557,697      | 100.0           | 23,977,994      | 100.0           | 36,279,873      | 100.0           | 66.1            |
+| Apr-2015       | 2,377,408       | 101.7           | 1,804,499       | 101.8           | 2,943,010       | 98.2            | 61.3            |
+| May-2015       | 2,639,883       | 100.1           | 1,980,161       | 100.1           | 3,066,452       | 98.1            | 64.6            |
+| Jun-2015       | 2,521,447       | 99.3            | 1,878,523       | 98.7            | 2,963,953       | 100.7           | 63.4            |
+| FY15 1st Q TTL | 7,538,738       | 100.3           | 5,663,276       | 100.1           | 8,973,528       | 99.0            | 63.1            |
+| Jul-2015       | 2,665,095       | 101.1           | 2,029,380       | 100.8           | 3,086,715       | 99.5            | 65.7            |
+| Aug-2015       | 2,945,100       | 99.2            | 2,267,663       | 98.7            | 3,237,653       | 99.0            | 70.0            |
+| Sep-2015       | 2,934,022       | 103.6           | 2,245,638       | 103.3           | 2,969,274       | 97.4            | 75.6            |
+| FY15 2nd Q TTL | 8,544,217       | 101.3           | 6,542,681       | 100.9           | 9,293,642       | 98.6            | 70.4            |
+| Oct-2015       | 2,954,715       | 105.5           | 2,241,166       | 105.4           | 3,029,737       | 102.0           | 74.0            |
+| Nov-2015       | 2,799,783       | 100.1           | 2,109,586       | 100.0           | 2,882,024       | 97.8            | 73.2            |
+| Dec-2015       | 2,539,881       | 103.2           | 1,912,511       | 102.8           | 2,987,268       | 98.3            | 64.0            |
+| FY15 3rd Q TTL | 8,294,379       | 102.9           | 6,263,263       | 102.7           | 8,899,029       | 99.4            | 70.4            |
+| FY2015 TTL     | 24,377,334      | 101.5           | 18,469,219      | 101.3           | 27,166,199      | 99.0            | 68.0            |
+
+## Key
+
+FY = Financial Year ending March 31
+
+RPK = revenue passenger kilometers
+
+ASK = available seat kilometers
+
+L/F = load factor = RPK÷ASK
+
+## 3. JAL Group Cargo Traffic Data
+
+Combined traffic statistics of the JAL Group, including: JAL, JTA, J-AIR, JAC, RAC and HAC
+
+|                | International | International | International | International | Domestic | Domestic | Domestic | Domestic |
+| -------------- | ------------- | ------------- | ------------- | ------------- | -------- | -------- | -------- | -------- |
+|                | Cargo         | Cargo         | Mail          | Mail          | Cargo    | Cargo    | Mail     | Mail     |
+|                | Ton           | y.o.y(%)      | Ton           | y.o.y(%)      | Ton      | y.o.y(%) | Ton      | y.o.y(%) |
+| FY2013         | 269,360       | 108.6         | 32,111        | 119.7         | 397,625  | 102.9    | 28,436   | 105.5    |
+| FY2014         | 300,226       | 121.4         | 36,080        | 117.6         | 390,314  | 118.9    | 30,383   | 120.2    |
+| Apr-2015       | 25,567        | 109.1         | 2,584         | 95.6          | 33,834   | 110.7    | 2,616    | 110.1    |
+| May-2015       | 25,659        | 106.8         | 2,440         | 89.7          | 31,387   | 105.4    | 2,559    | 108.6    |
+| Jun-2015       | 24,894        | 105.2         | 2,851         | 113.2         | 31,545   | 108.2    | 2,640    | 109.5    |
+| FY15 1st Q TTL | 76,120        | 107.0         | 7,875         | 99.2          | 96,766   | 108.1    | 7,815    | 109.4    |
+| Jul-2015       | 25,562        | 102.9         | 2,540         | 96.7          | 36,403   | 99.7     | 2,567    | 105.9    |
+| Aug-2015       | 24,193        | 96.5          | 2,802         | 106.2         | 33,133   | 94.1     | 2,328    | 106.0    |
+| Sep-2015       | 24,777        | 99.2          | 2,909         | 90.1          | 33,713   | 99.6     | 2,483    | 100.8    |
+| FY15 2nd Q TTL | 74,532        | 99.5          | 8,251         | 97.2          | 103,249  | 97.8     | 7,378    | 104.1    |
+| Oct-2015       | 25,502        | 97.3          | 2,969         | 94.4          | 34,564   | 99.3     | 2,813    | 105.1    |
+| Nov-2015       | 24,139        | 95.5          | 3,275         | 100.8         | 31,831   | 98.7     | 2,688    | 103.6    |
+| Dec-2015       | 24,153        | 95.1          | 4,201         | 92.3          | 38,354   | 98.3     | 3,211    | 100.9    |
+| FY15 3rd Q TTL | 73,794        | 96.0          | 10,445        | 95.4          | 104,749  | 98.8     | 8,712    | 103.1    |
+| FY2015 TTL     | 224,446       | 100.7         | 26,571        | 97.1          | 304,764  | 101.2    | 23,905   | 105.4    |
+
+## Key
+
+FY = Financial Year ending March 31
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/issue-598-example.md

@@ -0,0 +1,18 @@
+## Chapter 1
+
+## What is Earth Science?
+
+## 1.1 Nature of Science
+
+## Lesson Objectives
+
+- Explain the importance of asking questions.
+- State the steps of the scientific method.
+- Describe the three major types of scientific models.
+- Use appropriate safety precautions inside and outside the science laboratory.
+
+## Introduction
+
+Think of your favorite science fiction movie. What is it about? Maybe it's about spaceships going to distant planets, or people being cloned in laboratories, or undersea civilizations, or robots that walk among us. These entertaining imaginings are make-believe fantasies, that's why they're called science 'fiction.' They are not real. But why are they called 'science' fiction?
+
+The answer is that science uses a disciplined process to answer questions. In science, 'disciplined' does not mean well-behaved. It means following orderly steps in order to come up with the best answers. Science involves observing, wondering, categorizing, communicating, calculating, analyzing, and much more. In order to convert creativity into reality, we need science. In order to travel beyond where anyone has gone before, we need science. In order to understand the world, make sense of it, and conserve it, we need science. In order to confirm our best guesses about the universe and the things in it, we need science. Science fiction stories extend and expand on all the ideas of science and technology in creative ways.

tools/benchmark-harness/vendored/docling/md/issue-842-example.md

@@ -0,0 +1,13 @@
+## 安徽安利合成革股份有限公司
+
+ANHUI ANLI ARTIFICIAL LEATHER CO.,LTD.
+
+## 2011 年年度报告
+
+<!-- image -->
+
+股票代码：300218
+
+股票简称：安利股份
+
+披露日期：2012年3月27日

tools/benchmark-harness/vendored/docling/md/issue-848.md

@@ -0,0 +1,27 @@
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments. At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments. At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.
+
+The movie opens with a news report advertising the way of life in this future, which seems to be far from ideal. Among other stories, three police officers have been murdered and a fourth, Frank Frederickson, has been left critically injured in an attack by unofficial Old Detroit crime boss Clarence Boddicker (Kurtwood Smith), wanted for the deaths of over 30 police officers. The Detroit Metropolitan Police Department's union representatives blame Omni Consumer Products (OCP), who have recently entered a contract with the city to run and manage the DPD, for putting their men in such dangerous environments.
+
+At the Metro West Precinct in Old Detroit, officers respond to a variety of cases when veteran officer Alex Murphy (Peter Weller) arrives, having been transferred in from Metro South. Desk Sergeant Warren Reed gets Murphy a set of riot armor and introduces Murphy to the other cops, who are not happy about how OCP seems to be trying to run the police force into the ground. As Murphy and the other cops are suiting up in the locker rooms, one of them suggests that they go on strike to pressure OCP into giving them better working conditions. At that point, Reed and another officer come in, carrying an evidence tray. Reed removes Frederickson's nameplate from his locker, announcing that Frederickson has died, much to the disappointment of the other cops in the locker room. Reed tells them that a memorial service will be held the next day and admonishes them harshly about striking.

tools/benchmark-harness/vendored/docling/md/issue-905.md

@@ -0,0 +1,7 @@
+<!-- image -->
+
+## This is a simple PDF file. Fun fun fun
+
+Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Phasellus facilisis odio sed mi. Curabitur suscipit. Nullam vel nisi. Etiam semper ipsum ut lectus. Proin aliquam, erat eget pharetra commodo, eros mi condimentum quam, sed commodo justo quam ut velit. Integer a erat. Cras laoreet ligula cursus enim. Aenean scelerisque velit et tellus. Vestibulum dictum aliquet sem. Nulla facilisi. Vestibulum accumsan ante vitae elit. Nulla erat dolor, blandit in, rutrum quis, semper pulvinar, enim. Nullam varius congue risus. Vivamus sollicitudin, metus ut interdum eleifend, nisi tellus pellentesque elit, tristique accumsan eros quam et risus. Suspendisse libero odio, mattis sit amet, aliquet eget, hendrerit vel, nulla. Sed vitae augue. Aliquam erat volutpat. Aliquam feugiat vulputate nisl. Suspendisse quis nulla pretium ante pretium mollis. Proin velit ligula, sagittis at, egestas a, pulvinar quis, nisl. Pellentesque sit amet lectus. Praesent pulvinar, nunc quis iaculis sagittis, justo quam lobortis tortor, sed vestibulum dui metus venenatis est. Nunc cursus ligula. Nulla facilisi. Phasellus ullamcorper consectetuer ante. Duis tincidunt, urna id condimentum luctus, nibh ante vulputate sapien, id sagittis massa orci ut enim. Pellentesque vestibulum convallis sem. Nulla consequat quam ut nisl. Nullam est. Curabitur tincidunt dapibus lorem. Proin velit turpis, scelerisque sit amet, iaculis nec, rhoncus ac, ipsum. Phasellus lorem arcu, feugiat eu, gravida eu, consequat molestie, ipsum. Nullam vel est ut ipsum volutpat feugiat. Aenean pellentesque. In mauris. Pellentesque dui nisi, iaculis eu, rhoncus in, venenatis ac, ante. Ut odio justo, scelerisque vel, facilisis non, commodo a, pede. Cras nec massa sit amet tortor volutpat varius. Donec lacinia, neque a luctus aliquet, pede massa imperdiet ante, at varius lorem pede sed sapien. Fusce erat nibh, aliquet in, eleifend eget, commodo eget, erat. Fusce consectetuer. Cras risus tortor, porttitor nec, tristique sed, convallis semper, eros. Fusce vulputate ipsum a mauris. Phasellus mollis. Curabitur sed urna. Aliquam nec sapien non nibh pulvinar convallis. Vivamus facilisis augue quis quam. Proin cursus aliquet metus. Suspendisse lacinia. Nulla at tellus ac turpis eleifend scelerisque. Maecenas a pede vitae enim commodo interdum. Donec odio. Sed sollicitudin dui vitae justo.
+
+Morbi elit nunc, facilisis a, mollis a, molestie at, lectus. Suspendisse eget mauris eu tellus molestie cursus. Duis ut magna at justo dignissim condimentum. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. Vivamus varius. Ut sit amet diam suscipit mauris ornare aliquam. Sed varius. Duis arcu. Etiam tristique massa eget dui. Phasellus congue. Aenean est erat, tincidunt eget, venenatis quis, commodo at, quam.

tools/benchmark-harness/vendored/docling/md/issue-982-example.md

@@ -0,0 +1,308 @@
+## Creativity in Machine Learning
+
+Martin Thoma
+
+E-Mail: <info@martin-thoma.de>
+
+Abstract -Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio.
+
+This paper gives a high level overview of how they are created and gives some examples. It is meant to be a summary of the current work and give people who are new to machine learning some starting points.
+
+## I. INTRODUCTION
+
+According to [Gad06] creativity is 'the ability to use your imagination to produce new ideas, make things etc.' and imagination is 'the ability to form pictures or ideas in your mind'.
+
+Recent advances in machine learning produce results which the author would intuitively call creative. A high-level overview over several of those algorithms are described in the following.
+
+This paper is structured as follows: Section II introduces the reader on a very simple and superficial level to machine learning, Section III gives examples of creativity with images, Section IV gives examples of machines producing textual content, and Section V gives examples of machine learning and music. A discussion follows in Section VI.
+
+## II. BASICS OF MACHINE LEARNING
+
+The traditional approach of solving problems with software is to program machines to do so. The task is divided in as simple sub-tasks as possible, the subtasks are analyzed and the machine is instructed to process the input with human-designed algorithms to produce the desired output. However, for some tasks like object recognition this approach is not feasible. There are way to many different objects, different lighting situations, variations in rotation and the arrangement of a scene for a human to think of all of them and model them. But with the internet, cheap computers, cameras, crowd-sourcing platforms like Wikipedia and lots of Websites, services like Amazon Mechanical Turk and several other changes in the past decades a lot of data has become available. The idea of machine learning is to make use of this data.
+
+A formal definition of the field of Machine Learning is given by Tom Mitchel [Mit97]:
+
+A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P , if its performance at tasks in T , as measured by P , improves with experience E .
+
+Fig. 1: Neural networks are based on simple units which get combined to complex networks.
+
+<!-- image -->
+
+This means that machine learning programs adjust internal parameters to fit the data they are given. Those computer programs are still developed by software developers, but the developer writes them in a way which makes it possible to adjust them without having to re-program everything. Machine learning programs should generally improve when they are fed with more data.
+
+The field of machine learning is related to statistics. Some algorithms directly try to find models which are based on wellknown distribution assumptions of the developer, others are more general.
+
+A common misunderstanding of people who are not related in this field is that the developers don't understand what their machine learning program is doing. It is understood very well in the sense that the developer, given only a pen, lots of paper and a calculator could calculate the same result as the machine does when he gets the same data. And lots of time, of course. It is not understood in the sense that it is hard to make predictions how the algorithm behaves without actually trying it. However, this is similar to expecting from an electrical engineer to explain how a computer works. The electrical engineer could probably get the knowledge he needs to do so, but the amount of time required to understand such a complex system from basic building blocks is a time-intensive and difficult task.
+
+An important group of machine learning algorithms was inspired by biological neurons and are thus called artificial neural networks . Those networks are based on mathematical functions called artificial neurons which take n ∈ N numbers x 1 , . . . , x n ∈ R as input, multiply them with weights w 1 , . . . , w n ∈ R , add them and apply a so called activation function ϕ as visualized in Figure 1(a). One example of such an activation function is the sigmoid function ϕ ( x ) = 1 1+ e -x . Those functions act as building blocks for more complex systems as they can be chained and grouped in layers as visualized in Figure 1(b). The interesting question is how the parameters w i are learned. This is usually done by an optimization technique called gradient descent . The gradient descent algorithm takes a function which has to be derivable, starts at any point of the surface of this error function and
+
+makes a step in the direction which goes downwards. Hence it tries to find a minimum of this high-dimensional function.
+
+There is, of course, a lot more to say about machine learning. The interested reader might want to read the introduction given by Mitchell [Mit97].
+
+## III. IMAGE DATA
+
+Applying a simple neural network on image data directly can work, but the number of parameters gets extraordinary large. One would take one neuron per pixel and channel. This means for 500 px × 500 px RGB images one would get 750 , 000 input signals. To approach this problem, so called Convolutional Neural Networks (CNNs) were introduced. Instead of learning the full connection between the input layer and the first hidden layer, those networks make use of convolution layers. Convolution layers learn a convolution; this means they learn the weights of an image filter. An additional advantage is that CNNs make use of spacial relationships of the pixels instead of flattening the image to a stream of single numbers.
+
+An excellent introduction into CNNs is given by [Nie15].
+
+## A. Google DeepDream
+
+The gradient descent algorithm which optimizes most of the parameters in neural networks is well-understood. However, the effect it has on the recognition system is difficult to estimate. [MOT15] proposes a technique to analyze the weights learned by such a network. A similar idea was applied by [VKMT13].
+
+For example, consider a neural network which was trained to recognize various images like bananas. This technique turns the network upside down and starts with random noise. To analyze what the network considers bananas to look like, the random noise image is gradually tweaked so that it generates the output 'banana'. Additionally, the changes can be restricted in a way that the statistics of the input image have to be similar to natural images. One example of this is that neighboring pixels are correlated.
+
+Another technique is to amplify the output of layers. This was described in [MOT15]:
+
+We ask the network: 'Whatever you see there, I want more of it!' This creates a feedback loop: if a cloud looks a little bit like a bird, the network will make it look more like a bird. This in turn will make the network recognize the bird even more strongly on the next pass and so forth, until a highly detailed bird appears, seemingly out of nowhere.
+
+The name 'Inceptionism' in the title of [MOT15] comes from the science-fiction movie 'Inception' (2010). One reason it might be chosen is because neural networks are structured in layers. Recent publications tend to have more and more layers [HZRS15]. The used jargon is to say they get 'deeper'. As this technique as published by Google engineers, the technique is called Google DeepDream .
+
+Fig. 2: Aurelia aurita
+
+<!-- image -->
+
+Fig. 3: DeepDream impression of Aurelia aurita
+
+<!-- image -->
+
+It has become famous in the internet [Red]. Usually, the images are generated in iterations and in each iteration it is zoomed into the image.
+
+Images and videos published by the Google engineers can be seen at [goo15]. Figure 2 shows the original image from which Figure 3 was created with the deep dream algorithm.
+
+## B. Artistic Style Imitation
+
+A key idea of neural networks is that they learn different representations of the data in each layer. In the case of CNNs, this can easily be visualized as it was done in various papers [ZF14]. Usually, one finds that the network learned to build edge detectors in the first layer and more complex structures in the upper layers.
+
+Gatys, Ecker and Bethge showed in [GEB15] that with a clever choice of features it is possible to separate the general style of an image in terms of local image appearance from the content of an image. They support their claim by applying the style of different artists to an arbitrary image of their choice.
+
+<!-- image -->
+
+- (c) The artistic style of Van Gogh's 'Starry Night' applied to the photograph of a Scottish Highland Cattle.
+
+Fig. 4: The algorithm takes both, the original image and the style image to produce the result.
+
+This artistic style imitation can be seen itself as creative work. An example is given by Figure 4. The code which created this example is available under [Joh16].
+
+Something similar was done by [SPB + 14], where the style of a portrait photograph was transferred to another photograph. A demo can be seen on [Shi14].
+
+## C. Drawing Robots
+
+Patrick Tresset and Frdric Fol Leymarie created a system called AIKON (Automatic IKONic drawing) which can automatically generated sketches for portraits [TL05]. AIKON takes a digital photograph, detects faces on them and sketches them with a pen-plotter.
+
+Tresset and Leymaire use k -means clustering [KMN + 02] to segment regions of the photograph with similar color which, in turn, will get a similar shading.
+
+Such a drawing robot could apply machine learning techniques known from computer vision for detecting the human. It could apply self-learning techniques to draw results most similar to the artists impression of the image. However, the system described in [TL05] seems not to be a machine learning computer program according to the definition by Tom Mitchell [Mit97].
+
+## IV. TEXT DATA
+
+Digital text is the first form of natural communication which involved computers. It is used in the form of chats, websites, on collaborative projects like Wikipedia, in scientific literature. Of course, it was used in pre-digital times, too: In newspaper, in novels, in dramas, in religious texts like the bible, in books for education, in notes from conversations.
+
+This list could be continued and most of these kinds of texts are now available in digital form. This digital form can be used to teach machines to generate similar texts.
+
+The most simple language model which is of use is an n -gram model. This model makes use of sequences of the length n to model language. It can be used to get the probability of a third word, given the previous two words. This way, a complete text can be generated word by word. Refinements and extensions to this model are discussed in the field of Natural Language Processing (NLP).
+
+However, there are much more sophisticated models. One of those are character predictors based on Recurrent Neural Networks (RNNs). Those character predictors take a sequence of characters as input and predict the next character. In that sense they are similar to the n -gram model, but operate on a lower level. Using such a predictor, one can generate texts character by character. If the model is good, the text can have the correct punctuation. This would not be possible with a word predictor.
+
+Character predictors can be implemented with RNNs. In contrast to standard feed-forward neural networks like multilayer Perceptrons (MLPs) which was shown in Figure 1(b), those networks are trained to take their output at some point as well as the normal input. This means they can keep some information over time. One of the most common variant to implement RNNs is by using so called Long short-term memory (LSTM) cells [HS97].
+
+Recurrent networks apply two main ideas in order to learn: The first is called unrolling and means that an recurrent network is imagined to be an infinite network over time. At each time step the recurrent neurons get duplicated. The second idea is weight sharing which means that those unrolled neurons share the same weight.
+
+## A. Similar Texts Generation
+
+Karpathy trained multiple character RNNs on different datasets and gave an excellent introduction [Kar15b]. He trained it on Paul Graham's essays, all the works of Shakespeare, the Hutter Prize [hut] 100 MB dataset of raw Wikipedia articles, the raw L A T E X source file of a book about algebraic stacks and geometry and Linux C code.
+
+With that training data, the models can generate similar texts. New works which look like Shakespeare plays, new Wikipedia articles, new Linux code and new papers about algebraic geometry can thus automatically be generated. At a first
+
+glance, they do look authentic. The syntax was mostly used correctly, the formatting looks as expected, the sentences are grammatically correct. However, when one looks at the broader context it is easy to recognize that the algorithm has no insight in what it is doing. It does match patterns really well, but it fails to follow a central theme. In the context of C code this means that new variables are introduced, but not used. At the same time, variables which were not declared are used. In the context of Shakespear plays this means that a lot of new characters are introduced, but they don't speak with each other or about each other.
+
+The code used to generate these examples is available and ready to use through [Kar15a]. A couple of examples are in Section A.
+
+## B. Chatbots
+
+Chatbots are computer programs which participate in chat rooms as autonomous agents. This means they have similar permissions and possibilities as usual human users have, but users can trigger a set of commands to make the bot give them valuable information or features.
+
+A special category of chatbots are such bots which actively participate in the conversation, which is usually not the case. One of the earliest programs in this category is ELIZA, a bot created by Joseph Weizenbaum in the 1960s [Wei76]. This program had a set of patterns implemented to which it would reply in a seemingly smart way in a psychologists fashion. This means quite often the program would simply repeat the last sentence and add something meaningless like 'How do you feel about it?'. According to [Cur14], Weizenbaum once found his secretary - who was aware of the fact that this is a computer program - chatting with the machine. When he looked over her shoulder, she asked him 'would you mind leaving the room'.
+
+Today, much more sophisticated chatbots exist. They make use of the vast amount of data which is available by millions of Wikipedia articles, chat protocols, websites, help desk protocols, subtitles of movies as well as the astonishing increase in computing power to train RNNs and language models similar to the ones described before.
+
+Interesting results like the following were obtained by [VL15]:
+
+Human : what is the purpose of life ?
+
+- Machine : to serve the greater good .
+
+Human
+
+: what is the purpose of living ?
+
+Machine : to live forever .
+
+## V. AUDIO DATA
+
+Common machine learning tasks which involve audio data are speech recognition, speaker identification, identification of songs. This leads to some less-common, but interesting topics: The composition of music, the synthesizing of audio as art. While the composition might be considered in Section IV, we will now investigate the work which was done in audio synthesization.
+
+## A. Emily Howell
+
+David Cope created a project called 'Experiments in Musical Intelligence' (short: EMI or Emmy) in 1984 [Cop87]. He introduces the idea of seeing music as a language which can be analyzed with natural language processing (NLP) methods. Cope mentions that EMI was more useful to him, when he used the system to 'create small phrase-size textures as next possibilities using its syntactic dictionary and rule base' [Cop87].
+
+In 2003, Cope started a new project which was based on EMI: Emily Howell [Cop13]. This program is able to 'creat[e] both highly authentic replications and novel music compositions'. The reader might want to listen to [Cop12] to get an impression of the beauty of the created music.
+
+According to Cope, an essential part of music is 'a set of instructions for creating different, but highly related selfreplications'. Emmy was programmed to find this set of instructions. It tries to find the 'signature' of a composer, which Cope describes as 'contiguous patterns that recur in two or more works of the composer'.
+
+The new feature of Emily Howell compared to Emmy is that Emily Howell does not necessarily remain in a single, already known style.
+
+Emily Howell makes use of association network. Cope emphasizes that this is not a form of a neural network. However, it is not clear from [Cop13] how exactly an association network is trained. Cope mentions that Emily Howell is explained in detail in [Cop05].
+
+## B. GRUV
+
+Recurrent neural networks - LSTM networks, to be exact - are used in [NV15] together with Gated Recurrent Units (GRU) to build a network which can be trained to generate music. Instead of taking notes directly or MIDI files, Nayebi and Vitelli took raw audio waveforms as input. Those audio waveforms are feature vectors given for time steps 0 , 1 , . . . , t -1 , t . The network is given those feature vectors X 1 , . . . , X t and has to predict the following feature vector X t +1 . This means it continues the music. As the input is continuous, the problem was modeled as a regression task. Discrete Fourier Transformation (DFT) was used on chunks of length N of the music to obtain features in the frequency domain.
+
+An implementation can be found at [VN15] and a demonstration can be found at [Vit15].
+
+## C. Audio Synthesization
+
+Audio synthesization is generating new audio files. This can either be music or speech. With the techniques described before,
+
+neural networks can be trained to generate music note by note. However, it is desirable to allow multiple notes being played at the same time.
+
+This idea and some others were applied by Daniel Johnson. He wrote a very good introduction into neural networks for music composition which explains those ideas [Joh15b]. Example compositions are available there, too. He also made the code for his Biaxial Recurrent Neural Network available under [Joh15a].
+
+## VI. DISCUSSION
+
+What does these examples mean for our understanding of creativity? Does it influence how much we value art? Could we define art and creativity better after having those and similar results?
+
+I think we might readjust our understanding of creativity just like we adjusted our understanding of algorithmically hard problems after Deep Blue won against the reigning world chess champion Garry Kasparov in 1997.
+
+However, by now it is obvious that machine learning algorithms cannot compete with human artists. Today's state of the art algorithms which are purely based on machine learning don't follow a central theme. They lack the ability to plan. Although clever algorithms were implemented for composing music, it seems as if there is still a lot of supervision involved.
+
+## REFERENCES
+
+- [Cop87] D. Cope, 'Experiments in music intelligence (emi),' 1987. [Online]. Available: <http://hdl.handle.net/2027/spo.bbp2372.1987>. 025
+- [Cop05] --, Computer models of musical creativity . MIT Press Cambridge, 2005.
+- [Cop12] --, 'Emily howell fugue,' YouTube, Oct. 2012. [Online]. Available: <https://www.youtube.com/watch?v=jLRc> uCwI
+- [Cop13] --, 'The well-programmed clavier: Style in computer music composition,' XRDS: Crossroads, The ACM Magazine for Students , vol. 19, no. 4, pp. 16-20, 2013. [Online]. Available: <http://dl.acm.org/citation.cfm?id=2460444>
+- [Cur14] A. Curtis, 'Now then,' BBC, Jul. 2014. [Online]. Available: <http://www.bbc.co.uk/blogs/adamcurtis/entries/> 78691781-c9b7-30a0-9a0a-3ff76e8bfe58
+- [Gad06] A. Gadsby, Ed., Dictionary of Contemporary English . Pearson Education Limited, 2006.
+- [GEB15] L. A. Gatys, A. S. Ecker, and M. Bethge, 'A neural algorithm of artistic style,' arXiv preprint arXiv:1508.06576 , 2015. [Online]. Available: <http://arxiv.org/abs/1508.06576>
+- [goo15] 'Inceptionism: Going deeper into neural networks,' Google Photos, Jun. 2015. [Online]. Available: <https://goo.gl/Bydofw>
+- [HS97] S. Hochreiter and J. Schmidhuber, 'Long short-term memory,' Neural computation , vol. 9, no. 8, pp. 1735-1780, 1997. [Online]. Available: <http://ieeexplore.ieee.org/xpl/freeabs> all.jsp? arnumber=6795963
+- [hut] '50'000 euro prize for compressing human knowledge.' [Online]. Available: <http://prize.hutter1.net/>
+- [HZRS15] K. He, X. Zhang, S. Ren, and J. Sun, 'Deep residual learning for image recognition,' arXiv preprint arXiv:1512.03385 , 2015. [Online]. Available: <http://arxiv.org/abs/1512.03385>
+
+[Joh15a]
+
+[Joh15b]
+
+- [Joh16]
+
+[Kar15a]
+
+D. Johnson, 'Biaxial recurrent neural network for music composition,' GitHub, Aug. 2015. [Online]. Available: https: //github.com/hexahedria/biaxial-rnn-music-composition
+
+--, 'Composing music with recurrent neural networks,' Personal Blog, Aug. 2015. [Online]. Available: <http://www.hexahedria.com/2015/08/03/> composing-music-with-recurrent-neural-networks/
+
+J. Johnson, 'neural-style,' GitHub, Jan. 2016. [Online]. Available: <https://github.com/jcjohnson/neural-style>
+
+- A. Karpathy, 'char-rnn,' GitHub, Nov. 2015. [Online]. Available: <https://github.com/karpathy/char-rnn>
+
+2. [Kar15b] --, 'The unreasonable effectiveness of recurrent neural networks,' Personal Blog, May 2015. [Online]. Available: <http://karpathy.github.io/2015/05/21/rnn-effectiveness/>
+3. [KMN + 02] T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu, 'An efficient k-means clustering algorithm: analysis and implementation,' Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol. 24, no. 7, pp. 881-892, Jul 2002.
+4. [Mit97] T. M. Mitchell, Machine learning , ser. McGraw Hill series in computer science. McGraw-Hill, 1997.
+
+[MOT15] A. Mordvintsev, C. Olah, and M. Tyka, 'Inceptionism: Going deeper into neural networks,' googleresearch.blogspot.co.uk, Jun. 2015. [Online]. Available: <http://googleresearch.blogspot.de/> 2015/06/inceptionism-going-deeper-into-neural.html
+
+[Nie15]
+
+- M. A. Nielsen, Neural Networks and Deep Learning . Determination Press, 2015. [Online]. Available: <http://neuralnetworksanddeeplearning.com/chap6.html#> introducing convolutional networks
+
+[NV15]
+
+A. Nayebi and M. Vitelli, 'GRUV: Algorithmic music generation using recurrent neural networks,' 2015. [Online]. Available: <http://cs224d.stanford.edu/reports/NayebiAran.pdf>
+
+- [Red] 'Deepdream,' Reddit. [Online]. Available: com/r/deepdream/
+
+[Shi14]
+
+<https://www.reddit>.
+
+Y. Shih, 'Style transfer for headshot portraits,' YouTube, Jun. 2014. [Online]. Available: <https://www.youtube.com/watch?v=> Hj5lGFzlubU
+
+- [SPB + 14] Y. Shih, S. Paris, C. Barnes, W. T. Freeman, and F. Durand, 'Style transfer for headshot portraits,' ACM Transactions on Graphics (TOG) , vol. 33, no. 4, p. 148, 2014. [Online]. Available: <http://dl.acm.org/citation.cfm?id=2601137>
+
+[TL05]
+
+P. Tresset and F. F. Leymarie, 'Generative portrait sketching,' in Proceedings of VSMM , 2005, pp. 739-748.
+
+[Vit15]
+
+M. Vitelli, 'Algorithmic music generation with recurrent neural networks,' YouTube, Jun. 2015. [Online]. Available: <https://youtu.be/0VTI1BBLydE>
+
+- [VKMT13] C. Vondrick, A. Khosla, T. Malisiewicz, and A. Torralba, 'Hoggles: Visualizing object detection features,' in Computer Vision (ICCV), 2013 IEEE International Conference on . IEEE, 2013, pp. 1-8. [Online]. Available: <http://ieeexplore.ieee.org/> xpls/abs all.jsp?arnumber=6751109
+
+[VL15]
+
+O. Vinyals and Q. Le, 'A neural conversational model,' arXiv preprint arXiv:1506.05869 , Jul. 2015. [Online]. Available: <http://arxiv.org/abs/1506.05869v2>
+
+[VN15]
+
+[Wei76]
+
+[ZF14]
+
+- M. Vitelli and A. Nayebi, 'GRUV,' Aug. 2015. [Online]. Available: <https://github.com/MattVitelli/GRUV>
+- J. Weizenbaum, Computer Power and Human Reason: From Judgement to Calculation . W.H.Freeman &amp; Co Ltd, 1976.
+
+M. D. Zeiler and R. Fergus, 'Visualizing and understanding convolutional networks,' in Computer Vision-ECCV 2014 . Springer, 2014, pp. 818-833.
+
+## APPENDIX A
+
+## AUTOMATICALLY GENERATED TEXTS
+
+The following texts were generated by [Kar15a] and published by Karpathy on [Kar15b]. This is meant to be a copy for convenience and the case that the website is not reachable.
+
+## A. Shakespeare
+
+## PANDARUS
+
+Alas, I think he shall be come approached and the day When little srain would be attain'd into being never fed, And who is but a chain and subjects of his death, I should not sleep.
+
+## Second Senator
+
+They are away this miseries, produced upon my soul, Breaking and strongly should be buried, when I perish The earth and thoughts of many states.
+
+## DUKE VINCENTIO
+
+Well, your wit is in the care of side and that.
+
+## Second Lord
+
+They would be ruled after this chamber, and my fair nues begun out of the fact, to be conveyed, Whose noble souls I'll have the heart of the wars.
+
+## Clown
+
+Come, sir, I will make did behold your worship.
+
+## VIOLA
+
+I'll drink it.
+
+## B. Wikipeda
+
+Naturalism and decision for the majority of Arab countries' capitalide was grounded by the Irish language by [[John Clair]], [[An Imperial Japanese Revolt]], associated with Guangzham's sovereignty. His generals were the powerful ruler of the Portugal in the [[Protestant Immineners]], which could be said to be directly in Cantonese Communication, which followed a ceremony and set inspired prison, training. The emperor travelled back to [[Antioch, Perth, October 25|21]] to note, the Kingdom of Costa Rica, unsuccessful fashioned the [[Thrales]], [[Cynth's Dajoard]], known in western [[Scotland]], near Italy to the conquest of India with the conflict. Copyright was the succession of independence in the slop of Syrian influence that was a famous German movement based on a more popular servicious, non-doctrinal and sexual power post. Many governments recognize the military housing of the [[Civil Liberalization and Infantry Resolution 265 National Party in Hungary]], that is sympathetic to be to the [[Punjab Resolution]]
+
+(PJS)[<http://www.humah.yahoo.com/guardian>.
+
+cfm/7754800786d17551963s89.htm Official economics Adjoint for the Nazism, Montgomery was swear to advance to the resources for those Socialism's rule, was starting to signing a major tripad of aid exile.]]
+
+## C. Linux Code, 1
+
+/\*
+
+```text
+* Increment the size file of the new incorrect UI_FILTER group information * of the size generatively. */ static int indicate_policy(void) { int error; if (fd == MARN_EPT) { /* * The kernel blank will coeld it to userspace. */ if (ss->segment < mem_total) unblock_graph_and_set_blocked(); else ret = 1; goto bail; } segaddr = in_SB(in.addr); selector = seg / 16; setup_works = true; for (i = 0; i < blocks; i++) { seq = buf[i++]; bpf = bd->bd.next + i * search; if (fd) { current = blocked; } } rw->name = "Getjbbregs"; bprm_self_clearl(&iv->version); regs->new = blocks[(BPF_STATS << info->historidac)] | PFMR_CLOBATHINC_SECONDS << 12; return segtable; } D. Linux Code, 2 /* * Copyright (c) 2006-2010, Intel Mobile Communications. All rights reserved. * * This program is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 as published by * the Free Software Foundation. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software Foundation, * Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */ #include <linux/kexec.h> #include <linux/errno.h> #include <linux/io.h> #include <linux/platform_device.h> #include <linux/multi.h>
+```
+
+```text
+#include <linux/ckevent.h> #include <asm/io.h> #include <asm/prom.h> #include <asm/e820.h> #include <asm/system_info.h> #include <asm/setew.h> #include <asm/pgproto.h> #define REG_PG vesa_slot_addr_pack #define PFM_NOCOMP AFSR(0, load) #define STACK_DDR(type) (func) #define SWAP_ALLOCATE(nr) (e) #define emulate_sigs() arch_get_unaligned_child() #define access_rw(TST) asm volatile("movd %%esp, %0, %3" : : "r" (0)); \ if (__type & DO_READ) static void stat_PC_SEC __read_mostly offsetof(struct seq_argsqueue, \ pC>[1]); static void os_prefix(unsigned long sys) { #ifdef CONFIG_PREEMPT PUT_PARAM_RAID(2, sel) = get_state_state(); set_pid_sum((unsigned long)state, current_state_str(), (unsigned long)-1->lr_full; low; }
+```

tools/benchmark-harness/vendored/docling/md/issue-987-test.md

@@ -0,0 +1 @@
+## Big Small Text Text

tools/benchmark-harness/vendored/docling/md/la-precinct-bulletin-2014-p1.md

@@ -0,0 +1,46 @@
+| Precinct RUN 12/3/2014 11:57:01 AM JOB 0014 GENERAL ELECTION | Precinct RUN 12/3/2014 11:57:01 AM JOB 0014 GENERAL ELECTION | Precinct RUN 12/3/2014 11:57:01 AM JOB 0014 GENERAL ELECTION | REGISTRAR-RECORDER/COUNTY CLERK PRECINCT BULLETINS CLOSE 10/20/14 | REGISTRAR-RECORDER/COUNTY CLERK PRECINCT BULLETINS CLOSE 10/20/14 | REGISTRAR-RECORDER/COUNTY CLERK PRECINCT BULLETINS CLOSE 10/20/14 | REGISTRAR-RECORDER/COUNTY CLERK PRECINCT BULLETINS CLOSE 10/20/14 | REGISTRAR-RECORDER/COUNTY CLERK PRECINCT BULLETINS CLOSE 10/20/14 | 1   |
+| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ----------------------------------------------------------------- | ----------------------------------------------------------------- | ----------------------------------------------------------------- | ----------------------------------------------------------------- | ----------------------------------------------------------------- | --- |
+| 327 BALLOTS CAST 1100 REGISTERED VOTERS                      | ACTON                                                        |                                                              |                                                                   |                                                                   | TO BE HELD 11/04/14 GROUP 13 CONTINUED                            | PAGE 20213                                                        |                                                                   |     |
+| CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                          | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                          | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                          | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                               | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                               | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                               | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                               | CONG 25 SEN 21 ASM 36 BOE 01 SUP 05                               | 1   |
+| GOVERNOR VOTER NOMINATED                                     |                                                              |                                                              | AJ-SUPREME CT-G. LIU YES                                          | 90                                                                | AJ 2D APP DV8-L. RUBIN YES                                        | 109                                                               | STATE MEASURE 48 YES                                              | 96  |
+| NEEL KASHKARI                                                | REP                                                          | 247                                                          | NO                                                                | 142                                                               | NO                                                                | 105                                                               | NO                                                                | 216 |
+| EDMUND G BROWN                                               | DEM                                                          | 69                                                           | A J-SUPREME CT-M. CUELLAR                                         |                                                                   | AJ 2D APP DV8-M. FLIER                                            |                                                                   | COUNTY MEASURE P YES                                              |     |
+| LIEUTENANT GOVERNOR VOTER NOMINATED                          |                                                              |                                                              | YES                                                               | 86                                                                | YES                                                               | 98                                                                |                                                                   | 102 |
+|                                                              |                                                              |                                                              | NO                                                                | 148                                                               | NO                                                                | 117                                                               | NO                                                                | 200 |
+| GAVIN NEWSOM                                                 | DEM                                                          | 64                                                           |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |
+| RON NEHRING                                                  | REP                                                          | 247                                                          | AJ-SUPREME CT-WERDERGAR YES                                       |                                                                   | JUDGE-SUPERIOR COURT #61                                          |                                                                   | ANTELOPE VALLEY HEALTH                                            | 159 |
+|                                                              |                                                              |                                                              | NO                                                                | 121                                                               | JACQUELINE H LEWIS                                                | 64                                                                | MUKUND SHAH                                                       |     |
+| SECRETARY OF STATE                                           |                                                              |                                                              |                                                                   | 108                                                               | DAYAN MATHAI                                                      | 175                                                               | MICHAEL P RIVES DON V PARAZO                                      | 67  |
+| VOTER NOMINATED PETE PETERSON                                |                                                              |                                                              |                                                                   |                                                                   | JUDGE-SUPERIOR COURT #87                                          |                                                                   | ROE LEER                                                          | 104 |
+| ALEX PADILLA                                                 | REP DEM                                                      | 248 64                                                       | PJ 2D APP DV1-ROTHSCHILD YES                                      | 112                                                               | ANDREW M STEIN                                                    | 51                                                                |                                                                   | 39  |
+|                                                              |                                                              |                                                              | NO                                                                | 115                                                               | TOM GRIEGO                                                        | 180                                                               |                                                                   |     |
+| CONTROLLER                                                   |                                                              |                                                              |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |
+| VOTER NOMINATED                                              |                                                              |                                                              | AJ 2D APP DV1-J. JOHNSON                                          |                                                                   | SUPERINTENDENT PUBLIC INST                                        |                                                                   |                                                                   |     |
+| BETTY T YEE                                                  | DEM                                                          | 59                                                           | YES                                                               | 145                                                               | MARSHALL TUCK                                                     | 188                                                               |                                                                   |     |
+| ASHLEY SWEARENGIN                                            | REP                                                          | 249                                                          | NO                                                                | 78                                                                | TOM TORLAKSON                                                     | 88                                                                |                                                                   |     |
+| TREASURER                                                    |                                                              |                                                              | AJ 2D APP DV2-B. HOFFSTADT                                        |                                                                   | ASSESSOR                                                          |                                                                   |                                                                   |     |
+| VOTER NOMINATED                                              |                                                              |                                                              | YES                                                               | 99                                                                | JEFFREY PRANG                                                     | 104                                                               |                                                                   |     |
+| GREG CONLON                                                  | REP                                                          | 240                                                          | NO                                                                | 116                                                               |                                                                   |                                                                   |                                                                   |     |
+| JOHN CHIANG                                                  | DEM                                                          | 69                                                           |                                                                   |                                                                   | JOHN MORRIS                                                       | 136                                                               |                                                                   |     |
+|                                                              |                                                              |                                                              | PJ 2D APP DV3-L. EDMON                                            |                                                                   | SHERIFF                                                           |                                                                   |                                                                   |     |
+| ATTORNEY GENERAL                                             |                                                              |                                                              | YES                                                               | 106                                                               | JIM MCDONNELL                                                     | 219                                                               |                                                                   |     |
+| VOTER NOMINATED                                              |                                                              |                                                              | NO                                                                | 111                                                               | PAUL TANAKA                                                       | 61                                                                |                                                                   |     |
+| RONALD GOLD                                                  | REP                                                          | 245                                                          |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |
+| KAMALA D HARRIS                                              | DEM                                                          | 68                                                           | AJ 2D APP DV4-A. COLLINS YES                                      | 103                                                               | STATE MEASURE 1 YES                                               | 104                                                               |                                                                   |     |
+| INSURANCE COMMISSIONER                                       |                                                              |                                                              | NO                                                                |                                                                   | NO                                                                | 214                                                               |                                                                   |     |
+|                                                              |                                                              |                                                              |                                                                   | 113                                                               |                                                                   |                                                                   |                                                                   |     |
+| VOTER NOMINATED TED GAINES                                   | REP                                                          | 249                                                          | AJ 2D APP DV4-N. MANELLA                                          |                                                                   | STATE MEASURE 2                                                   |                                                                   |                                                                   |     |
+| DAVE JONES                                                   | DEM                                                          | 60                                                           | YES                                                               | 120                                                               | YES                                                               | 133                                                               |                                                                   |     |
+|                                                              |                                                              |                                                              | NO                                                                | 95                                                                | NO                                                                | 180                                                               |                                                                   |     |
+| STATE BD EQUALIZATION D1 VOTER NOMINATED                     |                                                              |                                                              | PJ 2D APP DV5-P. TURNER                                           |                                                                   | STATE MEASURE 45                                                  |                                                                   |                                                                   |     |
+| CHRIS PARKER                                                 | DEM                                                          | 62                                                           | YES                                                               | 138                                                               | YES                                                               | 92                                                                |                                                                   |     |
+| GEORGE RUNNER                                                | REP                                                          | 244                                                          | NO                                                                | 77                                                                | NO                                                                | 221                                                               |                                                                   |     |
+| 25TH CONGRESS DIST                                           |                                                              |                                                              | A J 2D APP DV6-K. YEGAN                                           |                                                                   |                                                                   |                                                                   |                                                                   |     |
+| VOTER NOMINATED                                              |                                                              |                                                              | YES                                                               | 138                                                               | STATE MEASURE 46                                                  | 91                                                                |                                                                   |     |
+| TONY STRICKLAND                                              | REP                                                          | 149                                                          | NO                                                                | 80                                                                | YES NO                                                            | 228                                                               |                                                                   |     |
+| STEVE KNIGHT                                                 | REP                                                          | 146                                                          |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |
+|                                                              |                                                              |                                                              | PJ 2D APP DV7-D. PERLUSS                                          |                                                                   | STATE MEASURE 47                                                  |                                                                   |                                                                   |     |
+| 36TH ASSEMBLY DIST                                           |                                                              |                                                              | YES                                                               | 99                                                                | YES                                                               | 107                                                               |                                                                   |     |
+| VOTER NOMINATED                                              |                                                              |                                                              | NO                                                                | 115                                                               | NO                                                                | 206                                                               |                                                                   |     |
+| STEVE FOX                                                    | DEM                                                          | 63                                                           |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |
+| TOM LACKEY                                                   | REP                                                          | 249                                                          |                                                                   |                                                                   |                                                                   |                                                                   |                                                                   |     |

tools/benchmark-harness/vendored/docling/md/line-char-render-example.md

@@ -0,0 +1 @@
+first line second line third line

tools/benchmark-harness/vendored/docling/md/masterformat_partial_numbering.md

@@ -0,0 +1,7 @@
+## 1. INTENT
+
+- .1 The intent of this Request for Proposal (RFP) is to solicit submissions, in the forma detailed in this document, from qualified Construction Managers for the following pro
+
+## KEN SARGENT HOUSE GRANDE PRAIRIE, ALBERTA
+
+- .2 Available information relative to the project is included in Section 00 00 45 - Descr of Project.

tools/benchmark-harness/vendored/docling/md/mcid_example.md

@@ -0,0 +1,3 @@
+Figure 1: Chart
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/multi_page.md

@@ -0,0 +1,87 @@
+## The Evolution of the Word Processor
+
+The concept of the word processor predates modern computers and has evolved through several technological milestones.
+
+## Pre-Digital Era (19th - Early 20th Century)
+
+The origins of word processing can be traced back to the invention of the typewriter in the mid-19th century. Patented in 1868 by Christopher Latham Sholes, the typewriter revolutionized written communication by enabling people to produce legible, professional documents more efficiently than handwriting.
+
+During this period, the term "word processing" didn't exist, but the typewriter laid the groundwork for future developments. Over time, advancements such as carbon paper (for copies) and the electric typewriter (introduced by IBM in 1935) improved the speed and convenience of document creation.
+
+## The Birth of Word Processing (1960s - 1970s)
+
+The term "word processor" first emerged in the 1960s and referred to any system designed to streamline written communication and document production. Early word processors were not software programs but rather standalone machines.
+
+- IBM MT/ST (Magnetic Tape/Selectric Typewriter) : Introduced in 1964, this machine combined IBM's Selectric typewriter with magnetic tape storage. It allowed users to record, edit, and replay typed content-an early example of digital text storage.
+- Wang Laboratories : In the 1970s, Wang introduced dedicated word processing machines. These devices, like the Wang 1200, featured small screens and floppy disks, making them revolutionary for their time.
+
+These machines were primarily used in offices, where secretarial pools benefited from their ability to make revisions without retyping entire documents.
+
+## The Rise of Personal Computers (1980s)
+
+The advent of personal computers in the late 1970s and early 1980s transformed word processing from a niche tool to an essential technology for businesses and individuals alike.
+
+- WordStar (1978) : Developed for the CP/M operating system, WordStar was one of the first widely used word processing programs. It featured early examples of modern features like cut, copy, and paste.
+- Microsoft Word (1983) : Microsoft launched Word for MS-DOS in 1983, introducing a graphical user interface (GUI) and mouse support. Over the years, Microsoft Word became the industry standard for word processing.
+
+Other notable software from this era included WordPerfect, which was popular among legal professionals, and Apple's MacWrite, which leveraged the Macintosh's graphical capabilities.
+
+## The Modern Era (1990s - Present)
+
+By the 1990s, word processing software had become more sophisticated, with features like spell check, grammar check, templates, and collaborative tools.
+
+- Microsoft Office Suite : Microsoft continued to dominate with its Office Suite, integrating Word with other productivity tools like Excel and PowerPoint.
+- OpenOffice and LibreOffice : Open-source alternatives emerged in the early 2000s, offering free and flexible word processing options.
+- Google Docs (2006) : The introduction of cloud-based word processing revolutionized collaboration. Google Docs enabled real-time editing and sharing, making it a staple for teams and remote work.
+
+## Future of Word Processing
+
+Today, word processors are more than just tools for typing. They integrate artificial intelligence for grammar and style suggestions (e.g., Grammarly), voice-to-text features, and advanced layout options. As AI continues to advance, word processors may evolve into even more intuitive tools that predict user needs, automate repetitive tasks, and support richer multimedia integration.
+
+From the clunky typewriters of the 19th century to the AI-powered cloud tools of today, the word processor has come a long way. It remains an essential tool for communication and creativity, shaping how we write and share ideas.
+
+## Specialized Word Processing Tools
+
+In addition to general-purpose word processors, specialized tools have emerged to cater to specific industries and needs. These tools incorporate unique features tailored to their users' workflows:
+
+- Academic and Technical Writing : Tools like LaTeX gained popularity among academics, scientists, and engineers. Unlike traditional word processors, LaTeX focuses on precise formatting, particularly for complex mathematical equations, scientific papers, and technical documents. It relies on a markup language to produce polished documents suitable for publishing.
+- Screenwriting Software : For screenwriters, tools like Final Draft and Celtx are specialized to handle scripts for film and television. These programs automate the formatting of dialogue, scene descriptions, and other elements unique to screenwriting.
+- Legal Document Processors : Word processors tailored for legal professionals, like WordPerfect, offered features such as redlining (early version tracking) and document comparison. Even today, many law firms rely on these tools due to their robust formatting options for contracts and legal briefs.
+
+## Key Features That Changed Word Processing
+
+The evolution of word processors wasn't just about hardware or software improvements-it was about the features that revolutionized how people wrote and edited. Some of these transformative features include:
+
+1. Undo/Redo : Introduced in the 1980s, the ability to undo mistakes and redo actions made experimentation and error correction much easier.
+2. Spell Check and Grammar Check : By the 1990s, these became standard, allowing users to spot errors automatically.
+3. Templates : Pre-designed formats for documents, such as resumes, letters, and invoices, helped users save time.
+4. Track Changes : A game-changer for collaboration, this feature allowed multiple users to suggest edits while maintaining the original text.
+5. Real-Time Collaboration : Tools like Google Docs and Microsoft 365 enabled multiple users to edit the same document simultaneously, forever changing teamwork dynamics.
+
+## The Cultural Impact of Word Processors
+
+The word processor didn't just change workplaces-it changed culture. It democratized writing, enabling anyone with access to a computer to produce professional-quality documents. This shift had profound implications for education, business, and creative fields:
+
+- Accessibility : Writers no longer needed expensive publishing equipment or training in typesetting to create polished work. This accessibility paved the way for selfpublishing, blogging, and even fan fiction communities.
+- Education : Word processors became a cornerstone of education, teaching students not only how to write essays but also how to use technology effectively. Features like bibliography generators and integrated research tools enhanced learning.
+- Creative Writing : Writers gained powerful tools to organize their ideas. Programs like Scrivener allowed authors to manage large projects, from novels to screenplays, with features like chapter outlines and character notes.
+
+## Word Processors in a Post-Digital Era
+
+As we move further into the 21st century, the role of the word processor continues to evolve:
+
+1. Artificial Intelligence : Modern word processors are leveraging AI to suggest content improvements. Tools like Grammarly, ProWritingAid, and even native features in Word now analyze tone, conciseness, and clarity. Some AI systems can even generate entire paragraphs or rewrite sentences.
+2. Integration with Other Tools : Word processors are no longer standalone. They integrate with task managers, cloud storage, and project management platforms. For instance, Google Docs syncs with Google Drive, while Microsoft Word integrates seamlessly with OneDrive and Teams.
+3. Voice Typing : Speech-to-text capabilities have made word processing more accessible, particularly for those with disabilities. Tools like Dragon NaturallySpeaking and built-in options in Google Docs and Microsoft Word have made dictation mainstream.
+4. Multimedia Documents : Word processing has expanded beyond text. Modern tools allow users to embed images, videos, charts, and interactive elements, transforming simple documents into rich multimedia experiences.
+5. Cross-Platform Accessibility : Thanks to cloud computing, documents can now be accessed and edited across devices. Whether you're on a desktop, tablet, or smartphone, you can continue working seamlessly.
+
+## A Glimpse Into the Future
+
+The word processor's future lies in adaptability and intelligence. Some exciting possibilities include:
+
+- Fully AI-Assisted Writing : Imagine a word processor that understands your writing style, drafts emails, or creates entire essays based on minimal input.
+- Immersive Interfaces : As augmented reality (AR) and virtual reality (VR) technology advance, users may be able to write and edit in 3D spaces, collaborating in virtual environments.
+- Hyper-Personalization : Word processors could offer dynamic suggestions based on industry-specific needs, user habits, or even regional language variations.
+
+The journey of the word processor-from clunky typewriters to AI-powered platformsreflects humanity's broader technological progress. What began as a tool to simply replace handwriting has transformed into a powerful ally for creativity, communication, and collaboration. As technology continues to advance, the word processor will undoubtedly remain at the heart of how we express ideas and connect with one another.

tools/benchmark-harness/vendored/docling/md/nics-background-checks-2015-11-rotated.md

@@ -0,0 +1,13 @@
+These statistics represent the number of firearm background checks initiated through the NICS They do not represent the number of firearms sold Based on varying state laws and purchase scenarios, a one-to-one correlation cannot be made between a firearm background check and a firearm sale
+
+DISCLAIMERS:
+
+Some states may reflect lower than expected numbers for handgun checks based on varying state laws pertaining to handgun permits Since the permit check is done in place of the NICS check in most of the affected states, the low handgun statistics are often balanced out by a higher number of handgun permit checks
+
+\*\*Multiple (multiple types of firearms selected)
+
+NOTES:
+
+\*Refers to frames, receivers and other firearms that are not either handguns or long guns (rifles or shotguns), such as firearms having a pistol grip that expel a shotgun shell
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nics-background-checks-2015-11.md

@@ -0,0 +1,14 @@
+| NICS Firearm Background Checks November - 2015 |
+| ---------------------------------------------- |
+
+\*Refers to frames, receivers and other firearms that are not either handguns or long guns (rifles or shotguns), such as firearms having a pistol grip that expel a shotgun shell
+
+\*\*Multiple (multiple types of firearms selected)
+
+Some states may reflect lower than expected numbers for handgun checks based on varying state laws pertaining to handgun permits Since the permit check is done in place of the NICS check in most of the affected states, the low handgun statistics are often balanced out by a higher number of handgun permit checks
+
+These statistics represent the number of firearm background checks initiated through the NICS They do not represent the number of firearms sold Based on varying state laws and purchase scenarios, a one-to-one correlation cannot be made between a firearm background check and a firearm sale
+
+## NOTES
+
+DISCLAIMERS:

tools/benchmark-harness/vendored/docling/md/nougat_001.md

@@ -0,0 +1,132 @@
+## Description
+
+Please see attached handout for a lesson submitted by a Virginia teacher
+
+## Handout
+
+The next page includes a handout for the lesson.
+
+<!-- image -->
+
+Grade 8 -HP7 Physical Health Disease Prevention/ Health Promotion 2020 Virginia SOLs
+
+## Grade 8 Sample Lesson Plan: Stroke Prevention
+
+## Stroke Prevention
+
+- 8.3.b Evaluate the physical, mental, and social benefits of physical activity.
+- 8.3.g Develop a strategy to prevent diabetes, heart disease, stroke, and other chronic diseases and conditions.
+
+<!-- image -->
+
+What is a stroke?
+
+Who is at risk for stroke?
+
+How can strokes be prevented?
+
+<!-- image -->
+
+## Link
+
+A healthy heart is essential to a healthy body. Why? Write 3 facts that you already know about the heart in the boxes.
+
+1.
+
+2.
+
+3.
+
+The heart is an important organ that keeps the blood moving throughout the body. Blood brings important nutrients to all body systems, including the brain. The brain needs oxygen and glucose from blood to function. What happens when the blood supply in the brain changes? The result may be a stroke. In this lesson, you will learn about what a stroke is, what the risk factors are, and ways to prevent stroke.
+
+## Explore
+
+Use one of the following resources to learn about stroke. During your reading, respond to the questions in complete sentences.
+
+- ❖ Library Database: Cavendish Square <https://www.fcps.edu/resources/library/online-databases-and-ebooks?keywords=Cavendish> (login is Fairfax; password is Fairfax)
+- Stroke and Related Disorders
+- Description of Stroke
+- Risk Factors
+- ❖ NIH National Heart, Lung, and Blood Institute
+- What is a Stroke? <https://www.nhlbi.nih.gov/health/healthtopics/topics/stroke>
+- Who is at Risk for a Stroke? <https://www.nhlbi.nih.gov/health/healthtopics/topics/stroke/atrisk>
+- What are the Signs and Symptoms of a Stroke? <https://www.nhlbi.nih.gov/health/healthtopics/topics/stroke/signs>
+- How Can a Stroke be Prevented? <https://www.nhlbi.nih.gov/health/healthtopics/topics/stroke/prevention>
+
+Write responses to questions in the boxes provided:
+
+<!-- image -->
+
+Source: National Stroke Association
+
+(<http://ww> w.stroke.or g/understa ndstroke/reco gnizingstroke/act - fast)
+
+Describe what a stroke is and describe the two different types of stroke:
+
+A stroke is -
+
+Types of stroke -
+
+Who is at risk for stroke? What are the risk factors for strokes?
+
+What are the signs or symptoms that someone may be having a stroke?
+
+How can strokes be prevented?
+
+## Explain
+
+From the National Stroke Association
+
+Act FAST
+
+FAST is an easy way to remember and identify the most common symptoms of a stroke. Recognition of stroke and calling 9 -1 -1 will determine how quickly someone will receive help and treatment. Getting to a hospital rapidly will more likely lead to a better r ecovery.
+
+## Use FAST To Remember The Warning Signs Of A Stroke
+
+F
+
+-
+
+A
+
+S
+
+T
+
+- FACE: Ask the person to smile. Does one side
+
+of the face droop?
+
+- ARMS: Ask the person to raise both arms. Does one arm drift downward?
+- SPEECH: Ask the person to repeat a simple phrase. Is their speech slurred or strange?
+- TIME: If you observe any of these signs, call 91-1 immediately. 28032 E.9.3
+
+!
+
+<!-- image -->
+
+Call 9-1-1 immediately if you observe any of these symptoms.
+
+Note the time of the first symptom.
+
+This information is important and can affect treatment decisions.
+
+A healthy heart is critical to our survival. It is never too early to make healthy lifestyle decisions to prevent stroke and other heart -related diseases.
+
+## Apply
+
+Imagine that you are a health care provider and have been asked to speak to an 8 th grade health class about preventing strokes. Write an outline of the key points you would use for a presentation. What do you think 8 th grade students need to know about stroke and how to prevent strokes?
+
+Or, create 3-4 slides for a presentation in Google slides.
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_002.md

@@ -0,0 +1,116 @@
+## WUQWATR Board Meeting Minutes - June 17, 2010
+
+Grekos Restaurant, Regina
+
+Present: Jim Elliott, Fred Clipsham, Ernie Oblander, Rod Halyk, Jim Supynuk, Tim Davies, David Sloan, Claudette Halladay.
+
+Guests: Joel Peterson (Ducks Unlimited Canada)
+
+Staff: Duane Haave.
+
+Regrets: Kelly Butz and Geoff Merifield
+
+The meeting was called to order at 10:48 am. by Fred Clipsham.
+
+## 1. Agenda
+
+Motion (Oblander/Davies) (M/S/C) that the meeting agenda as presented be approved.
+
+## 2. Minutes of May 15, 2010
+
+Motion (Davies/Supynuk) (M/S/C) that the minutes of May 15, 2010 as circulated be approved.
+
+## 3. Business Arising
+
+No additional discussion required.
+
+## 4. Correspondence
+
+A letter was received from Minister Heppner to the Upper Qu'Appelle River Watershed Advisory Committee regarding the Upper Qu'Appelle River Conveyance and the status of the project. It was noted in the letter that the price tag for the feasibility study would be $8 Million and the conveyance cost would be between $300 and $600 Million dollars. The feasibility study would not be happening until next year at the earliest. This letter was also sent to Moose Jaw and Regina City Councils and regional MLAs and MPs.
+
+There is an Upper Qu'Appelle River Watershed Advisory Committee on June 21 st and they will be reviewing the letter and decide their further response to the letter.
+
+Motion (Davies/Halladay) (M/S/C) that SAW be requested by WUQWATR to send a letter to the minister following the cabinet shuffle requesting a reaffirmation of support for the watershed advisory process and the watershed committees.
+
+SAW can decide as to whether it should be one letter from SAW or that each watershed committee sends its own letter.
+
+## 5. Reports
+
+- a) Chair (no report)
+- b) Executive Committee (no report)
+- c) General Manager (report provided with original agenda)
+
+4. -The General Manager was requested to bring a policy around the setting up of an operating reserve of 6 months and the procedures for putting money in the reserve and having access to the reserve.
+5. -The budget for February 1, 2010 to January 31, 2011 was presented.
+
+Motion (Halladay/Supynuk) (M/S/C) that the budget for the fiscal year be approved as presented.
+
+## d) Program and Communications Committee
+
+The communications strategy has been reviewed and should be implemented as soon as is possible.
+
+-
+
+## WUQWATR Board Meeting Minutes - June 17, 2010
+
+Grekos Restaurant, Regina
+
+The remainder of the reports was deferred until after the presentation by Joel Peterson of Ducks Unlimited Canada. The meeting also was recessed for lunch at this time and resumed with the presentation from Ducks Unlimited Canada.
+
+## 6. Presentation from Joel Peterson, Ducks Unlimited Canada
+
+Joel Peterson presented both a PowerPoint and verbal presentation. He will be providing a copy of the PowerPoint and the verbal presentation. He also handed out some other printed materials.
+
+## 7. Committee Reports (cont'd)
+
+## c) General Manager (cont'd)
+
+- -The draft points for a MOU between us and SAW respecting the next 2011 SAW conference in Humboldt was presented. There was some discussion about having the registration coordinated between SAW and WUQWATR. As to the dates, WUQWATR should suggest dates to the SAW board.
+
+## e) Finance and Risk Management Committee
+
+- -The financial report was presented.
+
+Motion (Elliott/Halyk) (M/S/C) that the financial report be approved as presented.
+
+## f) Membership Committee
+
+- -The City of Humboldt should be a member soon. A letter requesting membership will be sent out with the annual report.
+
+## g) Updates from WACs
+
+- -Upper Qu'Appelle River
+- ·
+- There will be a meeting on June 21 st . Lanigan Manitou
+- Had a meeting on May 20 th with limited attendance with good discussion.
+- Want to have a meeting in July or August to engage the seasonal visitors to Manitou Beach including the terms of reference for the study of the lake.
+- A letter was sent to Sask Water about consultations around the BHP Billington Potash Mine.
+- -Last Mountain Lake (no report)
+- -Wascana Creek
+- ·
+
+A meeting needs to be set up soon.
+
+- The Wascana Creek C & D will be doing a tour of the creek this fall.
+
+It was noted that we should have a minimal timeframe for notice to our watershed advisory committee meetings. The notice should be, if possible, written.
+
+## h) SAW report
+
+- -The SAW board had a meeting around the AEGP. The provincial Agriculture Minister's chief of staff requested a proposal for the future of the AEGP.
+- -The second meeting was with national officials from Agriculture Canada and Environment Canada.
+- -It is being suggested that there may be an opportunity through SAW to get articles into weekly newspapers by local watersheds and that SAW is looking at creating the opening for local watersheds to get an article into the newspapers.
+
+## WUQWATR Board Meeting Minutes - June 17, 2010
+
+Grekos Restaurant, Regina
+
+Motion (Sloan/Davies) (M/S/C) that a letter be sent to the Premier suggesting that watershed protection and planning and the environment be seen as a priority for his government.
+
+## 8. Next Meeting
+
+The next meeting will be August 10 th in conjunction with the Lewis Creek Eco-buffer tour. There will be in-kind forms at the next meeting to recognize the in-kind contributions to the implementation of watershed protection plans and other watershed projects by the board members or their organizations.
+
+## 9. Adjournment
+
+The meeting was adjourned at 3:18 pm.

tools/benchmark-harness/vendored/docling/md/nougat_003.md

@@ -0,0 +1,171 @@
+Epiphany Lutheran Church Third Sunday of Easter April 18, 2021 10:00 a.m. Live Stream Service
+
+## WELCOME
+
+## THE OPENING SONGS
+
+'Awake My Soul'
+
+There is a sound I love to hear It's the sound of the Saviour's robe As He walks into the room where people pray Where we hear praises He hears faith
+
+There is a sound I love to hear It's the sound of the Saviour's robe As He walks into the room where people pray Where we hear worship He hears faith
+
+Chorus: Awake my soul and sing Sing His praise aloud sing His praise aloud Oh awake my soul and sing Sing His praise aloud sing His praise aloud
+
+There is a sound that changes things The sound of His people on their knees Oh wake up you slumbering It's time to worship Him
+
+Chorus
+
+And when He moves and when we pray Where stood a wall now stands a way Where every promise is amen And when He moves make no mistake The bowels of hell begin to shake All hail the Lord all hail the King
+
+Hey oh Oh let the King of glory enter in Hey oh Fall down on your knees and worship Him Hey oh Let His praise rise up don't hold it in
+
+Chorus
+
+'Awake My Soul', words and music by Brooke Ligertwood ©2019 Hillsong Music Publishing Australia (Admin. by Capitol CMG Publishing) Used by permission. CCLI License #670831.
+
+'This Is Amazing Grace'
+
+Who breaks the power of sin and darkness Whose love is mighty and so much stronger The King of Glory the King above all kings
+
+Who shakes the whole earth with holy thunder Who leaves us breathless in awe and wonder The King of Glory the King above all kings
+
+This is amazing grace this is unfailing love That You would take my place That You would bear my cross You would lay down Your life That I would be set free Jesus I sing for all that You've done for me
+
+Who brings our chaos back into order Who makes the orphan a son and daughter The King of Glory the King of Glory
+
+Who rules the nations with truth and justice Shines like the sun in all of its brilliance The King of Glory the King above all kings
+
+This is amazing grace this is unfailing love That You would take my place That You would bear my cross You laid down Your life That I would be set free Jesus I sing for all that You've done for me
+
+Worthy is the Lamb who was slain Worthy is the King who conquered the grave Worthy is the Lamb who was slain Worthy is the King who conquers the grave Worthy is the Lamb who was slain Worthy is the King who conquers the grave Worthy is the Lamb who was slain Worthy worthy worthy
+
+This is amazing grace this is unfailing love That You would take my place That You would bear my cross You laid down Your life That I would be set free Jesus I sing for all that You've done for me All that you've done for me
+
+'This Is Amazing Grace', Jeremy Riddle, Josh Farro, Phil Wickham ©2012 Bethel Music (Admin. by Bethel Music Publishing, Phil Wickham Music | Seems Like Music | Sing My Songs (Admin. by Music Services, Inc.), Warner Chappell Music (Admin. by Unaffiliated Admin (UA)) Used by permission. CCLI License #670831.
+
+## THE INVOCATION
+
+(Gathering for worship in the name of God)
+
+Pastor:
+
+In the name of the Father, and of the + Son and of the Holy Spirit.
+
+Congregation:
+
+He is risen indeed! Alleluia!
+
+Pastor:
+
+Glory and honor, dominion and power be to God forever and ever.
+
+Congregation:
+
+Christ is risen! Alleluia! Amen.
+
+## THE CONFESSION OF SIN AND THE GOOD NEWS OF FORGIVENESS
+
+Pastor:
+
+If we say we have no sin, we deceive ourselves, and the truth is not in us.
+
+Congregation:
+
+But if we confess our sins, God, who is faithful and just, will forgive our sins and cleanse us from all unrighteousness.
+
+(Silence for reflection on God's Word and for self-examination)
+
+Pastor:
+
+Let us then confess our sins to God our Father.
+
+Congregation:
+
+Pastor:
+
+Congregation:
+
+## 1 John 3:1-7
+
+1 How great is the love the Father has lavished on us, that we should be called children of God! And that is what we are! The reason the world does not know us is that it did not know him. 2 Dear friends, now we are children of God, and what we will be has not yet been made known. But we know that when he appears, we shall be like him, for we shall see him as he is. 3 Everyone who has this hope in him purifies himself, just as he is pure. 4 Everyone who sins breaks the law; in fact, sin is lawlessness. 5 But you know that he appeared so that he might take away our sins. And in him is no sin. 6 No one who lives in him keeps on sinning. No one who continues to sin has either seen him or known him. 7 Dear children, do not let anyone lead you astray. He who does what is right is righteous, just as he is righteous. (NIV)
+
+Most merciful God, we confess that we are by nature sinful and unclean. We have sinned against You in thought, word, and deed, by what we have done and by what we have left undone. We have not loved You with our whole heart; we have not loved our neighbors as ourselves. We justly deserve Your present and eternal punishment. For the sake of Your Son, Jesus Christ, have mercy on us. Forgive us, renew us, and lead us, so that we may delight in Your will and walk in Your ways to the glory of Your holy name. Amen.
+
+In the mercy of almighty God, Jesus Christ was given to die for us, and for His sake God forgives us all our sins. To those who believe in Jesus Christ He gives the power to become the children of God and bestows on them the Holy Spirit. May the Lord, who has begun this good work in us, bring it to completion in the day of our Lord Jesus Christ.
+
+Amen.
+
+## THE EPISTLE LESSON
+
+## Luke 24:36-49
+
+36 While they were still talking about this, Jesus himself stood among them and said to them, "Peace be with you." 37 They were startled and frightened, thinking they saw a ghost. 38 He said to them, "Why are you troubled, and why do doubts rise in your minds? 39 Look at my hands and my feet. It is I myself! Touch me and see; a ghost does not have flesh and bones, as you see I have." 40 When he had said this, he showed them his hands and feet. 41 And while they still did not believe it because of joy and amazement, he asked them, "Do you have anything here to eat?" 42 They gave him a piece of broiled fish, 43 and he took it and ate it in their presence. 44 He said to them, "This is what I told you while I was still with you: Everything must be fulfilled that is written about me in the Law of Moses, the Prophets and the Psalms." 45 Then he opened their minds so they could understand the Scriptures. 46 He told them, "This is what is written: The Christ will suffer and rise from the dead on the third day, 47 and repentance and forgiveness of sins will be preached in his name to all nations, beginning at Jerusalem. 48 You are witnesses of these things. 49 I am going to send you what my Father has promised; but stay in the city until you have been clothed with power from on high." (NIV)
+
+## THE CHILDREN'S MESSAGE
+
+## THE SERMON
+
+The Proclaimer of the Message today is the Rev. Dr. Jon Salminen.
+
+## THE APOSTLES' CREED
+
+I believe in God, the Father Almighty, maker of heaven and earth.
+
+And in Jesus Christ, his only Son, our Lord, who was conceived by the Holy Spirit, born of the virgin Mary, suffered under Pontius Pilate, was crucified, died and was buried. He descended into hell. The third day he rose again from the dead. He ascended into heaven and sits at the right hand of God the Father Almighty.
+
+From thence he will come to judge the living and the dead.
+
+## I believe in the Holy Spirit
+
+the holy Christian Church, the communion of saints, the forgiveness of sins, the resurrection of the body, and the life everlasting. Amen.
+
+## THE GOSPEL LESSON
+
+## THE PRAYERS
+
+## THE LORD'S PRAYER
+
+All: on earth as it is in heaven. Give us this day our daily bread;
+
+Our Father who art in heaven, hallowed be thy name, thy kingdom come, thy will be done and forgive us our trespasses as we forgive those who trespass against us; and lead us not into temptation, but deliver us from evil. For thine is the kingdom and the power and the glory forever and ever. Amen.
+
+## THE ANNOUNCEMENTS
+
+## THE BLESSING
+
+Pastor:
+
+The Lord bless you and keep you. The Lord make his face shine on you and be gracious to you. The Lord look upon you with favor and give you peace.
+
+Congregation:
+
+Amen.
+
+Pastor:
+
+Christ is risen!
+
+Congregation:
+
+He is risen indeed! Alleluia!
+
+## THE CLOSING SONG
+
+'No Longer Slaves'
+
+You unravel me with a melody You surround me with a song Of deliverance from my enemies Till all my fears are gone
+
+Chorus: I'm no longer a slave to fear I am a child of God I'm no longer a slave to fear I am a child of God
+
+From my Mother's womb You have chosen me Love has called my name I've been born again into Your family Your blood flows through my veins
+
+## Chorus 2X
+
+## You split the sea so I could walk right through it My fears were drowned in perfect love You rescued me so I could stand and sing I am a child of God (2X)
+
+## I am a child of God (2X)
+
+## Chorus
+
+'No Longer Slaves', words and music by Brian Johnson, Joel Case and Jonathan David Helser ©2014 Bethel Music Publishing Used by permission. CCLI License #670831.

tools/benchmark-harness/vendored/docling/md/nougat_004.md

@@ -0,0 +1,43 @@
+COATING CURVE
+
+Coating Curve
+
+Edmund Optics Inc.
+
+USA | Asia | Europe
+
+45º Blue Reflective Dichroic Color Filter Coating Performance
+
+FOR REFERENCE ONLY
+
+## 45 ° Blue Reflective Dichroic Color Filter Coating Performance FOR REFERENCE ONLY
+
+— Average Polarization
+
+<!-- image -->
+
+Wavelength (nm)
+
+<!-- image -->
+
+Reflectance %
+
+## 100
+
+90
+
+80
+
+70
+
+60
+
+50
+
+40
+
+30
+
+20
+
+400

tools/benchmark-harness/vendored/docling/md/nougat_005.md

@@ -0,0 +1,294 @@
+APCO
+
+APCO
+
+AUSTRALIAN
+
+PACKAGING
+
+COVENANT
+
+ORGANISATION
+
+<!-- image -->
+
+## Myer Holdings Limited
+
+Website
+
+<https://www.myer.com.au>
+
+## DASHBOARD
+
+Primary Industry Sector General merchandise and apparel
+
+BEYOND
+
+<!-- image -->
+
+CORE
+
+<!-- image -->
+
+For the 2021 APCO Annual Report, Myer Holdings Limited has achieved Level 3 (Advanced) for the core criteria. All se ven core criteria were answered and six out of six recommen ded criteria were answered.
+
+<!-- image -->
+
+<!-- image -->
+
+## 2021 Annual Report &amp; Action Plan
+
+Date printed:
+
+28/05/2021
+
+Packaging Supply Chain Position
+
+Retailer (point-of-sale)
+
+ABN
+
+14 119 085 602
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+## INDICATORS
+
+This Annual Report shows the organisation's performance against the APCO Packaging Sustainability Framework.
+
+CORE: All core criteria.
+
+RECOMMENDED: All answered recommended criteria. TOTAL: Sum of all core and answered recommended criteria.
+
+LEADERSHIP: All criteria that defines leadership on packaging sustainability.
+
+OUTCOMES: All criteria that lead to direct improvement in packaging sustainability.
+
+OPERATIONS: All criteria related to business operations for improving packaging sustainability.
+
+ADVANCED
+
+1. LEADERSHIP
+
+AUSTRALIAN
+
+PACKAGING
+
+COVENANT
+
+ORGANISATION
+
+1.1
+
+Packaging sustainability
+
+strategy
+
+1.2
+
+Closed loop collaboration
+
+1.3
+
+Consumer engagement
+
+<!-- image -->
+
+## Myer Holdings Limited
+
+2. OUTCOMES
+
+## REPORTING FRAMEWORK
+
+2.1
+
+## OVERVIEW
+
+Packaging
+
+2.2
+
+materials efficiency
+
+Recycled &amp;
+
+2.3
+
+renewable materials
+
+<!-- image -->
+
+## ABOUT THE APCO FRAMEWORK
+
+The APCO Packaging Sustainability Framework (the Framework) aims to provide a consistent and transparent framework for assessing and tracking packaging sustainability across organisations. The Framework consists of thirteen independent criter ia that belong to three separate categories. These categories are (i) Leadership, (ii) Packaging Outcomes and (iii) Operation s. The diagram above shows the different criteria included within each of these three categories.
+
+There are two types of criteria within the Framework:
+
+- Core criteria are mandatory and must be answered by all Members when completing the Annual Reporting Tool.
+- Recommended criteria are not mandatory, but Members are encouraged to complete as many recommended criteria as possible.
+
+Each criteria is divided into five levels of performance ranging from 'getting started' to 'beyond best practice'. The diagram ab ove illustrates the key differences between performance levels. Please see <https://www.packagingcovenant.org.au> for more informa tion.
+
+## ABOUT APCO
+
+APCO is a co-regulatory, not for profit organisation that partners with government and industry to reduce the harmful impact of packaging on the Australian environment. APCO promotes sustainable design and recycling initiatives, waste to landfill re duction activities and circular economy projects. APCO Annual Reports are a key Membership obligation, providing Member organisations with a transparent method to track their packaging sustainability performance. Annual reporting also supplies A PCO with valuable data and information to identify industry trends and advancements.
+
+<!-- image -->
+
+APCO
+
+APCO
+
+LEVEL O
+
+- NOT YET STARTED
+
+## 2021 Annual Report &amp; Action Plan
+
+Industry leadership
+
+LEVEL 1
+
+- GETTING STARTED
+
+The organisation is developing a plan or is investigating options for action under that criteria
+
+(e.g. agreeing on goals and targets).
+
+LEVEL 2
+
+## LEVEL DESCRIPTION
+
+have achieved the desired outcome.
+
+<!-- image -->
+
+GOOD PROGRESS
+
+<!-- image -->
+
+## Myer Holdings Limited
+
+## COMMITMENTS
+
+The Action Plan detailed below, is a public commitment to advancing packaging sustainability outcomes as a Member of APCO. Members are encouraged to have a comprehensive internal plan with the steps they will take to fulfill their commitments.
+
+Criteria 1.1 PACKAGING SUSTAINABILITY STRATEGY (core)
+
+## 4. Leading
+
+Your organisation is committed to: Having targets that are specific, measureable and time-based.
+
+## Criteria 1.2 CLOSED-LOOP COLLABORATION (core)
+
+## 3. Advanced
+
+Your organisation is committed to: Ensuring that rigorous processes are implemented to collect data for the purpos es of monitoring the performance of the closed loop collaboration.
+
+Criteria 1.3 CONSUMER ENGAGEMENT (recommended)
+
+## 4. Leading
+
+Your organisation is committed to engaging consumers about packaging sustainability by: (1) Including packa ging information on your website or other publications. (2) Applying on-pack claims or labels. (3) Designing packaging t o reduce the impacts of consumption. (4) Running a marketing campaign.
+
+Criteria 1.4 INDUSTRY LEADERSHIP (recommended)
+
+## 3. Advanced
+
+Your organisation is committed to: (1) Investigating collaborative or industry leadership actions to improve packagin g sustainability. (2) Being involved in a program or initiative to improve packaging sustainability through collaboration a nd leadership. (3) Being involved in multiple programs or initiatives to improve packaging sustainability through collabor ation and industry leadership.
+
+Criteria 2.1 PACKAGING DESIGN &amp; PROCUREMENT (core)
+
+## 4. Leading
+
+Your organisation is committed to: Reviewing at least 80% of packaging with reference to the Sustainable Packagin g Guidelines (SPG) or equivalent.
+
+<!-- image -->
+
+## 2021 Annual Report &amp; Action Plan
+
+<!-- image -->
+
+## Myer Holdings Limited
+
+## COMMITMENTS
+
+Criteria 2.2 PACKAGING MATERIALS EFFICIENCY (core)
+
+## 2. Good progress
+
+Your organisation is committed to: Reducing packaging weight or optimising packaging material efficiency in up to 2 0% of products.
+
+Criteria 2.3 RECYCLED &amp; RENEWABLE MATERIALS (core)
+
+## 2. Good progress
+
+Your organisation is committed to: Incorporating or optimising recycled and/or renewable content in up to 20% of pr oducts.
+
+Criteria 2.4 POST-CONSUMER RECOVERY (core)
+
+## 1. Getting started
+
+Your organisation is committed to: Investigating opportunities to improve recoverability in packaging.
+
+Criteria 2.5 CONSUMER LABELLING (recommended)
+
+## 4. Leading
+
+Your organisation is committed to: Labelling more than 50% of products with disposal or recovery information.
+
+Criteria 2.6 PRODUCT-PACKAGING INNOVATION (recommended)
+
+## 1. Getting started
+
+Your organisation is committed to: Investigating opportunities to change the design or delivery of at least one produ ct to improve packaging sustainability.
+
+Criteria 3.1 BUSINESS-TO-BUSINESS PACKAGING (core)
+
+## 1. Getting started
+
+Your organisation is committed to: Developing a plan or investigating opportunities to reduce the amount of single-u se business-to-business (B2B) packaging used internally or sent to customers.
+
+<!-- image -->
+
+## 2021 Annual Report &amp; Action Plan
+
+<!-- image -->
+
+## Myer Holdings Limited
+
+## COMMITMENTS
+
+Criteria 3.2 ON-SITE WASTE DIVERSION (recommended)
+
+## 4. Leading
+
+Your organisation is committed to: Investigating opportunities to divert more than 50% of solid waste generated at f acilities (factories, warehouses, offices, retail stores etc.) from landfill.
+
+Criteria 3.3 SUPPLY CHAIN INFLUENCE (recommended)
+
+## 5. Beyond best practice
+
+Your organisation is committed to engaging its supply chain about packaging sustainability by: (1) Communic ating goals and guidelines. (2) Providing support to suppliers to improve their understanding of goals and strategies. (3) Collaborating with key suppliers to share knowledge. (4) Having processes to evaluate risks and opportunities for influe nce. (5) Having business processes to monitor supplier compliance.
+
+SIGN OFF
+
+## DISCLAIMER
+
+The copyright owners of this report are The Australian Packaging Covenant Organisation (APCO) and the University of Technology Sydney (UTS). The data contained within this report is owned exclusively by APCO. This report (including all text, images and attachments) has been prepared for the exclusive use and benefit of the copyright holders and each addressee(s) only. The copyright owners give their consent and grant a limited licence to each addressee(s) for the use of this report, in its entirety, to be reproduced, distributed and communicated to third parties or made public at the discretion of the addressee(s). All other rights are strictly reserved. The addressee(s) is not permitted to reproduce, distribute or communicate separate subsections, images or individual pages of this report. The report can only be reproduced, distributed or communicated in full. The information contained in this report does not constitute investment or business advice and addressee(s) should not rely on the information for such purposes. All addressee(s) should obtain their own independent advice before making any financial decisions based on the information included in this report. 2017­2021 ©.
+
+Suite 1102, Level 11, 55 Clarence Street, Sydney, NSW, 2000 ☎ (02) 8381 3700 ✉ <apco@packagingcovenant.org.au>
+
+<!-- image -->
+
+## 2021 Annual Report &amp; Action Plan
+
+## Nigel Chadwick
+
+Chief Financial Officer
+
+Friday, 28 May 2021

tools/benchmark-harness/vendored/docling/md/nougat_006.md

@@ -0,0 +1,53 @@
+## Ashland Planning Board Meeting
+
+## Amended Minutes Wednesday, June 27, 2018
+
+CALL TO ORDER:
+
+Mardean Badger, Chair of the Planning Board, called the meeting to order at 6:35 PM.
+
+MEMBERS PRESENT:
+
+Mardean Badger, Susan MacLeod, Leigh Sharps
+
+OTHERS PRESENT:
+
+Alan Cilley, Christine Cilley.
+
+## DISPOSITION OF MINUTES
+
+The minutes of the Wednesday, June 6, 2018 Planning Board meeting were reviewed. Leigh Sharps made a motion to approve the minutes as amended. Susan MacLeod seconded the motion. The vote was 3-0.
+
+## RULES OF PROCEDURE
+
+The Planning Board reviewed our Rules of Procedure ( last amended in 2013) in comparison with the sample Rules of Procedure provided by the NH OSI (Office of Strategic Initiatives). The Board made minor changes including the updating of days, times and locations of meetings. One change will be the insertion of two statements regarding changes in the NH RSA:91-A:2 which relate to the posting of meeting notices and minutes on the town's website. Revised rules will be approved at the next meeting.
+
+## APPLICATION FOR SITE PLAN REVIEW
+
+The Board reviewed the application for Site Plan Review (last updated in 2014). Changes were made in the days, times and locations of meetings. The Board added a clarification in Section 5 that 'Notices' payment includes property owners, agent, abutters and professional. A motion was made by Susan MacLeod and seconded by Leigh Sharps that an electronic copy of the site plan MUST (previously may) be submitted with the application. The motion was approved 3-0. The revised form will be approved at the Board's next meeting.
+
+## BUILDING REGULATIONS REVIEW
+
+The Board reviewed the updated Building Regulations. All the changes of the Building Regulations approved at the March 13, 2018 Town Meeting are included. Crossed out portions of Articles 10 and 15 will be deleted as approved by the ballot. Minor typos will be referred to the Town Office for correction. The Board noted several issues that need further discussion and which may be possible changes to regulations to be considered by ballot in March of 2019. The Board will need to discuss possible changes and proper wording to Article 3.5 with the Fire Chief, to Article 4 (list of fees) and Article 6 for updates to building code references.
+
+## ZONING ORDINANCE REVIEW
+
+The Board reviewed the zoning ordinances. The Board will continue to review the zoning ordinances for accuracy in re-typing. The Board questioned the deletion of the paragraph describing the IndustrialCommercial zone at the end of section 2.2b, as this was not part of any warrant article change.
+
+Topics of discussion were noted for possible changes for the March 2019 ballot. The Board will discuss further changes to the definition of Commercial Zones and Industrial Zones. It was also suggested that the document 'Zoning Districts, Town of Ashland (December 2002)' should be referenced in the Zoning Ordinance as an appendix. They will review, update and review for accuracy the section on
+
+Signs and consistency of all sign references in all sections of the Zoning Ordinances. The Board will review the issues of Flood Plain, Home Occupation, Special Exception (referencing the time period by RSA).
+
+## CODE ENFORCEMENT REVIEW
+
+The Board noted a few locations with excessive signage and will continue the discussion at a future meeting.
+
+The Planning Board meeting on Wednesday, July 11 will include a public hearing for a boundary line adjustment for three properties in the Squam River Landing (EHFAR) development.
+
+## ADJOURNMENT
+
+Leigh Sharps made a motion to adjourn. Susan MacLeod seconded the motion. The motion passed 3-0. The meeting adjourned at 8:05 PM.
+
+The next Planning Board meeting will be Wednesday, July 11, 2018 at the Ashland Elementary School cafeteria.
+
+Minutes submitted by Paula Hancock

tools/benchmark-harness/vendored/docling/md/nougat_007.md

@@ -0,0 +1,134 @@
+2021
+
+<!-- image -->
+
+## CHILD CONSENT FORM
+
+The privilege of letting member children at the age of 10 be dropped off so that they can enjoy the club unaccompanied by a parent or guardian is a longstanding tradition at the LRRC. In order for us to continue providing this privilege, we ask that the children adhere to the following rules. Please review this information with them and return the signed form to the club before you intend to drop off your child. Thank you for your understanding and support.
+
+<!-- image -->
+
+<!-- image -->
+
+## RULES/spaceliningAND/spaceliningREGULATIONS
+
+## Children ages 10 - 14
+
+- Must have a 2021 Child Consent Form at the Front Desk
+- Must have paid the 2021 Child Consent fee of $75 per child.
+- Must check in at the Front Desk.
+- Must have a current photograph in our computer system.
+- May only be at the club unaccompanied by parents at the following times:
+- Summer: 10:00 am - 8:00 pm
+- School year: 10:00 am - 6:00 pm
+- Must wear a wristband at check-in for their entire club stay. Club wristbands are non-transferrable.
+- Are allowed in the recreational pool (when a life guard is on duty), basketball court and outside picnic areas.
+- When using the poolside snack bar you must:
+- Behave appropriately.
+- Treat staff with respect.
+- Vacate table when finished eating - no loitering.
+- Are not allowed in the fitness rooms, indoor tennis center, 50-meter pool or LOCKER ROOMS without adult supervision. Two bathrooms, two showers and the changing room located on the 25 yard pool deck are available for their use.
+- Are not allowed to play around the tennis courts or indoor tennis center.
+
+## Children ages 12 - 14
+
+- May serve as hosts to guests who are at least 12 years old. Child hosts may only bring up to two guests at one time. Guests 12 to 14 years of age must have a Guest Child Form on file at the club in order to gain entry when unaccompanied by an adult member. (An individual guest may only visit the LRRC twice per week when unaccompanied by a parent/guardian host, regardless of different hosting members. The club week runs Monday-Sunday.) All guests between the ages of 12 and 14 are required to wear club issued wristbands during their entire stay. Guests must be accompanied by their hosts at all times while on club premises.
+
+Unsafe or inappropriate behavior may result in suspension from using the club for the remainder of the day, the week or possibly the summer.
+
+<!-- image -->
+
+## PARTICIPANT'S/spaceliningINFORMATION
+
+Name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Date of birth: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Gender: Male Female
+
+Child's cell number (if applicable): : \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Mother's name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Father's name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Street address: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ City: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ State: \_\_\_\_\_\_\_\_\_\_\_ Zip: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Mother's phone: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Father's phone: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Email: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+## MEDICAL/spaceliningINFORMATION
+
+Person to contact in case of emergency if parents cannot be reached: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Phone(s): \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Relationship to child: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Doctor's name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Phone number: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Emergency room of choice: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Allergies, medications, special conditions including but not limited to asthma, diabetes, sun sensitivity, seizures or fainting spells (please
+
+provide specifics): \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+## PAYMENT/spaceliningINFORMATION
+
+Person responsible for payment: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Responsible party's address: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ City: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ State: \_\_\_\_\_\_\_\_\_ Zip: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Day phone: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Evening phone: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Email address: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Method of Payment (Indicate your choice by completing the appropriate information below):
+
+For security reasons, your payment information will be encrypted by our computer so/ftware and this information will be shredded.
+
+LRRC/LRAC club account option (for members only/account must be current)
+
+Name of member to be charged: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Credit/debit card option (Visa, MasterCard, Discover, American Express)
+
+Name as shown on card: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Credit card number: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Expiration date: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ CCV number: \_\_\_\_\_\_\_\_\_\_\_
+
+## To be completed by LRRC staff
+
+Date: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Staff initials: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+NOW/spaceliningSIGN/spaceliningTHE/spaceliningW AIVER/spacelining ON/spaceliningTHE/spaceliningBA CK
+
+## RELEASE OF LIABILITY &amp; ASSUMPTION OF RISK AGREEMENT
+
+I understand and acknowledge that this is an agreement between myself and the auspices of the Li/ttle Rock Athletic Centers, LLC, dba Li/ttle Rock Athletic Club, Li/ttle Rock Racquet Club, North Li/ttle Rock Athletic Club and Downtown Athletic Club (collectively referred to as LRAC). I further acknowledge that I have the ability to read and have been provided the opportunity to read this agreement before signing.
+
+I understand and agree that being allowed to participate and utilize the equipment, programs, supplies, services, staff and facilities at LRAC is good and valuable consideration for this agreement.
+
+I understand that the nature of LRAC's facilities and equipment contemplate that other members, guests and staff will have access to the equipment, supplies and services available at LRAC. While LRAC takes reasonable steps to insure the safety and sanitization of the equipment, programs, supplies, services and facilities, it cannot and does not guarantee that the equipment, programs, supplies, services and facilities are germ / virus free (this includes, but is not limited to COVID-19). I acknowledge the individual responsibility regarding these issues and hereby waive any and all claims related to such issues should I or my children choose to participate and/or utilize the equipment, programs, supplies, services and facilities. I also acknowledge the individual responsibility regarding the fact that other members, guests or staff may be present and may have medical conditions and/or infections wholly independent of LRAC. I hereby waive any and all claims related to such issues should I or my children choose to participate and/or utilize the equipment, programs, supplies, services and facilities while other members, guests or staff are present.
+
+RELEASE AND AGREEMENT NOT TO SUE: I understand, acknowledge and agree that the equipment, programs, supplies, services and facilities at LRAC are voluntary and that they involve inherent risks. The risk of injury includes the risk of use and the risk of misuse. The possible injuries include the potential for permanent paralysis and death. I knowingly and freely assume all such risks, both known and unknown and assume full responsibility for my participation and that of my children. I knowingly and freely agree to waive any claim for injury sustained at LRAC and agree not to sue LRAC (including its managers, officers, officials and/or employees) whether or not the claim for injury was caused by the negligence of LRAC, its managers, officers, officials and/or employees. I further agree to indemnify and hold harmless LRAC against any and all damage, loss, cost and expense related to any injury or harm I or my children might sustain.
+
+Photography and/or Video - I understand that LRAC periodically takes facility and group photographs and videos and uses the resulting content for lawful purposes including, publicity, illustration, advertising and web content. I grant to LRAC and all its subsidiaries the right to take photographs and/or videos of myself or my children. I authorize LRAC, its assigns and transferees to copyright, use and publish the same in print and/or electronically. I agree that LRAC may edit and use such photographs and/or videos for any lawful purpose..
+
+Text and Email Communication - By opting in to receiving text and email messages from LRAC, I agree to allow LRAC and all its subsidiaries, agents and service providers to contact me with promotional and informational texts and emails at the phone number(s) and/or email address(es) provided. I acknowledge that providing these phone numbers and email addresses is not a condition of receiving any property, goods or services. By listing this information, I certify that it is accurate and that I own the rights to use it and give consent for it/their use. Additionally, I understand that I may unsubscribe at any time to these communications.
+
+## PARICIPANT/spaceliningAGREEMENT
+
+## MY/spaceliningSIGNA TURE/spaceliningCONVEYS/colonlining
+
+- I have read all of the above, fully understand its meaning and that I have given up substantial rights and granted specific permissions which I do freely and voluntarily without any inducement or coercion.
+- I give my consent for my child to receive medical or surgical aid as may be deemed necessary and expedient by a duly licensed or recognized physician or surgeon in the case of an emergency when a parent or guardian cannot be reached. Consent is also given for an LRAC employee or his/her duly appointed representative to transport my child for emergency medical treatment in said situation;
+- I authorize the LRAC to dra/ft the Child Consent fee;
+- I understand the Rules and Regulations explained herein and my child agrees to abide by them.
+
+Print Parent's/Guardian's Name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Parent's/Guardian's Signature: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Date: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Print Child's Name: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Child's Signature: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+Date: \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_

tools/benchmark-harness/vendored/docling/md/nougat_008.md

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+Papers And Answers new knowledge about how assessment can be used to re/engage learners across all phases of education.
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+20 members bring together the world's major advanced and emerging economies, as well as the European Union. Together they represent some 90% of global DP, 80% of global trade Page 77/84
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+## Bookmark File PDF Year 4 Numeracy Essment Test
+
+Papers And Answers undertaking education reform to advance development in related countries.
+
+This publication assesses progress towards Sustainable Development oal 4 (SD 4) on education and its ten targets, as Page 81/84
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+<!-- image -->
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+Copyright : chronicle.augusta.com
+
+## Bookmark File PDF Year 4 Numeracy Essment Test
+
+Papers And Answers imperative to ensure every child has a right to an appropriate education of high quality.
+
+Copyright code : 3027880181355 367d10e15f543a059f1

tools/benchmark-harness/vendored/docling/md/nougat_009.md

@@ -0,0 +1,162 @@
+Promoted
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+## Targeting with precision: BlackRock and LinkedIn
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+<!-- image -->
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tools/benchmark-harness/vendored/docling/md/nougat_010.md

@@ -0,0 +1,83 @@
+Copyright : johnbaronmp.org
+
+## Kindle Keyboard User uide 3rd Edition
+
+Eventually, you will utterly discover a supplementary experience and endowment by spending more cash. still when? complete you recognize that you require to get those every needs subsequently having significantly cash? Why don't you try to acquire something basic in the beginning? That's something that will lead you to comprehend even more vis--vis the globe, experience, some places, like history, amusement, and a lot more?
+
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+
+## Kindle Keyboard User uide 3rd
+
+View and Download Amazon Kindle Kindle Keyboard 3 user manual online. Amazon Kindle Kindle Keyboard 3 : User uide. Kindle Kindle Keyboard 3 ebook reader pdf manual download. Also for: Kindle.
+
+## AMAZON KINDLE KINDLE KEYBOARD 3 USER MANUAL Pdf Download
+
+Kindle E-Reader User and Quick Start uides These guides will help to familiarize you with your Kindle E-Reader. Note: To determine the Kindle E-reader model you're using refer to Identify Your Kindle E-Reader .
+
+## Kindle E-Reader User and Quick Start uides - amazon.com
+
+Your Kindle Touch features a touchscreen interface that allows you to perform many tasks with just a tap or swipe of a finger. To select an item, simply tap it. For example, tap a book cover or title on your Home screen to open the book, or tap a button to perform that button's action. Onscreen keyboard Your Kindle Touch has an onscreen keyboard.
+
+## Interacting with your documents 21 Text-to-Speech 22
+
+Kindle Keyboard User uide kindle keyboard user guide Kindle User's uide Kindle User's uide 7 Chapter 1 etting Started Keyboard tips: Tap the key to enter numbers or symbols Tap the to return to the regular keyboard Tap the Shift key to enter uppercase characters Tap the Shift key twice to enter all-cap mode, and tap it once to exit the mode
+
+## [Book] Kindle Keyboard User uide
+
+View and Download Amazon Kindle user manual online. 3rd Edition. Amazon Kindle ebook reader pdf manual download. Also for: Kindle d00901.
+
+## AMAZON KINDLE USER MANUAL Pdf Download | ManualsLib
+
+Previous Software Updates for Kindle E-Reader Haven't used or updated your Kindle device for a while? Depending on your device and current software update version, you may have to install a previous software update before installing the latest version.
+
+## Previous Software Updates for Kindle E-Reader - amazon.com
+
+Kindle Store. You can also use the keyboard to create notes while reading. All of these are covered in more detail later in this guide. Kindle User's uide 12 Welcome etting Registered If you bought your Kindle with your Amazon account, it is already registered with your account
+
+## user's guide
+
+Kindle 3 - This third-gen product is the last one that came with a full keyboard. It has four rows of buttons along with two page turn buttons on the right side.
+
+## Which Kindle do I have? A quick guide to identifying
+
+I think the Kindle keyboard is the best kindle - it's the got the page-turn buttons. I know my Kindle won't last forever (and now getting ink line drop outs) - but your instructions gave it more life! Reply. Peter says: November 27, 2019 at 11:14 am That's brilliant. It worked. Many many thanks. Reply.
+
+## HOWTO: Soft/Hard reset your Kindle 3 w/ keyboard | Kurt's
+
+Kindle - 3rd eneration - need help on factory reset I have a Kindle 3rd generation ("kindle keyboard" per the amazon site) and the most of the screen has frozen on me (including the menus). I tried going through Amazon support, but they stated they did not have a 3rd generation to walk me through the steps and basically tried to sell me a new one.
+
+## Kindle - 3rd eneration - need help on factory reset : kindle
+
+4. Turn on the Kindle by sliding and releasing the power button. 5. If Kindle is still not working, you can perform a hard reset by sliding and holding the power button for 15 seconds. 6. If Kindle is still unresponsive, try charging Kindle before trying to restart the device once again.
+
+## Customer Support for frozen Kindle 3, a 15 second fix to
+
+A full list of affected Kindle devices follow. Kindle 1st eneration (2007) Kindle 2nd eneration (2009) Kindle DX 2nd eneration (2009) Kindle Keyboard 3rd eneration (2010) Kindle 4th eneration ...
+
+## Old Kindles will be disconnected from the internet unless
+
+If your Kindle is linked to your Amazon account ,simply log into your Amazon Content and Devices dashboard and click on the 'Your Devices' tab. Select the Kindle you want to update and read the notation beside it, like so: In the case of the Kindle I'm interested in updating today, the first four characters of the serial number are B0D4.
+
+## How to Manually Update Your Kindle
+
+Kindle Keyboard (3rd generation) The power switch for the Kindle Keyboard (not pictured) is located on the bottom edge of the device, next to its microUSB port. Kindle DX.
+
+## How to turn your Kindle on or off: Finding the power
+
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+
+## Amazon Kindle Keyboard 3rd eneration eReaders for sale
+
+Amazon announced the third-generation Kindle, later renamed "Kindle Keyboard", on July 28, 2010. Amazon began accepting pre-orders for the Kindle Keyboard as soon as it was announced and began shipping the devices on August 27, 2010. On August 25, Amazon announced that the Kindle Keyboard was the fastest-selling Kindle ever.
+
+## Amazon Kindle - Wikipedia
+
+Amazon Kindle Keyboard 3rd en-3 -Wi-Fi 6"- 1700 Books on CD--Bundle-Mint no ads. $99.95. Free shipping. Make Offer - Amazon Kindle Keyboard 3rd en-3 -Wi-Fi 6"- 1700 Books on CD--Bundle-Mint no ads. Amazon Kindle Keyboard (3rd en) 4 B Wi-Fi +3 w/ Leather Nightlight Case Bundle. $75.00 3d 23h
+
+## Amazon Kindle Keyboard 3rd eneration Wi-Fi + 3 Tablets
+
+Kindle Keyboard 3rd eneration (2010) Kindle 4th eneration (2011) Kindle 5th eneration (2012) Kindle Touch 4th eneration (2011) Kindle Paperwhite 5th eneration (2012) Read more: You're probably paying 2X what you should for cell phone service. The good news… If you hear about this update after March 22, 2016, don't throw your Kindle away!
+
+Copyright code: d41d8cd98f00b204e9800998ecf8427e.

tools/benchmark-harness/vendored/docling/md/nougat_011.md

@@ -0,0 +1,287 @@
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+## STEAMBOAT SPRINGS PLANNING COMMISSION
+
+## PUBLIC HEARING MINUTES
+
+June 7, 2018
+
+The regularly scheduled public hearing of the Steamboat Springs Planning Commission was called to order at approximately 5:00p.m. on Thursday, June 7, 2018, in the Citizens' Meeting Room, Centennial Hall, 124 10th Street, Steamboat Springs, Colorado.
+
+Planning Commission members in attendance were:
+
+Chair Rich levy, Lee Calihan, Martyn Kingston, George Eck, Michael Buccino, Tom Ptach and alternate Paul Weese.
+
+Absent: Adams
+
+Staff members present were Principal Planner Rebecca Bessey and Planning Director Tyler Gibbs.
+
+\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+## PUBLIC COMMENT ON ITEMS NOT ON THE AGENDA
+
+None.
+
+## #1: FDP-17-08, Riverview Subzone C STAFF PRESENTATION
+
+## Rebecca Bessey
+
+This is a final development plan application for six duplexes on Riverview C lots, C1-C6. We reviewed this application under the old code as well as against the major amendment to the PUD that you all heard at your last meeting. If this is to be approved, it would be contingent upon approval of the second reading of that PUD amendment.
+
+We found that the proposal complies with the PUD standards as proposed to be amended with the exception of Lot C5 just falling short of the minimum lot coverage requirement. We've added a condition of approval that indicates that prior to building permit on that lot they would have to demonstrate that they could meet that lot coverage standard. As long as they were still in substantial conformance with the final development plan before you tonight, we felt that would be an appropriate way to move forward on that standard for that particular lot.
+
+The applicant is requesting a ten-year vesting period. The standard vesting period for a final development plan is three years with the potential for an administrative extension of either two or three years. If the ten-year proposal is approved, that would be subject to a development agreement that would lay out that vesting period, and there would be no administrative extensions of that ten-year period.
+
+Staff is recommending approval of the project subject to the conditions in the packet.
+
+## APPLICANT PRESENTATION
+
+Mark Scully, Applicant:
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+Scully introduced his team, including Bob Weiss, Ryan Spaustat and Lu Beaker.
+
+## Lu Beaker, Applicant Representative
+
+We did have some good conversations with staff that helped guide us through the city codes and processes trying to find the right fit for this project that met both the PUD guidelines and requirements on a prescriptive basis but also met the qualitative standards within this very strategic site.
+
+This particular site has another benefit in addition to being in walking distance of everything downtown offers in that it's got about 900 feet of the Yampa. So you have the feel of an urban environment but can quickly detach from that and be in a pastoral river frontage. So these duplexes have obligations to satisfy both the character of a river home as well as an urban setting.
+
+We do a lot of work in the mountains and resort communities but also in authentic communities - not just Vail and Aspen but places that grew up out of a heritage and rustic culture that's embedded in this place. What is attractive about Steamboat in many ways to me is that rustic character in that things feel worn and they age graceful, and it's not too precious. The buildings here and the spirit of downtown is very much celebrating an active lifestyle. This idea of refined is to me emerging, but I really embrace that kind of rustic character that you all have.
+
+Architecture downtown I think is rich and vibrant and walkable and pedestrian. Tectonically, it's diverse with wood and stone/masonry buildings. The new buildings are still reflective of history maybe a bit reinterpreted, but they still have that walkable scale and pedestrian focus. But there are anomalies with buildings that are eclectic and forward-looking in this community. There's a lot of rehab and construction downtown. The Olympian has more of a mountain heritage with timber and glass and starts to be more grand and open to the views. The fire station is being embraced and built upon and celebrated, as well as some of the more residential and transition scale as you move closer to the river frontage with both the material palates and forms and composition of form. I think it's neat to think of what the emerging character of downtown Steamboat is.
+
+Looking at more of the mass and scale, the buildings along Lincoln are bigger and more urban, and the character of buildings along Yampa start to break down and become more residential and scattered with the green spaces and river views coming through. In the overall Riverview PUD there was a lot of conversation about creating public access along 5 th and 4 th to the river frontage. That was something we used as a launch point when we started thinking about duplex designs was could we create an architecture that also started to break apart with six duplexes and a total of twelve residences versus a single multi-family type of thing that would group those together. Could we create these view corridors and start to bring the greenscape up and through the buildings to activate the loop road and give visual access through the site much like you were doing with the PUD requirements of public access along the edges.
+
+The loop road has an urban character, and it is public access so people will be traversing back and forth. The character of the site and the landscape from street trees and the things that are within city standards of the intervals, plantings and snow storage exists along that. But as one moves from the loop road to the river frontage, the landscape transitions from a more structured area to a more organic and wild with the cottonwoods and willows all the way to the Yampa and aspens and transitioning landscapes and these
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+green fingers between the duplexes. It's important to me that the overall built environment isn't just architecture but contributes to the public realm in a significant way as well.
+
+As part of the Duplex Standards, buildings should architecturally represent a single-family structure, and the dwellings shall not mirror each other. Mirroring was a big conversation we had. What strategies in architecture, both in materials and forms and detail, could we incorporate in the actual architecture to start to offset this idea that buildings should not be a mirror of each other. The criteria in the code talks about duplex garages must be set back, so the ground floor garages are set back from the upper floors by a minimum of five feet to create more car storage on the driveway but also create that offset. Each front entrance must include a porch and covered entry. It's not just an entry that comes through a garage door, but visitors could come up to your front door and ring the bell like a regular home. Each side of the duplex must differ in at least two of the six design elements. The first way of satisfying that was that there's actually two types of duplexes: a Riverview Model A, which is a little bit shallower and a little wider, and a Model B which is a little skinnier and deeper. Those came out of the site constraints and looking at the way the site flared and bowed with the river frontage.
+
+One of the criteria that allow the duplexes not to read as a mirror image is the silhouette of the roof lines. Each half of the duplex has a planned shift of 3.5 feet down the centerline of the buildings. That allows the shadow lines in the roof to pull forward, and then as the buildings get closer to the gap between the units, they start to step back. So what we're trying to do is not to create a smooth line of that silhouette but actually break that up to create more vertical proportion and architectural silhouetting at the top line. Secondarily, you'll see the step between the ground floor, step-back at the garage, the middle floor mass, and in Model A, a third-floor step-back that erodes the corner to further articulate a secondary roof line and break that up as one moves along the loop road frontage.
+
+Another criteria in the Duplex Design Criteria is massing and building projections. I found inspiration in a building that already exists downtown of that garage step-back and pulling lines forward to create both shadow and that idea of the loft or that projected bay. So one half of the duplex projects forward, and the second half is recessed back in Model B.
+
+One of the duplexes starts to create more of that two-story vertical expression that then does that significant step-back at the third floor; the second duplex type starts to really stair-step the building even further away from the river frontage along the living room bays and then has a center mass. The goal of this is to create a lot more of a built-upon or stacked effect versus just the smooth facades that are uninterrupted.
+
+Entry was a criteria that should be considered as creating individuality. So within each type of duplex, one half of the duplex would be the entry doors coming in where the doorbell is. They would be rendered in a glass and more transparent way with a frosted glass garage door. The duplex on the other half would have the front door and garage door rendered in solid materials with different pattern. Secondarily, we would hope that property owners would start to personalize spaces with landscaping and planters and get that pride of ownership that you would have at your typical front door.
+
+The duplex criteria suggests that the buildings should be read as a single kind of material but a variety in terms of the textures and colors and patterns of how those materials are applied. For Duplex A, this is a cement board - very eco material - durable, fireproof, mold/mildew, doesn't fade. Very appropriate for
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+alpine mountain climates; rendered in a darker wood tone and then a lighter tone for the other half. As the third floor steps back, start to break those materials to further create that articulation. The exterior material palate is finished with some residential-grade Sierra Pacific aluminum-clad wood windows, very appropriate for the amount of sunshine in an alpine climate; metal, flat roof with snow storage on the roof versus shedding snow onto public ways or shoveling; designing roofs that can hold snow versus sloughing it off into the gaps between the buildings or onto areas where pedestrians are walking; using a lot of low-slope roofs and standing seam; the underside of the roofs would be wood to create some of that warm glow of materials.
+
+It renders a little naked when you just look at the buildings and think about just a couple little bushes along the front edge of the loop road, but it's important to also understand that in the package we've submitted as part of the FDP we have landscape planting plans and hardscape plans that include the character and variety of color and different vegetation from ash along the loop road, to the front-yard trees which would be aspen, and then the myriad of perennials and the different colors along the loop road frontage. So our hope is that this still feels rich and textural appropriate to the river frontage. Along the river, standing up on a raft in the river, the architecture starts to be fairly transparent with some different massing and the lifted roof forms on the top floor. Equally important to that is that the landscaping that exists to really foreground between the river and these residences does a lot to actually obscure the architecture from the river frontage. So I think that it doesn't become as abrupt as you imagine traversing along the river frontage when you filter it with the views of the vegetation, which also adds to that level of privacy and richness.
+
+Scully: I was at the Monday session, so I thought I'd proactively speak to the vesting. Why ten years? I would submit the following five points:
+
+While it's six duplex structures, it is twelve homes. They are more expensive homes; they're going to sell slower; I think more than five years would be anyone's bet.
+
+Just as importantly is the architectural integrity of what we're trying to do along the river, which is to create that variability but also that consistency and integrity that I think will be a beautiful presentation along the river.
+
+The seasonality here just slows you down.
+
+If there's a recession, it's easy to lose three years in that window, especially when you have a phased project like this.
+
+We just finished selling out Howelsen Place and Alpenglow; unfortunately, they were built ten years ago; obviously, the recession dictated five of those years.
+
+Of course, we'll meet all current building codes; fire/life safety; whatever is in place at that point in time. It's really just the architectural integrity we want to have stand the test of time.
+
+## QUESTIONS FROM COMMISSIONERS
+
+Commissioner Eck:
+
+All we got in the packet was that longer vesting may be approved through a development agreement. Do we have criteria to consider this, or it's just whatever?
+
+Bessey: The code establishes the standard vesting period; it says a longer vesting period may be requested and approved through a development agreement. That request is required to come in with the
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+development plan; they can't come in later and ask for it. But there are no criteria, so it's really based on the applicant's reason for the request and if you feel that's appropriate.
+
+## Commissioner Kingston
+
+What was the rationale behind the three years in the code?
+
+Bessey: I think many years ago there was no specific time period in the code. Prior to 2001, I believe there was lifetime vesting. That became problematic, so in 2001 when the CDC was rewritten there were these specific timeframes included with the potential that Council and Planning Commission could approve a longer period for specific reasons. Why we landed on three years versus two or four, I don't know.
+
+Eck: Can one side of a duplex get a CO with the other side being incomplete?
+
+Bessey: They'll construct an entire duplex at one time.
+
+Beaker: To get a CO we require all the life safety conformance and all that for the full building, so we couldn't leave the other half that's not completed in a condition that is unsafe.
+
+Bessey: I believe it requires two building permits, but Lu is correct that the Building Department has minimum requirements that would have to be met in order to sign off on a CO for one side.
+
+Eck: Does staff feel that the condition regarding the 35% for that one lot is sufficient? I was asking about that on Monday because in reading that, I was confused about what needed to happen following this.
+
+Bessey: They're at 34 on that site. In speaking with the architects, they felt that there were some pretty minimal changes to the footprint of that building that they could make in order to bring that lot into compliance. Often times we see slight changes to a building when it comes through for building permit, because once they get their development plan approved they go to construction drawings, and sometimes things are tweaked. We have a review that we do when a building permit comes through, and we look at it to make sure that the permit meets our code. In addition to that, we look at what's proposed in the building permit application and compare it to what was approved in the development plan to make sure that it's in substantial conformance and that they don't come back with something drastically different and out of conformance with what Planning Commission and City Council approved. In talking with the applicant's team, we felt that with that condition we are making it clear that we expect that the lot will comply with the standards and fall within substantial conformance.
+
+## Commissioner Ptach
+
+Does staff have a position on the ten-year vesting?
+
+Bessey: We didn't take a strong stand on that one way or the other. I think we heard more tonight from the applicant regarding their reasoning for their request.
+
+Kingston: Is there a precedent on ten-year vesting up front when it's more than330% more than what's stipulated in the code? That's an exceptionally-large jump from three years to ten years. Given that
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+applicants can request extensions in the context of a recession or a change in the market, why are we doing this if there is no precedent historically for a 330% increase in the vesting period?
+
+Bessey: I think that there have been projects that have been approved for longer periods of time up to ten years.
+
+## Commissioner Levy
+
+Any this small, though? I think they were all much larger, more complex projects to be honest.
+
+Bessey: I hesitate to speak to that because I can't say definitively offhand, but I thought that The Crawford project had an extending vesting period - it was five units, I think.
+
+Ptach: Is your crystal ball clear enough that this design is going to stand the test of ten years, or if you get four of them built, will you be looking for an amendment to the approved plan for something?
+
+Scully: We're kind of making that bet now. We're also setting HOA Design Standards for all of Riverview, which is big. It will be consistent with what you see here, and if it is to change, we would have to go through that amendment process. So we are comfortable with that.
+
+Ptach: I think this is certainly what the market is looking for these days, but as you know, in ten years markets can change rather drastically.
+
+Scully: Yes. But there's so many scenarios where ten years would be relevant to this piece of this puzzle, because it is a big puzzle. I could see the right half getting done first; God willing a hotel behind it coming second; and then the balance coming thereafter. It really is putting this whole thing together that will govern how these are built. That's why we asked for ten years.
+
+## Bob Weiss, Applicant Representative
+
+I've been dealing with this issue for four decades. At one point the city's process was to allow one-year extensions indefinitely. There were projects I remember that I got 20 extensions. I can't recall that anyone ever built one, but it was used as a hammer. The applicant would come in and say: This was approved 20 years ago; nobody liked it; we've been getting these single-year extensions for 20 years. If you don't approve this, we're going to build this because we don't have any other choice.
+
+There was a reaction to that when the code was revised.
+
+The other thing that happened was one generation of code said: If you finish the first phase, you have an indefinitely vested project.
+
+That was deemed to be inappropriate.
+
+So what we ended up with was this three years business but the allowance to go to ten. I think with the expectation that given the complexity of the project, the expectation of the price point, market conditions as they might evolve, that Planning Commission and City Council could allow up to ten years. It's not really 330% because you can extend by application up to six. The three-year extension is generally granted in my experience. So we're really going from six to ten. I think the reason this is important to this applicant is because the certainty is important if you're dealing with other people that might buy lots,that might be interested in building here, you want to have a plan in place that will dictate what's going to be built so you have architectural consistency. If this plan expires, there's no approval on the site and you have a subdivided duplex lot. That means somebody could come in and struggle with
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+a design that's inappropriate. So I think from the city's standpoint and the developer's standpoint as well, it's better to have the extended vesting period so everybody knows what's going to be built on this property in a reasonable timeframe that the market can absorb.
+
+Buccino: What kind of price point are you talking about for these?
+
+Scully: With current construction pricing, about 900 per foot, 3300 square feet per townhome, you're about $2.85 million with a two-car garage. So 2.5-$3 million I would say.
+
+Levy: I think for the most part the reason for vesting is in case our plans and our vision change. That way the development plan doesn't outlast or overlap a new vision. But with a PUD, what would a new vision actually affect? Aren't all the architectural standards already in place? If we were to change our whole vision for downtown, their PUD is vested indefinitely, is it not?
+
+Bessey: It is. There's potential to amend PUD's, but I think that's a fair point to make. The infrastructure that's going to serve these lots is going to be completed as part of their plat and PUD requirements. So even if some of our infrastructure requirements changed, it wouldn't impact a future development plan on these sites significantly. Most of their standards are included in the PUD, but there are a number of standards such as the duplex and landscape standards that do fall back to our code. So there's some potential that some of those could change.
+
+In listening to some of the comments from the applicant just now and hearing the question about other vesting extensions for other larger projects, some thoughts that came to my mind:
+
+It is only six duplexes, but if you think of that, it's six separate buildings. When you have a multi-family project, once you decide to build you're building -- a building with a larger number of units in it at one time; they're all built, whether they're all sold up front or not. Just seeing how these aren't likely going to be built until they're sold, and we have six different buildings that have to go at different times, I do think that that's something to consider.
+
+I think it's our vision as well as the applicants that this whole Subzone C was going to develop as one cohesive development. I don't think anyone envisioned that these would develop as completely separate lots with very different-looking duplexes on them but that they are developed as one cohesive development; it may just take more time for that to be completed.
+
+Kingston: I just worry about having a semi-finished construction project that's so high profile at that point in town stretching out over ten years.
+
+Bessey: I don't think a shorter vesting period is going to make them build these faster; I think what you would potentially see is that they don't all sell and get built within a shorter period, and they have to come back with something else, which has the potential to be different.
+
+Levy: Besides the Duplex Standards, can you think of other city codes or standards that might change that are not covered by the PUD?
+
+Bessey: No, not anything that I think would drastically impact…
+
+Beaker: That was a question that we wrestled with. I think building codes and energy codes do change, whether it's coming from a municipality or at a state or federal level. These are designed robustly to be
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+above and beyond minimum code standards, but Denver is going through a Green Roofs Initiative for flat roofs; 50% of your flat roof has to be PB or Green Roof. That could come to some of the big duplexes later. I would think that we would have to fall under those guidelines at that time we would be intending to go for building permit for that chunk of duplexes. Energy code is one that moves fairly rapidly and keeps us on our toes.
+
+Levy: If they were to break ground in year nine, how does that affect the overall timing of the project?
+
+Bessey: All of the buildings would have to have a building permit pulled within the vesting period.
+
+Levy: And the building permit would only last a certain amount of time as well, correct?
+
+Bessey: Correct.
+
+Scully: The Metro District will be doing substantial landscaping and public space improvement before we do anything. You won't see an ugly presentation on the river, even when it's not built. We're spending $2.5 million to make it look great, which benefits all of us as we bring other investors to the site.
+
+Kingston confirmed that if they go through the PUD amendment process five years from now, the vesting period associated with that proposal would supersede the period approved with this proposal.
+
+## PUBLIC COMMENT
+
+None.
+
+## COMMISSIONER DELIBERATION/MOTION
+
+Commissioner Ptach moved to approve FDP-17-08 with conditions 1-8 as stated with a period of ten years of vesting as specified in Condition #2.
+
+Commissioner Eck seconded the motion.
+
+## DISCUSSION ON MOTION
+
+Kingston asked about the public access to the river during the ten-year period.
+
+Bessey: As a condition of both the PUD and the preliminary plat, the applicants are going to be developing a soft-surface trail that will connect the two river access points at the terminus of 3 rd Street and 4 th Street. That infrastructure and the landscaping in the riparian buffer area will all be completed separate from this application.
+
+Kingston: When is that period of time?
+
+Bessey: All of those infrastructure requirements that were identified as the initial phase, including the trail and the riparian buffer as well as the river access points, will have to be completed prior to issuance of a CO for any of these duplexes.
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+Kingston asked whether that public access would be affected by construction.
+
+Bessey: There are some provisions I believe in the easement agreements that we're still finalizing that would allow for some temporary closures potentially to some of the public access during construction. But it's based on approval by the city, so it wouldn't be shutting down the trail for ten years. But if there's a circumstance where one unit was under construction and the trail needed to be closed for safety purposes for a short period of time,that would be allowable.
+
+Eck: Ten years for six duplexes I think is a lot. What got me here is it's a PUD; it's not going to change. Some things might change like landscaping, but their landscaping design is well above anything we could conceivably require in the next ten years. So if it wasn't a PUD I don't think I'd be supporting it, but I think it's appropriate here.
+
+Ptach: Looking at the price point of these and knowing the market, it's taking anything over 1.5-$2 million at least a year to sell. This is new product; it may move quicker; but at 2.5-$3 million, it's not unreasonable to think that these things will take 8-10 years to fully sell out.
+
+Buccino: I disagree. I think that they have it priced reasonable. There's not many places in Colorado that are on a river, so they have a very, very unique property. They only need twelve people to buy them; I don't think you're going to need ten years at all. If it wasn't a PUD, I probably would not agree with ten years because I don't want to start setting precedent for it. I think three years with a two or three year extension is sufficient; I think they'll sell by then. It's not going to take ten years.
+
+Weese: I would say that it could easily take ten years. These units are not that easy to build. If there is weather involved, there could be a really large issue overall with having to wait to get these things constructed. I can see the first several units having a lot of interest and possibly selling. Irrespective of that, the applicant is right. We have market changes that are imminent; we just don't know the timing of it. Overall, it's a great project and it's going to take time to build out. Will it take ten years to sell them all? I don't know. Will it take ten years to build them all? Possibly.
+
+Overall, I think ten years is a realistic request, especially because they're not going to come back and ask for anything else regarding the vesting period.
+
+Levy: I tend to agree with the PUD comments. I think that overrules any future changes that might affect this property. So I don't have a problem with ten years at this time.
+
+Kingston: I agree with the PUD comments. I've been struggling with the vesting period, but I think if the first couple units sell there's going to be incentive to build and sell the next one and the next one. If that doesn't occur as quickly, then obviously the ten-year vesting period makes some sense. I'm just concerned that this beautiful project get created from start to finish as quickly as possible. If the units sell, there's going to be no reason for you to not build the next unit to sell it, right? So I think that line of logic tells me that if you do need the ten years, it's probably for a good reason.
+
+## VOTE
+
+The motion carried unanimously.
+
+FINAL MINUTES Planning Commission Minutes June 7, 2018
+
+## FINAL MINUTES
+
+## #2: Approval of Minutes: May 24 Public Hearing
+
+Commissioner Eck moved to approve the May 24, 2018 meeting minutes; Commissioner Buccino seconded the motion.
+
+The motion carried unanimously.
+
+## Director's Report
+
+Gibbs: The Downtown Working Group will meet again next week to review the public comment and survey results. We got 634 individual responses; we were very pleased with that. We're planning a second round of public open houses on July 12.
+
+## Adjournment
+
+Commissioner Buccino moved to adjourn the meeting at 5:50 p.m. Commissioner Eck seconded the motion. The motion carried unanimously.

tools/benchmark-harness/vendored/docling/md/nougat_012.md

@@ -0,0 +1,102 @@
+- A. Comments from Citizens
+- B. Approve minutes from meeting of 6/14/21
+- C. Appoint one Commissioner to approve warrants while conducting meetings virtually
+
+## D. OLD BUSINESS
+
+1. Update on Per- and Poly-Fluoroalkyl Substances (PFAS).
+
+- Notice of Non-Compliance from MA DEP
+- Current sample data, if available
+- Any updates or discussion from PFAS Working Group
+
+2. Update on proposed solar arrays off Lawsbrook Road & Knox Trail
+
+## E. NEW BUSINESS
+
+1. Annual Consumer Confidence Report (CCR) for 2020
+2. Meeting schedule for July-December 2021
+
+## Present at Tonight's Meeting
+
+Commissioners: Erika Amir-Lin, Barry Rosen (Chair), Stephen Stuntz
+
+District Manager: Chris Allen
+
+District Treasurer: Mary Jo Bates
+
+District Counsel: Mary Bassett
+
+Environmental Manager: Matthew Mostoller
+
+Finance Committee: Chuck Bradley
+
+Citizens:
+
+Ron Parenti
+
+Victoria Selesnik
+
+The meeting was called to order at 7:00 PM on Monday, June 14, 2021 by Mr. Barry Rosen.
+
+## A. Comments from Citizens
+
+There were no comments from citizens.
+
+## B. Approve Minutes from Meeting of 5/24
+
+Mr. Stuntz motioned to approve the minutes of June 14, 2021. Ms. Amir-Lin seconded the motion, and it was unanimously approved by a roll call vote:
+
+Ms. Amir-Lin, yes
+
+Mr. Stuntz, yes
+
+Mr. Rosen, yes
+
+## Board of Water Commissioners Meeting Minutes Acton Water District
+
+## 693 Massachusetts Avenue, Acton, MA Monday, June 28, 2021
+
+Pursuant to Governor Baker's March 12, 2020 Order Suspending Certain Provisions of the Open Meeting Law, G.L. c. 30A, §18, and the Governor 's March 15, 2020 Order imposing strict limitation on the number of people that may gather in one place, this meeting was conducted via Zoom.
+
+## AGENDA
+
+Mr. Rosen motioned to appoint Ms. Amir-Lin as the Commissioner to approve warrants while conducting meetings virtually. Mr. Stuntz seconded the motion, and it was unanimously approved by a roll call vote:
+
+Ms. Amir-Lin, yes
+
+Mr. Stuntz, yes
+
+## D. OLD BUSINESS
+
+## 1. Update on Per- and Poly-Fluoroalkyl Substances (PFAS)
+
+Mr. Allen informed the Board that the District has received a Notice of Non Compliance from MA DEP for the North Acton Treatment Plant. The quarterly average of PFAS concentration for the first quarter exceeded the 20 ppt. A response is required within 30 days, July 9, 2021, with a plan to address the problem. Mr. Allen indicated that the District has altered pumping schemes, and that the May sample was at 19.9 ppt. Mr. Mostoller informed the Board that the plant is currently not serving water to customers. June sample results have not been received yet. The South Acton treatment plant sample for May was 16 ppt. Mr. Allen updated the Board on the progress of the PFAS working group. Currently, they are researching alternate supply, including bottle filling stations, rebates to those in the sensitive sub-population for purchase of bottled water, and temporary treatment for the North Acton treatment plant. Ms. Selesnick asked if there were considering rebates for treatment for residents. Mr. Allen indicated that currently that is not being discussed.
+
+## 2. Update on the proposed solar arrays off Lawsbrook Road & Knox Trail
+
+Mr. Allen provided an update on the solar projects. EDF will be mobilizing to the Lawsbrook Road site within the next 2 weeks. Construction is expected to be completed by the end of 2021, with commissioning in early 2022. The alternate on bill credit agreement is still under negotiation. The Knox Trail site is in the conceptual design phase. The Lawsbrook Road site will be completed first and then they will move on to Knox Trail. The PILOT for Knox Trail still needs to be negotiated with the Town of Acton. It will be a direct municipal benefit for the Knox Trail site, as the District will take all of the power generated. This should simplify the PILOT negotiation.
+
+## E. NEW BUSINESS
+
+## 1. Annual Consumer Confidence Report(CCR) for 2020
+
+Mr. Allen informed the Board that the CCR has been published and all customers were notified that it is available.
+
+Mr. Rosen observed that he has seen violations of the lawn watering program and asked what can be done to get customers to comply. All customers with an email on file have received notice of the lawn watering program. There is a message on all the bills, which will be out the first week in July. Mr. Allen will ask the Town of Acton to advertise on their electronic sign boards. Mr. Allen said that employees regularly police for violators, usually in the early morning hours. Customer are warned, then fined, starting at $50 and escalating to $200. There are also a number of private irrigation wells in town. Mr. Mostoller reminded the Board that with the Water Management Act Permit up for renewal this year, the irrigation program may be impacted.
+
+## 2.Meeting Schedule for July - December 2021
+
+Mr. Allen presented the schedule for the remainder of 2021. The schedule currently lists 2 meetings a month for the summer, due to the ongoing PFAS issues.
+
+The Commonwealth of Massachusetts has extended the option of virtual meetings through April 2022. The Board will continue with remote meetings until that time.
+
+Mr. Stuntz motioned to adjourn the open meeting at 7:55 pm. Ms. Amir-Lin seconded the motion and it was unanimously approved by a roll call vote:
+
+Ms. Amir-Lin,yes
+
+Mr. Stuntz,yes
+
+Mr. Rosen, yes
+
+Mr. Rosen, yes

tools/benchmark-harness/vendored/docling/md/nougat_013.md

@@ -0,0 +1,38 @@
+<!-- image -->
+
+## The Visual Meeting
+
+## Tools For Radical Engagement
+
+A talk by Guillaume Wiatr, Principal &amp; Founder of MetaHelm
+
+## Introduction
+
+Someone schedules a meeting, and you're in charge. So what's the first thing you do? Open up a PowerPoint template? That might be the correct answer, but what if, rather than showing the audience a static product, you took them through an involving process? What if you built the visuals as you went along with markers, paper, whiteboards, and your own humble drawing skills? We've done it and seen it, and the result is a more engaged audience that contributes better ideas and remembers what you've shown them. If you can put a stick figure down on paper, you can run a better meeting, and we'll gladly show you how.
+
+## Description
+
+Let's start by saying it again: You don't have to be the least bit capable of drawing to start running more involving, more visually stimulating meetings. Guillaume will prove that throughout this talk as he takes you through a mix of examples and case studies while loosening PowerPoint's death grip on your way of running meetings.
+
+## What attendees will learn
+
+- Why real-time visual meeting facilitation works better than pre-produced slides.
+- Fundamental principles of visual facilitation.
+- When to draw and when to use PowerPoint.
+- Getting comfortable with drawing even if you've convinced yourself you can't draw.
+- Drawing to think, drawing to facilitate, drawing to communicate.
+- The low-tech, non-digital tools you need to run a successful visual meeting.
+
+## Themes
+
+Innovation, Strategy, Creativity, Thought Sketching, Ideation, Co-creation, Alignment, Collaboration, Leadership, Team Engagement.
+
+## Audience
+
+C-suite executives, Business Leaders, Strategists, Facilitators, Entrepreneurs, Founders, Innovators, Startup Creators, Team Leaders, Inventors.
+
+## Format
+
+In-person or virtual.
+
+Speaking engagement of 15 t0 60 minutes, available in English or French.

tools/benchmark-harness/vendored/docling/md/nougat_015.md

@@ -0,0 +1,89 @@
+Copyright : encosia.com
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tools/benchmark-harness/vendored/docling/md/nougat_016.md

@@ -0,0 +1 @@
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_017.md

@@ -0,0 +1,52 @@
+New Energy Solutions Optimised for Islands Country Islands
+
+<!-- image -->
+
+- ' ' The project has the potential to significantly reduce air pollutants, both locally in Orkney and in the mainland events switching from portable diesel generators to green hydrogen
+
+## What is the project about?
+
+- The Orkney Island archipelago has abundant wind and marine resources and currently produces more electricity than it consumes. Orkney has also become a UK leader in the adoption of green hydrogen. Future expansion of local renewables and hydrogen production on Orkney is limited by the relatively small size of local markets, electricity interconnector constraints and the lack of transport mechanisms for moving hydrogen from the Island to the mainland.
+- The project is a feasibility study aiming to identify a safe and viable transport logistic solution for the transportation of green hydrogen gas produced on Orkney to the mainland with the aim of replacing diesel fuelled generators with a zero carbon and zero pollution alternative.
+
+## How will the EU Islands Facility NESOI support the project?
+
+- Assessment of local green hydrogen production potential
+- Identification of suitable technological options for green hydrogen storage in Orkney and transportation
+- Cost Benefit analysis; socio-economic and environmental impact evaluation
+- Health, Safety and Risk analysis for the identified solutions
+- Business modelling and identification of target stakeholders to kick-off a green hydrogen value chain in Orkney
+- Identification of financing/funding options
+- Action plan for the roll-out of a green hydrogen value chain in Orkney
+
+NESOI contact: Stefano Barberis, RINA Consulting, stefano.barberis@rina.org
+
+The EU Islands Facility NESOI is pleased to introduce the clean energy projects receiving its support:
+
+## GO(H2)ME
+
+900,000 €
+
+## Green Orkney Hydrogen Market Expansion
+
+<!-- image -->
+
+<!-- image -->
+
+## Project promoter
+
+PlusZero Limited
+
+<!-- image -->
+
+Project value
+
+900,000 €
+
+<!-- image -->
+
+<!-- image -->
+
+Wind turbines on the isle of Sanday, Orkney archipelago (Photograph: Michael Roper/Alamy Stock Photo)
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_018.md

@@ -0,0 +1,323 @@
+## International Championship of the Polish Optimist Dinghy Association
+
+September 16th to September 18th
+
+Dziwnów, POLAND
+
+<!-- image -->
+
+| Results - OPTIMIST A |
+| -------------------- |
+
+<!-- image -->
+
+|     | Sail Number Helm                   |     | Gender | Age (by vintage)                    | Club | Cat. F | Scores   | Q1      | Q2    | Q3  | Q4  | Q5        | Q6    | Q7    | Q8 F9 | F10   |
+| --- | ---------------------------------- | --- | ------ | ----------------------------------- | ---- | ------ | -------- | ------- | ----- | --- | --- | --------- | ----- | ----- | ----- | ----- |
+| 23  | POL 1868 Maksymilian Cymerman      | M   | 14     | UKS BARNIM GOLENIÓW                 |      | 95,0   | 8        | 5       | 6     | 3   |     | 11 8      | 11    | 9     | (49)  | 34    |
+| 24  | GER 13613 Fabio Seutz              | M   | 14     | SV 03                               |      | 98,0   | 25       | 10      | 9     | 5   |     | 6 9       | 6     | 7     | 21    | (29)  |
+| 25  | DEN 8553 Malthe Ebdrup             | M   | 13     | ROYAL DANISH YACHTCLUB              |      | 99,0   | 19       | 2       |       | 6   | 12  | 9 7       | 14    | 5     | 25    | (47)  |
+| 26  | SWE 4589 Jonathan Llado Krensler   | M   | 13     | RÖSS                                |      | 102,0  | 4        |         | (ufd) | 2   | 6   | 4 2       | 5     | 4     | 44    | 31    |
+| 27  | GER 13663 Max Koerner              | M   | 13     | MYC                                 |      | 107,0  | 24       | 8       |       | 11  | 5   | 5 5       | 9     | 8     | (50)  | 32    |
+| 28  | SWE 4658 Hedvig Liljegren          | K   | 14     | KSSS                                | 4    | 108,0  | DPI (11) | 11      |       | 5   | 3   | 5 (ufd)   | 6     | 2     | 20    | 45    |
+| 29  | GER 13489 Josse Bonatz             | M   | 14     | KYC                                 |      | 108,0  | 20       |         | 14    | 9   | 15  | 2 19      | 11    | 6     | (22)  | 12    |
+| 30  | SWE 4656 Liljegren Hugo            | M   | 11     | KSSS                                |      | 109,0  | 9        |         | 3     | 5   | 15  | 12 7      | 8     | 12    | 38    | (dnc) |
+| 31  | SWE 4669 Calle Lindbom             | M   | 13     | LDSS                                |      | 114,0  | 12       | 3       |       | 10  | 4   | 14 12     | 15    | 19    | (52)  | 25    |
+| 32  | POL 1801 Gustaw Miciński           | M   | 12     | YKP GDYNIA                          |      | 114,0  | 13       | 12      | 10    | 5   |     | 6 12      | 5     | 7     | (76)  | 44    |
+| 33  | SWE 4681 Lukas Lindström           | M   | 12     | RÖSS                                |      | 120,0  | 1        | 1       |       | 11  | 15  | 25 22     | 4     | 10    | 31    | (39)  |
+| 34  | POL 1747 Juliusz Hebel             | M   | 13     | BAZAMRĄGOWO                         |      | 120,0  | 14       | 12      | 14    | 6   |     | 9 (43)    | 10    | 8     | 27    | 20    |
+| 35  | SWE 4622 Carl Hörfelt              | M   | 11     | LESS                                |      | 125,0  | 9        | 4       | 6     | 7   |     | 3 (ufd)   | ufd   | 5     | 6     | 6     |
+| 36  | POL 1867 Pola Dzik                 | K   | 12     | YKP GDYNIA                          | 5    | 125,0  | 3        | 14      | 13    |     | 8   | 10 6      | 13    | 15    | (46)  | 43    |
+| 37  | SWE 4673 Martina Carlsson          | K   | 14     | LESS                                | 6    | 126,0  | DPI (16) | 11      | 1     | 10  |     | 8 6       | 7     | (bfd) | 15    | 52    |
+| 38  | POL 1759 Jakub Ławicki             | M   | 14     | OPTI CWM GDYNIA                     |      | 139,0  | 22       | 19      | 11    |     | 8   | 16 4      | 9     | 8     | (47)  | 42    |
+| 39  | SWE 4543 Oscar Löfgren             | M   | 13     | KSSS                                |      | 141,0  | DPI (11) | 6       | 15    |     | 12  | 7 6       | 15    | 9     | (68)  | 60    |
+| 40  | SWE 4633 Granath Simon             | M   | 12     | KSSS                                |      | 144,0  | 10       | 5       | 8     |     | 11  | (ufd) ufd | 4     | 6     | 11    | 10    |
+| 41  | GER 13584 Bahr Jesper              | M   | 13     | LÜBECKER SEGLER VEREIN              |      | 145,0  | 36       | 2       | 3     | 14  |     | 17 14     | 13    | 16    | (43)  | 30    |
+| 42  | GER 13223 Lisa Renkes              | K   | 14     | SCGN (GER)                          | 7    | 148,0  | 18       | 9       | 16    |     | 9   | 5 11      | 13    | 19    | 48    | (70)  |
+| 43  | GER 1102 Anna Barth                | K   | 12     | MSC                                 | 8    | 154,0  | 2        | 9       | 13    |     | 13  | 7 10      | 14    | 25    | 61    | (67)  |
+| 44  | GER 13171 Lanzinger Jakob          | M   | 14     | SCBC                                |      | 157,0  | 30       | 29      | (32)  |     | 10  | 11 16     | 11    | 15    | 26    | 9     |
+| 45  | GER 13386 Dürholt Moritz-Alexander | M   | 12     | DUYC                                |      | 159,0  | 23       | 9       | 8     |     | 7   | 15 19     | 15    | 14    | (55)  | 49    |
+| 46  | GER 13530 Louisa Müller            | K   | 11     | BYC                                 | 9    | 166,0  | 9        |         | 9     | 8   | 10  | 24 18     | 14    | 21    | 53    | (66)  |
+| 47  | GER 1087 Schuetze Paula            | K   | 13     | BERLINER YACHT CLUB                 | 10   | 169,0  |          | (39) 21 |       | 25  | 28  | 17 23     | 8     | 9     | 17    | 21    |
+| 48  | POL 1674 Szczepan Damasiewicz      | M   | 13     | JKW POZNAŃ                          |      | 170,0  | 7        | 18      | 7     | 3   |     | 22 24     | 7     | 17    | (73)  | 65    |
+| 49  | DEN 8551 Helena Wolff              | K   | 12     | NRV                                 | 11   | 173,0  | 4        | 4       | 7     | 7   |     | 21 7      | (ufd) | 11    | 33    | dnc   |
+| 50  | POL 1807 Weronika Jaroszek         | K   | 14     | MKŻ OPTI                            | 12   | 175,0  |          | 26      | 32    | 21  | 11  | 15 21     | 15    | 12    | (56)  | 22    |
+| 51  | GER 13487 Jakob Porthun            | M   | 13     | SSV VON 1894                        |      | 180,0  | 2        | 8       | 14    |     | 28  | 13        | 25 25 | 10    | (60)  | 55    |
+| 52  | POL 1817 Stanisław Konarzewski     | M   | 12     | KS AZS AWFIS GDAŃSK                 |      | 180,0  | 40       | 23      | 16    | 24  |     | 12 11     | 6     | 11    | 37    | (56)  |
+| 53  | SWE 4148 Karl Larsson Tinnert      | M   | 14     | RÅÅ JOLLEKLUBB                      |      | 181,0  | 27       |         | 31    | 14  | 13  | 15 27     | 12    | 13    | 29    | (38)  |
+| 54  | GER 13570 Colin Liebig             | M   | 14     | SEGLERVEREINIGUNG 1903 BERLIN E. V. |      | 182,0  | 26       |         | 28    | 37  | 18  | 10 10     | 9     | (ufd) | 36    | 8     |
+| 55  | POL 1373 Kacper Żywiczka           | M   | 13     | CHKŻ CHOJNICE                       |      | 183,0  | (44)     | 39      | 10    | 30  |     | 20 14     | 10    | 11    | 30    | 19    |
+| 56  | POL 1949 Laura Szulc               | K   | 12     | CHKŻ CHOJNICE                       | 13   | 184,0  | 15       |         | 18    | 17  | 11  | 20 26     | 17    | 12    | (71)  | 48    |
+| 57  | GER 13500 Carl Krause              | M   | 11     | RSC92                               |      | 190,0  | 1        |         | 10    | 9   | 33  | 17 13     | 16    | 29    | (65)  | 62    |
+| 58  | POL 1991 Klara Sobczak             | K   | 12     | MKS DWÓJKA WARSZAWA                 | 14   | 190,0  | 17       | 14      |       | 17  | 19  | 29        | 16    | 18 10 | (51)  | 50    |
+
+|     | Sail Number Helm              | Gender | Age (by vintage) | Club                        | Cat. F |       | Scores   | Q1   | Q2  | Q3    | Q4    |          | Q5 Q6 | Q7    | Q8    | F9       | F10   |
+| --- | ----------------------------- | ------ | ---------------- | --------------------------- | ------ | ----- | -------- | ---- | --- | ----- | ----- | -------- | ----- | ----- | ----- | -------- | ----- |
+| 59  | SWE 4644 Johan Bengtsson      | M      | 13               | BKSS                        |        | 190,0 | 25       | 23   | 18  |       | 19    | 26 20    |       | 10    | 14    | (58)     | 35    |
+| 60  | POL 1780 Antoni Sapijaszko    | M      | 14               | KS SPÓJNIA WARSZAWA         |        | 191,0 | DPI (27) | 16   |     | 19    | 19    | 19       | 24    | 20    | 11    | (41)     | 36    |
+| 61  | SWE 4617 Theo Westerlind      | M      | 12               | KKKK                        |        | 193,0 | 14       | 10   |     | 5     | 13    | 13       | 8     | 20    | (dnc) | 57       | 53    |
+| 62  | CZE 412 Ondřej Müller         | M      | 15               | YC SK ŠTĚTÍ                 |        | 199,0 | 42       |      | 15  | 13    | 25    | 11       | 16    | (55)  | 9     | 42       | 26    |
+| 63  | IRL 1545 Trevor Bolger        | M      | 12               | ROYAL SAINT GEORGE YC       |        | 213,0 | 19       |      | 17  | 15    | 12    | 20       | 8     | 24    | 36    | 62       | (dnf) |
+| 64  | POL 162 Zosia Burska          | K      | 15               | YCC                         | 15     | 213,0 | 48       |      | 24  | 16    | 9     | 18       | 12    | 16    | 16    | (69)     | 54    |
+| 65  | GER 13274 Pia Conradi         | K      | 12               | DUISBURGER YACHT-CLUB       | 16     | 213,0 | 21       |      | 31  | 20    | 21    | 16       | 28    | 12    | 19    | 45       | (58)  |
+| 66  | ESP 2014 Mariona Rahola       | K      | 14               | NAUTIC EL BALIS-CATALUNYA   | 17     | 213,0 | 24       |      | 32  | 34    | 20    | 13       | 22    | 13    | 18    | (dnc)    | 37    |
+| 67  | POL 105 Maciej Panas          | M      | 12               | YKP GDYNIA                  |        | 216,0 | 18       |      | 16  | 18    | 18    | 22       | 8     | 22    | 31    | 63       | (71)  |
+| 68  | POL 1459 Oliwier Urbański     | M      | 13               | JKW POZNAŃ                  |        | 218,0 | 20       | 27   |     | 18    | 16    | 20       | 17    | 23    | 26    | (59)     | 51    |
+| 69  | GER 13525 Tobias Hollenbach   | M      | 12               | KYC                         |        | 221,0 | 14       |      | 17  | 15    | 22    | 22       | 20    | 27    | 18    | 66       | (68)  |
+| 70  | POL 1585 Agnieszka Pawłowska  | K      | 13               | LKS CHARZYKOWY              | 18     | 226,0 | 4        |      | 13  | 22    | 25    | 19       | 10    | 42    | 24    | 67       | (69)  |
+| 71  | SWE 4628 Erik Norlén          | M      | 11               | KSSS                        |        | 227,0 | 19       | 25   |     | 31    | 61    | 18       | 15    | 11    | 15    | 32       | (64)  |
+| 72  | GER 1096 Gröner Elisa         | K      | 13               | BERLINER YACHT-CLUB         | 19     | 231,0 | 22       | 18   | 12  |       | 17    | 8        | 6     | (ufd) | 14    | 75       | 59    |
+| 73  | SWE 4621 Louise Zetterström   | K      | 14               | BOSS                        | 20     | 231,0 | 40       | 23   |     | 13    | (dnc) | 9        | 15    | 17    | 7     | 28       | dnc   |
+| 74  | POL 1943 Rafał Pogorzelski    | M      | 13               | NAUTICUS YACHT CLUB OLSZTYN |        | 238,0 | 9        | 13   | 26  |       | 14    | DPI (32) | 24    | 18    | 39    | (70)     | 63    |
+| 75  | GER 13660 Sonja Tillwicks     | K      | 13               | SEGELKLUB BAYER UERDINGEN   | 21     | 238,0 | 18       | 33   |     | 11    | 15    | 14       | 27    | (ufd) | 16    | 64       | 40    |
+| 76  | LTU 95 Ernestas Juskevicius   | M      | 13               | BANGPUTYS                   |        | 255,0 | 18       | 4    |     | (ufd) | 23    | 8        | 31    | 7     | 13    | 72       | dnf   |
+| 77  | POL 1118 Wiktor Robaczewski   | M      | 13               | SSW MOS IŁAWA               |        | 255,0 | 11       |      | 12  | 14    | 20    | 28       | 9     | 39    | 48    | 74       | (dnc) |
+| 78  | GER 13668 Mats Schönebeck     | M      | 3                | NRV                         |        | 256,0 | 31       | 40   |     | 19    | 16    | 18       | 14    | 16    | 23    | (dnc)    | dnc   |
+| 79  | SWE 4584 Albert Norlén        | M      | 13               | KSSS                        |        | 162,0 | 25       | (37) | 30  |       | 32    | 14       | 18    | 21    | 18    | 1        | 3     |
+| 80  | GER 13252 Jacobs Malte        | M      | 13               | SSV VON 1894 E.V.           |        | 165,0 | (60)     | DPI  | 22  | 15    | 16    | 30       | 29    | 28    | 17    | 7        | 1     |
+| 81  | GER 13337 Paul Wenzel         | M      | 14               | MSC                         |        | 175,0 | (45)     | 21   | 23  |       | 23    | 19       | 31    | 19    | 25    | 6        | 8     |
+| 82  | POL 1806 Zuzanna Dominikowska | K      | 13               | MKŻ OPTI                    | 22     | 183,0 | 21       |      | 33  | 29    | 18    | 21       | 20    | 21    | (bfd) | 4        | 16    |
+| 83  | POL 2030 Jan Turczynowicz     | M      | 13               | KS SPÓJNIA WARSZAWA         |        | 188,0 | (51)     | 23   |     | 24    | 20    | 10 21    |       | 18    | 28    | 35       | 9     |
+| 84  | CZE 70 Mikuláš Vaszi          | M      | 14               | YC SK ŠTĚTÍ                 |        | 196,0 | (45)     | 20   |     | 31    | 32    | 24       | 28    | 19    | 18    | 22       | 2     |
+| 85  | GER 12742 Kleinow Lukas       | M      | 14               | BERLINER YACHT CLUB         |        | 197,0 | 23       |      | 35  | 23    | 36    | 23       | 13    | 10    | 22    | 12       | (47)  |
+| 86  | POL 1460 Rafał Szubert        | M      | 14               | ŻMKS POZNAŃ                 |        | 200,0 | (39)     | 25   |     | 27    | 12    | 29       | 33    | 30    | 16    | 16       | 12    |
+| 87  | IRL 1542 Alana Coakley        | K      | 13               | ROYAL ST GEORGE             | 23     | 201,0 | (38)     | 35   | 32  |       | 24    | 28       | 18    | 18    | 14    | 8        | 24    |
+| 88  | GER 1026 Lukas Nachtigall     | M      | 13               | SGS                         |        | 202,0 | 35       | 30   |     | 22    | 29    |          | 14 17 | 12    |       | (bfd) 11 | 32    |
+| 89  | IRL 1514 Ben Hogan            | M      | 12               | ROYAL ST GEORGE             |        | 204,0 | (51)     |      | 26  | 22    | 14    |          | 30 21 | 27    | 21    | 17       | 26    |
+| 90  | POL 1940 Kacper Worek         | M      | 12               | YK STAL GDYNIA              |        | 205,0 | 28       | 19   | 20  |       | (29)  |          | 18 24 | 23    | 28    | 25       | 20    |
+| 91  | POL 1761 Kacper Jaskuła       | M      | 13               | SKŻ SŁAWA                   |        | 208,0 | DPI (52) | 33   |     | 24    | 24    | 21       | 26    | 12    | 22    | 3        | 43    |
+| 92  | POL 2051 Iwo Filipowicz       | M      | 13               | MKŻ ARKA GDYNIA             |        | 210,0 | 30       | 18   |     | 25    | 17    | 24       |       | (45)  | 31 27 | 10       | 28    |
+| 93  | SWE 4636 Filippa Henriksson   | K      | 12               | RÖSS                        | 24     | 212,0 | 33       | 17   | 19  |       | 21    | 22       | 13    | 22    | (bfd) | 24 41    |       |
+| 94  | POL 1576 Antoni Sopata        | M      | 13               | AZS POZNAŃ                  |        | 213,0 | 20       | 22   |     | (ufd) | 21    | 39       | 47    | 19    | 26    | 5        | 14    |
+
+|     | Sail Number Helm                |     | Gender | Age (by vintage) Club                 | Cat. | F     | Scores   | Q1    | Q2    | Q3   | Q4   | Q5          | Q6       | Q7       | Q8 F9    | F10   |
+| --- | ------------------------------- | --- | ------ | ------------------------------------- | ---- | ----- | -------- | ----- | ----- | ---- | ---- | ----------- | -------- | -------- | -------- | ----- |
+| 95  | GER 12589 Madita Marga          | K   | 13     | SSV VON 1894                          | 25   | 219,0 | (54)     | 28    | 35    |      | 17   | 35 16       | 16       | 26       | 31       | 15    |
+| 96  | POL 1721 Antoni Siwek           | M   | 13     | KS SPÓJNIA WARSZAWA                   |      | 220,0 | 22       | 30    |       | (46) | 31   | 26 42       | 30       | 15       | 19       | 5     |
+| 97  | POL 1672 Gracjan Grzech         | M   | 13     | YKP GDYNIA                            |      | 221,0 | 17       |       | 24    | 26   | 36   | 21 19       | 32       | 29       | (48)     | 17    |
+| 98  | POL 2906 Maciej Karsznia        | M   | 13     | KS ZATOKA PUCK                        |      | 221,0 | 29       | 19    |       | 20   | 28   | 31 21       | 25       | 23       | (54)     | 25    |
+| 99  | POL 1653 Paulina Rakowska       | K   | 14     | OPTI CWM GDYNIA                       | 26   | 222,0 | (44)     | 41    |       | 21   | 18   | 32 33       | 17       | 17       | 14       | 29    |
+| 100 | CZE 66 Michal Krsicka           | M   | 13     | YC CERE                               |      | 230,0 | 30       | 21    |       | 37   | 27   | 11 17       | 22       | 20       | 45       | (48)  |
+| 101 | SWE 4660 Sofia Levin Håkansson  | K   | 14     | KSSS                                  | 27   | 231,0 | 28       |       | 26    | 18   | 14   | 36 31       | 36       | 21       | (37)     | 21    |
+| 102 | GER 1077 Johann Emmer           | M   | 11     | SPORTVEREIN KLOSTER LEHNIN            |      | 232,0 | 10       | 27    |       | 17   | 26   | 32 30       | 29       | 23       | (47)     | 38    |
+| 103 | GER 1061 Sarah Siepmann         | K   | 13     | MSC                                   | 28   | 236,0 | 32       | 39    | (47)  | 40   |      | 23 22       | 17       | 12       | 29       | 22    |
+| 104 | POL 1870 Dominik Śliwiński      | M   | 13     | YKP GDYNIA                            |      | 237,0 | 25       |       | 37    | 28   | (46) | 27 43       | 26       | 31       | 13       | 7     |
+| 105 | LTU 314 Rukas Strelciunas       | M   | 13     | BANGPUTYS                             |      | 237,0 | 29       | 19    |       | 37   | 37   | 24 (52)     | 20       | 22       | 15       | 34    |
+| 106 | POL 1863 Adam Sokołowski        | M   | 13     | NAUTICUS YACHT CLUB OLSZTYN           |      | 237,0 | (38)     | 38    | 29    | 27   |      | 26 26       | 21       | 20       | 27       | 23    |
+| 107 | GER 1023 Schwachhofer Katharina | K   | 13     | SKL                                   | 29   | 238,0 | 13       | 15    | (ufd) |      | 13   | 12 15       | ufd      | 10       | 2        | ufd   |
+| 108 | POL 2020 Emilia Roszkowska      | K   | 12     | KS SPÓJNIA WARSZAWA                   | 30   | 240,0 |          | 13    | 22    | 33   | 43   | 27 22       | 23       | (bfd)    | 26       | 31    |
+| 109 | POL 1551 Maciej Iliński         | M   | 12     | YKP GDYNIA                            |      | 241,0 | 29       | (38)  | 30    |      | 19   | 29 34       | 25       | 24       | 32       | 19    |
+| 110 | GER 13251 Moritz Dorau          | M   | 13     | SEGELVEREIN SCHLUCHSEE                |      | 243,0 | 10       | 30    |       | 36   | 30   | 46 11       | 29       | 24       | (61)     | 27    |
+| 111 | POL 1848 Bartosz Miziewicz      | M   | 14     | SKŻ SŁAWA                             |      | 243,0 | DPI      | (32)  | 16    | 19   | 56   | 13 14       | 25       | 28       | (74)     | 40    |
+| 112 | POL 1594 Filip Kapała           | M   | 12     | OPTI CWM GDYNIA                       |      | 255,0 | (50)     | 33    | 31    |      | 24   | 31 29       | 20       | 28       | 9        | 50    |
+| 113 | IRL 1526 Emily Riordan          | K   | 13     | ROYAL ST GEORGE                       | 31   | 255,0 | 58       | (ufd) |       | 22   | 20   | 35 23       | 24       | 20       | 40       | 13    |
+| 114 | POL 1753 Mateusz Gwóźdź         | M   | 11     | YKP GDYNIA                            |      | 256,0 | 14       | 44    | 49    |      | (52) | 16 39       | 23       | 27       | 38       | 6     |
+| 115 | POL 1661 Jan Gierzyński         | M   | 12     | KS ZATOKA PUCK                        |      | 258,0 | 26       | 20    |       | 33   | 37   | 15 17       | 40       | 36       | 34       | (53)  |
+| 116 | POL 963 Gustaw Ostojewski       | M   | 14     | KS ZATOKA PUCK                        |      | 259,0 | (48)     | 30    |       | 28   | 35   | 37 42       | 19       | 19       | 39       | 10    |
+| 117 | GER 13152 Michael Meier         | M   | 13     | DUYC                                  |      | 260,0 | 2        | 6     | 12    |      | 35   | 43 19       | 42       | 38       | 63       | (dnf) |
+| 118 | MEX 1007 Sebastian Riquelme     | M   | 14     | NAUTIC EL BALIS-CATALUNYA             |      | 262,0 | 13       | 4     | 25    |      | 48   | 31 15       | 37       | 25       | 64       | (dnc) |
+| 119 | GER 13528 Franziska Steinlein   | K   | 12     | BAYERISCHER YACHT-CLUB                | 32   | 268,0 | 16       | 14    | 21    | 16   |      | 44 33       | DPI (48) | 43       | 33       | (dnc) |
+| 120 | GER 1053 Jannis Liebig          | M   | 11     | SEGLERVEREINIGUNG 1903 BERLIN E. V.   |      | 273,0 | 28       | (ufd) | 27    | 30   |      | 36 25       | 21       | 42       | 28       | 36    |
+| 121 | RUS 49 Ivan Zhilkin             | M   | 12     | PK VODNIK                             |      | 274,0 | 15       | 24    | 20    |      | 29   | 33 30       | (53)     | 32       | 49       | 42    |
+| 122 | GER 1064 Johannes Machur        | M   | 14     | AKADEMISCHER SEGLER-VEREIN ZU ROSTOCK |      | 274,0 | DPI (34) | 24    | 21    | 26   | 23   | 28          | 22       | 45       | (73)     | 51    |
+| 123 | GER 13644 Max Rabe              | M   | 13     | SSV ROSTOCK                           |      | 276,0 | 27       | 31    | 36    | 23   |      | 29 28       |          | 28       | 25 (58)  | 49    |
+| 124 | POL 1296 Mikołaj Merkler        | M   | 12     | BAZAMRĄGOWO                           |      | 277,0 | 15       | 21    | 34    |      | 29   | 50 37       | 31       | 30       | (56)     | 30    |
+| 125 | GER 1065 Mager Jonas            | M   | 12     | MSC MÜHLENBERGER SEGELCLUB            |      | 280,0 | 35       | 15    | 41    | 22   |      | 31 23       | DPI (39) | DPI (39) | DPI (35) | (dnf) |
+| 126 | POL 1660 Zuzanna Figel          | K   | 13     | OPTI CWM GDYNIA                       | 33   | 281,0 | 26       |       | 29 38 |      | 22   | 25 31       | 35       | 23       | (dnc)    | 52    |
+| 127 | GER 1001 Lanzinger Hannah       | K   | 12     | SCBC                                  | 34   | 284,0 | 16       | 28    | 26    |      | 25   | 25 12       | (ufd)    | 29       | 44       | dnc   |
+| 128 | CZE 798 Tomáš Mlejnek           | M   | 14     | YC SK ŠTĚTÍ                           |      | 285,0 | 54       | 36    | 30    |      | 54   | 19 38       | (ufd)    | 30       | 20       | 4     |
+| 129 | POL 1941 Igor Barcikowski       | M   | 12     | NAUTICUS YACHT CLUB OLSZTYN           |      | 292,0 | 31       | 25    | 31    | 25   |      | DPI (42) 27 | 26       | 43       | 42       | (46)  |
+
+|         | Sail Number Helm           | Gender | (by | Age vintage)                  | Club | Cat. F | Scores   | Q1   | Q2       | Q3  | Q4  | Q5       | Q6    | Q7    | Q8 F9 | F10     |
+| ------- | -------------------------- | ------ | --- | ----------------------------- | ---- | ------ | -------- | ---- | -------- | --- | --- | -------- | ----- | ----- | ----- | ------- |
+| 130     | GER 13531 Halle Marie      | K      | 12  | YC BAYER LEVERKUSEN           | 35   |        | 301,0 45 | 46   | 24       |     | 17  | 42 43    | 33    | 33    | (50)  | 18      |
+| 131 POL | 1626 Aleksander Ponto      | M      | 12  | OPTI CWM GDYNIA               |      | 305,0  | 10       | 34   | 25       | 32  |     | 45 27    | 24    | 38    | 70    | (dnf)   |
+| 132 POL | 1623 Marcin Popłonyk       | M      | 14  | AZS POZNAŃ                    |      | 312,0  | (56)     | 53   |          | 50  | 28  | 40 30    | 34    | 30    | 36    | 11      |
+| 133 POL | 1971 Aleksandra Bobula     | K      | 12  | JACHT KLUB KOTWICA TARNOBRZEG | 36   | 313,0  | 40       | 26   |          | 41  | 31  | 35 38    | 36    | 33    | (43)  | 33      |
+| 134 POL | 170 Jakub Wiedeheft        | M      | 13  | MKŻ ARKA GDYNIA               |      | 315,0  | 40       | (60) |          | 29  | 21  | 38 42    | 24    | 27    | 59    | 35      |
+| 135 POL | 1427 Marysia Prus-Głowacka | K      | 12  | AZS POZNAŃ                    | 37   | 319,0  | 43       |      | 37       | 32  | 37  | 41 (49)  | 34    | 35    | 21    | 39      |
+| 136 POL | 1764 Dominika Ołowiak      | K      | 12  | YKP GDYNIA                    | 38   | 324,0  | 46       |      | 34       | 24  | 31  | 40 23    | 41    | 30    | 55    | (dnf)   |
+| 137 RUS | 307 Maria Danilova         | K      | 12  | PK VODNIK                     | 39   | 328,0  | 50       |      | 41       | 38  | 27  | 34 35    | 35    | 31    | (53)  | 37      |
+| 138 POL | 1813 Marcel Mierzwicki     | M      | 13  | YKP GDYNIA                    |      | 329,0  | 12       | 38   | 28       | 41  |     | 32 49    | 47    | 36    | 46    | (dnf)   |
+| 139 SWE | 4680 Christoffer Hallin    | M      | 13  | LDSS                          |      | 331,0  | 23       |      | (ufd)    | 16  | 34  | 28 18    | 31    | bfd   | 23    | dnc     |
+| 140 SWE | 4630 Emil Wolfgang         | M      | 12  | HJBK                          |      | 335,0  | 46       | 11   |          | 45  | 39  | 23 40    | 34    | (bfd) | 18    | dnc     |
+| 141 POL | 188 Joanna Cymerman        | K      | 12  | UKS BARNIM GOLENIÓW           | 40   | 336,0  | 16       | 17   | 29       | 40  |     | 41 30    | 46    | 40    | 77    | (dnf)   |
+| 142 POL | 2010 Tytus Czajkowski      | M      | 12  | KST ELEKTRYK GRUDZIĄDZ        |      | 341,0  | 56       | 39   | 35       |     | 35  | 30 43    | 27    | 35    | 41    | (dnc)   |
+| 143 POL | 1302 Jan Krawczyk          | M      | 12  | CHKŻ CHOJNICE                 |      | 347,0  | DPI (48) | 15   |          | 35  | 26  | 42 60    | 30    | 40    | 51    | (dnf)   |
+| 144 POL | 118 Ewa Lewandowska        | K      | 10  | KS AZS AWFIS GDAŃSK           | 41   | 351,0  | 35       | 32   | 17       |     | 54  | 50 37    | 29    | 45    | 52    | (dnc)   |
+| 145 POL | 2000 Ignacy Oźminkowski    | M      | 12  | KS SPÓJNIA WARSZAWA           |      | 354,0  | 12       | 25   | 47       |     | 36  | 47 41    | 45    | 32    | 69    | (dnf)   |
+| 146 GER | 12932 Otto Nils Ruben      | M      | 12  |                               |      | 354,0  | 57       | 16   | 32       |     | 34  | 41 50    | 27    | 35    | 62    | (dnc)   |
+| 147 POL | 1981 Joanna Fabisiak       | K      | 13  | MBSW/UKŻR NIEGOCIN GIŻYCKO    | 42   | 357,0  | 36       | 28   | 23       |     | 31  | 33 49    | 50    | 50    | 57    | (dnc)   |
+| 148 POL | 90 Marcel Montrymowicz     | M      | 12  | KST ELEKTRYK GRUDZIĄDZ        |      | 358,0  | 61       | 49   | 34       |     | 32  | 36 29    | 40    | 22    | (68)  | 55      |
+| 149 GER | 12882 Fridjoff Hempel      | M      | 12  | SSV VON 1894 E.V.             |      | 358,0  | 41       | 40   | DPI (46) |     | 33  | 47 47    | 28    | 32    | (66)  | 44      |
+| 150 POL | 1644 Stanisław Janowicz    | M      | 13  | KS AZS AWFIS GDAŃSK           |      | 361,0  | 41       | 29   | (ufd)    |     | 34  | 41 32    | 26    | 46    | 67    | 45      |
+| 151 POL | 966 Patryk Chełkowski      | M      | 10  | MBSW/UKŻR NIEGOCIN GIŻYCKO    |      | 362,0  | 8        | 22   | 40       |     | 59  | 30 29    | 59    | 44    | 71    | (dnc)   |
+| 152 SWE | 4402 Anna Strömbäck        | K      | 14  | KSSS                          | 43   | 365,0  | DPI (42) | 42   | 40       |     | 45  | 27 34    | 42    | 39    | (65)  | 54      |
+| 153 SWE | 4544 Erik Bengtsson        | M      | 10  | BKSS                          |      | 368,0  | 30       | 20   | 40       | 48  |     | 49 33    | 42    | 31    | 75    | (dnc)   |
+| 154 POL | 1602 Stanisław Wierczyński | M      | 12  | YKP GDYNIA                    |      | 372,0  | 49       | 52   | 36       | 40  |     | 44 32    | 32    | 27    | 60    | (dnc)   |
+| 155 POL | 1444 Oskar Ponto           | M      | 12  | OPTI CWM GDYNIA               |      | 373,0  | 5        | 46   | 27       | 44  |     | 38 40    | 44    | 53    | 76    | (dnf)   |
+| 156 RUS | 314 Sofya Ivanova          | K      | 13  | PK VODNIK                     | 44   | 417,0  | 36       | 43   | 39       |     | 22  | 48 (ufd) | 44    | 34    | 72    | dnc     |
+| 157 POL | 1963 Anna Januszewska      | K      | 14  | YK STAL GDYNIA                | 45   | 273,0  | 58       | (59) | 39       |     | 27  | 33 55    | 39    | 17    | 3     | 2       |
+| 158 POL | 1915 Filip Fajfer          | M      | 13  | KŻ HORN KRAKÓW                |      | 282,0  | (61)     | 40   | 42       | 23  |     | 48 48    |       | 40 33 | 4     | RDG (4) |
+| 159 POL | 1852 Mateusz Szweda        | M      | 14  | KS SPÓJNIA WARSZAWA           |      | 294,0  | 15       | 20   | 26       |     | 42  | 66 67    | (dnf) | 55    | 2     | 1       |
+| 160 POL | 1853 Patryk Furmanek       | M      | 11  | SSW MOS IŁAWA                 |      | 295,0  | 51       | 57   | 53       | 33  |     | 34 (58)  | 33    | 20    | 5     | 9       |
+| 161 POL | 1879 Ludwik Grzelak        | M      | 13  | WTWWARSZAWA                   |      | 295,0  | 23       |      | 34       | 23  | 39  | 60 67    | 28    | (bfd) | 7     | 14      |
+| 162 POL | 1608 Jakub Kamiński        | M      | 13  | MBSW/UKŻR NIEGOCIN GIŻYCKO    |      | 300,0  | 39       | 26   | 38       |     | 53  | 35 (dnc) | 43    | 37    | 21    | 8       |
+| 163     | SVK 577 Petr Hála          | M      | 14  | YC KLADNO                     |      | 303,0  | 50       | 45   | 51       |     | 39  | 37 20    | 31    | (ufd) | 18    | 12      |
+| 164     | CZE 382 Bára Švíková       | K      | 12  | YC CERE                       | 46   | 307,0  | (54)     | 46   | 44       |     | 42  | 44 39    | 41    | 21    | 26 4  |         |
+| 165     | LTU 445 Vykintas Mizgiris  | M      | 11  | NERINGOS SPORTO MOKYKLA       |      | 308,0  | 48       | 42   | 28       |     | 44  | (63)     | 36    | 38 39 | 13    | 20      |
+
+|         | Sail Number Helm                                |     | Gender | Age (by vintage) Club |                                        | Cat. F   | Scores      | Q1       | Q2    | Q3    | Q4             | Q5 Q6       | Q7    | Q8     | F9           | F10      |
+| ------- | ----------------------------------------------- | --- | ------ | --------------------- | -------------------------------------- | -------- | ----------- | -------- | ----- | ----- | -------------- | ----------- | ----- | ------ | ------------ | -------- |
+| 166     | LTU 2800 Arunas Daracius                        | M   | 13     |                       | BANGPUTYS                              |          | 320,0       | 63       | 43    | 54    | 47 16 37       | 26          |       | (bfd)  | 24           | 10       |
+| 167     | POL 2035 Zuzanna Tarnawska                      | K   | 14     | OPTI CWM              | GDYNIA                                 | 47       | 320,0       | (53)     | 48    | 52    | 38 33          | 44          | 37    | 32     | 23           | 13       |
+| 168     | POL 1930 Barbara Mindak                         | K   | 14     | LKS CHARZYKOWY        |                                        | 48 324,0 | 42          |          | (56)  | 53    | 38 45          | 45          | 44    | 37     | 14           | 6        |
+| 169     | CZE 816 Tobias Kraus                            | M   | 3      | YC KLADNO             |                                        |          | 326,0       | 43       | 54    | (55)  | 55 37          | 36          | 36    | 33     | 15 17        |          |
+| 170     | POL 1260 Wojciech Kikmunter                     | M   | 13     | CHKŻ CHOJNICE         |                                        |          | 328,0       | (59)     | 51    | 43    | 43 40          | 52          | 45    | 38     | 11 5         |          |
+| 171     | POL 1619 Szymon Gąsiorowski                     | M   | 11     | YK STAL               | GDYNIA                                 |          | 330,0       | 34       | 29    | 34    | 38             | 25 47       | (dnc) | dnc    | 22 (22)      | RDG      |
+| 172     | POL 1878 Mateusz Narloch                        | M   | 11     | MKŻ ARKA              | GDYNIA                                 |          | 331,0       | 35       | 42    | 42    | 41             | 44 36       | 38    | 34     | 19           | (dnc)    |
+| 173     | POL 1802 Zuzia Rodzeń                           | K   | 12     | MKŻ ARKA              | GDYNIA                                 | 49       | 341,0       | 31       | 51    | 48    | 46 43          | (57)        | 35    | 41     | 28           | 18       |
+| 174     | GER 1100 Jonathan Wille                         | M   | 13     | MSC                   |                                        |          | 347,0       | 37       | 45    | 42    | 42             | 38 35       | 47    | 51     | 10           | (dnc)    |
+| 175     | SWE 4627 Ludvig Sundström                       | M   | 11     | LDSS                  |                                        |          | 348,0       | 46       | (56)  | 53    | 42             | 47 48       | 38    | 41     | 17           | 16       |
+| 176     | GER 13308 Finja Keim                            | K   | 13     | SVS                   |                                        | 50       | 348,0       | 42       | 50    | 39    | 44             | 34 (51)     | 33    | 42     | 45           | 19       |
+| 177     | POL 1993 Paweł Trella                           | M   | 12     | MKŻ ARKA              | GDYNIA                                 |          | 348,0       | 33       | 35    | 33    | 34             | 51 41       | 41    | 50     | 30           | (dnc)    |
+| 178     | POL 1089 Maksymilian Kalupa                     | M   | 12     | JKW POZNAŃ            |                                        |          | 353,0       | 47       | (55)  | 36    | 41             | 36 41       | 54    | 40     | 51           | 7        |
+| 179     | POL 1914 Leon Gniadek                           | M   | 12     | KŻ HORN               | KRAKÓW                                 |          | 356,0       | 62       | 45    | 48    | 36             | 42 53       | 38    | 24     | 8            | (dnc)    |
+| 180     | CZE 820 Šimon Jurečka                           | M   | 13     | CZECH                 | YACHT CLUB                             |          | 357,0       | 19       | 48    | 43    | 49 38          | 52          | 48    | 29     | 31           | (dnc)    |
+| 181     | LTU 1091 Jocas Justinas                         | M   | 14     | BANGPUTYS             |                                        |          | 359,0       | 52       | 48    | 51    | 45             | 43 35       | 29    | (bfd)  | 34           | 22       |
+| 182     | POL 11658 Julia Schmidt                         | K   | 13     | OPTI CWM GDYNIA       |                                        | 51       | 360,0       | 34       | 47    | 46    | 52             | 43 50       | 39    | 37     | 12           | (dnc)    |
+| 183     | POL 1167 Konrad Dziąba                          | M   | 12     | MBSW/UKŻR             | NIEGOCIN GIŻYCKO                       |          | 360,0       | 24       | 36    | (dnc) | 33 51          | 41          | 49    | 46     | 65           | 15       |
+| 184     | POL 1494 Szymon Oleksiuk                        | M   | 12     |                       | WTWWARSZAWA                            |          | 361,0       | 33       | 49    | 33    | 46 32          | 44          | 36    | 44     | 44           | (dnc)    |
+| 185     | POL 1655 Bartosz Andrzejak                      | M   | 12     | NAUTICUS YACHT        | CLUB OLSZTYN                           |          | 362,0       | 55       | 42    | 52    | 37 34          | 54          | 33    | 49     | 6            | (dnc)    |
+| 186     | POL 1667 Marcel Bisewski                        | M   | 11     | YKP                   | GDYNIA                                 |          | 364,0       | 57       | 53    | 43    | 26 28          | 46          | 30    | 44     | 37           | (dnc)    |
+| 187     | GER 13619 Franziska Nussbaumer                  | K   | 14     |                       | YACHTCLUB LANGENARGEN                  | 52       | 368,0       | 27       | 38    | 50    | 45             | (64)        | 48 59 | 39     | 41           | 21       |
+| 188     | SWE 4452 Melker Brenton                         | M   | 13     | KSSS                  |                                        |          | 380,0       | (dnf)    | dns   | dns   | dns 17         | 25          | 9     | 13     | 1            | dnc      |
+| 189     | POL 1970 Maja Krawczyńska                       | K   | 13     | OPTI CWM GDYNIA       |                                        | 53       | 381,0       | (66)     | 53    | 44    | 44 42          | 57          | 37    | 37     | 35           | RDG (32) |
+| 190     | POL 969 Alicja Samolińska                       | K   | 13     | SSW MOS IŁAWA         |                                        | 54       | 388,0       | 41       | 32    | 38    | 57 39          | (dnc)       | dnc   | dnc    | 20           | 3        |
+| 191     | POL 1 Bogusz Tłok                               | M   | 12     | MLKS                  | KRAJNA SĘPÓLNO KRAJEŃSKIE              |          | 396,0       | DPI (64) | 35    | 30    | 38 46          | 34          | 50    | 52     | 47           | (dnc)    |
+| 192     | POL 1903 Tomasz Bendlewski                      | M   | 12     | JKW POZNAŃ            |                                        | 399,0    | 45          |          | 44    | 43    | 58 45          | 37          | 43    | 59     | 25           | (dnc)    |
+| 193     | POL 1574 Dawid Goetz                            | M   | 13     | AZS                   | POZNAŃ                                 |          | 416,0       | 61       | 63    | 56    | 46 46          | 34          | 53    | (dnc)  | 46           | 11       |
+| 194     | POL 910 Maria Konarzewska                       | K   | 11     | KS AZS                | AWFIS GDAŃSK                           | 55       | 417,0       | 47       | 63    | 44    | 49             | 40 49       | 45    | 47     | 33           | (dnc)    |
+| 195     | POL 1670 Patryk Kukowski                        | M   | 12     | KS ZATOKA PUCK        |                                        | 423,0    | 39          |          | 41    | 52    | 47             | 47 53       |       | 52 53  | 39           | (dnc)    |
+| 196     | CZE 424 Kristýna Chalupníková                   | K   | 11     | YC                    | BRNO                                   | 56       | 424,0 58    |          | 61    | 48    | 60             | 53 48       | 44    | 36 47  | 16           | (dnc)    |
+| 197     | GER 13594 Laura Tornow                          | K   | 11     | SV03 E.V.             | BERLIN                                 | 57       | 424,0 59    |          | 53    | 49    | 45             | DPI (58) 36 | 37    |        | 40           | (dnc)    |
+| 198     | POL 1906 Gustaw Kwiek                           | M   | 10     | WTWWARSZAWA           |                                        |          | 427,0       | 42       | 31    | 27    | 62 50          | 42          |       | 47     | 48 (dnf)     | dnc      |
+| 199     | LTU 393 Laurynas Vilkas                         | M   | 13     |                       | BANGPUTYS                              |          | 430,0       | 48       | 27    | 50    | (dnc) 26       | 51          |       | 62 dnc | 9 dnc        |          |
+| 200 201 | GER 12986 Fiene Arp MEX 1008 Alexandro Riquelme | K M | 10 12  | NAUTIC EL             | WARNEMÜNDER SEGEL-CLUB BALIS-CATALUNYA | 58       | 434,0 438,0 | 56 21    | 46 43 | 35 50 | 43 59 60 (ufd) | 56 9        | 58 48 | 43 51  | 38 (dnc) dnc | dnc      |
+
+|         | Sail Number Helm                                |     | Gender | Age (by vintage)            | Club Cat. F |             | Scores | Q1    | Q2       | Q3    | Q4      | Q5          | Q6       | Q7    | Q8 F9  | F10   |
+| ------- | ----------------------------------------------- | --- | ------ | --------------------------- | ----------- | ----------- | ------ | ----- | -------- | ----- | ------- | ----------- | -------- | ----- | ------ | ----- |
+| 202     | POL 1041 Aleksander Hlebowicz                   | M   | 12     | NAUTICUS YACHT CLUB OLSZTYN |             | 438,0       | 20     | 34    | 48       | 61    |         | 56 25       | (dnf)    | 47    | 69     | dnc   |
+| 203     | LTU 333 Paulius Petrosius                       | M   | 12     | ZIEMYS                      |             | 442,0       | 62     | 50    | 39       | 49    |         | (ufd) 55    | 32       | 41    | 36     | dnc   |
+| 204     | POL 1708 Amelia Dziąba                          | K   | 13     | MBSW/UKŻR NIEGOCIN GIŻYCKO  | 59          | 443,0       | 34     | 44    |          | 54    | 48      | 49 55       | 61       | 55    | 43     | (dnc) |
+| 205     | POL 1910 Aleksander Kuderski                    | M   | 12     | WTWWARSZAWA                 |             | 449,0       | 47     | 36    |          | 45    | 47      | 52 45       | 39       | (dnc) | 60     | dnc   |
+| 206     | SWE 4511 Claes Jarudd                           | M   | 11     | ROYAL SWEDISH YACHT CLUB    |             | 452,0       | 44     | 48    | 45       |       | 30      | 56 59       | 60       | (dnf) | 32     | dnc   |
+| 207     | POL 411 Dominika Fajdasz                        | M   | 11     | KS SPÓJNIA WARSZAWA         |             | 453,0       | 38     | 45    | 42       |       | 63      | 66 39       | 56       | 48    | 56     | (dnc) |
+| 208     | RUS 316 Fedor Sheskin                           | M   | 12     | PK VODNIK                   |             | 465,0       | 69     |       | (dns)    | 47    | 35      | 45 52       | 43       | 48    | 48     | dnc   |
+| 209     | RUS 221 Artem Maksimkin                         | M   | 11     | GREEN CAPE                  |             | 465,0       | 55     | 40    |          | 47    | 52      | 54 38       | 72       | 46    | 61     | (dnc) |
+| 210     | POL 66 Jakub Kluk                               | M   | 10     | MBSW/UKŻR NIEGOCIN GIŻYCKO  |             | 466,0       | 46     | 37    | 41       |       | 50      | 52 51       | 49       | (dnc) | 62     | dnc   |
+| 211     | IRL 1495 Kai Ando                               | M   | 13     | ROYAL ST GEORGE             |             | 467,0       | 65     |       | 36       | (dnc) | 41      | 56 46       | 54       | 34    | 57     | dnc   |
+| 212     | POL 800 Karolina Gała                           | K   | 11     | WTWWARSZAWA                 | 60          | 468,0       | 36     | 52    |          | 56    | 64      | 51 50       | 40       | 53    | 66     | (dnc) |
+| 213     | POL 1942 Michał Mazurowski                      | M   | 12     | NAUTICUS YACHT KLUB OLSZTYN |             | 469,0       | 28     | 72    | 52       |       | (dnc)   | 39 26       | dnf      | 45    | 50     | dnc   |
+| 214     | POL 1935 Jakub Mroczek                          | M   | 13     | SKŻ SŁAWA                   |             | 471,0       | 67     | 54    | 51       |       | 58      | 59 59       | 46       | 50    | 27     | (dnc) |
+| 215     | POL 1664 Antoni Pasich                          | M   | 12     | UKS BARNIM GOLENIÓW         |             | 471,0       | 41     |       | 57       | 37    | 50      | 51 44       | 49       | (dnc) | 64     | dnc   |
+| 216     | POL 1760 Krzysztof Olejnik                      | M   | 11     | JKW POZNAŃ                  |             | 474,0       | 50     | 27    |          | 40    | 55      | 62 57       | 70       | 35    | (dnf)  | dnc   |
+| 217     | POL 1908 Marcin Pietrzak                        | M   | 12     | WTWWARSZAWA                 |             | 474,0       | 68     | 54    |          | (ufd) | 40      | 49 32       | 32       | dnc   | 42     | dnc   |
+| 218     | POL 1936 Mateusz Gigielewicz                    | M   | 11     | BAZAMRĄGOWO                 |             | 476,0       | 43     |       | 52       | 57    | 59      | 52 54       | 52       | (bfd) | 29     | dnc   |
+| 219     | GER 1114 Mohr Bo                                | M   | 10     | PWV                         |             | 479,0       | 60     | 47    | 46       |       | 61      | 57 40       | 55       | 54    | 59     | (dnc) |
+| 220     | LTU 555 Jonas Macevicius                        | M   | 11     | ZIEMYS                      |             | 480,0       | 51     | 51    |          | 46    | 61      | 55 62       | 55       | 41    | 58     | (dnc) |
+| 221     | GER 1027 Kara Heintschel Von Heinegg            | K   | 13     | VSAW                        | 61          | 483,0       | 67     |       | 64       | 68    | 70      | 39 45       | 51       | 26    | 53     | (dnc) |
+| 222     | GER 13166 Lojewski Gregor                       | M   | 13     | CICONIA STORKOW             |             | 483,0       | 53     | 49    |          | 67    | 51      | 52 54       | 51       | 54    | 52     | (dnc) |
+| 223     | IRL 1507 Archie Daly                            | M   | 12     | ROYAL ST GEORGE             |             | 489,0       | 33     | 44    |          | 51    | 48      | 54 39       | (dnc)    | dnf   | 63     | dnc   |
+| 224     | POL 1907 Michał Terpiłowski                     | M   | 12     | WTWWARSZAWA                 |             | 489,0       | 73     |       | 68       | 59    | 43      | 53 56       | 46       | 42    | 49     | (dnc) |
+| 225     | POL 1428 Stefan Marciniak                       | M   | 13     | AZS POZNAŃ                  |             | 491,0       | 55     |       | 49       | 54    | 51      | 49 40       | 48       | (ufd) | 67     | dnc   |
+| 226     | POL 1628 Franciszek Borys                       | M   | 13     | YKP GDYNIA                  |             | 497,0       | 54     | 47    | 56       |       | 53      | 59 58       | 54       | 38    | (dnc)  | dnc   |
+| 227     | POL 1758 Jeremi Szczukowski                     | M   | 10     | CHKŻ CHOJNICE               |             | 498,0       | 31     | 55    | 61       | 52    |         | 70 46       | 71       | 44    | 68     | (dnc) |
+| 228     | GER 13575 Lily Von Roëll                        | K   | 12     | VSAW                        | 62          | 498,0       | 71     | 47    | 63       |       | 66      | 60 38       | DPI (53) | 46    | 54     | (dnc) |
+| 229     | POL 6 Amelia Potejko                            | K   | 10     | MBSW/UKŻR NIEGOCIN GIŻYCKO  | 63          | 502,0       | 38     | 50    | 49       | (dnc) |         | 60 35       | dnc      | 43    | 70     | dnc   |
+| 230     | POL 1777 Tomasz Gajda                           | M   | 11     | UKS BARNIM GOLENIÓW         |             | 512,0       | 56     | 55    | 62       | 50    |         | 54 46       | 56       | (dnc) | 55     | dnc   |
+| 231     | IRL 1515 Iseult Hogan                           | K   | 12     | ROYAL ST GEORGE             | 64          | 523,0       | 32     | 64    | 55       |       | 56      | 62 32       | 66       | (dnc) | ufd    | dnc   |
+| 232     | POL 1818 Pawel Grochu Gerlachowski              | M   | 12     | YKP GDYNIA                  |             | 536,0       | 34     | 55    | 59       |       | 57      | 60 55       | 60       | (dnc) | ufd    | dnc   |
+| 233     | POL 1804 Hanna Burdziej                         | K   | 12     | MKŻ OPTI                    | 65          | 537,0       | 24     | 43    |          | 68    | 53      | (dnc) 69    | 66       | 58    | dnc    | dnc   |
+| 234     | CZE 808 Kateřina Altmannová                     | K   | 12     | TJ LOKOMOTIVA PLZEŇ,        | 66          | 384,0       | 67     | 59    | 44       |       | 58      | 59 61       | 35       | (ufd) | 1      |       |
+| 235 236 | IRL 1517 Oscar Lubliner POL 1391 Julia Jędrasik | M   | 12 12  | ROYAL ST GEORGE BAZAMRĄGOWO | 67          | 389,0 391,0 | (64)   | 57 62 | 58 56 57 |       | 54 (65) | 57 63 58 62 | 46 50    | 40    | 51 3 6 |       |
+| 237     | POL 1584 Piotr Flieger                          | K M | 11     | MKŻ ARKA GDYNIA             |             | 394,0       | 37     | 54    | 55       | 49    |         | 50 (ufd)    | 60       | dnf   |        | 10    |
+|         | SWE 4411                                        |     |        | KSSS                        |             |             | DPI    |       |          |       |         | 48          | 44       |       | ufd    |       |
+| 238     | Hugo Melin                                      | M   | 9      |                             |             | 396,0       | (68)   | 61    | 45       |       | 47      |             | (ufd)    |       | 4      |       |
+
+|         | Sail Number Helm             |     | Gender | Age (by vintage)              | Club | Cat. F | Scores   | Q1   | Q2   | Q3    | Q4    |             | Q5 Q6 Q7 | Q8    | F9 F10 |
+| ------- | ---------------------------- | --- | ------ | ----------------------------- | ---- | ------ | -------- | ---- | ---- | ----- | ----- | ----------- | -------- | ----- | ------ |
+| 239     | GER 13179 Hoelzle Johanna    | K   | 12     | VSAW                          | 68   | 400,0  | (71)     | 64   | 71   |       | 50    | 63 47       | 53       | 47    | 5      |
+| 240 LTU | 2000 Nojus Bestauskas        | M   | 12     | ZIEMYS                        |      | 401,0  | 64       | (65) |      | 58    | 60    | 48 56       | 56       | 52    | 7      |
+| 241 POL | 1873 Aleksandra Mac          | K   | 12     | JACHT KLUB KOTWICA TARNOBRZEG | 69   | 402,0  | 60       |      | 58   | 58    | 55    | 57 57       | (63)     | 49    | 8      |
+| 242 POL | 1556 Maciej Popłonyk         | M   | 11     | AZS POZNAŃ                    |      | 417,0  | DPI (58) | 39   |      | 57    | 59    | 54 58       | (dnc)    | dnc   | 13     |
+| 243 GER | 12390 Malte Leinert          | M   | 12     | CICONIA STORKOW               |      | 417,0  | 52       | 51   |      | (ufd) | 63    | 65 68       | 61       | 42    | 15     |
+| 244 POL | 1805 Michał Jaroszek         | M   | 10     | MKŻ OPTI                      |      | 429,0  | 60       | 67   |      | 61    | 51    | 65 64       | 50       | (dnf) | 11     |
+| 245 POL | 1909 Magdalena Guszcza       | K   | 11     | WTWWARSZAWA                   | 70   | 431,0  | 32       | 52   |      | (ufd) | 62    | 58 67       | 64       | dnc   | 17     |
+| 246     | POL 1224 Kacper Korcz        | M   | 14     | ŻMKS POZNAŃ                   |      | 436,0  | 71       |      | 58   | 54    | 65    | (dnc) 61    | 57       | 50    | 20     |
+| 247 POL | 1262 Jakub Marciniak         | M   | 11     | MKŻ OPTI                      |      | 437,0  | (67)     | 58   |      | 60    | 67    | 55 65       | 52       | 49    | 31     |
+| 248     | POL 1912 Kamil Lenczowski    | M   | 11     | JACHT KLUB KOTWICA TARNOBRZEG |      | 442,0  | 72       | 63   |      | 64    | (dnc) | 63 59       | 53       | 52    | 16     |
+| 249 POL | 1974 Lilly May Niezabitowska | K   | 12     | JACHT KLUB KOTWICA TARNOBRZEG | 71   | 443,0  | 49       |      | 67   | 49    | 39    | (ufd) dnc   | dnc      | dnc   | 2      |
+| 250     | CZE 577 Jan Hála             | M   | 11     | YC KLADNO                     |      | 445,0  | 63       | 70   |      | 63    | 55    | (dnc) 60    | 41       | dnc   | 14     |
+| 251 POL | 2022 Liliana Lemke           | K   | 12     | OPTI CWM GDYNIA               | 72   | 446,0  | 66       |      | (68) | 62    | 65    | DPI (60) 60 | 59       | 55    | 19     |
+| 252     | POL 1703 Janina Dmochowska   | K   | 10     | MKŻ ARKA GDYNIA               | 73   | 447,0  | 52       |      | 57   | 60    | (dnc) | 61 59       | 67       | dnf   | 12     |
+| 253 LTU | 110 Patrikas Tamasauskas     | M   | 12     | ZIEMYS                        |      | 447,0  | (73)     | 69   | 61   | 56    |       | 68 65       | 51       | 52    | 25     |
+| 254     | RUS 313 Timofey Volchkov     | M   | 11     | PK VODNIK                     |      | 451,0  | 49       |      | 59   | 68    | 66    | (71) 63     | 68       | 51    | 27     |
+| 255 POL | 1911 Kacper Bąk              | M   | 11     | KŻ HORN KRAKÓW                |      | 455,0  | 52       |      | 62   | 59    | 59    | 63 64       | 68       | (dnc) | 28     |
+| 256 POL | 1245 Adam Turczynowicz       | M   | 11     | KS SPÓJNIA WARSZAWA           |      | 456,0  | (77)     |      | 74   | 69    | 74    | 68 53       | 52       | 57    | 9      |
+| 257     | POL 1292 Jakub Pietrzak      | M   | 11     | OPTI CWM GDYNIA               |      | 457,0  | 62       | 61   |      | 60    | 54    | 67 71       | 61       | (dnc) | 21     |
+| 258 RUS | 318 Vladislav Kochetov       | M   | 10     | PK VODNIK                     |      | 459,0  | DPI (49) |      | 68   | 66    | 60    | 61 54       | (dnc)    | dnf   | 22     |
+| 259     | POL 807 Wiktoria Hałabaty    | K   | 11     | MKŻ OPTI                      | 74   | 469,0  | 64       |      | 62   | 64    | 63    | 64 72       | 57       | (dnc) | 23     |
+| 260 POL | 1923 Jakub Dąbek             | M   | 12     | SSW MOS IŁAWA                 |      | 471,0  | 57       | 62   |      | 57    | 62    | 46 64       | 45       | (dnf) | dnc    |
+| 261 POL | 1614 Iga Wielczyk            | K   | 11     | SSW MOS IŁAWA                 | 75   | 475,0  | 66       |      | 56   | 60    | 68    | 64 66       | 65       | (dnc) | 30     |
+| 262 POL | 1884 Dominika Sawicka        | K   | 13     | UKS BARNIM GOLENIÓW           | 76   | 477,0  | 63       |      | 65   | 62    | 71    | 57 60       | 54       | 45    | (dnc)  |
+| 263 POL | 1488 Natalia Burczyńska      | K   | 11     | NAUTICUS YACHT CLUB OLSZTYN   | 77   | 481,0  | 60       |      | 60   | 53    | (dnc) | dnc 53      | dnc      | dnc   | 18     |
+| 264 POL | 909 Kacper Walęga            | M   | 11     | KS SPÓJNIA WARSZAWA           |      | 481,0  | 49       | 59   | 55   | 51    |       | 58 69       | 62       | (dnf) | dnc    |
+| 265 POL | 1506 Jeremi Dąbrowski        | M   | 11     | KSCŻ SZCZECIN                 |      | 483,0  | 58       | 67   |      | 67    | (dnc) | 67 63       | 58       | dnc   | 24     |
+| 266 CZE | 1397 Adam Rek                | M   | 11     | CYK                           |      | 483,0  | 68       | 71   |      | 67    | 56    | 56 51       | 65       | 49    | (dnc)  |
+| 267 CZE | 818 Marketa Kalisova         | K   | 12     | TJ JACHTKLUB BRNO             | 78   | 484,0  | 65       | 66   | 63   | 67    |       | 65          | 65       | (dnc) | 26     |
+| 268 POL | 1018 Antoni Lipiński         | M   | 10     | LKS CHARZYKOWY                |      | 490,0  | 21       | 41   | 65   |       | (dns) | 61 66       | 67 dnc   | dnc   | dnc    |
+| 269     | POL 1497 Antoni Borkowski    | M   | 13     | AZS POZNAN                    |      | 490,0  | 53       | 58   | 64   |       | 64    | 55 61       | 57       | (dnf) | dnc    |
+| 270 POL | 2100 Bianka Śledzińska       | M   | 11     | KS SPÓJNIA WARSZAWA           |      | 493,0  | 32       |      | 50   | 56    | 58    | (ufd)       | 61 dnc   | dnc   | dnc    |
+| 271     | GER 12657 Sophia Meyer       | K   | 0      | SV 03                         | 79   | 499,0  | 59       | 62   | 61   |       | 66    | 64          | 62 47    | (dnc) | dnc    |
+| 272     | POL 1592 Pola Schmidt        | K   | 11     | OPTI CWM GDYNIA               | 80   | 508,0  | 37       |      | 69   | 70    | 69    | 69          | 50 66    | (dnf) | dnc    |
+| 273     | POL 1603 Krzysztof Bruski    | M   | 11     | OPTI CWM GDYNIA               |      | 519,0  | 70       | 71   | 65   |       | 69    | 62 68       | 58       | 56    | (dnc)  |
+| 274     | POL 1490 Maciej Cękała       | M   | 12     | SEJK POGOŃ SZCZECIN           |      | 523,0  | 65       | 66   | 65   |       | 53    | 67          | 65 64    | (dnf) | dnc    |
+
+| Sail         | Number Helm               | Gender | Age (by vintage) | Club                        | Cat. F | Scores | Q1       |       | Q2    | Q3    | Q4 Q5     | Q6        | Q7      | Q8 F9 | F10     |
+| ------------ | ------------------------- | ------ | ---------------- | --------------------------- | ------ | ------ | -------- | ----- | ----- | ----- | --------- | --------- | ------- | ----- | ------- |
+| 275 POL      | 1276 Jakub Pawlak         | M      | 12               | OPTI CWM GDYNIA             |        | 524,0  | 70       | 65    | 59    |       | 57 68 64  |           | 63      | (dnf) | dnc     |
+| 276 POL      | 1904 Igor Wójcik          | M      | 10               | YK STAL GDYNIA              |        | 526,0  | 64       | 60    |       | 58    | 64 61     | 62        | (dnc)   | dnc   | dnc     |
+| 277 POL      | 1763 Julian Podwalski     | M      | 11               | SSW MOS IŁAWA               |        | 530,0  | 69       | 68    |       | 73    | (dnc) dnc | dnc       | dnf     | 54    | 29      |
+| 278 CZE 1    | Ondřej Šindelka           | M      | 10               | MORAVSKÝ YACHT CLUB Z.S     |        | 539,0  | 61       |       | 64    | 66    | 62 66     | 63        | (dnc)   | dnc   | dnc     |
+| 279 POL 2117 | Alicja Tutkowska          | K      | 9                | YK STAL GDYNIA              | 81     | 540,0  | 17       | 60    |       | 69    | (dns) dnc | dnc       | ufd     | dnc   | dnc     |
+| 280 POL      | 1528 Alicja Łowicka       | K      | 11               | NAUTICUS YACHT CLUB OLSZTYN | 82     | 543,0  | 57       | 63    |       | 63    | (dnc)     | 69 70     | 64      | dnc   | dnc     |
+| 281 POL 1778 | Mikołaj Bazyli            | M      | 11               | JACHT KLUB KOSZALIN         |        | 543,0  | 65       |       | 67    | 65    | 68        | 69 68     | 63      | (dnc) | dnc     |
+| 282 POL      | 1709 Franciszek Niwicki   | M      | 11               | KŻ HORN KRAKÓW              |        | 544,0  | 68       |       | 65    | 69    | 57        | 66 (ufd)  | 62      | dnf   | dnc     |
+| 283 LTU 104  | Nojus Mockus              | M      | 11               | ZIEMYS                      |        | 547,0  | 75       |       | 73    | (dnf) | 73        | 62 58     | 49      | dnf   | dnc     |
+| 284 POL      | 1739 Jakub Modzelewski    | M      | 12               | ŻMKS POZNAŃ                 |        | 547,0  | 68       | 66    |       | 62    | 64        | (dnc) ufd | 51      | dnf   | dnc     |
+| 285 POL      | 1945 Leon Malcher         | M      | 9                | SKŻ SŁAWA                   |        | 548,0  | 66       |       | 61    | 70    | 63        | 65 66     | (dnf)   | dnf   | dnc     |
+| 286 POL      | 1754 Michał Szklarz       | M      | 11               | KS DOBRA MARINA             |        | 552,0  | 72       | 70    |       | 71    | 68        | 58 56     | (dnc)   | dns   | dnc     |
+| 287 POL      | 1500 Bartosz Luśnia       | M      | 12               | KSCŻ SZCZECIN               |        | 556,0  | 72       | 70    |       | 68    | 66        | 70 67     | 65      | (dnc) | dnc     |
+| 288 POL      | 1504 Zuzanna Gądzikiewicz | K      | 12               | KSCŻ SZCZECIN               | 83     | 560,0  | 73       |       | 69    | 67    | 65 73     | 66        | 69      | (bfd) | dnc     |
+| 289 POL      | 1872 Marcin Staniewicz    | M      | 14               | JACHT KLUB KOSZALIN         |        | 569,0  | 69       |       | 69    | 64    | 70        | 71 69     | (dnc)   | dnc   | dnc     |
+| 290 POL      | 1977 Gabriel Małecki      | M      | 12               | KSCŻ SZCZECIN               |        | 590,0  | 70       | 71    |       | 71    | (dnc)     | 70 72     | dnc     | dnc   | dnc     |
+| 291 POL      | 1501 Jagoda Perejczuk     | K      | 11               | KSCŻ SZCZECIN               | 84     | 592,0  | 74       |       | 74    | 69    | 67        | 72 (dnc)  | dnc     | dnc   | dnc     |
+| 292 POL      | 209 Szymon Ząbek          | M      | 11               | KSCŻ SZCZECIN               |        | 592,0  | 76       |       | 73    | 70    | 67 (dnc)  | 70        | dnc     | dnc   | dnc     |
+| 293 POL 490  | Nikolas Urba              | M      | 11               | SEJK POGOŃ SZCZECIN         |        | 595,0  | 69       |       | 66    | 66    | (dnc)     | dnc dnc   | dnc     | dnc   | dnc     |
+| 294          | POL 1404 Zofia Wędzińska  |        | 2016             | MKŻR MARINA HOTEL           |        | 601,0  | 75       |       | (dns) | dnc   | dnc       | 53 dnc    | dnc     | dnc   | dnc     |
+| 295 POL 922  | Mateusz Hrymajło          | M      | 11               | KSCŻ SZCZECIN               |        | 604,0  | 74       | 70    |       | 66    | (dnc) dnc | dnc       | dnc     | dnc   | dnc     |
+| 296 POL      | 1396 Mateusz Gąsiorowski  | M      | 9                | YK STAL GDYNIA              |        | 608,0  | 70       |       | 72    | 72    | (dns)     | dnc dnc   | dnc     | dnc   | dnc     |
+| 297 POL 1535 | Wiktoria Warzych          | K      | 9                | MKŻ OPTI                    | 85     | 611,0  | 73       |       | 73    | (dnc) | dnc       | dnc 71    | dnc     | dnc   | dnc     |
+| 298 POL      | 1514 Szymon Franecki      | M      | 13               | KSCŻ SZCZECIN               |        | 616,0  | 71       | (dnf) |       | 72    | dnc ufd   | dnf       | dnf     | dnf   | dnc     |
+| 299 POL      | 1209 Wanda Szylińska      | K      | 11               | KSCŻ SZCZECIN               | 86     | 617,0  | 72       | (ufd) |       | ufd   | 72 dnf    | dnc       | dnc     | dnc   | dnc     |
+| 300 POL      | 9221 Jan Borowiak         | M      | 11               | KS DOBRA MARINA             |        | 619,0  | 75       |       | 71    | (dns) | dnc       | dnc dnc   | dnc     | dnc   | dnc     |
+| 301 POL      | 1513 Miłosz Samek         | M      | 11               | KSCŻ SZCZECIN               |        | 619,0  | 74       | 72    | (dnc) |       | dnc dnc   | dnc       | dnc     | dnc   | dnc     |
+| 302 CZE 223  | Anna Hálová               | K      | 7                | LS KROMERIZ                 | 87     | 621,0  | 74       | 74    | (dnc) |       | dnc dnf   | dnc       | dnc     | dnc   | dnc     |
+| 303 SWE      | 4125 Alexander Melin      | M      | 9                | KSSS                        |        | 624,0  | DPI (79) | 72    | dnc   |       | dnc dnc   | dnc       | dnc     | dnc   | dnc     |
+| 304 POL 53   | Bartosz Baczmaga          | M      | 11               | KS DOBRA MARINA             |        | 624,0  | 76       | 75    | (dnc) |       | dnc       | dnc       | dnc dnc | dnc   | dnc     |
+| 305          | POL 1507 Urszula Sachaj   | M      | 11               | KSCŻ SZCZECIN               |        | 627,0  | 75       | (ufd) | ufd   |       | dnc       | dnc dnc   | dnc     | dnf   | dnf     |
+| 306 POL 109  | Jocas Justiwas            | M      | 14               | BANGPUTYS                   |        | 631,0  | (dns)    | dns   | dnc   |       | dnc       | dnc dnc   | ufd     | dnc   | dnc     |
+| 307 POL 18   | Magdalena Luśnia          | K      | 9                | KSCŻ SZCZECIN               | 88     | 631,0  | (dnf)    | dns   | dnc   |       | dnc dnc   | dnc       | dnc     | dnc   | dnc dnc |
+| 308          | POL 91 Tomasz Obecny      | M      | 10               | KSCŻ SZCZECIN               |        | 631,0  | (dns)    | ufd   | dnc   |       | dnc       | dnc       | dnc dnc | dnc   |         |
+| 309 CZE      | 492 Lukas Krsicka         | M      | 13               | YC CERE                     |        | 631,0  | (dns)    | dns   | dnc   |       | dnc       | dnc dnc   | dnc     | dnc   | dnc     |
+| 310 POL      | 5119 Kajetan Kaska        | M      | 11               | KSCŻ SZCZECIN               |        | 631,0  | (dnf)    | dns   | dnc   |       | dnc dnc   | dnc       | dnc     | dnc   | dnc     |

tools/benchmark-harness/vendored/docling/md/nougat_020.md

@@ -0,0 +1,5 @@
+<unknown>
+
+WAC 446-50-070 Intrastate quarterly inspection. Intrastate radioactive waste material carriers will be required to contact the Washington state patrol and submit to an inspection on a quarterly basis. Upon being contacted by the radioactive waste material carriers the Washington state patrol will conduct a thorough equipment inspection of that intrastate carrier at a designated location. Upon completion of the inspection the carrier will be issued an inspection sticker that will be valid for ninety days. A current and valid inspection sticker will be required for entry into the radioactive waste material site.
+
+[Statutory Authority: RCW 46.48.190. WSR 80-01-009 (Order 79-4), § 446-50-070, filed 12/11/79.]

tools/benchmark-harness/vendored/docling/md/nougat_021.md

@@ -0,0 +1,55 @@
+<!-- image -->
+
+October 16, 2020
+
+Jody Pellissey, Executive Director Wek'eezhli Renewable Resources Board
+
+102 A 4504 49th A venue Yellowknife, NT XIA 1A7
+
+E-mail: <jpellissey@wrrb.ca>
+
+Sent via e-mail
+
+Re: 2021-2024 Diga Revised Joint Management Proposal
+
+Dear Jody Pellissey,
+
+The Dehq~ Renewable Resources Council (DRRC) has concerns regarding the joint proposal by Environmental and Natural Resources (ENR) and TljchQ Government (TG) entitled "Revised Joint Proposal on Management Actions for Wolves (diga) on the Bathurst and Bluenose-East Barren-ground Caribou (nkwr;,) Herd Winter Ranges: 2021 -2024."
+
+For many years now, Dehq~ and other Sahtu communities have been expressing their concerns regarding diga (wolf) culls to ENR and co-management bodies including the Sahtu Renwable Resources Board (SRRB) and the Wek'eezhii Renewable Resources Board (WRRB). At the 2016 SRRB hearing on Bluenose East, Elders from all 5 Sahtu communities described the important relationship between diga and 1ekw~ (caribou). The Elders explained that the diga keep the 1ekwlr populations healthy, that killing all the diga might actually wipe out the 1ekw~. and that the diga must be respected. This relationship is also described in Dehqfs Belarew1 ie Gots'~ 7ekw~, or caribou conservation plan, which was formally approved as a community conservation plan by the SRRB and was accepted and endorsed by the Minister of the Environment and Natural Resources in 2016.
+
+<!-- image -->
+
+## Deline Renewable Resource Council
+
+P.O Box 156 Deline, NT X0E0G0
+
+Ph: (867) 589-4224 Fax: (867) 589-4230
+
+drrc <manager@gov.deline.ca>
+
+<!-- image -->
+
+<!-- image -->
+
+## Deline Renewable Resource Council
+
+P.O Box 156 Deline, NT XOEOGO
+
+Ph: (867) 589-4224 Fax: (867) 589-4230
+
+drrc <manager@gov.deline.ca>
+
+The DRRC is concerned that ENR and TG's joint proposal has not considered the perspective of Sahtu Dene Elders. The DRRC does not believe that aerial shooting is respectful of the diga, and is concerned that this approach will not protect 7ekw~. In addition to being opposed to this specific method of diga culls, the DRRC is opposed to any diga culls occurring in or near the overlap area between the DehqCr and WRRB boundaries.
+
+The DRRC requests information on where the diga culls will be occurring and what impact they will have on diga within the Dehq1r area specifically and within the Sahtu region generally. The DRRC requests that the WRRB hold a full hearing to ensure that there is sufficient consultation on this matter of great importance to the DehqCr Got'tQCr·
+
+Sincerely,
+
+<!-- image -->
+
+Dehq~ Renewable Resources Council
+
+CC Deborah Simmons, Sahtu Renewable Resources Board
+
+Gina Bayha, DehqCr Got'tQCr Government Lands and Environment Department

tools/benchmark-harness/vendored/docling/md/nougat_022.md

@@ -0,0 +1,117 @@
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+
+Fce Practice Tests Mark Harrison Answers download pdf ... Listening B2, FCE Practice 2015, Test 1, Part 1 DOWNLOAD FULL EXAM: <http://www.mediafire.com/file/wy36qp1sx9ee> Page 7/16
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+1 A 2 C 3 C 4 D 5 B 6 A 7 D 8 C PART 2 9 C 10 A 11 F 12 D 13 H 14 G 15 E PART 3 16. B 17. C 18. E 19. C 20. A 21. B 22. D 23 &amp; 24 A &amp; C 25 &amp; 26 D &amp; E 27. C 28. A 29. D 30. A Use of English PART 1 1. C encourage 2. C achieved 3. A rewarded 4. B trip 5. B outdoor 6. D keen 7. C off 8. B ...
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+
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+Copyright code : 0d1faa15fe6b21b0d801ee9052db4fbf

tools/benchmark-harness/vendored/docling/md/nougat_023.md

@@ -0,0 +1,221 @@
+## Discussion topics, Linux IPsec Workshop
+
+Steffen Klassert secunet Security Networks AG
+
+Dresden
+
+Linux IPsec Workshop, Dresden, March 26, 2018
+
+Discussion topics, Linux IPsec Workshop
+
+Future of PFKEY in the kernel
+
+Configurable system policy default (allow/drop)
+
+Crypto layer problems
+
+Hardware GRO
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+## glyph[trianglerightsld] PFKEY is buggy
+
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Future of PFKEY in the kernel
+
+- glyph[trianglerightsld] PFKEY is buggy
+- glyph[trianglerightsld] Google syscall fuzzer reports more and more (security related) bugs
+- glyph[trianglerightsld] No active development since more that 10 years
+- glyph[trianglerightsld] Do we still need to support PFKEY, and if yes how long?
+- glyph[trianglerightsld] What do we need to do to be able to remove PKKEY from the kernel?
+- glyph[trianglerightsld] How do we handle the PFKEY bug reports until we can remove it?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Configurable system policy default (allow/drop)
+
+- glyph[trianglerightsld] The current default behaviour is to allow traffic if there is no matching policy
+- glyph[trianglerightsld] A patch that make the default configurable (allow/drop) exists
+- glyph[trianglerightsld] Each direction can be configured sepatately (input/output/forward)
+- glyph[trianglerightsld] When default is block, we need allow policies for all packet flows we accept
+- glyph[trianglerightsld] Would this be usefull for the userspace?
+
+## Crypto layer problems
+
+- glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+## Crypto layer problems
+
+## glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+## Crypto layer problems
+
+- glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+## Crypto layer problems
+
+- glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+## Crypto layer problems
+
+- glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+## Crypto layer problems
+
+- glyph[trianglerightsld] There is a lot of memcpy in the crypto layer
+- glyph[trianglerightsld] IV generators copy if src and dst buffer are different
+- glyph[trianglerightsld] Some algorithm implementations are not able to do SG operations
+- glyph[trianglerightsld] Might be worth to do some performance optimizations in the crypto layer
+- glyph[trianglerightsld] IPsec performance optimizations are 'eaten up' in the crypto layer
+
+Discussion topics, Linux IPsec Workshop Hardware GRO
+
+## Hardware GRO
+
+- glyph[trianglerightsld] Hardware GRO: Routeable version of LRO
+- glyph[trianglerightsld] Middleboxes could benefit from receive side HW offload too
+- glyph[trianglerightsld] Infrastructure was introduced recently
+- glyph[trianglerightsld] Do the NIC vendors plan to support it???
+
+Discussion topics, Linux IPsec Workshop Hardware GRO
+
+## Hardware GRO
+
+- glyph[trianglerightsld] Hardware GRO: Routeable version of LRO
+- glyph[trianglerightsld] Middleboxes could benefit from receive side HW offload too
+- glyph[trianglerightsld] Infrastructure was introduced recently
+- glyph[trianglerightsld] Do the NIC vendors plan to support it???
+
+## Hardware GRO
+
+- glyph[trianglerightsld] Hardware GRO: Routeable version of LRO
+- glyph[trianglerightsld] Middleboxes could benefit from receive side HW offload too
+- glyph[trianglerightsld] Infrastructure was introduced recently
+- glyph[trianglerightsld] Do the NIC vendors plan to support it???
+
+## Hardware GRO
+
+- glyph[trianglerightsld] Hardware GRO: Routeable version of LRO
+- glyph[trianglerightsld] Middleboxes could benefit from receive side HW offload too
+- glyph[trianglerightsld] Infrastructure was introduced recently
+- glyph[trianglerightsld] Do the NIC vendors plan to support it???
+
+Discussion topics, Linux IPsec Workshop
+
+Hardware GRO
+
+## Hardware GRO
+
+- glyph[trianglerightsld] Hardware GRO: Routeable version of LRO
+- glyph[trianglerightsld] Middleboxes could benefit from receive side HW offload too
+- glyph[trianglerightsld] Infrastructure was introduced recently
+- glyph[trianglerightsld] Do the NIC vendors plan to support it???

tools/benchmark-harness/vendored/docling/md/nougat_024.md

@@ -0,0 +1,29 @@
+<!-- image -->
+
+## Tea Board India
+
+(Under Ministry of Commerce &amp; Industry, Dept. of Commerce, Govt. of India) 14, B.T.M Sarani (Brabourne Road), Kolkata- 700 001
+
+Website: <https://www.teaboard.gov.in> e-Mail:<dipannita.teaboard@gmail.com>
+
+Tender No. 41(01)/2019/PROM
+
+Phone No. +91 33 2235 1331
+
+Dated: 20 th
+
+April, 2021.
+
+## Corrigendum No.2
+
+## Cancellation of Tender for RFQ cum RFP for Empanelment of Branding Consultants/Agencies
+
+Tender No.
+
+41(01)/2019/PROM Dated: 11/09/2020 CPP Portal Tender ID: 2020_TBI_582964_1
+
+All the interested bidders are advised to make note that the Tender for RFQ cum RFP for Empanelment of Branding Consultants/ Agenciesis hereby cancelled.
+
+Tea Board India appreciates the time and efforts of the in terested bidders and apologizes for any inconvenience this may have caused.
+
+Sd/- (Dr. Rishikesh Rai) Secretary

tools/benchmark-harness/vendored/docling/md/nougat_025.md

@@ -0,0 +1,63 @@
+## Non Free Float Security Wise Summary Report Central Depository Company of Pakistan Limited
+
+PKGP
+
+---
+
+---
+
+---
+
+31/12/2020
+
+PAKGEN POWER LIMITED
+
+No. Of Shares
+
+Category Description
+
+Category No.
+
+11:24:23
+
+08/01/2021
+
+C0069419
+
+1 of 1
+
+: Time
+
+: Date
+
+: User
+
+: Page#
+
+: Non Free Float Date
+
+: Security Symbol
+
+Issued Share / Certificate Capital of the Company / Modaraba / Mutual Funds
+
+372,081,591
+
+Less:
+
+Physical Shares
+
+(381,003) (14,933,840)
+
+Directors, Sponsors and Senior Management Officers and their Associates
+
+CAT02
+
+(199,565,474)
+
+Associate companies / Group Companies (cross holdings)
+
+CAT04
+
+157,201,274
+
+Free Float Shares

tools/benchmark-harness/vendored/docling/md/nougat_026.md

@@ -0,0 +1,921 @@
+Facility Number:
+
+Hospital Owner/Licensee:
+
+City:
+
+Address:
+
+Facility Name:
+
+Year of Reporting:
+
+Contact 1 e-mail Address:
+
+Contact 2 e-mail Address:
+
+Contact 3 e-mail Address::
+
+Name of Submitter:
+
+Submission Date:
+
+12460
+
+St. Mary's Medical Center San Francisco
+
+450 Stanyan Street
+
+San Francisco
+
+St. Mary's Medical Center San Francisco
+
+2012
+
+Robert Omens
+
+1/8/2013 9:03:02 AM
+
+## Provide the Hospital Owner and Year of Report per Section 130061(e)
+
+12460
+
+2012
+
+St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Page:1 of 13
+
+Report Year:
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+09/17/2012
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+<!-- image -->
+
+For buildings For buildings which are planned for rebuild, retrofit or replacement this report shall identify;  Whether the hospital owner intends to rebuild, retrofit or replace the building to SPC2, SPC3, SPC4 or SPC5 per 130061(c)(1)(A). The deadline, as described in Section 130060 or 130061.5,for rebuild, retrofit or replacement of the building that the hospital owner intends to meet, and the applicable extension for which the hospital owner has been approved per Section 130061(c)(1)(B)
+
+<!-- image -->
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+09/17/2012
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+<!-- image -->
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+Submission Date:
+
+01/08/2013
+
+2012
+
+12460
+
+- St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Provide the number of inpaient beds and patient days per type of service per building per Section 130061(c)(1)(F)
+
+BLD-01073
+
+McAuley Wing
+
+- [ ] Nursing
+
+Building Number:
+
+Building Name:
+
+- [ ] IntensiveCare
+
+- [x] X Psychiatric Nursing
+
+- [ ] Pediatric/Adol escent
+
+- [ ] Obstetrical Ante/Postprtum
+
+- [ ] Intermediate Care
+
+- [ ] Skilled Nursing
+
+- [x] X Clinical Lab
+
+- [x] X Emergency
+
+- [x] X Pharmaceutical
+
+- [x] X Dietetic
+
+- [x] X Administration
+
+- [x] X Central Plant
+
+22
+
+- [ ] 0
+
+- [x] 0 Inpatient Days
+
+## Type of Service Provided
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+- [x] 0 Inpatient Days 0
+
+- [x] 0 Inpatient Days 0
+
+- [x] 22 Inpatient Days 2753
+
+0 Inpatient Days 0
+
+- [x] 0 Inpatient Days 0
+
+0 Inpatient Days 0
+
+Total Beds this Building
+
+- [ ] Surgical
+
+- [ ] Obstetrical Recovery
+
+- [ ] Anesthesia
+
+- [ ] Newborn/ WellBaby
+
+- [ ] Support Services
+
+- [ ] Radiological/ Imaging
+
+- [ ] Outpatient Surgery
+
+- [ ] Nuclear Medicine
+
+- [ ] Rehabilitation Therapy
+
+- [ ] Renal Dialysis
+
+- [ ] Obstetrical Cesarean/Deliv
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+09/17/2012
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+2012
+
+12460
+
+San Francisco
+
+Building Number:
+
+Building Name:
+
+Pediatric
+
+Perinatal (excluse Newborn / GYN)
+
+Medical / Surgical (Include GYN)
+
+Intermediate Card
+
+Coronary Care
+
+Intensive Care
+
+Rehabilitation Center
+
+Chemical Dependency
+
+Acute Respiratory Care
+
+Skilled Nursing
+
+Burn
+
+intensive Care Newborn Nursery
+
+Acute Psychiatric
+
+Int. Care / development Disabled
+
+Total Beds this Building Per Unit
+
+Total Beds this Building Per Service
+
+Inpatient Bed 0
+
+- [ ] Inpatient Days 0
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed 0
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed 0
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed
+
+- [ ] Inpatient Days 0
+
+- [ ] Inpatient Bed 0
+
+Inpatient Days
+
+Inpatient Bed
+
+- [ ] Inpatient Days 0
+
+- [ ] Inpatient Bed 0
+
+- [ ] Inpatient 0
+
+Days
+
+- [ ] Inpatient Bed 0
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed
+
+- [ ] Inpatient Days 0
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed 0
+
+Inpatient Days
+
+Inpatient Bed
+
+BLD-01073
+
+McAuley Wing
+
+0
+
+0
+
+0
+
+- [ ] 0
+
+- [ ] 0
+
+0
+
+22
+
+22
+
+22
+
+2753
+
+0
+
+0
+
+0
+
+Provide the number of Inpatient beds and patient days per type of unit per building per Section 130061(c)(1)(F)
+
+Report Status:
+
+<!-- image -->
+
+1/9/2013 6:25 AM
+
+<!-- image -->
+
+1/9/2013 6:25 AM
+
+Print Date:
+
+Building Number:
+
+Building Name:
+
+- [ ] Nursing
+
+- [ ] IntensiveCare
+
+- [ ] Pediatric/Adol escent
+
+- [x] Psychiatric Nursing X
+
+- [ ] Obstetrical Ante/Postprtum
+
+- [ ] Intermediate Care
+
+- [ ] Skilled Nursing
+
+BLD-01073
+
+McAuley Wing
+
+Type of Service Provided
+
+- [ ] Surgical
+
+- [ ] Anesthesia
+
+- [ ] Support Services
+
+- [x] Administration X
+
+- [x] Dietetic X
+
+- [x] Pharmaceutical X
+
+- [x] Clinical Lab X
+
+- [ ] Radiological/ Imaging
+
+- [ ] Outpatient Surgery
+
+- [x] Central Plant X
+
+- [ ] Rehabilitation Therapy
+
+- [ ] Renal Dialysis
+
+- [x] X Emergency
+
+- [ ] Obstetrical Cesarean/Deliv
+
+- [ ] Obstetrical Recovery
+
+- [ ] Newborn/ WellBaby
+
+- [ ] Nuclear Medicine
+
+Report any general acute care hospital inpatient service that is provided in any genaral acute care hospital building that is rated SPC-1 per Section 130061(c)(4)
+
+12460
+
+2012
+
+- St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Page:8 of 13
+
+Report Year:
+
+Report Status:
+
+Data Last Update:
+
+1/9/2013 6:25 AM
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+Report Year:
+
+12460
+
+2012
+
+San Francisco
+
+Report the final configuration of all buildings on the hospital campus showing how each building will comply with the SPC-5/NPC-4 or 5 requirements whether by retrofit or by replacement and the type of service that will be provided in each general actue care hospital building per Section 130061(c)(5)
+
+- [x] Nursing X
+
+- [x] IntensiveCare X
+
+- [ ] Pediatric/Adol escent
+
+- [x] Psychiatric Nursing X
+
+- [ ] Obstetrical Ante/Postprtum
+
+- [ ] Intermediate Care
+
+- [x] Skilled Nursing X
+
+- [x] Support Services X
+
+- [x] Administration X
+
+- [x] Dietetic X
+
+- [x] Pharmaceutical X
+
+- [x] Radiological/ Imaging X
+
+- [x] Clinical Lab X
+
+- [x] Anesthesia X
+
+- [x] Surgical X
+
+- [ ] Obstetrical Recovery
+
+- [ ] Newborn/ WellBaby
+
+- [x] Emergency X
+
+- [x] Nuclear Medicine X
+
+- [x] Rehabilitation Therapy X
+
+- [x] Renal Dialysis X
+
+- [x] Outpatient Surgery X
+
+- [x] Central Plant X
+
+- [ ] Obstetrical Cesarean/Deliv
+
+Building Number:
+
+Type of Service Provided
+
+Building Name:
+
+BLD-01072
+
+Main Tower
+
+Remove from GAC service by 1/1/2030
+
+Configuration:
+
+<!-- image -->
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+09/17/2012
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+Report Year:
+
+12460
+
+2012
+
+- St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Page:10 of 13
+
+- [ ] Nursing
+
+- [ ] IntensiveCare
+
+- [ ] Pediatric/Adol escent
+
+- [x] Psychiatric Nursing X
+
+- [ ] Obstetrical Ante/Postprtum
+
+- [ ] Intermediate Care
+
+- [ ] Skilled Nursing
+
+- [ ] Support Services
+
+- [x] Administration X
+
+- [x] Dietetic X
+
+- [x] Pharmaceutical X
+
+- [ ] Radiological/ Imaging
+
+- [x] Clinical Lab X
+
+- [ ] Anesthesia
+
+- [ ] Surgical
+
+- [ ] Obstetrical Recovery
+
+- [ ] Newborn/ WellBaby
+
+- [x] Emergency X
+
+- [ ] Nuclear Medicine
+
+- [ ] Rehabilitation Therapy
+
+- [ ] Renal Dialysis
+
+- [ ] Outpatient Surgery
+
+- [x] Central Plant X
+
+- [ ] Obstetrical Cesarean/Deliv
+
+Building Number:
+
+Type of Service Provided
+
+Building Name:
+
+BLD-01073
+
+McAuley Wing
+
+Remove from GAC service by 1/1/2030
+
+Configuration:
+
+Report the final configuration of all buildings on the hospital campus showing how each building will comply with the SPC-5/NPC-4 or 5 requirements whether by retrofit or by replacement and the type of service that will be provided in each general actue care hospital building per Section 130061(c)(5)
+
+Report Status:
+
+1/9/2013 6:25 AM
+
+Data Last Update:
+
+09/17/2012
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+12460
+
+2012
+
+- St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Page:11 of 13
+
+Report Year:
+
+Include information on the number of inpatient beds by type of Service provided by buildings that are classified as SPC-2, SPC-3, SPC-4, and SPC-5 per Section 130061(e)
+
+BLD-01072
+
+Main Tower
+
+- [x] X Nursing
+
+- [x] X IntensiveCare
+
+Building Number:
+
+Building Name:
+
+- [x] X Psychiatric Nursing
+
+- [x] X Skilled Nursing
+
+- [ ] Pediatric/Adol escent
+
+- [ ] Obstetrical Ante/Postprtum
+
+- [ ] Intermediate Care
+
+- [x] X Surgical
+
+- [x] X Anesthesia
+
+- [x] X Clinical Lab
+
+- [x] X Emergency
+
+- [x] X Radiological/ Imaging
+
+- [x] X Nuclear Medicine
+
+- [x] X Pharmaceutical
+
+- [x] X Rehabilitation Therapy
+
+- [x] X Dietetic
+
+- [x] X Renal Dialysis
+
+- [x] X Administration
+
+- [x] X Outpatient Surgery
+
+- [x] X Support Services
+
+- [x] X Central Plant
+
+381
+
+299
+
+## Type of Service Provided
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+Inpatient
+
+Beds
+
+Inpatient Beds
+
+Inpatient Beds
+
+37
+
+0
+
+13
+
+0
+
+32
+
+0
+
+Total Beds this Building
+
+- [ ] Obstetrical Cesarean/Deliv
+
+- [ ] Obstetrical Recovery
+
+- [ ] Newborn/ WellBaby
+
+Report Status:
+
+Data Last Update:
+
+1/9/2013 6:25 AM
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+Report Year:
+
+12460
+
+2012
+
+- St. Mary's Medical Center San Francisco
+
+San Francisco
+
+Include information on the number of inpatient beds by type of unit provided by buildings that are classified as SPC-2, SPC-3, SPC-4, and SPC-5 per Section 130061(e)
+
+Building Number:
+
+Building Name:
+
+Pediatric
+
+Perinatal (excluse Newborn / GYN)
+
+Medical / Surgical (Include GYN)
+
+Intermediate Card
+
+Coronary Care
+
+Intensive Care
+
+Rehabilitation Center
+
+Chemical Dependency
+
+Acute Respiratory Care
+
+Skilled Nursing
+
+Burn
+
+intensive Care Newborn Nursery
+
+Acute Psychiatric
+
+Int. Care / development Disabled
+
+Total Beds this Building Per Unit
+
+Total Beds this Building Per Service
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient Days
+
+Inpatient Bed
+
+Inpatient
+
+Days
+
+Inpatient Bed
+
+BLD-01072
+
+Main Tower
+
+263
+
+18790
+
+- [ ] 0
+
+0
+
+0
+
+0
+
+37
+
+3377
+
+0
+
+0
+
+0
+
+- [ ] 0
+
+- [ ] 0
+
+- [ ] 0
+
+- [ ] 0
+
+0
+
+36
+
+5173
+
+0
+
+- [ ] 0
+
+381
+
+381
+
+- [ ] 13
+
+0
+
+- [ ] 32
+
+7478
+
+- [ ] 0
+
+- [ ] 0
+
+0
+
+0
+
+Report Status:
+
+Data Last Update:
+
+1/9/2013 6:25 AM
+
+Submission Date:
+
+01/08/2013
+
+Print Date:
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_027.md

@@ -0,0 +1,283 @@
+Page 1
+
+## Bulk and Regional Tariff Design Session 5B (DOS) Summary
+
+Public
+
+<!-- image -->
+
+## Bulk and Regional Tariff Design Stakeholder Engagement Session 5B (DOS) hosted on May 20, 2021
+
+## I. Purpose and objectives of the session
+
+The purpose of this session is to engage stakeholders in a discussion of the AESO's demand opportunity service (DOS) modernization recommendation to allow expanded eligibility (e.g., energy storage).
+
+The session objectives include:
+
+- Present additional background on the AESO's demand opportunity service - what it is, the service it provides, and how it operates today
+- Share our learnings on DOS modernization stakeholder feedback
+- Present and discuss the AESO's DOS modernization recommendation for the purpose of seeking takeholder feedback on the recommendation
+
+## II. Session agenda
+
+| Time         | Agenda Item                                                                                                                                                                                                                          | Presenter      |
+| ------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -------------- |
+| 8:00 - 8:15  | Welcome, introduction, purpose, and session objectives including extension requestion on engagement and filing schedule                                                                                                              | AESO / Stack'd |
+| 8:15 - 9:00  | DOS 101 - describes how the current DOS rate works today • Origins of DOS • How the current DOS rate is derived • How DOS works o How to apply for it, use it, curtail it, how is it charged and what happens if you misuse it • Q&A | AESO           |
+| 9:00 - 9:20  | Recap of AESO conclusions on non-firm rates • Q&A                                                                                                                                                                                    | AESO           |
+| 9:20 - 9:35  | Break                                                                                                                                                                                                                                |                |
+| 9:35 - 9:45  | Key highlights of AESO's DOS modernization recommendation • Opportunity rate design principles • Proposed key changes to DOS                                                                                                         | AESO           |
+| 9:45 - 10:05 | What we heard • DOS rate under preferred rate design • Fast recall rate • Annual term for DOS • DOS take-or-pay requirement • Provision of ancillary services as a DOS customer • Availability of capacity                           | AESO           |
+
+Enter Footer
+
+<!-- image -->
+
+<!-- image -->
+
+Page 1
+
+Public
+
+<!-- image -->
+
+<!-- image -->
+
+| Time          | Agenda Item                                                                                                                                | Presenter      |
+| ------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | -------------- |
+| 10:05 - 11:30 | AESO's DOS modernization recommendation • DOS Eligibility • DOS Connections • DOS Transactions • Suspension of DOS • DOS Rates Streamlined | AESO           |
+| 11:30 - 12:00 | Break                                                                                                                                      |                |
+| 12:00 - 12:50 | Q&A Period • What we heard • AESO's DOS modernization recommendation                                                                       | AESO           |
+| 12:50 - 1:00  | Session close-out and next steps                                                                                                           | AESO / Stack'd |
+
+## III. Attendees
+
+| Company                                                           |
+| ----------------------------------------------------------------- |
+| Alberta Direct Connect Consumers Association ('ADC')              |
+| Alberta Electric System Operator ('AESO')                         |
+| Alberta Energy                                                    |
+| Alberta Newsprint Company ('ANC')                                 |
+| Alberta Utilities Commission ('AUC')                              |
+| AltaLink Management Ltd.                                          |
+| AltaSteel                                                         |
+| Arcus Power Corporation                                           |
+| ASCENT Energy Partners Ltd.                                       |
+| ATCO Electric Ltd.                                                |
+| Best Consulting Solutions Inc.                                    |
+| BluEarth Renewables Inc.                                          |
+| Boost Energy Ventures                                             |
+| Brubaker & Associates, Inc., on behalf of ADC                     |
+| Canadian Renewable Energy Association ('CanREA')                  |
+| Capital Power                                                     |
+| Chymko Consulting, on behalf of Cities of Lethbridge and Red Deer |
+| Consumers Coalition of Alberta ('CCA')                            |
+| Cenovus Energy                                                    |
+| Chapman Ventures Inc.                                             |
+
+Enter Footer
+
+<!-- image -->
+
+| Company                                                     |
+| ----------------------------------------------------------- |
+| CNRL                                                        |
+| Customized Energy Solutions                                 |
+| DePal Consulting Limited                                    |
+| Enbridge Pipelines Inc.                                     |
+| Enel NA                                                     |
+| Energy Storage Canada                                       |
+| ENMAX Corporation                                           |
+| EnPowered Inc.                                              |
+| EPCOR Distribution & Transmission Inc.                      |
+| EQUS                                                        |
+| ERCO Worldwide                                              |
+| FortisAlberta Inc.                                          |
+| Heartland Generation Ltd.                                   |
+| Imperial Oil                                                |
+| Industrial Power Consumers Association of Alberta ('IPCAA') |
+| Lionstooth Energy Inc.                                      |
+| Mercer Peace River Pulp                                     |
+| Millar Western Forest Products                              |
+| NextEra Insights Inc.                                       |
+| Northern Sunrise County                                     |
+| NRGCS                                                       |
+| Power Advisory LLC                                          |
+| RMP Energy Storage                                          |
+| Rodan Energy Solutions                                      |
+| Solas Energy Consulting Inc.                                |
+| Suncor Energy Inc.                                          |
+| TC Energy                                                   |
+| The Office of the Utilities Consumer Advocate ('UCA')       |
+| TransAlta Corporation                                       |
+| Turning Point Generation                                    |
+| URICA Asset Optimization                                    |
+| West Fraser                                                 |
+
+Enter Footer
+
+<!-- image -->
+
+<!-- image -->
+
+| Company                  |
+| ------------------------ |
+| Weyerhaeuser             |
+| Stack'd Consulting, Inc. |
+| Attendees by phone       |
+| 14034636639              |
+| 14038284900              |
+| 15878894627              |
+
+## IV. Overall outcomes from the day
+
+The main objective of the session was for the AESO to present its recommendations for DOS modernization. Participants engaged in discussion and overall, stakeholders agreed that more clarity was needed to achieve a better understanding of the modernized DOS.
+
+## V. Session highlights
+
+Captured below are the highlights of the questions and discussion on a topic-by-topic basis. For a detailed review of the session, please refer to the session recording, posted at <https://www.aeso.ca>.
+
+Topic 1: DOS 101 - how the current DOS rate works today
+
+## i. Stakeholder Commentary
+
+- Clarifying comments:
+- o Solas Energy: Does the AESO use economic thresholds for any other connection load or generation?
+- o ERCO: Could you provide the timing of the AESO's review of the DOS application? Days? Weeks?
+- o AltaSteel: Does the AESO have any historic numbers of MW applied for and granted in the DOS?
+- o Best Consulting: On Slide 27 (Current DOS usage request process), how are there only two reasons for denial listed when there is supposed to be an economic case?
+- o CanREA: Are there other services where a lack of compliance can result in loss of access to the service?
+- o TransAlta: If the AESO disqualifies a DOS customer as a consequence of an audit, is there a dispute resolution mechanism in place?
+
+## ii. AESO Clarification
+
+- Response to clarifying comments:
+- o DOS is the only rate that requires economic thresholds.
+
+Enter Footer
+
+<!-- image -->
+
+- o Regarding application review, the AESO takes 30 days from receipt of the application to approval.
+- o Regarding the historic numbers of MW of applied for DOS, these numbers can be found on Slide 90 (Historical DOS statistics) of the presentation.
+- o Regarding Slide 27, this slide is not about eligibility, it is about transaction requests.
+- o Regarding lack of compliance within other services, there are provisions within the ISO tariff that allow the AESO to terminate Demand Transmission Service (DTS).
+- o The AESO has a process for dispute resolution set out in the ISO rules.
+
+## Topic 2: Recap of AESO conclusions on non-firm rates
+
+## i. Stakeholder commentary
+
+- Clarifying Questions:
+- o ADC: Has the AESO studied the stress conditions with and without the response of the price responsive load?
+- o IPCAA: Is the AESO forecasting load on the system or is the new issue forecasting generation on the system? In 2014 the AESO was forecasting for 2025, 16,318 MW of Alberta Internal Load (AIL) on the system, in 2019 it was forecasting 12,803 MW of AIL on the System, a decrease of over 3500 MW of AIL.
+- o Weyerhaeuser: Can the AESO provide their information for load forecasting at an individual point-of-delivery (POD)?
+- o Alberta Newsprint: After listening to the AESO, there's a stronger case for an interruptible rate. What I'm hearing is that the AESO did not build the system for the average load during stress conditions. Then, the argument is that some loads should not be paying the average transmission charges because the AESO did not build the system for the average load.
+- o Solas Energy: Does the extreme conditions include 24x7 solar production at max. capacity and wind at max. from all facilities on an 8760 basis?
+- o ADC: It seems like the AESO is aligned with the concept of coincident peak (CP); the concern is then the value. In the absence the study of the system with and without price responsive load at times of system stress, how can the value of the CP charge be adequately determined? There is some real value that happens in real time with the behaviour of particular loads. What would happen without these price responsive loads behaving as they do today?
+- o Suncor: The AESO takes into account the diversity of load and does not stack DTS capacities, which implies that some customers add to the transmission system stress more than others independent of their contract capacity or total energy consumption. Coincidence/correlation among customers is clearly a system planning driver and should therefore be a cost driver and be appropriately reflected in rates.
+
+Enter Footer
+
+## ii. AESO clarification
+
+- Response to clarifying questions:
+- o The AESO continues to forecast both load and generation. Looking forward, we are not going to be seeing load growing as much. The reinforcements to serve load are very small regional developments.
+- o One aspect of DOS is that there is mirror-type behaviour and capability on the system customers will want to use that capability at peak.
+- o Regarding POD level forecasting, the AESO provides some high-level details of POD level forecasting when we release the long-term outlook. However, at the level of individual PODs, there is some commercially sensitive information - that is why the AESO has not historically released POD information.
+- o The AESO creates study conditions for a range of planning activities to drive longer term plans. The AESO sees interruptible rates as being locationally driven. If an interruptible rate was provided in a specific region, it would be locationally specific where providing the rate would relieve the constraint. The specificity of an interruptible rate does not align with the postage stamp constraints that the AESO is trying to operate within.
+- o In creating study conditions, the likely output of solar and wind are included. We have to identify what the right combination for solar and wind snapshot conditions are.
+- o Under the current embedded cost allocation method and the one the AESO is recommending, there are a set of costs that have been deemed prudent to recover. It is a construct that is looking to align cost recovery with billing determinants and rates that get as close as possible to cost causation principles.
+
+Topic 3: Key highlights of AESO's DOS modernization recommendation
+
+## i. Stakeholder commentary
+
+- Clarifying comments:
+- o CanREA: On Slide 16 (The origins of DOS circa 2001), can the AESO explain using "Cost Causation" to determine the rate when the original principle was that the rate should be based on value not costs?
+- o Power Advisory: On Slide 51 (Annual term for DOS) - any customer using DOS rate would have to have a must bid requirement. But your proposal for market participation said you could choose either to bid or not.
+- o ADC: I would like to understand the second last bullet on Slide 51. If your load is 29 MW, would your load not be compliant?
+
+## ii. AESO clarification
+
+- Response to clarifying comments:
+- o Regarding Slide 16, this slide references that DOS is supportive of cost causation principles. DOS does not cause costs and therefore having a rate that is based on value, aligns with cost causation principles.
+
+Enter Footer
+
+<!-- image -->
+
+<!-- image -->
+
+- o Regarding Slide 51, the AESO's proposal for energy storage market participation said customers could choose either to bid or not. But we believe the best way to modernize the transaction portion of DOS is to have DOS moved into real time operations.
+- o Regarding the second last bullet on Slide 51, what the AESO was trying to highlight here is that if your load was at 20 MW, the settlement of DOS relies on metered volume. So, if your metered volume never got up to your DTS contract capacity, that energy would still be charged under DTS. When responding to a bid, the dispatch instruction is based on where your load is currently at and where you were dispatched from a compliance perspective.
+
+## Topic 4: AESO's DOS modernization recommendation
+
+## i. Stakeholder commentary
+
+- Some participants were concerned with the AESO's use of historical data:
+- o Capital Power: Has the AESO looked at different energy storage configurations? There's a bit of concern with always using historical behaviour to predict what future behaviour will look like.
+- o ADC: Given the lack of historical use of DOS, how is the historical assessment of usage relevant?
+- o TransAlta: What relevance does historical DOS load have if there weren't any energy storage providers under DOS in this historical period?
+- Some participants were concerned with the perceived penalization within the AESO's modernized DOS recommendation:
+- o TransAlta: It seems like the AESO has designed two penalties - the DOS customer that consumes above the rate is curtailable/interruptible and then also incurs the same cost as a DTS customer. If you charge the customer DTS, why would they be curtailable today (isn't this rate design discriminatory)?
+- o TransAlta: Why is the AESO concerned about load customer dispatch compliance (why is it an issue if the customer doesn't consume their full DOS)? I'm not understanding the penalty on the customer's ability to get DOS in the future if they have already been ratcheted in the past.
+- o ADC: With respect to meeting the dispatch requirements, this is problematic because if you're paying for DTS service for 20 MWs, you are offered 10 MWs and only use 5 MW, why would you have to dispatch below your DTS capacity? You shouldn't be required to interrupt below your firm level.
+- o ASCENT Energy: Regarding the energy market versus DOS tariff charge - is it fair to say that one can only get the DOS rate (and avoid a DTS ratchet) if they bid (rather than give notice)? In the current DOS tariff, you have to give notice that you're planning to access your DOS - that's being replaced by the bidding process. If you fail to bid, you'll just run over your DTS limit, set a new ratchet and your bill will be bigger?
+- Clarifying comments:
+
+Enter Footer
+
+<!-- image -->
+
+- o TC Energy: On the business case piece, what I worry about is the subjectivity associated with it. Two parties might submit business cases that are similar and one might end up being eligible for DOS and the other might not be. How does the AESO plan to address that?
+- o TC Energy: If a new revenue stream becomes available for a facility that bumps you above 20 per cent, they might now get pushed off DOS to DTS, which means you'll have to forego the new revenue stream. Can the AESO bump it up to 25 per cent to allow for more flexibility?
+- o Best Consulting: What would your bid be at various points on the graph on Slide 63 (DOS maximum load factor - Example)?
+- o Capital Power: Given the 20 per cent load factor is an annual measure, and settlement is monthly. How will this be performed? Will the AESO have to retroactively adjust its billings if load exceeds the 20 per cent?
+- o Solas Energy: Would you expect energy storage to use Supply Transmission Service (STS) and DOS or would DOS be used for charging and discharging?
+- o Capital Power: At what stage in the AESO's connection process would it assess a DOS request?
+- o CCA: Given that DOS capacity is not planned, what is the mechanism for recall in the event of transmission stress situations? I note that energy market dispatchability is purely an energy market issue and not a transmission one.
+- o Solas Energy: What is the AESO trying to achieve with DOS? What's the design based on (i.e., other jurisdictions)? Why do you need the application with commercially sensitive information? Are you bidding in the rate of change of charge or are you bidding in the absolute?
+- o Chapman Ventures: If there was a limitation on the system that wasn't just related to having firm capacity, there would be instance where STS wouldn't be available as well. All things equal, would that be a decision left to the project proponent?
+- o ATCO: Looking for clarification on the maximum annual DOS limit of 20 per cent. For a load contracted at 10 MW DTS, is the maximum annual 20 per cent load factor calculated as: (a) 10 MW x 20% x 8760 = 17,520 MWh or (b) 10 MW x 80% x 8760 x 0.2 = 14,016 MWh? Is the annual DOS limit applied monthly as the above number divided by 12?
+- o Alberta Newsprint: We're making it very cumbersome on the load - we'll end up with a similar issue that we have now that not a lot of people will take to DOS.
+- o ADC: The DOS tariff was presented as a potential opportunity for the most impacted customers. But now that the AESO has introduced the 20 per cent load requirement, it would put DOS out of eligibility for those customers. Where did the 20 per cent come from?
+- o ADC: Would there be any possibility just for the DOS to be a standard bid in the energy market? Could you just not have the 10 MW bid in and when you use it you use it?
+- o Best Consulting: As DOS is an opportunity service and transmission won't be built for it, what would you do if a firm load showed up and wanted to use the capacity and are willing to pay DTS for it?
+
+Enter Footer
+
+<!-- image -->
+
+- o Lionstooth Energy: From a quick scan of the AESO's project list, there are about 14 storage projects in the queue. Over half (~eight) of these appear to be connecting via the Distribution system. Has the AESO had discussions with distribution facility owners (DFOs) for how DOS concepts would flow through to the DFO tariffs? Is there a concern that there will continue to be different tariff signals sent between ISO and DFO tariffs?
+- o DePal Consulting: It sounds like a storage proponent might want to have a certain level of DTS because that protects them. If that's the case, that's really up to the project proponent on how much risk they want to take?
+- o Suncor: Concerned about a subgroup of industry discussing rate alternatives, as rates classes should principally be open to everyone. Further, if there is financial mitigation, it will have to be financed by other ratepayers, so those ratepayers should be allowed to be at the table. Asked the AESO to consider opening up for participation outside of the targeted mitigation customers?
+
+## ii. AESO clarification
+
+- Response to comments regarding the perceived penalization for DOS users:
+- o The AESO is not going to force customers to consume their dispatch level.
+- o If a customer doesn't bid and runs over their DTS, then their bill would be bigger.
+- o Regarding the perception of 'double penalties', when a customer is dispatched to provide the DOS and if they exceeded their 20 per cent, there would be no impact to their contract capacity for DTS, but the AESO would charge that portion to the DTS rate. If the customer is consuming above the DTS contract capacity outside of the DOS, that is a different assessment covered by other provisions in the ISO tariff.
+- Response to clarifying comments:
+- o The business case was always there for DOS. The AESO understands it is a qualitative assessment with some subjectivity. The current DOS heavily relied on the business case. We think that by adding the load factor, goes a long way to assessing the overall application and there's less emphasis based on the business case.
+- o DOS is not a rate for only energy storage.
+- o For energy storage there are a wide range of energy storage implementations and the AESO would have to consider these in the assessment of the business case.
+- o The current bidding rules would allow you to submit the bid whenever you choose to bid. If you weren't above your DTS line and you submitted a bid, you would still have to respond to the dispatch even though it's not technically your DOS load. Settlement and dispatch aren't closely coupled because it allows customers to control both load and bid.
+- o Regarding time periods, the load factor was to be an annual load factor and the settlement done on a monthly basis. There would be an adjustment made to the monthly bill to calculate that on a go forward basis.
+- o The expectation is that you have to demonstrate you can operate the asset without DOS energy, under DTS. If you didn't have DOS energy, how would you ever charge your asset.
+
+Enter Footer
+
+<!-- image -->
+
+-  DOS is using capacity that is deemed excess, that capacity is recallable. You could not operate a site without at least some capability to charge and we think there's a minimum that should be chargeable by DTS if DOS was unavailable.
+-  The minimum charge to DTS is part of our assessment to determine whether you're relying on DOS completely.
+- o Regarding transmission stress situations, even for energy market assets, there is the possibility for constraint and the AESO has the ability to constrain down assets. We would apply the same tools to DOS loads if a local constraint were to happen.
+- o There's a distinction between dispatching and settlement. The way dispatching works today is on a merit order. The controller is looking for a delta change between the time you were dispatched and the time when they expect you to change your load. That load may or may not be DOS load.
+- o Regarding the targeted mitigation engagement, the AESO will be asking what parts of this proposal work and don't work for mitigation.
+- o The 20 per cent load requirement is included in the proposal here so we can find the right balance between DOS and DTS in order to avoid DTS cannibalization.
+- o Regarding the how DOS concepts would flow through to the DFO tariffs, the AESO hasn't completely thought through all of that, but depending on the right metering and ability to respond by the energy storage distribution connected, don't see major issues right away. There is more work to be done by the AESO on this.
+
+Enter Footer

tools/benchmark-harness/vendored/docling/md/nougat_028.md

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+BATTERSEA BRIDGE ROAD
+
+THAMES
+
+<!-- image -->
+
+ALBERT BRIDGE ROAD
+
+THE FACE OF LONDON is changing. The banks of the River Thames, neglected for decades as they drifted into industrial decay, are again reclaiming their place in the hearts of residents and city planners alike.
+
+Today, prestigious cultural landmarks compete for attention with luxury property developments, especially south of the river where the opening of the Tate Modern art gallery on the site of a decommissioned power station has helped tilt London's cultural centre of gravity.
+
+Take Albion Riverside, for example.
+
+This development is much more than a residential complex. It is designed to be the heart of a vibrant new neighbourhood, expanding modern urban living options in the busy capital.
+
+The widely acclaimed structure, famously dubbed 'The Glass Doughnut', was designed by the world renowned and award-winning architect Lord Norman Foster, whose other masterpieces include the passenger terminal at Chek Lap Kok Airport and the HSBC building in Hong Kong, the Bilbao Metro in Spain and more recently the Swiss
+
+## ALBION RIVERSIDE FACT FILE
+
+<!-- image -->
+
+Address : 8 Hester Road, Battersea, London, SW11 4AP.
+
+Number of units: 196 apartments, including 13 penthouses.
+
+Size
+
+: 1 bedroom (550-750 sq ft) to
+
+4 bedrooms (2,000 sq ft). Penthouses:
+
+3-6 bedrooms (3,000-8,500 sq ft).
+
+Amenities: Gym, swimming pool, underground car park, 24-hour concierge
+
+service, private podium garden.
+
+Reinsurance headquarters 'Gerkin' in the City of London.
+
+Albion Riverside lies between the historic Albert and Battersea bridges, offering phenomenal views of the Thames. It has all the hallmarks of a Lord Foster creation: calm, airy interiors encased in a stunning visual exterior. 'The aluminium and glass curved design gives the building maximum view, as well as ensuring a high degree of privacy,' said Dr Edmond Ho, Executive Director and General Manager of Hutchison Whampoa Properties (Europe).
+
+Completed in early 2004, the building has set a new standard for urban living, attracting a strong following among celebrities and the super rich normally associated with the affluent strongholds of Belgravia, Knightsbridge and Kensington north of the river. The Albion Riverside development won the Best Apartment Building award at the
+
+Mail on Sunday Design Awards 2005.
+
+Suddenly, the South Bank is very much in fashion. Boosted by opulent developments such as Albion Riverside, only a 10 minute walk from the shopping mecca of King's Road, the South Bank today is emerging as a new oasis of culture and style.
+
+The sales figures speak volumes for Albion Riverside. No flashy advertising campaign or marketing gimmicks were needed in high society London where word of mouth is far more effective. The flats sold very well, attracting celebrities such as Oscar-winning composer Leslie Bricusse, golfer Colin Montgomerie and several members of the Chelsea soccer team.
+
+Around 75 per cent of the apartments have so far been bought by UK buyers, with the remaining going to overseas buyers, Hong Kong included. It goes without saying that the feng shui is excellent.
+
+If you have the cash, the going rate for the largest penthouse duplex, which has up to six bedrooms, has been priced at a whopping GBP10 million. Those who can training racility in the complex.
+
+Other exciting retail opportu- nities are on the way, including
+
+discussions about the opening of a leading restaurant that could
+
+trol options. They can even be accessed via the Internet or a mobile phone when you are away from home. 'The control panel allows you to remotely control lighting and audio, as well as other types of functions within the flat, ' said Dr Ho.
+
+Inside, a massive entrance hall leads visitors to a majestic staircase that takes them up to a glazed cloister running the length of the building, giving access to four lifts and a doubt It Will change not just the physi-
+
+cal landscape of historical neighbour- hoods but also challenge cultural per-
+
+ceptions about them.
+
+"While traditionally focusing on devel- space. 'We are negotiating the contract now. It is taking a little bit longer than expected because as it is a restaurant, the restaurateur is being very careful to ensure the kitchen and designs are what
+
+The building has set a new standard for urban living private riverside garden. Residents can also make use of an impressive health and leisure centre, and a 20-metre indoor pool.
+
+Meanwhile, the retail space has attracted the likes of major art dealer Michael Hue-Williams and his spectacular Albion Gallery is a major attraction emphasising the cultural shift away from London's West End. On the more conventional retail front, elite kitchen and bathroom outfitters, Alternative Plans, have joined a leading personal training facility in the complex.
+
+<!-- image -->
+
+Other exciting retail opportunities are on the way, including discussions about the opening of a leading restaurant that could take up 6,500 square feet of floor afford such luxury will remain under the Lord Foster spell long after they have gone home and shut the front door. Everything, from the layout of each apartment, bespoke bathrooms and kitchens down to even the lighting and the door handles, were designed by Lord Foster's team.
+
+The strong aesthetics aside, every home is also equipped with smart technology, which makes available a whole new world of cutting-edge remote con- he wants,' Dr Ho said. 'I hope the deal will be announced very soon.'
+
+It would be wrong to suggest that Albion Riverside is a compound created just for the wealthy. As part of a new planning commitment to the local community, the mixed-use development has two other buildings. A low-rise apartment building caters for professional key workers such as nurses and teachers, while Hutchison Whampoa has its European headquarters in another separate low-rise office building on the same site, putting all its European operations including Ports, 3G, Properties and Watsons under one roof. SPHERE 31
+
+If Hutchison continues to take up projects on such a scale and employs the same sense of adventure, there is no doubt it will change not just the physical landscape of historical neighbourhoods but also challenge cultural perceptions about them.
+
+'While traditionally focusing on developing residential properties in prime
+
+The lap of luxury: interior shots of the award-winning Albion Riverside; Opposite page: The development has the perfect riverside location.
+
+<!-- image -->
+
+London locations, we are also looking at developing retail and office space,' said Patrick Leung, General Manager, Hong Kong Development and Marketing, Hutchison Whampoa Properties. 'In addition to London, the company is also looking at other big cities in the UK as well as seeking out properties in other countries.'
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_029.md

@@ -0,0 +1,146 @@
+<!-- image -->
+
+## Bispindle in strongly connected digraphs with large chromatic number
+
+Nathann Cohen, Frédéric Havet, William Lochet, Raul Lopes
+
+## To cite this version
+
+Nathann Cohen, Frédéric Havet, William Lochet, Raul Lopes. Bispindle in strongly connected digraphs with large chromatic number. Electronic Notes in Discrete Mathematics, Elsevier, 2017, 62, pp.69 - 74. ￿10.1016/j.endm.2017.10.013￿. ￿hal-01634307￿
+
+## HAL Id: hal-01634307 <https://hal.inria.fr/hal-01634307>
+
+Submitted on 13 Nov 2017
+
+HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.
+
+L'archive ouverte pluridisciplinaire HAL , est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
+
+## Bispindle in strongly connected digraphs with large chromatic number
+
+Nathann Cohen 1
+
+CNRS, LRI, Univ. Paris Sud, Orsay, France
+
+Fr´ ed´ eric Havet 2
+
+Univ. Cˆ ote d'Azur, CNRS, I3S, INRIA, France
+
+William Lochet 3
+
+Univ. Cˆ ote d'Azur, CNRS, I3S, INRIA, and LIP, ENS Lyon, France
+
+Raul Lopes 4
+
+Departamento de Computa¸ cao, Universidade Federal do Cear´ a, Fortaleza, Brazil
+
+## Abstract
+
+A ( k 1 + k 2 ) -bispindle is the union of k 1 ( x, y )-dipaths and k 2 ( y, x )-dipaths, all these dipaths being pairwise internally disjoint. Recently, Cohen et al. showed that for every (2 + 0)- bispindle B , there exists an integer k such that every strongly connected digraph with chromatic number greater than k contains a subdivision of B . We investigate generalisations of this result by first showing constructions of strongly connected digraphs with large chromatic number without any (3 + 0)bispindle or (2+2)-bispindle. Then we show that for any k , there exists γ k such that every strongly connected digraph with chromatic number greater than γ k contains a (2 + 1)-bispindle with the ( y, x )-dipath and one of the ( x, y )-dipaths of length at least k .
+
+Keywords: Digraph, chromatic number, subdivision.
+
+## 1 Introduction
+
+Throughout this paper, the chromatic number of a digraph D , denoted by χ ( D ), is the chromatic number of its underlying graph. In a digraph D , a directed path , or dipath , is an oriented path where all the arcs are oriented form the initial vertex towards the terminal vertex. A k -spindle is the union of k internally disjoint ( x, y )-dipaths for some vertices x and y . Vertex x is said to be the tail of the spindle and y its head . A ( k 1 + k 2 ) -bispindle is the internally disjoint union of a k 1 -spindle with tail x and head y and a k 2 -spindle with tail y and head x . In other words, it is the union of k 1 ( x, y )-dipaths and k 2 ( y, x )-dipaths, all of these dipaths being pairwise internally disjoint.
+
+A classical result due to Gallai, Hasse, Roy and Vitaver is the following.
+
+```text
+Theorem 1.1 (Gallai [8], Hasse [9], Roy [11], Vitaver [12]) If χ ( D ) ≥ k , then D contains a dipath of length k -1 .
+```
+
+This raises the question of which digraphs are subdigraphs of all digraphs with large chromatic number.
+
+A classical theorem by Erd˝ os [6] implies that if H is a digraph containing a cycle, there exist digraphs with arbitrarily high chromatic number with no subdigraph isomorphic to H . Thus the only possible candidates to generalise Theorem 1.1 are the oriented trees that are orientations of trees. Burr[3] proved that every ( k -1) 2 -chromatic digraph contains every oriented tree of order k and conjectured an upper bound of 2 k -2. The best known upper bound, due to Addario-Berry et al. [1], is in ( k/ 2) 2 .
+
+However the following celebrated theorem of Bondy shows that the story does not stop there.
+
+Theorem 1.2 (Bondy [2]) Every strongly connected digraph with chromatic number at least k contains a directed cycle of length at least k .
+
+1 <nathann.cohen@gmail.com>
+
+2 <frederic.havet@cnrs.fr>
+
+3 <william.lochet@gmail.com>
+
+4 <raul.wayne@gmail.com>
+
+The strong connectivity assumption is indeed necessary, as transitive tournaments contain no directed cycle but can have arbitrarily high chromatic number.
+
+Observe that a directed cycle of length at least k can be seen as a subdivision of /vector C k , the directed cycle of length k . Recall that a subdivision of a digraph F is a digraph that can be obtained from F by replacing each arc uv by a dipath from u to v .
+
+Conjecture 1.3 (Cohen et al. [5]) For every cycle C , there exists a constant f ( C ) such that every strongly connected digraph with chromatic number at least f ( C ) contains a subdivision of C .
+
+The strong connectivity assumption is also necessary in Conjecture 1.3 as shown by Cohen et al. in [5]. In the same paper, Conjecture 1.3 was confirmed for cycles with two blocks (i.e. maximal subdipaths of the cycle) and the antidirected cycle of length 4. More precisely, denoting by C ( k, /lscript ) the cycle on two blocks, one of length k and the other of length /lscript , Cohen et al. [5] proved the following.
+
+Theorem 1.4 Every strongly connected digraph with chromatic number at least O (( k + /lscript ) 4 ) contains a subdivision of C ( k, /lscript ) .
+
+The bound has recently been improved to O (( k + /lscript ) 2 ) by Kim et al. [10]. A subdivision of C ( k, /lscript ) can be seen as a 2-spindle made of two internally disjoint dipaths, one of length at least k and one of length at least /lscript . In this paper, we generalize this and study the existence of subdivision of spindles and bispindles in strongly connected digraphs with large chromatic number. Our first result is to give constructions for the following theorem:
+
+Theorem 1.5 For every integer k , there exists a strongly connected digraph D with χ ( D ) &gt; k that contains no 3 -spindle and no (2 + 2) -bispindle.
+
+Therefore, the most we can expect in all strongly connected digraphs with large chromatic number are (2 + 1)-bispindle. Let B ( k 1 , k 2 ; k 3 ) denote the (2+1)-bispindle formed by three internally disjoint paths between two vertices x, y , two ( x, y )-dipaths, one of size k 1 , the other of size k 2 , and one ( y, x )-dipath of size k 3 . We conjecture the following.
+
+Conjecture 1.6 There is a function g : N 3 → N such that every strongly connected digraph with chromatic number at least g ( k 1 , k 2 , k 3 ) contains a subdivision of B ( k 1 , k 2 ; k 3 ) .
+
+As an evidence, we prove the following theorem:
+
+Theorem 1.7 For every positive integer k , there is a constant γ k such that every strongly connected digraph witch chromatic number greater than γ k contains a subdivsion of B ( k, 1; k ) .
+
+The value of γ k is the above theorem is huge, and certainly not best possible. We get a better bound for subdivision of B ( k, 1; k ).
+
+Theorem 1.8 Let k ≥ 3 be an integer and let D be a strong digraph. If χ ( D ) &gt; (2 k -2)(2 k -3) , then D contains a subdivision of B ( k, 1; 1) .
+
+## 2 Proof of Theorem 1.7
+
+Weprove Theorem 1.7 by the contrapositive. We consider a digraph D without any subdivision of B ( k, 1; k ). We shall prove that χ ( D ) ≤ γ k .
+
+The general idea is to use the following easy lemma.
+
+Lemma 2.1 Let D be a digraph, D 1 . . . D l be disjoint subdigraphs of D and D ′ the digraph obtained by contracting each D i into one vertex d i . Then χ ( D ) ≤ χ ( D ′ ) · max { χ ( D i ) | 1 ≤ i ≤ l } .
+
+The key is to find appropriate subdigraphs D i . To do so, we consider some particular collections of directed cycles : a collection C of directed cycles is k -suitable if all cycles of C have length at least 8 k , and any two distinct cycles C i , C j ∈ C intersect on a subpath of order at most k . A component of C is a connected component of the underlying graph of the digraph ⋃ C which is the union of cycles of C .
+
+Consider C be a maximal k -suitable collection of cycles in D . Let D ′ be the digraph obtained by contracting every strong component S of ⋃ C (which is ⋃ S for some component S of C ) into one vertex. For each connected component S i we call s i the new vertex created. To apply Lemma 2.1, we shall prove in the next two lemmas that for every component S of C , the digraph D [ S ] induced by D on the vertices of ⋃ S has bounded chromatic number and that χ ( D ′ ) ≤ 8 k .
+
+Lemma 2.2 Let C be a k -suitable collection of directed cycles in a B ( k, 1; k ) -free digraph D . There exists a constant β k such that, for every component S of C , we have χ ( D [ S ]) ≤ β k .
+
+Sketch of proof : We first consider ⋃ S which is a subdigraph of D [ S ]. We prove by induction on the number of cycles in S that this digraph admits a proper colouring φ with α k = 2 · (6 k 2 ) 3 k +14 k colours satisfying the following additional property, called rainbow property : the vertices of each subpath of length at most 7 k of each cycle of S get different colours.
+
+We then define a sort of Breadth-First-Search for S . Let C 0 be a cycle of S and set L 0 = { C 0 } . We build the levels L i inductively until all cycles of S are put in a level : L i +1 consists of every cycle C l not in ⋃ j ≤ i L j such that there exists a cycle in L i intersecting C l . For every C l ∈ L i +1 , we choose one of the cycles L i intersecting it to be its father . For a vertex x of ⋃ S , we say that x belongs to level L i if i is the smallest integer such that there exists a cycle in L i containing x .
+
+We partition the arc set of D [ S ] in ( A 0 , A 1 , A 2 ), where
+
+- A 0 is the set of arcs of D [ S ] which ends belong to the same level, and
+- A 1 is the set of arcs of D [ S ] which ends belong to different levels i and j with | i -j | &lt; k .
+- A 2 is the set of arcs of D [ S ] which ends belong to different levels i and j with | i -j | ≥ k .
+
+For i ∈ { 0 , 1 , 2 } , let D i be the spanning subdigraph of D [ S ] with arc set A i . It is well-known that χ ( D [ S ]) ≤ χ ( D 0 ) × χ ( D 1 ) × χ ( D 2 ).
+
+Clearly, χ ( D 1 ) ≤ k , and we show that χ ( D 2 ) ≤ 4 k 2 +2. To bound χ ( D 0 ) we partition the vertex set according to the above-mention colouring φ of ⋃ S . Using the rainbow property, we prove that the subdigraph of D 0 induced by the vertices of colour c has chromatic number at most 2 · (4 k ) 4 k + 1 for all colour c . Hence χ ( D 0 ) ≤ (2 · (4 k ) 4 k + 1) α k . This gives the result for β k = k (4 k 2 +2)(2 · (4 k ) 4 k +1) α k . /square
+
+## Lemma 2.3 χ ( D ′ ) ≤ 8 k
+
+Proof. First note that since D is strongly connected so is D ′ .
+
+Suppose for a contradiction that χ ( D ′ ) &gt; 8 k . By Theorem 1.2, there exists a directed cycle C ′ = ( x 1 , x 2 , . . . , x l , x 1 ) of length at least 8 k . For each vertex x j that corresponds to a S i in D , the arc x j -1 x j corresponds in D to an arc whose head is a vertex p i of S i and the arc x j x j +1 corresponds to an arc whose tail is a vertex l i of S i . Let P j be the dipath from p i to l i in ⋃ C . Note that this path intersects the elements of S i only along a subdipath. Let C be the cycle obtained from C ′ where we replace all contracted vertices x j by the path P j . First note that C has length at least 8 k . Moreover, a cycle of C can intersect C only along one P j , because they all correspond to different strong components of ⋃ C . Thus C intersects each cycle of C on a subdipath. Moreover this subdipath has length smaller than k for otherwise D would contain a subdivision of B ( k, 1; k ). So C is a directed cycle of length at least
+
+8 k which intersects every cycle of C along a subdipath of length less than k . This contradicts the maximality of C . /square
+
+Using Lemma 2.1 with Claim 2.3 and Lemma 2.2, we get that χ ( D ) ≤ 8 k · β k . This proves Theorem 1.7 for γ k = 8 k · β k .
+
+## References
+
+- [1] L. Addario-Berry, F. Havet, C. L. Sales, B. A. Reed, and S. Thomass´ e. Oriented trees in digraphs. Discrete Mathematics , 313 (8): 967-974, 2013.
+- [2] J. A. Bondy, Disconnected orientations and a conjecture of Las Vergnas, J. London Math. Soc. (2) , 14 (2): 277-282, (1976).
+- [3] S. A. Burr. Subtrees of directed graphs and hypergraphs. In Proceedings of the 11th Southeastern Conference on Combinatorics, Graph theory and Computing , pages 227-239, Boca Raton - FL, 1980. Florida Atlantic University.
+- [4] S. A. Burr, Antidirected subtrees of directed graphs. Canad. Math. Bull. 25 : 1982 119-120, 1982
+- [5] N. Cohen, F. Havet, W. Lochet, and N. Nisse. Subdivisions of oriented cycles in digraphs with large chromatic number. arXiv:1605.07762
+- [6] P. Erd˝ os. Graph theory and probability. Canad. J. Math. , 11:34-38, 1959.
+- [7] P. Erd˝ os and A. Hajnal. On chromatic number of graphs and set-systems. Acta Mathematica Academiae Scientiarum Hungarica , 17(1-2):61-99, 1966.
+- [8] T. Gallai. On directed paths and circuits. In Theory of Graphs (Proc. Colloq. Titany, 1966) , pages 115-118. Academic Press, New York, 1968.
+- [9] M. Hasse. Zur algebraischen bergr¨ und der graphentheorie I. Math. Nachr. , 28: 275-290, 1964.
+- [10] R. Kim, SJ. Kim, J. Ma; B. Park Cycles with two blocks in k -chromatic digraphs arXiv:1610.05839
+- [11] B. Roy. Nombre chromatique et plus longs chemins d'un graphe. Rev. Francaise Informat. Recherche Op´ erationnelle , 1 (5): 129-132, 1967.
+- [12] L. M. Vitaver. Determination of minimal coloring of vertices of a graph by means of boolean powers of the incidence matrix. Doklady Akademii Nauk SSSR , 147: 758-759, 1962.

tools/benchmark-harness/vendored/docling/md/nougat_030.md

@@ -0,0 +1,926 @@
+<!-- image -->
+
+Texas Fish &amp; Game Stamps
+
+Ira W. Cotton PaperQuest Press Naples, Florida
+
+<!-- image -->
+
+Fish &amp; Game Collector Handbook Number 8
+
+<!-- image -->
+
+## Contents
+
+| Introduction.....................................................................4 |
+| ---------------------------------------------------------------------------------- |
+| Texas Hunting Stamps ....................................................7         |
+| Archery Stamps........................................................7            |
+| Muzzleloader Hunting Stamps ..............................11                       |
+| Turkey Stamps .......................................................12            |
+| Upland Game Bird Stamps....................................14                      |
+| Waterfowl Stamps..................................................15               |
+| White-Winged Dove...............................................19                 |
+| Non-Game Stamps .................................................23                |
+| Texas Fishing Stamps....................................................26         |
+| Freshwater Trout ...................................................26             |
+| Freshwater Fishing.................................................28              |
+| Saltwater Fishing....................................................29            |
+| Texas Collector Booklets...............................................33          |
+| Texas Society Labels......................................................41       |
+| Wild Turkey Federation Labels.............................41                       |
+| Quail Unlimited Labels..........................................42                 |
+| Black Bass Unlimited Label...................................43                    |
+| Gulf Coast Conservation Association Labels........44                               |
+| About the Author ..........................................................51      |
+| About PaperQuest Press ...............................................51           |
+
+-
+
+-
+
+-
+
+-
+
+-
+
+<!-- image -->
+
+Texas issued its first license stamp in 1971 for a long-running series of dove hunting stamps. Archery hunting stamps followed in 1975 and waterfowl hunting stamps in 1981, later than most states. Three additional series were inaugurated in 1985 - trout fishing, saltwater fishing, and nongame stamps. Wild turkey hunting stamps were introduced in 1991, followed by muzzleloader hunting stamps in 1994. In 1996, the era of mandatory stamps for hunting and fishing ended, as the individual stamp series changed to voluntary collector stamps that were all printed in a single booklet pane that over time shrunk from eight stamps to seven stamps with a blank label, and finally to just six stamps. The muzzleloader collector stamp series ended in 2003. In 2004 the collector trout stamp was replaced by a collector freshwater fishing stamp and in 2005 the turkey and white-winged dove collector stamps were replaced by a collector upland game bird stamp. Finally, in 2015 the last collector booklet pane of six stamps was printed and all the stamp series ended.
+
+| Series                     | Duration  | # of Issues |
+| -------------------------- | --------- | ----------- |
+| White-winged dove hunting  | 1971-2004 | 34          |
+| Archery hunting            | 1975-2015 | 41          |
+| Waterfowl hunting          | 1981-2015 | 35          |
+| Freshwater trout fishing   | 1985-2003 | 19          |
+| Saltwater fishing          | 1985-2015 | 31          |
+| Nongame                    | 1985-2015 | 31          |
+| Wild turkey hunting        | 1991-2004 | 14          |
+| Muzzleloader hunting       | 1994-2003 | 10          |
+| Freshwater fishing         | 2004-2015 | 12          |
+| Upland game bird hunting   | 2005-2015 | 11          |
+| Total stamps               |           | 238         |
+| Collector booklets         | 1996-2015 | 20          |
+| Total state-issued items   |           | 258         |
+| Texas Black Bass Unlimited | 1987      | 1           |
+| TX Quail Unlimited         | 1990-2005 | 16          |
+| TX Nat'l Wild Turkey Fed.  | 1984-1990 | 7           |
+| Coastal Conservation Ass'n | 1983-2004 | 22          |
+| Total society items        |           | 46          |
+| Total collectable items    |           | 304         |
+
+---
+
+<!-- image -->
+
+1994-95
+
+1995-96
+
+1998
+
+1999
+
+Collector's
+
+Edition
+
+TEXAS
+
+1994
+
+MUZZLELOADER
+
+1998 Muzzleloader Hunting Stamp S3.00
+
+555- 003379-0
+
+HUNTING STAMP
+
+- 7
+
+Collector's Edition
+
+1995
+
+PARKS &amp;
+
+WILDLIFE
+
+Edition
+
+Collector
+
+08900 - 959
+
+Texas Parks and Wildlite Dept.
+
+Texas Parks and Wildlife Dept
+
+TEXAS PARKS &amp; WILDLIFE DEPAR
+
+MUZZLELOADER HUNTING STAMP
+
+$ 10.00 EXPIRES AUGUST 31, 1995
+
+$10.00 EXPIRES AUGUST 31, 1996
+
+Texas Parks and Wildlife Dept.
+
+187- 004197-6
+
+om bnm
+
+187- 009080-5
+
+555- 001861-9
+
+Don lamina
+
+Doh Blamina
+
+Dch Dlamina
+
+WILDLIFE DEPARTMENT
+
+TEXAS PARKS &amp;
+
+- 8
+
+2000
+
+Collector's Edition
+
+Collector's Edition
+
+02/01070
+
+2001
+
+Collector's Edition
+
+## Muzzleloader Hunting Stamps
+
+<!-- image -->
+
+The Texas Muzzleloader Hunting Stamp series began in 1994 but only the first two stamps were required to validate licenses. As described above, in 1996 all license stamp series were replaced by collector stamps that were neither required nor valid for hunting.
+
+## Muzzleloader License Stamps
+
+<!-- image -->
+
+<!-- image -->
+
+## Muzzleloader Collector Stamps
+
+1996
+
+Clemente Guzman 1999
+
+<!-- image -->
+
+Clemente Guzman
+
+<!-- image -->
+
+1997
+
+<!-- image -->
+
+Linda Wells 2000
+
+<!-- image -->
+
+Rob Fleming
+
+2001
+
+<!-- image -->
+
+Clemente Guzman
+
+<!-- image -->
+
+1996 Muzzleloader Hunting Stamp 53.00
+
+1999 Muzzekcader Hunting Stamp S3.00
+
+i -7
+
+555- 001749 -8
+
+555- 000877-5
+
+555- 002327-6
+
+555- 001402-3
+
+555- 07539
+
+555- 003382-0
+
+Texas Parks and Wildlife Dept
+
+Texas Parks and Wildlife Dept.
+
+Texas Parks and Wildlife Dept.
+
+Texas Parks and Wildlife Depr
+
+Texas Parks and Wildlife Dept.
+
+Texas Parks and Wildlife Dept.
+
+200/
+
+1996
+
+1999
+
+2002
+
+2004
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+2004
+
+2007
+
+1999
+
+2005
+
+1996
+
+Waterfowl Stamp
+
+2002
+
+-8
+
+555-02229
+
+Texas Parks:and Wildlife Dept.
+
+1997
+
+2000
+
+2003
+
+2000
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+Collector's Edition
+
+2000
+
+1997
+
+00'SS
+
+O0'S
+
+1998
+
+2U01
+
+Collector's Edition
+
+Collector's Edition
+
+1998
+
+## Waterfowl Collector Stamps
+
+003
+
+200
+
+555- 000953-4
+
+Texas Parks and Wildlife Dept.
+
+$3.00
+
+Migratory Game Bird Stamp $7.00
+
+555- 000551-7
+
+Texas Parks and Wildlife Dept
+
+2006
+
+As noted previously, Texas ended all mandatory license stamp series in 1995 and replaced them with collector stamps printed se-tenant in a single booklet pane. Throughout the series, the waterfowl collector stamps always occupied the top right position in the pane, so they all have straight edges at the top and right side of the stamp.
+
+## 1996
+
+Daniel Smith
+
+<!-- image -->
+
+## 1999
+
+Robert Hautman
+
+<!-- image -->
+
+## 2002
+
+<!-- image -->
+
+## 2005
+
+<!-- image -->
+
+## 1997
+
+<!-- image -->
+
+## 2000
+
+Sherrie Russell Meline
+
+<!-- image -->
+
+## 2003
+
+Sherrie Russell Meline
+
+<!-- image -->
+
+## 2006
+
+<!-- image -->
+
+David A. Maass
+
+<!-- image -->
+
+## 2001
+
+John Dearman
+
+<!-- image -->
+
+## 2004
+
+2007
+
+<!-- image -->
+
+Bruce Miller
+
+<!-- image -->
+
+## Catalog Listings
+
+| Archery                                                                        |                                                                |     | 2004 $3, Coaching [Clemente Guzman]                                                                        | 2.50                                                                                                       |
+| ------------------------------------------------------------------------------ | -------------------------------------------------------------- | --- | ---------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------- |
+| Black serial numbers.                                                          |                                                                |     | Series ended                                                                                               |                                                                                                            |
+| 1975 $3.25, Archer [Helen Sloan]                                               | 3.00                                                           | -   | Non-game                                                                                                   |                                                                                                            |
+| 1976 $3.25, Arrows [Annette M. Neal]                                           | 3.00                                                           | -   | Black serial numbers.                                                                                      |                                                                                                            |
+| 1977 $3.25, Native Archer [Sharlee H. Holcomb]                                 | 5.00                                                           | -   | 1985 $5.00, Cranes [Ken Carlson]                                                                           | 17.00                                                                                                      |
+| 1978 $3.25, Arrowhead [Annette M. Neal]                                        | 5.00                                                           | -   | 1986 $5.00, Prairie Chickens [John Cowan]                                                                  | 12.00                                                                                                      |
+| 1979 $3.25, Hunter/deer [Annette M. Neal]                                      | 5.00                                                           | -   | 1987 $5.00, Eagle [Bob Kuhn]                                                                               | 12.00                                                                                                      |
+| 1980 $3.25, Nocked arrow [Saldana]                                             | 25.00                                                          | -   | 1988 $5.00, Kestrel [Charles Beckendorff]                                                                  | 10.00                                                                                                      |
+| 1981 $3.25, Arrowhead [Josie Salas-Cox]                                        | 15.00                                                          | -   | 1989 $5.00, Ocelot [Al Agnew]                                                                              | 10.00                                                                                                      |
+| 1982 $3.25, Bow &arrow [Josie Salas-Cox]                                       | 4.00                                                           | -   | 1990 $5.00, Quail [Sherrie Russell Meline]                                                                 | 10.00                                                                                                      |
+| 1983 $6.00, Arrow parts [Josie Salas-Cox]                                      | 25.00                                                          | -   | 1991 $5.00, Hawk [Pamela Davis-King]                                                                       | 10.00                                                                                                      |
+| 1984 $6.00, Archer []                                                          | 25.00                                                          | -   | 1992 $5.00, Heron [Gary Moss]                                                                              | 10.00                                                                                                      |
+| 1985 $6.00, Archer [Josie Salas-Cox]                                           | 22.00                                                          | -   | 1993 $5.00, Red Egret [Dee Kelley]                                                                         | 8.00                                                                                                       |
+| 1986 $6.00, Arrow parts [Pat Stark]                                            | 22.50                                                          | -   | 1994 $5.00, Horn. Owl [Pamela Davis-King]                                                                  | 8.00                                                                                                       |
+| 1987 $6.00, Hunters []                                                         | 22.50                                                          | -   | 1995 $5.00, Road Runners [C. Beckendorff]                                                                  | 8.00                                                                                                       |
+| 1988 $6.00, Arrow parts [Pris Martin]                                          |                                                                |     |                                                                                                            |                                                                                                            |
+|                                                                                | 15.00                                                          | -   | Change to collector-only stamps                                                                            |                                                                                                            |
+| 1989 $6.00, Arrowhead [Pat Stark]                                              | 15.00                                                          | -   | 1996 $3.00, Cardinals [David Drinkard]                                                                     | 2.50                                                                                                       |
+| 1990 $6.00, Handling arrow [Rob Fleming]                                       | 12.00                                                          | -   | 1997 $3.00, Golden Eagle [Joseph Hautman]                                                                  | 2.50                                                                                                       |
+| 1991 $6.00, Hunters [Clemente Guzman]                                          | 12.00                                                          | -   | 1998 $3.00, Mockinbirds [John Dearman]                                                                     | 2.50                                                                                                       |
+| 1992 $6.00, Arrows [Clemente Guzman] 1993 $6.00, Hunting buffalo [Rob Fleming] | 12.00                                                          | -   | 1999 $3.00, White Ibis [James Hautman]                                                                     | 2.50                                                                                                       |
+| 1994 $6.00, Deer [Linda Wells]                                                 | 12.00                                                          | -   | 2000 $3.00, Scissortail [Ken Carlson]                                                                      | 2.50                                                                                                       |
+|                                                                                | 12.00                                                          | -   | 2001 $3.00, Shrike [Thomas Quinn]                                                                          | 2.50                                                                                                       |
+| 1995 $6.00, Arrow &bow [Linda Wells]                                           | 12.00                                                          | -   | 2002 $3.00, Avocet [Sherrie Russell Meline]                                                                | 2.50                                                                                                       |
+| Change to collector-only stamps, issued on calendar year basis                 | Change to collector-only stamps, issued on calendar year basis |     | 2003 $3.00, Green Jay [John Dearman] 2004 $3.00, Kingfisher [Joseph Hautman]                               | 2.50 2.50                                                                                                  |
+| 1996 $3.00, Arrows &antler [Rob Fleming]                                       | 2.50                                                           |     | 2005 $3.00, Curlew [D.J. Cleland-Hura]                                                                     | 2.50                                                                                                       |
+| 1997 $3.00, Arrowheads [Clemente Guzman]                                       | 2.50                                                           |     | 2006$3.00, Barn Owl [Sherrie R. Meline]                                                                    | 2.50                                                                                                       |
+| 1998 $3.00, Hunters [Kenneth Helgren]                                          | 2.50                                                           |     | 2007 $3.00, Red-tail Hawk [James Hautman]                                                                  | 2.50                                                                                                       |
+| 1999 $3.00, Indian [Clemente Guzman]                                           | 2.50                                                           |     | 2008 $3.00, Heron [Bruce Miller]                                                                           | 2.50                                                                                                       |
+| 2000 $3.00, Deer [Rob Fleming]                                                 | 2.50                                                           |     | 2009 $3.00, Harris Hawk [Thomas Quinn]                                                                     | 2.50                                                                                                       |
+| 2001 $3.00, Deer [Clemente Guzman]                                             | 2.50                                                           |     | 2010 $3.00, Cedar Waxwing [Peter Mathios]                                                                  | 2.50                                                                                                       |
+| 2002 $3.00, Young archer [Rob Fleming]                                         | 2.50                                                           |     | 2011 $3.00, Black Skimmers [Al Barnes]                                                                     | 2.50                                                                                                       |
+| 2003 $3.00, Chief [Clemente Guzman]                                            | 2.50                                                           |     | 2012 $3.00, Blackbird [Greg Wilson]                                                                        | 2.50                                                                                                       |
+| 2004 $3.00, Camo [Clemente Guzman]                                             | 2.50                                                           |     | 2013 $3.00, Goldfinches [Bruce Miller]                                                                     | 2.50                                                                                                       |
+| 2005 $7.00, Woman [Clemente Guzman]                                            | 2.50                                                           |     | 2014 $3.00, Owl [Thomas Quinn]                                                                             | 2.50                                                                                                       |
+| 2006 $7.00, Hat [Clemente Guzman]                                              | 2.50                                                           |     | 2015 $3.00, Wading birds [Thomas Quinn]                                                                    | 2.50                                                                                                       |
+| 2007 $7.00, T-shirt [Clemente Guzman]                                          | 2.50                                                           |     | Series ended                                                                                               |                                                                                                            |
+| 2008 $7.00, Cave [Clemente Guzman]                                             | 2.50                                                           |     | Turkey                                                                                                     |                                                                                                            |
+| 2009 $7.00, Woman [Clemente Guzman]                                            | 2.50                                                           |     | Black serial numbers.                                                                                      |                                                                                                            |
+| 2010 $7.00, Deer [Clemente Guzman]                                             | 2.50                                                           |     | Required for hunting; show expiration date                                                                 | on stamp.                                                                                                  |
+| 2011 $7.00, Hog [Clemente Guzman] 2012 $7.00, Hunters [Clemente Guzman]        | 2.50 2.50                                                      |     | 1991 $5, Turkey pair [John Dearman]                                                                        | 14.00 -                                                                                                    |
+| 2013 $7.00, Rattling for Deer [Guzman]                                         | 2.50                                                           |     | 1992 $5, Turkey [Ken Carlson]                                                                              | 16.00 -                                                                                                    |
+| 2014 $7.00, Turkey [Clemente Guzman]                                           | 2.50                                                           |     | 1993 $5, Turkey [Reagan Gennusa]                                                                           | 16.00 -                                                                                                    |
+| 2015 $7.00, Antelope [Clemente Guzman]                                         |                                                                |     | 1994 $5, Turkey strutting [David Drinkard]                                                                 | 11.00 -                                                                                                    |
+| Series ended                                                                   | 2.50                                                           |     | 1995 $5, Turkey Trio [Charles Beckendorff]11.00                                                            | -                                                                                                          |
+| Muzzleloader Hunting                                                           |                                                                |     | Change to collector-only stamps, calendar                                                                  | year basis                                                                                                 |
+| Black serial numbers.                                                          |                                                                |     | 1996 $3, Turkey pair [Ken Carlson]                                                                         | 2.50                                                                                                       |
+| Required for hunting; show expiration date on stamp.                           | Required for hunting; show expiration date on stamp.           |     | 1997 $3, Turkey &cactus [John Dearman] 1998 $3, Turkey pair [Robert Hautman]                               | 2.50 2.50                                                                                                  |
+| 1994 $10, Mountain Man [Rob Fleming]                                           | 25.00                                                          | -   | 1999 $3, Turkey [Ragan Gennusa]                                                                            | 2.50                                                                                                       |
+| 1995 $10, Flintlock [Rob Fleming]                                              | 25.00                                                          | -   | 2000 $3, Turkey trio [Eddie LeRoy]                                                                         | 2.50                                                                                                       |
+| Change to collector-only stamps, issued on calendar                            | Change to collector-only stamps, issued on calendar            |     | 2001 $3, Turkey pair [Herb Booth]                                                                          | 2.50                                                                                                       |
+| year basis                                                                     |                                                                |     | 2002 $3, Turkey [John Dearman]                                                                             | 2.50                                                                                                       |
+| 1996 $3, Hunter [Clemente Guzman]                                              | 2.50                                                           |     | 2003 $3, Turkey [Reggie McLeroy]                                                                           | 2.50                                                                                                       |
+| 1997 $3, Flintlock &Powder [Linda Wells]                                       | 2.50                                                           |     | 2004 $3, Turkey strutting [Eldridge Hardie]                                                                | 2.50                                                                                                       |
+| 1998 $3, Mountain Man [Rob Fleming]                                            | 2.50                                                           |     | Series ended                                                                                               |                                                                                                            |
+| 1999 $3, Hunter [Clemente Guzman] 2000 $3, Riding hunter [Rob Fleming]         | 2.50 2.50                                                      |     | UplandGame Bird Stamp                                                                                      |                                                                                                            |
+| 2001 $3, Flintlock [Clemente Guzman]                                           | 2.50                                                           |     | Successor to Turkey Stamp series. All are collector stamps with no hunting validity. Black serial numbers. | Successor to Turkey Stamp series. All are collector stamps with no hunting validity. Black serial numbers. |
+| 2002 $3, Pack train [Rob Fleming]                                              | 2.50                                                           |     |                                                                                                            |                                                                                                            |
+
+<!-- image -->
+
+## Artist Cross Reference
+
+Abbett, Robert, 43 Agnew, Al, 23, 30, 41 Barnes, Al, 25, 28, 29, 30, 31, 32, 33, 37, 44, 45 Bateman, Robert, 16 Beckendorff, Charles, 12, 23, 24 Booth, Herb, 13, 15, 17, 29, 31, 35, 37, 38, 42, 44, 45 Brasch, D., 19, 20 Carlson, Ken, 12, 13, 15, 16, 23, 24, 33, 35, 41, 43 Carter, Calvin, 14, 15, 29, 32 Cleland-Hura, D. J., 24, 37 Cowan, John, 15, 16, 23, 29, 30, 41, 42, 44 Crowe, Phillip, 17, 34, 43 Cruwys, Robert, 29 Davis-King, Pamela, 23, 24 Dearman, John, 12, 13, 17, 24, 28, 29, 30, 31, 34, 35, 36, 37, 38, 39, 40, 42, 44, 45 Drinkard, David, 12, 24, 29, 30, 31, 33, 34, 38, 42 Faulk, Jared, 27, 33 Fleming, Rob, 8, 9, 11, 12, 21, 22, 27, 28, 33, 34, 35, 36 Gennusa, Ragan, 12, 13, 19, 34 Gentling, Scott &amp; Stuart, 14, 17, 36, 37, 45 Guzman, Clemente, 8, 9, 10, 11, 12, 21, 22, 26, 27, 28, 33, 34, 35, 36, 37, 38, 39, 40 Hall, Dave, 32 Hardie, Eldridge, 13, 14, 36, 38, 41, 42, 43 Hautman, James, 14, 16, 17, 18, 24, 25, 34, 37, 38, 39, 40, 42 Hautman, Joseph, 14, 17, 24, 34, 35, 36, 45
+
+Hautman, Robert, 13, 14, 17, 18, 34, 38 Hayden, Larry, 15, 16
+
+Helgren, Kenneth, 9, 22, 27, 34
+
+Holcomb, Sharlee H., 7, 20
+
+Kuhn, Bob, 23
+
+LeRoy, Eddie, 13, 35
+
+Maass, David A., 15, 16, 17, 37, 41, 42
+
+Martin, Pris, 8
+
+Mathios, Peter, 18, 25
+
+McGovern, Randy, 32
+
+Mckissick, Randall, 44
+
+McLeroy, Reggie, 13, 36
+
+Meline, Sherrie Russell, 17, 23, 24, 25, 35,
+
+36, 37, 43, 45
+
+Meltzoff, Stanley, 44
+
+Miller, Bruce, 14, 17, 25, 38
+
+Morel, Chris, 26
+
+Morgan, Elishea, 21
+
+Moss, Gary, 14, 16, 23
+
+Neal, Annette M., 7, 20
+
+Pasqua, Lou, 43
+
+Peebles, Diane Rome, 31, 35, 45
+
+Piersal, Laura, 21
+
+Quinn, Thomas, 24, 25, 35, 38, 39, 40
+
+Ray, Don, 28, 30, 31, 32, 34, 36, 38, 39,
+
+40, 44, 45
+
+Reece, Maynard, 15
+
+Salas-Cox, Josie, 7, 8
+
+Saldana, 7
+
+Sloan, Helen, 7
+
+Smith, Daniel, 16, 17, 33
+
+Smith, Dee, 23
+
+Stark, Pat, 8, 21, 26
+
+Stidham, Mike, 30, 31, 34, 42, 44
+
+Storm, Scot, 18, 38, 39, 40
+
+Sussino, Mark, 28, 30, 31, 36, 38
+
+Wells, Linda, 8, 11, 21, 22, 27, 33, 34
+
+Wells, Ronnie, 31, 44
+
+Wilson, Greg, 25
+
+-
+
+-
+
+-
+
+-
+
+-
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+## Order Form for Collector Handbooks
+
+PaperQuest Press 3685 Pleasant Springs Drive Naples, FL 34119
+
+<iwcotton@centurylink.net>
+
+402-871-4015
+
+<!-- image -->
+
+Quantity
+
+Price
+
+Total
+
+No. 1 - California Pictorial Hunting &amp; Fishing Licenses (2007)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 2 - Michigan Fish &amp; Game Licenses &amp; Club Badges, 2 nd
+
+Ed. (2010)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 3 - National Wildlife Federation® Christmas Stamps (2009)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Hard Cover
+
+\_\_\_\_\_\_\_\_ X
+
+$45.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 4 - Voluntary Wildlife Conservation Stamps, Vol I - Gov't Issues (2010)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 5 - Pennsylvania Fishing License Badges &amp; Patches (2011)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 6 - Catalog of State Fish &amp; Game License Badges, Tokens &amp; Tags, 2
+
+nd
+
+Ed. (2015)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 7 - Nebraska Small Game, Fishing &amp; Trapping Licenses, 1901-2009 (2015)
+
+Perfect binding
+
+\_\_\_\_\_\_\_\_ X
+
+$65.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$65.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$25.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Hard Cover
+
+\_\_\_\_\_\_\_\_ X
+
+$80.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+No. 8 - Texas Fish &amp; Game Stamps (2018)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$35.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$37.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Black &amp; White edition (color cover)
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Hard Cover
+
+\_\_\_\_\_\_\_\_ X
+
+$45.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Eric Dolan &amp; Bob Dumaine, The Duck Stamp Story, Krause Publications (2000)
+
+Hard Cover
+
+\_\_\_\_\_\_\_\_ X
+
+$44.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Soft Cover
+
+\_\_\_\_\_\_\_\_ X
+
+$20.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Terence Hines, Old Home Week Seals (2012)
+
+Saddle-stitched binding
+
+\_\_\_\_\_\_\_\_ X
+
+$25.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Terence Hines, A History of Postal Service in Hanover, New Hampshire Since 1761 (2016)
+
+Perfect binding
+
+\_\_\_\_\_\_\_\_ X
+
+$50.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Coil binding (opens flat)
+
+\_\_\_\_\_\_\_\_ X
+
+$52.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Domestic shipping for first handbook (please email us for foreign shipping rates.)
+
+$
+
+5.00
+
+Shipping for each additional handbook
+
+\_\_\_\_\_\_\_\_ X
+
+$
+
+2.00
+
+=
+
+$\_\_\_\_\_\_\_\_
+
+Total remitted by check or money order
+
+$\_\_\_\_\_\_\_\_
+
+(Check/money order appreciated. Please visit <https://www.PaperQuestPress.com> to pay by credit card.)
+
+Please include name, address, email and telephone number with your order.
+
+Email us for a discount for 5 or more books at one time. Thank you for your order!

tools/benchmark-harness/vendored/docling/md/nougat_031.md

@@ -0,0 +1,46 @@
+## The Girl Friend Experience Services
+
+Intimate loving just like you would experience with a girlfriend.
+
+A smile will greet you as we meet, some friendly conversations & sensual expressions will lead us to sexual exploration of each other's bodies.
+
+The services below are all included in The Girlfriend Experience.
+
+Other services are considered, all requests are appreciated - This is your experience & I want to share my most desired sexual acts.
+
+- Flirtatious Talk
+- Companionship (holding hands)
+- Seduction and Striptease
+- Kissing
+- Caressing
+- Cuddling
+- Playful Body Worship
+- Mutual Sexual Adoration
+- Oral Exploration
+
+## The Porn Star Experience Services
+
+Receive all of the services included in 'The Girl Friend Experience' above plus these additional extra sexually explicit services below:
+
+- Spanking
+- Sex Talk,
+- Deep French Kissing
+- Natural Oral, BBJ, Gagging
+- CIM, gargle CIMWS
+- Sex Toys
+- Finger Banging
+- Role Play
+- Multiple acrobatic positions
+- Pegging
+- Fetish Play including CBT, Foot Gagging, Dominatrix, Kink & Cross Dressing
+- Deep throat (size dependent)
+- Face Fucking
+- Rimming & anal play on you (only tongue, finger & select toys on me)
+- Water-Sports (Golden Showers on you only)
+- Dirty Panties
+
+All other requests will be considered and please note that some services require specific preparation.
+
+Toys used by or on you will be purchased specifically by you for your use.
+
+\*\*\* Note: Be sure to request and confirm your desired extras when finalizing your booking. Last minute requests cannot be accommodated.

tools/benchmark-harness/vendored/docling/md/nougat_032.md

@@ -0,0 +1,25 @@
+## Re: Tasmania's Child and Youth Wellbeing Strategy
+
+We thank you for the opportunity to make a joint submission to Tasmania's Child and Youth Wellbeing Strategy Discussion Paper.
+
+We wish to address the following excerpt from page 22 of the Discussion Paper, from our perspectives as an obstetrician and a public health researcher working in the antenatal clinics that provide pregnancy care to women at the Royal Hobart Hospital (RHH): 'Scientific research tells us that the social and environmental conditions in which families are conceiving and raising children in the first 1,000 days have a direct impact on child development. Experiences in the first thousand days influence physical and neural development and provide the building blocks for physical and mental health and wellbeing throughout life.'
+
+We make this submission out of concern for the dire needs and lack of appropriate resourcing to best support pregnant women attending RHH antenatal care services.
+
+At the Royal Hobart Hospital in 2020, 656 women attending for antenatal care (approximately one third of all women in 2020) had a history of anxiety and depression. In addition, 50% of women going through the RHH, on average, start their pregnancies already with overweight or obesity. One in every 20 women started pregnancy with class 3 obesity (BMI > 40).
+
+Doctors and midwives working in the antenatal clinics are aware of the complex relationships between mental health and obesity. We are aware that children born to mothers suffering from poor mental health during pregnancy have an increased lifetime risk of both metabolic and psychological disorders. We are aware that obesity, excessive pregnancy weight gain and metabolic dysfunction in pregnancy are associated with an increased risk of pregnancy complications, as well as an increased lifetime risk metabolic and psychological disease for the child. But despite the best efforts of a committed team of antenatal clinicians, we often feel helpless to meaningfully intervene to improve outcomes.
+
+The majority of the morbidity that we are seeing in pregnant women is due to environmental factors: physical, social and economic. These environmental factors are not being addressed at a community level; rather we are expected to do what we can as clinicians at the individual level. We are not adequately resourced even to do this. Antenatal clinicians at the RHH have no access to a dietician, even for women with the most complex needs. We do have an excellent perinatal mental health service for women with acute and complex mental health needs, but we lack the resources or referral options to help women with who may be suffering with more chronic psychological issues.
+
+For many women, pregnancy means they are in contact with the health system where they might otherwise have minimal engagement. This represents a significant opportunity to improve the health and wellbeing of all mothers and their babies, that should be maximised. We are currently in the early stages of a research program which aims to provide RHH obstetric and midwifery staff with the knowledge and skills to help women maintain a healthy lifestyle during pregnancy, with a primary aim of preventing excessive gestational weight gain. We are hoping these skills will enable staff to make brief but effective interventions as part of their routine care for pregnant women. This seems like the very least we can do to support women and their families in this crucially important window of the first 1000 days of a child's life.
+
+How many more lives could be improved from the very beginning, during pregnancy, if there was adequate resourcing across all Tasmanian publicly funded antenatal care clinics for dietetic, psychological and healthy lifestyle support to be embedded within the clinics and to have viable referral options?
+
+The discussion paper outlines a commendable list of initiatives aimed to support child and youth wellbeing. Our hope is that our submission draws attention to the vital area of need that exists in the first 1000 days of many Tasmanian children's lives. We hope that we see maternal health and wellbeing support prioritised in future initiatives. Ultimately, we wish to see better building blocks enabled to optimise the physical and mental health and wellbeing throughout the lives of Tasmanian children.
+
+With thanks,
+
+Dr Kristine Barnden MBBS FRANZCOG DDU Obstetrician Royal Hobart Hospital
+
+Dr Michelle Kilpatrick BA Hons (Psych) PhD Research Fellow Menzies Institute for Medical Research

tools/benchmark-harness/vendored/docling/md/nougat_033.md

@@ -0,0 +1,121 @@
+## ORALITE 
+
+5600 E
+
+## Description
+
+The weatherproof, self-adhesive, retroreflective ORALITE  reflective films series 5600E FLEET MARKING GRADE boast high flexibility combined with excellent corrosion and solvent resistance. The retroreflective system of the ORALITE  reflective films series 5600E FLEET MARKING GRADE consists of catadioptric glass beads which are embedded in a transparent layer of plastic material (design A, formerly Type I).
+
+The ORALITE  reflective films series 5600 E FLEET MARKING GRADE comply with ECE Regulation No. 104 for material class E. The reflective material displays an approval (water mark) applied every 100mm. The approval mark shows the material class (E), the ECE regulation number (104) and the approval number (002246).
+
+## Front material
+
+Special cast PVC film
+
+## Release paper
+
+PE coat applied to silicone-coated cardboard on either side, 145 g/m².
+
+As the product and batch number are applied to the silicone-coated paper, all production parameters and raw materials can be completely traced back.
+
+## Adhesive
+
+Solvent polyacrylate, permanent, removable by heat
+
+## Area of use
+
+ORALITE  reflective films series 5600 FLEET ENGINEER GRADE were especially developed for high quality car wrappings to produce lettering, markings and decorations which may be applied within contour markings in accordance with ECE 104. They are suitable for use on cutting plotters and provide good adaptability including to corrugations and rivets.
+
+## Printing method
+
+Inkjet printing with solvent based inks, UV- or Latex inks; Screen printing
+
+## Recommended laminating films
+
+ORAGUARD  290F, ORAGUARD  293F
+
+The statements in this information sheet are based upon our knowledge and practical experience. This data is intended only as a source of information and is given without guarantee and does not constitute a warranty. Due to the wide variety of possible uses and applications customers should independently determine the suitability of this material for their specific purpose, prior to use.
+
+<!-- image -->
+
+## FLEET MARKING GRADE
+
+<!-- image -->
+
+5600 E
+
+## Technical Data
+
+Maximum values for the coefficient of retroreflection (according to ECE 104, material class E)
+
+|                       | Specific coefficient of retroreflection R' in cd·lx -1 ·m -2 | Specific coefficient of retroreflection R' in cd·lx -1 ·m -2 | Specific coefficient of retroreflection R' in cd·lx -1 ·m -2 | Specific coefficient of retroreflection R' in cd·lx -1 ·m -2 |
+| --------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
+| Observation angle (°) | 0,33                                                         | 0,33                                                         | 0,33                                                         | 0,33                                                         |
+| Lighting angle (°)    | 5                                                            | 30                                                           | 40                                                           | 60                                                           |
+| every colour          | 50                                                           | 21,66                                                        | 12,33                                                        | 1,66                                                         |
+
+## Colours
+
+ORALITE  reflective films series 5600 FLEET ENGINEER GRADE are available in 15 different colours
+
+5600E - 010 white
+
+5600E - 020 yellow
+
+5600E - 030 red
+
+5600E - 035 orange
+
+5600E - 040 violet
+
+5600E - 050 blue
+
+5600E - 053 light blue
+
+5600E - 054 turquoise
+
+5600E - 060 green
+
+5600E - 070 black (When being illuminated in darkness, it appears silver to silver-grey.)
+
+5600E - 080 brown
+
+5600E - 084 azure
+
+5600E - 091 gold
+
+5600E - 213 lemon
+
+5600E - 364 ruby
+
+The statements in this information sheet are based upon our knowledge and practical experience. This data is intended only as a source of information and is given without guarantee and does not constitute a warranty. Due to the wide variety of possible uses and applications customers should independently determine the suitability of this material for their specific purpose, prior to use.
+
+<!-- image -->
+
+## FLEET MARKING GRADE
+
+## ORALITE 
+
+5600 E
+
+## FLEET MARKING GRADE
+
+| Thickness\* (without protective paper and adhesive)                                                        | 90 to 140 micron                                                                |
+| ---------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- |
+| Temperature resistance\*\*\*                                                                               | adhered to aluminium, -50°C to +95°C                                            |
+| Adhesive power\* (FINAT-TM1 after 72h)                                                                     | adhered to stainless steel: 17.0 N/25mm adhered to acrylic coating: 17.5 N/25mm |
+| Tensile strength (DIN 53455)                                                                               | along: min 10 N/mm² across: min 10 N/mm²                                        |
+| Elongation at break (DIN 53455)                                                                            | along: min 100% across: min 100%                                                |
+| Shelf life\*\*                                                                                             | 2 years                                                                         |
+| Application temperature                                                                                    | > +15°C                                                                         |
+| Service life by specialist application under vertical outdoor exposure (standard central European climate) | 7 years                                                                         |
+
+## Note
+
+Surfaces to which the material will be applied must be thoroughly cleaned from dust, grease or any contamination which could affect the adhesion of the material. Freshly lacquered or painted surfaces should be completely cured. The compatibility of selected lacquers and paints should be tested by the user, prior to application of the material. The selfadhesive reflective material can only be used for dry application. Furthermore the application information published by ORAFOL is to be considered. The batch traceability according to ISO 9001 is possible on the basis of the roll number.
+
+The statements in this information sheet are based upon our knowledge and practical experience. This data is intended only as a source of information and is given without guarantee and does not constitute a warranty. Due to the wide variety of possible uses and applications customers should independently determine the suitability of this material for their specific purpose, prior to use.
+
+<!-- image -->
+
+E-mail: <verkauf@orafol.de> - Internet: <http://www.orafol.com>

tools/benchmark-harness/vendored/docling/md/nougat_034.md

@@ -0,0 +1,595 @@
+UNITED STATES SECURITIES AND EXCHANGE COMMISSION Washington, D.C. 20549
+
+## SCHEDULE 14A
+
+PROXY STATEMENT PURSUANT TO SECTION 14(a) OF THE SECURITIES EXCHANGE ACT OF 1934
+
+Filed by the Registrant
+
+Filed by a Party other than the Registrant
+
+Check the appropriate box:
+
+- [ ] ☐ Preliminary Proxy Statement Confidential, for Use of the Commission Only (as permitted by Rule 14a - 6(e)(2))
+
+- [x] ☒ Definitive Proxy Statement
+
+Definitive Additional Materials
+
+Soliciting Material Pursuant to §240.14a - 11(c) or §240.14a - 2
+
+## ARTELO BIOSCIENCES, INC
+
+(Name of Registrant as Specified In Its Charter)
+
+\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+(Name of Person(s) Filing Proxy Statement, if other than the Registrant)
+
+Payment of Filing Fee (Check the appropriate box):
+
+No fee required.
+
+Fee computed on table below per Exchange Act Rules 14a - 6(i)(4) and 0 - 11.
+
+- (1) Title of each class of securities to which transaction applies:
+
+- (2) Aggregate number of securities to which transaction applies:
+
+- (3) Per unit price or other underlying value of transaction computed pursuant to Exchange Act Rule 0 - 11 (Set forth the amount on which the filing fee is calculated and state how it was determined):
+
+- (4) Proposed maximum aggregate value of transaction:
+
+- (5) Total fee paid:
+
+Fee paid previously with preliminary materials.
+
+Check box if any part of the fee is offset as provided by Exchange Act Rule 0 - 11(a)(2) and identify the filing for which the offsetting fee was paid previously. Identify the previous filing by registration statement number, or the Form or Schedule and the date of its filing.
+
+- (1) Amount Previously Paid:
+
+- (2) Form, Schedule or Registration Statement No.:
+
+- (3) Filing Party:
+
+- (4) Date Filed:
+
+La Jolla, California May 7, 2021
+
+<!-- image -->
+
+## 888 Prospect Street, Suite 210 La Jolla, CA 92037
+
+## NOTICE OF 2021 ANNUAL MEETING OF STOCKHOLDERS
+
+## To the Stockholders of Artelo Biosciences, Inc
+
+Notice is hereby given that the 2021 Annual Meeting of Stockholders (the 'Annual Meeting') of Artelo Biosciences, Inc., a Nevada corporation, will be held on Friday, June 18, 2021 at 8:00 a.m., Pacific Time, via internet webcast, for the following purposes:
+
+1. To elect eight (8) directors, Gregory D. Gorgas, Connie Matsui, Steven Kelly, John W. Beck, R. Martin Emanuele, Ph.D., Douglas Blayney, M.D., Gregory R. Reyes, M.D., Ph.D., and Tamara A. Seymour, for a one-year term to expire at the 2022 Annual Meeting of Stockholders, or until their successors are duly elected and qualified or until their earlier resignation or removal;
+2. To ratify the appointment of MaloneBailey, LLP as our independent registered public accounting firm for the fiscal year ending August 31, 2021 and for the stub period between September 1, 2021 and December 31, 2021; and
+3. To transact such other business as may be properly brought before the Annual Meeting or any adjournments or postponements thereof.
+
+The Annual Meeting will be a completely virtual meeting of stockholders. To participate, vote or submit questions during the Annual Meeting via live webcast, please visit <https://www.virtualshareholdermeeting.com/ARTL2021>.
+
+You will not be able to attend the Annual Meeting in person.
+
+We have also elected to provide access to our proxy materials over the internet under the Securities and Exchange Commission's (the 'SEC') 'notice and access' rules. We believe these rules allow us to provide you with the information you need while reducing our delivery costs and the environmental impact of the Annual Meeting. Our Board of Directors has fixed the close of business on April 22, 2021 as the record date for the determination of stockholders entitled to notice of, and to vote at, the Annual Meeting and at any adjournment or postponement thereof. Our proxy materials were first sent or made available on May 7, 2021 to all stockholders as of the record date.
+
+Whether or not you expect to attend the Annual Meeting via live webcast, please vote at your earliest convenience. You may vote over the internet, by telephone or, if you request to receive printed proxy materials, by mailing a proxy or voting instruction card. You may also vote your shares during the Annual Meeting. Submitting your proxy in advance of the Annual Meeting will not prevent you from voting your shares during the Annual Meeting, as your proxy is revocable at your option as described in the proxy statement accompanying this notice. Please review the instructions regarding each of your voting options described in the proxy statement, as well as in the Notice of Internet Availability of Proxy Materials or proxy card you received by mail.
+
+Important Notice Regarding the Availability of Proxy Materials for the Annual Meeting: The proxy statement, the accompanying materials and our 2020 Annual Report and any amendments thereto are being mailed on or about May 7, 2021 to all stockholders entitled to vote at the annual meeting. A copy of our proxy statement and our 2020 annual report and any amendments thereto are also posted on <https://www.proxyvote.com> and are available from the SEC on its website at <https://www.sec.gov>.
+
+By Order of the Board of Directors,
+
+By: /s/ Gregory D. Gorgas Gregory D. Gorgas President and Chief Executive Officer
+
+## ARTELO BIOSCIENCES, INC
+
+## Table of Contents
+
+|                                                                            | Page |
+| -------------------------------------------------------------------------- | ---- |
+| General Information                                                        | 1    |
+| Security Ownership of Certain Beneficial Owners and Management             | 6    |
+| Corporate Governance                                                       | 7    |
+| Executive Officers                                                         | 12   |
+| Executive Compensation                                                     | 13   |
+| Proposal 1 - Election of Directors                                         | 15   |
+| Proposal 2 - Ratification Of Independent Registered Public Accounting Firm | 18   |
+| Report of the Audit Committee                                              | 19   |
+| Certain Relationships and Related Transactions                             | 20   |
+| Equity Compensation Plan Information                                       | 22   |
+| Other Matters                                                              | 23   |
+
+## General Information
+
+The Board of Directors (the 'Board') of Artelo Biosciences, Inc., a Nevada corporation ('Artelo,' 'Artelo Biosciences,' 'the company,' 'we,' 'us' or 'our'), has made these proxy materials available to you on the internet or, upon your request, has delivered these proxy materials to you in connection with the solicitation of proxies for use at the 2021 Annual Meeting of Stockholders (the 'Annual Meeting'). The Annual Meeting will be held live via internet webcast on Friday, June 18, 2021 at 8:00 a.m., Pacific Time, or at any adjournment or postponement thereof, for the purposes stated herein. These proxy materials were first sent or given on May 7, 2021 to all stockholders as of the record date.
+
+## Internet Availability of Proxy Materials
+
+Under rules adopted by the Securities and Exchange Commission (the 'SEC'), we may furnish proxy materials, including this proxy statement and our Annual Report on Form 10-K for the year ended August 31, 2020 filed with the SEC on November 4, 2020 (the '2020 Annual Report'), to our stockholders by providing access to such documents on the internet instead of mailing printed copies. Most of you will not receive printed copies of the proxy materials unless you request them. Instead, the Notice of Internet Availability of Proxy Materials (the 'Notice'), which was mailed to most of you, will instruct you as to how you may access and review all of the proxy materials on the internet. The Notice also instructs you as to how you may submit your proxy on the internet. If you would like to receive printed copies of our proxy materials by mail, please follow the instructions in the Notice for requesting such materials. If you request printed copies of the proxy materials by mail, the materials you receive will include the proxy card or voting instruction form for the Annual Meeting. The proxy materials are available to view and download at <https://www.proxyvote.com>. We also encourage you to review our 2020 Annual Report available on our website at <https://ir.artelobio.com/>.
+
+## Virtual Annual Meeting
+
+We are embracing technology to provide expanded access, improved communication, reduced environmental impact and cost savings for our stockholders and the Company. Hosting a virtual meeting enables increased stockholder attendance and participation since stockholders can participate and ask questions from any location around the world, and provides us an opportunity to give thoughtful responses. In addition, we intend that the virtual meeting format provide stockholders a similar level of transparency to the traditional in-person meeting format, and we take steps to ensure such an experience. Our stockholders will be afforded the same opportunities to participate at the virtual Annual Meeting as they would at an in-person annual meeting of stockholders.
+
+<!-- image -->
+
+## 888 Prospect Street, Suite 210 La Jolla, CA 92037
+
+## 2021 PROXY STATEMENT
+
+## Participating in the Annual Meeting
+
+We will host the Annual Meeting live via internet webcast. You will not be able to attend the Annual Meeting in person. A summary of the information you need in order to attend the Annual Meeting online is provided below:
+
+- Any stockholder may listen to the Annual Meeting and participate live via the internet at <https://www.virtualshareholdermeeting.com/ARTL2021>. The live internet webcast will begin on Friday, June 18, 2021 at 8:00 a.m., Pacific Time.
+- Stockholders may vote and submit questions during the Annual Meeting live via the internet.
+- To enter the meeting, please have your 16-digit control number, which is available on the Notice or, if you received a printed copy of the proxy materials, your proxy card. If you do not have your 16-digit control number, you will be able to listen to the meeting only. You will not be able to vote or submit questions during the meeting.
+- We will have technicians ready to assist you with any technical difficulties you may have accessing the virtual meeting or submitting questions. If you encounter any difficulties accessing the virtual meeting during the check-in or meeting time, please call the technical support number that will be posted on the Annual Meeting log-in page.
+- Instructions regarding how to connect and participate live via the internet, including how to demonstrate proof of stock ownership, are posted at <https://www.virtualshareholdermeeting.com/ARTL2021>.
+
+## Voting Rights and Outstanding Shares
+
+Only stockholders that owned our common stock at the close of business on April 22, 2020, the record date for the Annual Meeting, are entitled to notice of, and to vote at, the Annual Meeting. On the record date, 23,149,112 shares of our common stock were outstanding. Each share of our common stock that you own entitles you to one vote on each matter to be voted upon at the Annual Meeting. We will have a quorum to conduct the business of the Annual Meeting if the holders of a majority of the outstanding shares of our common stock entitled to vote are present, in person via the internet webcast or by proxy. Abstentions and broker non-votes (i.e., shares of common stock held by a broker, bank or other agent that are represented at the meeting, but which the broker, bank or other agent is not empowered to vote on a particular proposal) will be counted for purposes of determining whether a quorum is present at the Annual Meeting.
+
+## Proposals for the Annual Meeting
+
+There are two (2) proposals scheduled to be voted on at the Annual Meeting:
+
+- Elect eight (8) directors, Gregory D. Gorgas, Connie Matsui, Steven Kelly, John W. Beck, R. Martin Emanuele, Ph.D., Douglas Blayney, M.D., Gregory R. Reyes, M.D., Ph.D., and Tamara A. Seymour, for a one-year term to expire at the 2022 Annual Meeting of Stockholders, or until their successors are duly elected and qualified or until their earlier resignation or removal; and
+- Ratify the appointment of MaloneBailey, LLP as our independent registered public accounting firm for the fiscal year ending August 31, 2021.
+
+## Voting Requirements to Approve Each Proposal
+
+Proposal 1 - Election of Directors . Directors are elected by a majority of the votes present in person via the internet webcast or represented by proxy and entitled to vote at a meeting at which a quorum is present. If a quorum is present, each nominee for director may be approved by the affirmative vote of a majority of the shares present in person or by proxy and entitled to vote at a meeting at which a quorum is present. You may vote 'FOR,' 'AGAINST,' or 'ABSTAIN' on each individual nominee in this proposal. Abstentions are deemed to be votes cast and have the same effect as a vote against the proposal. Broker non-votes are not deemed to be votes cast, are not included in the tabulation of voting results on this proposal, and will not affect the outcome of voting on this proposal.
+
+Proposal 2 - Ratification of the Appointment of MaloneBailey, LLP . The proposal to ratify the appointment of MaloneBailey, LLP as our independent registered public accounting firm for the fiscal year ending August 31, 2021, may be approved by the affirmative vote of a majority of the shares present in person or by proxy and entitled to vote at a meeting at which a quorum is present. Abstentions are deemed to be votes cast and have the same effect as votes 'AGAINST' the proposal. This proposal is considered a routine or 'discretionary' matter on which your broker, bank or other agent will be able to vote on your behalf even if it does not receive instructions from you; therefore, no broker non-votes are expected to exist in connection with this proposal.
+
+## Voting Shares Registered in Your Name
+
+If you are a stockholder of record, you may vote in one of four ways:
+
+- Vote via the internet. You may submit a proxy over the Internet at <https://www.proxyvote.com> 24 hours a day, seven days a week. You will need the 16-digit control number included on your Notice of Internet Availability or your proxy card (if you received a printed copy of the proxy materials);
+- Vote by telephone. You may submit a proxy using a touch-tone telephone by calling 1 -800 -690 -6903, 24 hours a day, seven days a week. You will need the 16-digit control number included on your Notice of Internet Availability or your proxy card (if you received a printed copy of the proxy materials);
+- Vote by Mail. If you received printed proxy materials, you may direct how your shares are voted at the Annual Meeting by completing, signing, and dating each proxy card received and returning it in the prepaid envelope. Sign your name exactly as it appears on the proxy card. Your completed, signed and dated proxy card must be received prior to the Annual Meeting; or
+- Vote during the Annual Meeting live via the internet by following the instructions posted at <https://www.virtualshareholdermeeting.com/ARTL2021>.
+
+Votes submitted via the internet or by telephone must be received by 11:59 p.m., Eastern Time, on June 17, 2021. Submitting your proxy via the internet, by telephone or by mail will not affect your right to vote during the Annual Meeting live via the internet. For additional information, please see 'Revocability of Proxies' below.
+
+## Voting Shares Registered in the Name of a Broker, Bank or Other Agent
+
+Most beneficial owners holding stock in 'street name' will receive instructions for voting their shares from their broker, bank or other agent. A number of brokers and banks participate in a program provided through Broadridge Financial Solutions, Inc. ('Broadridge') that allows stockholders to grant their proxy to vote shares by means of the telephone or internet. If your shares are held in an account with a broker or bank participating in the Broadridge program, you may vote by telephone by calling the number shown on the voting instruction form received from your broker or bank, or you may vote via the internet at Broadridge's website at <http://www.proxyvote.com> and use your control number and other information as requested. However, since you are not the stockholder of record, you may not vote your shares live via the internet by following the instructions posted at <https://www.virtualshareholdermeeting.com/ARTL2021> unless you obtain a valid proxy from your broker, bank or other nominee.
+
+## Revocability of Proxies
+
+If you are a stockholder of record, once you have submitted your proxy by mail, telephone or internet, you may revoke it at any time before it is voted at the Annual Meeting. You may revoke your proxy in any one of the following three ways:
+
+- You may submit another proxy marked with a later date (which automatically revokes your earlier proxy) by mail or telephone or via the internet by the applicable deadline as described above;
+- You may provide written notice that you wish to revoke your proxy to our Secretary at Artelo Biosciences, Inc., Attn: Secretary, 888 Prospect Street, Suite 210, La Jolla, California 92037 by no later than the close of business on Thursday, June 17, 2021; or
+- You may attend the Annual Meeting and submit your vote live via the internet. Attendance at the Annual Meeting live via the internet will not, by itself, cause your previously granted proxy to be revoked.
+
+If you are a beneficial owner holding shares in 'street name,' you may change your vote by submitting new voting instructions to your broker, bank or other agent in accordance with the instructions they provided (see 'V oting Shares Registered in the Name of a Broker, Bank or Other Agent' above).
+
+## Tabulation of Votes
+
+A representative from Broadridge will act as inspector of elections and tabulate the votes at the Annual Meeting. All shares represented by valid proxies received before the Annual Meeting will be voted. If you submit a valid proxy containing instructions regarding how to vote with respect to any matter to be acted upon, your shares will be voted in accordance with those instructions. If you submit a valid proxy with no instructions, then your shares will be voted by the individuals we have designated as proxies for the Annual Meeting in the following manner:
+
+- ' FOR ' the election of each of the eight (8) nominees for director named in this proxy statement; and
+- ' FOR ' the ratification of the appointment of MaloneBailey, LLP as our independent registered public accounting firm for our fiscal year ending August 31, 2021.
+
+In addition, the individuals that we have designated as proxies for the Annual Meeting will have discretionary authority to vote your shares with respect to any other business that may properly come before the Annual Meeting or any adjournment or postponement thereof.
+
+## Voting Results
+
+Preliminary voting results are expected to be announced at the Annual Meeting. V oting results will be tallied by the inspector of elections and reported in a Current Report on Form 8-K (the 'Form 8-K') that we will file with the SEC within four business days of the Annual Meeting. If the voting results reported in the Form 8-K are preliminary, we will subsequently file an amendment to the Form 8-K to report the final voting results within four business days of the date on which the final voting results are known.
+
+## Proxy Solicitation
+
+This proxy solicitation is made by the Board and we will bear the entire cost of soliciting proxies for the Annual Meeting, including costs associated with the preparation, assembly, printing and mailing of the proxy materials and any additional information furnished to stockholders. We will provide copies of the proxy materials to brokers, banks and other agents holding shares of our common stock in their name for the benefit of others for forwarding to the beneficial owners. We may reimburse such brokers, banks or other agents for their costs associated with forwarding the proxy materials to the beneficial owners. We have retained Broadridge to assist with the solicitation of proxies and provide related advice and informational support, for a services fee, plus customary disbursements, which are not expected to exceed $20,000 in total. Proxy solicitations will be made primarily through the mail, but may be supplemented by telephone, email, or other electronic means by Broadridge, or by our directors, executive officers, employees or other agents without additional compensation to such individuals.
+
+## Householding of Proxy Materials
+
+The SEC has adopted rules that permit brokers, banks and other agents to satisfy the delivery requirements for proxy statements and annual reports, or notice of their availability, by delivering a single proxy statement and annual report to two or more stockholders sharing the same address. This process, which is commonly referred to as 'householding,' can provide added convenience for our stockholders and additional cost savings for us.
+
+This year, a number of brokers, banks and other agents with account holders who are our stockholders will be 'householding' our proxy materials. A single proxy statement and annual report will be delivered to multiple stockholders sharing an address unless contrary instructions have been received from the affected stockholders. Once you have received notice from your broker, bank or other agent that they will be householding communications to your address, householding will continue until you are notified otherwise or until you revoke your consent to the householding of communications. If at any time you no longer wish to participate in householding and would prefer to receive a separate proxy statement and annual report or notice of availability, please either (i) notify your broker, bank or other agent, (ii) direct your written request to Artelo Biosciences, Inc., Attn: Investor Relations, 888 Prospect Street, Suite 210, La Jolla, California 92037, or (iii) contact us by phone at (760) 943-1689. Upon receipt of any such written or oral request, we undertake to promptly deliver free of charge a separate copy of the proxy statement, annual report and/or notice of availability, as applicable, to a stockholder at a shared address to which a single copy of these documents was delivered. Stockholders who currently receive multiple copies of the proxy statement and annual report, or notices of availability, at their address and would like to request householding of their communications should notify their broker, bank or other agent.
+
+## Stockholder Proposals for the 2022 Annual Meeting of Stockholders
+
+Stockholders may present proper proposals for inclusion in our proxy statement and for consideration at our next annual meeting of stockholders by submitting their proposals in writing to our Secretary in a timely manner, as described below.
+
+For a stockholder proposal, other than a proposal for the nomination of directors, to be considered for inclusion in our proxy statement for the 2022 Annual Meeting of Stockholders, our Secretary must receive the written proposal at our principal executive offices no later than January 8, 2021; provided, however, that in the event we hold the 2022 Annual Meeting of Stockholders more than 30 days before or after the one-year anniversary of the Annual Meeting, we will disclose the new deadline by which stockholder proposals must be received in our earliest possible Quarterly Report on Form 10-Q or, if impracticable, by any means reasonably calculated to inform stockholders. In addition to being timely submitted, stockholder proposals must otherwise comply with the requirements of Rule 14a-8 of the Securities Exchange Act of 1934, as amended (the 'Exchange Act'). Proposals should be addressed to: Artelo Biosciences, Inc., Attn: Secretary, 888 Prospect Street, Suite 210, La Jolla, California 92037.
+
+While the Board will consider stockholder proposals, including proposals for the nomination of directors, we reserve the right to omit from our proxy statement for the 2022 Annual Meeting of Stockholders proposals that we are not required to include under the Exchange Act, including Rule 14a-8 thereunder. Stockholders are advised to review our bylaws for additional information regarding other matters, and procedures related to such matters, that may be considered at an annual meeting of stockholders.
+
+## SECURITY OWNERSHIP OF CERTAIN BENEFICIAL OWNERS AND MANAGEMENT
+
+The following table presents certain information with respect to the beneficial ownership of our common stock as of April 22, 2021 by (i) each person we know to be the beneficial owner of 5% or more of our outstanding shares of common stock, (ii) each named executive officer and director and (iii) all executive officers and directors as a group. Information with respect to beneficial ownership is based on a review of our stock transfer records and on the Schedules 13D and 13G that have been filed with the SEC by or on behalf of the stockholders listed below. Except as indicated by the footnotes below, we believe, based on the information available to us, that the persons named in the table below have sole voting and investment power with respect to all shares of common stock that they beneficially own, subject to applicable community property laws.
+
+Percentage of beneficial ownership is calculated based on 23,149,112 shares of common stock outstanding on April 22, 2021. We have determined beneficial ownership in accordance with SEC rules. In computing the number of shares of common stock beneficially owned by a person and the percentage ownership of that person, we deemed as outstanding shares of common stock subject to stock options held by that person that are currently exercisable or exercisable within 60 days of April 22, 2021. We did not deem these shares outstanding, however, for the purpose of computing the percentage ownership of any other person. Except otherwise indicated in the footnotes below, the address of each beneficial owner listed in the table is Artelo Biosciences, Inc., 888 Prospect Street, Suite 210, La Jolla, California 92037.
+
+|                                                         | Number of   | Number of Shares Subject to Options Exercisable within 60 | Total Shares Beneficially Owned | Total Shares Beneficially Owned |
+| ------------------------------------------------------- | ----------- | --------------------------------------------------------- | ------------------------------- | ------------------------------- |
+| Name and Address of Beneficial Owner                    | Shares Held | Days                                                      | Number                          | %                               |
+| Directors and Named Executive Officers                  |             |                                                           |                                 |                                 |
+| Gregory D. Gorgas (1)                                   | 270,676     | 52,933                                                    | 323,609                         | 1.40%                           |
+| Connie Matsui (2)                                       | 56,667      | 26,500                                                    | 83,167                          | \*                              |
+| Steven Kelly (3)                                        | 12,500      | 22,250                                                    | 34,750                          | \*                              |
+| Douglas Blayney, M.D. (4)                               | 12,500      | 18,000                                                    | 30,500                          | \*                              |
+| R. Martin Emanuele, Ph.D. (5)                           | 12,500      | 27,060                                                    | 39,560                          | \*                              |
+| John W. Beck (6)                                        | -           | 15,000                                                    | 15,000                          | \*                              |
+| Gregory R. Reyes, M.D., Ph.D. (7)                       | -           | 15,000                                                    | 15,000                          | \*                              |
+| Tamara A. Seymour (8)                                   | -           | -                                                         | -                               |                                 |
+| All Current Directors and Executive Officers as a Group | 364,843     | 176,743                                                   | 541,586                         | 2.34%                           |
+| 5% Stockholders                                         |             |                                                           |                                 |                                 |
+| Parian Global Management LP                             | 1,199,738   | -                                                         | 1,199,738                       | 5.18%                           |
+
+\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+- Less than one percent.
+
+(1) Consists of 270,676 shares held by Gregory Gorgas, options to purchase 32,823 shares of common stock that are exercisable within 60 days of April 22, 2021 and warrants to purchase 20,110 shares of common stock that are exercisable within 60 days of April 22, 2021.
+
+(2) Consists of 56,667 shares held by Connie Matsui and options to purchase 26,500 shares of common stock that are exercisable within 60 days of April 22, 2021.
+
+(3) Consists of 12,500 shares held by Steven Kelly and options to purchase 22,250 shares of common stock that are exercisable within 60 days of April 22, 2021.
+
+(4) Consists of 12,500 shares held by Douglas Blayney, M.D. and options to purchase 18,000 shares of common stock that are exercisable within 60 days of April 22, 2021.
+
+(5) Consists of 12,500 shares held by R. Marty Emanuele, Ph.D. and options to purchase 27,060 shares of common stock that are exercisable within 60 days of April 22, 2021.
+
+(6) Consists of options to purchase 15,000 shares of common stock that are exercisable within 60 days of April 22, 2021 held by John W. Beck.
+
+(7) Consists of options to purchase 15,000 shares of common stock that are exercisable within 60 days of April 22, 2021 held by Gregory R. Reyes, M.D., Ph.D.
+
+(8) Consists of options to purchase 0 shares of common stock that are exercisable within 60 days of April 22, 2021 held by Tamara A. Seymour.
+
+## Director Independence
+
+Our Board has undertaken a review of the independence of the directors and considered whether any director has a material relationship with us that could compromise his or her ability to exercise independent judgment in carrying out his or her responsibilities. As a result of this review, our Board has determined that Ms. Matsui, Dr. Blayney, Mr. Kelly, Dr. Emanuele, Mr. Beck, Dr. Reyes, and Ms. Seymour representing seven of our eight directors, are 'independent directors' as defined under the rules of the Nasdaq Capital Market (the 'Nasdaq'). Mr. Gorgas is not considered independent due to his service as an executive officer of the Company.
+
+In determining whether directors were independent under Nasdaq rules, the Board considered the matters discussed in the section entitled 'Certain Relationships and Related Transactions' below. There are no family relationships between any of our directors and executive officers. There are currently no legal proceedings, and during the past ten years there have been no legal proceedings, that are material to the evaluation or the ability or integrity of any of our directors or director nominees.
+
+## Leadership Structure of the Board of Directors
+
+The Board has the following general leadership structure:
+
+- The positions of Chief Executive Officer and Chair of the Board are separate but may be held by the same individual. The positions of Chief Executive Officer and Chair of the Board are currently held by Mr. Gorgas and Ms. Matsui, respectively.
+- The Chair of the Board presides at meetings of the Board and, so long as the Chair of the Board is an independent director, also presides at executive sessions of the non-management and/or independent directors.
+- If the Chair of the Board is not an independent director, the independent directors will appoint one independent director to serve as 'lead independent director.' In that scenario, the lead independent director will preside at executive sessions of the non-management and/or independent directors, preside at meetings of the Board in the absence of the Chair of the Board, review agendas for meetings of the Board with the Chief Executive Officer and Chair of the Board, and assume such other functions as the Board may deem appropriate.
+- The Chief Executive Officer and the Chair of the Board jointly establish the agenda for each meeting of the Board, though any director may request the inclusion of items on the agenda.
+
+Ms. Matsui currently serves as Chair of the Board and is an independent director, thus, the Board does not currently have a lead independent director. The Board has determined that this leadership structure, specifically the separation of the Chief Executive Officer and Chair of the Board positions, is appropriate for our company because, in the judgment of the Board, an independent Chair of the Board (or lead independent director, if the Chair of the Board is not an independent director) is best positioned to express to management the views of the Board (and, particularly, the independent directors) and to provide constructive feedback to the Chief Executive Officer regarding management's performance.
+
+## CORPORATE GOVERNANCE
+
+## Board Committees
+
+The Board has an Audit Committee, a Compensation Committee, and a Corporate Governance and Nominating Committee. These committees operate under written charters, which are available on our website at <http://www.artelobio.com> under 'Investors-Governance.' The Board has determined that all members of these committees satisfy the applicable independence requirements under Nasdaq rules. The current members of the committees are identified in the table below.
+
+| Director                      | Audit Committee | Compensation Committee | Corporate Governance and Nominating Committee |
+| ----------------------------- | --------------- | ---------------------- | --------------------------------------------- |
+| Gregory D. Gorgas             | -               | -                      | -                                             |
+| Connie Matsui                 | -               | -                      | Member                                        |
+| Steven Kelly                  | Member          | Chair                  | -                                             |
+| John W. Beck                  | Chair           | Member                 | -                                             |
+| R. M. Emanuele, Ph.D.         | -               | -                      | Member                                        |
+| Douglas Blayney, M.D.         | -               | -                      | Chair                                         |
+| Gregory R. Reyes, M.D., Ph.D. | -               | Member                 | -                                             |
+| Tamara A. Seymour             | Member          | -                      | -                                             |
+
+The Audit Committee is responsible primarily for overseeing (i) the services provided by our independent registered public accounting firm, (ii) the integrity of our financial statements and internal control over financial reporting, and (iii) risk management, internal audit and our compliance with legal and regulatory requirements. Mr. Beck, the Chair of the Audit Committee, has been determined by the Board to be an audit committee financial expert. For fiscal year ending August 31, 2020, the Audit Committee held six (6) meetings.
+
+The Compensation Committee is responsible primarily for evaluating and approving all compensation plans, policies and programs as they affect our executive officers, administering our equity compensation plans, and reviewing the compensation of the Board. For fiscal year ending August 31, 2020, the Compensation Committee held three (3) meetings.
+
+The Corporate Governance and Nominating Committee is responsible primarily for identifying, evaluating and recommending to the Board nominees for election or appointment to the Board and committees of the Board, evaluating the performance and independence of the Board and of individual directors, and evaluating the adequacy of our corporate governance practices. For fiscal year ending August 31, 2020, the Corporate Governance and Nominating Committee held three (3) meetings.
+
+## Meetings of the Board of Directors and Board Committees
+
+The Board has regularly scheduled meetings at least quarterly. Our independent directors hold executive sessions without management present at least once per quarter. For fiscal year ending August 31, 2020, the Board held five (5) meetings. Each director attended at least 75% of the aggregate number of meetings held by the Board and all applicable committees of the Board during the period that he or she served. It is our policy to encourage members of the Board to attend our annual meetings of stockholders.
+
+## Role of the Board of Directors in Risk Oversight
+
+Management is responsible for day-to-day risk management at our company. The role of the Board is to provide oversight of the processes designed to identify, assess and monitor key risks and risk mitigation activities. The Board fulfills its risk oversight responsibilities through (i) the receipt of reports directly from management and (ii) the receipt of reports from each committee chair regarding such committee's oversight of specific risk topics.
+
+## Delegation of Risk Oversight
+
+The Board has delegated oversight of specific risk areas to its committees. For example, the Audit Committee is tasked with overseeing risk management at our company with respect to financial matters and the adequacy of our internal control over financial reporting. Pursuant to its charter, the Audit Committee is required, among other things, to discuss with management our policies with respect to risk assessment and risk management, including guidelines and procedures to govern the process by which risk assessment and risk management are handled, and to review our major risk exposures and the steps management has taken to monitor, control and report such exposures. The Audit Committee typically has these discussions with management at least once per quarter, and the Chair of the Audit Committee subsequently reports on these discussions to the full Board. Similarly, the Compensation Committee assists the Board in overseeing risks arising from our compensation policies and practices, and the Corporate Governance and Nominating Committee assists the Board in overseeing risks associated with corporate governance, director and executive officer succession planning, board membership and board structure. The Board then discusses significant risk management issues with the Chief Executive Officer and recommends appropriate action.
+
+## Communications with the Board of Directors
+
+The Company's contact information is available on our website at <https://artelobio.com/> under the 'Investors' tab. Interested parties may send communications to the non-management members of the Board. Communications to the Board must be in writing and sent care of the Secretary by mail to our offices 888 Prospect Street, Suite 210, La Jolla California 92037. This centralized process will assist the Board in reviewing and responding to stockholder and interested party communications in an appropriate manner. The name of any specific intended recipient should be noted in the communication. All communications must be accompanied by the following information:
+
+- if the person submitting the communication is a security holder, a statement of the type and amount of securities of our company the person holds;
+- if the person submitting the communication is not a security holder and is submitting the communication to the non-management directors as an interested party, the nature of the person's interest in our company;
+- any special interest, meaning an interest not in the capacity of a stockholder of our company, of the person in the subject matter of the communication; and
+- the address, telephone number and e-mail address, if any, of the person submitting the communication.
+
+Communications should be addressed to the attention of the Secretary and should not exceed 500 words in length, excluding the information required to accompany the communication as described above. The Board has instructed the Secretary to forward such correspondence to the Board.
+
+## Consideration of Director Nominees
+
+## Director Qualifications
+
+The Corporate Governance and Nominating Committee evaluates all incumbent, replacement or additional nominees for election as directors, taking into account (i) all factors the committee considers appropriate, which may include career specialization, relevant technical skills or financial acumen, diversity of viewpoint and industry knowledge, and (ii) the following minimum qualifications:
+
+- Each director nominee must have displayed the highest personal and professional ethics, integrity and values, and sound business judgment;
+- Each director must be highly accomplished in his or her respective field, with superior credentials and recognition and broad experience at the administrative and/or policy making level in business, government, education, technology or public interest;
+- Each director must have relevant expertise and experience, and be able to offer advice and guidance to the Chief Executive Officer based on that expertise and experience;
+- Each director must be able to represent all of our stockholders and be committed to enhancing long-term stockholder value; and
+- Each director must have sufficient time available to devote to activities of the Board and to enhance his or her knowledge of our business.
+
+In determining whether to recommend a director for re-election to the Board, the Corporate Governance and Nominating Committee also considers the director's past attendance at meetings and participation in and contributions to the activities of the Board and any applicable committees of the Board.
+
+The Nominating and Governance Committee does not have a formal policy governing the consideration of diversity in identifying nominees for director.
+
+## Stockholder Recommendations and Nominees
+
+The Corporate Governance and Nominating Committee has not received director candidate recommendations from our stockholders and does not have a formal policy regarding consideration of such recommendations. The Board believes this is appropriate, as any recommendations received from stockholders will be evaluated in the same manner as potential nominees suggested by members of the Board or management. Stockholders wishing to recommend a candidate for director should write to our Secretary at Artelo Biosciences, Inc., Attn: Secretary, 888 Prospect Street, Suite 210, La Jolla, California 92037.
+
+To be considered, the recommendation of a director candidate must include the following written information: (i) the stockholder's name and contact information; (ii) a statement that the writer is a stockholder and is proposing a candidate for consideration by the Corporate Governance and Nominating Committee; (iii) the name of, and contact information for, the candidate and a statement that the candidate is willing to be considered and serve as a director, if nominated and elected; (iv) a statement of the candidate's business, educational experience and qualifications; (v) information regarding each of the factors listed under 'Director Qualifications' above sufficient to enable the Corporate Governance and Nominating Committee to evaluate the candidate; (vi) a statement of the value that the candidate would add to the Board; (vii) a statement detailing any relationship between the candidate and any customer, supplier or competitor of our company; (viii) detailed information about any relationship or understanding between the proposing stockholder and the candidate; and (ix) a list of three character references, including complete contact information for such references. To give the Corporate Governance and Nominating Committee sufficient time to evaluate a recommended director candidate for the 2022 Annual Meeting of Stockholders, the recommendation should be received by our Secretary at our principal executive offices no later than January 7, 2022 which is the 120th calendar day before the first anniversary of the date our proxy statement was mailed to stockholders in connection with the Annual Meeting.
+
+## Identification and Evaluation of Nominees for Director
+
+The Corporate Governance and Nominating Committee uses a variety of methods for identifying and evaluating nominees for director. The Corporate Governance and Nominating Committee regularly assesses the appropriate size and composition of the Board, the needs of the Board and each committee of the Board, and the qualifications of candidates in light of these needs. Candidates may come to the attention of the Corporate Governance and Nominating Committee through stockholders, management, current members of the Board or search firms. The evaluation of these candidates may be based solely upon information provided to the Corporate Governance and Nominating Committee or may also include discussions with persons familiar with the candidate, an interview of the candidate or other actions the Corporate Governance and Nominating Committee deems appropriate, including the use of third parties to review candidates.
+
+## Code of Ethics
+
+We have adopted a written Code of Ethics applicable to the Board and our officers and employees, including our principal executive officer, principal financial officer and principal accounting officer, in accordance with the rules of the Nasdaq and the SEC. The Code of Ethics is available on our website at <http://www.artelobio.com> under 'Investors -Governance.'
+
+## Compensation Committee Interlocks and Insider Participation
+
+During fiscal year 2020, no executive officer of our company (i) served as a member of the compensation committee (or other board committee performing equivalent functions or, in the absence of any such committee, the entire board of directors) of another entity, one of whose executive officers served on our Compensation Committee, (ii) served as a director of another entity, one of whose executive officers served on our Compensation Committee, or (iii) served as a member of the compensation committee (or other board committee performing equivalent functions or, in the absence of any such committee, the entire board of directors) of another entity, one of whose executive officers served as a director of our company.
+
+## Director Compensation
+
+## Outside Director Compensation Policy
+
+In March 2021, the Company adopted the Outside Director Compensation Policy. Moving forward, all non-employee directors are entitled to the following cash compensation for their services:
+
+- $30,000 per year for service as a member of the board of directors;
+- $15,000 per year additionally for service as chairperson of the audit committee;
+- $7,600 per year additionally for service as an audit committee member;
+- $12,000 per year additionally for service as chairperson of the compensation committee;
+- $4,000 per year additionally for service as a compensation committee member;
+- $8,000 per year additionally for service as chairperson of the corporate governance and nominating committee; and
+- $4,000 per year additionally for service as a corporate governance and nominating committee member.
+
+The terms of our outside director compensation policy also allow for new non-employee directors to receive, upon becoming a non-employee director, an initial award of stock options to purchase 30,000 shares of our common stock at a per-share exercise price equal to the fair market value of a share of our common stock on the first trading date on or after the date on which such individual first becomes a non-employee director. The initial award shall vest in three (3) equal installments on each anniversary of the date the applicable non-employee director's service commenced, in each case subject to the non-employee director continuing to be a service provider through the applicable vesting date.
+
+Our outside director compensation policy, also provides for an annual award (the 'Annual Award') to continuing non-employee directors who have served as a non-employee director for at least six (6) months on the date of each annual meeting of stockholders of stock options to purchase 10,000 shares of our common stock at a per-share exercise price equal to the fair market value of a share of our common stock on the date of each annual meeting; provided, however, that the Board may make exceptions to this requirement of being an outside director for six (6) months to receive an Annual Award. The Annual Award shall vest on the earlier of the one-year anniversary of the date the annual award is granted, or the day prior to the date of the annual meeting next following the date the annual award is granted, in each case, subject to the non-employee director continuing to be a service provider through the applicable vesting date.
+
+We also reimburse our directors for expenses associated with attending meetings of our board of directors and committees of our board of directors. Directors who are also our employees receive no additional compensation for their service as a director.
+
+Our outside director compensation policy further provides that in any given fiscal year, a non-employee director may not receive cash compensation and equity awards with an aggregate value greater than $750,000 (determined in accordance with accounting principles generally accepted in the United States of America). Any cash compensation paid or awards granted to an individual for his or her services as an employee or a consultant (other than as a non-employee director) will not count for purposes of this limitation.
+
+Our 2018 Equity Incentive Plan, or the 2018 Plan, provides that in the event of a merger or change in control, as defined in our 2018 Plan, each outstanding equity award granted under our 2018 Plan that is held by a non-employee director will fully vest, all restrictions on the shares subject to such award will lapse, and with respect to awards with performance-based vesting, all performance goals or other vesting criteria will be deemed achieved at 100% of target levels, and all of the shares subject to such award will become fully exercisable, if applicable.
+
+The following table presents compensation information for our non-employee directors for fiscal year 2020.
+
+| Name      | Fees Earned or Paid in Cash ($) | Stock Awards ($) | Option Awards ($) | Non-Equity Incentive Plan Compensation ($) | Nonqualified Deferred Compensation Earnings ($) | All Other Compensation ($) | Total ($) |
+| --------- | ------------------------------- | ---------------- | ----------------- | ------------------------------------------ | ----------------------------------------------- | -------------------------- | --------- |
+| John Beck | 0                               | 0                | 122,007           | 0                                          | 0                                               | 0                          | 122,007   |
+
+\_\_\_\_\_\_\_\_\_\_\_
+
+- On December 2, 2019, Georgia Erbez resigned from the Board of Directors and on December 6, 2019, John W. Beck was appointed to the Board of Directors.
+
+The stock options issued in the above table were options granted on August 29, 2019 to purchase shares of the Company's common stock at an exercise price of $1.99 with an expiration date of August 29, 2029. The stock options vest on the earlier of six months after issuance or the date immediately preceding the 2020 annual meeting of stockholders.
+
+The following table presents the total number of shares subject to either options outstanding or restricted stock awards, as well as the number of shares subject to vested exercisable options, for each non-employee director as of August 31, 2020.
+
+| Director                 | Total Number of Options Outstanding or Restricted Stock Awards | Number of Vested Exercisable Options/Restricted Stock Awards |
+| ------------------------ | -------------------------------------------------------------- | ------------------------------------------------------------ |
+| Connie Matsui            | 41,500                                                         | 3,750                                                        |
+| Steven Kelly             | 34,750                                                         | 3,125                                                        |
+| R. Martin Emanuele, Ph.D | 42,500                                                         | 6,250                                                        |
+| Douglas Blayney, M.D     | 30,500                                                         | 3,125                                                        |
+| John Beck                | 50,000                                                         | 40,000                                                       |
+
+\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_
+
+- On December 2, 2019, Georgia Erbez resigned from the Board of Directors and on December 6, 2019, John W. Beck was appointed to the Board of Directors.
+
+## EXECUTIVE OFFICERS
+
+Our executive officers are appointed by, and serve at the discretion of, the Board. Each executive officer is a full-time employee of Artelo. The names of our executive officers and their ages, titles and biographies are set forth below:
+
+| Name              | Age | Position                                                                            |
+| ----------------- | --- | ----------------------------------------------------------------------------------- |
+| Gregory D. Gorgas | 58  | President, Chief Executive Officer, Chief Financial Officer, Secretary and Director |
+
+Gregory D. Gorgas. Please see biography in 'Proposal 1' section below.
+
+None of our executive officers has any family relationships with any of our other executive officers or directors. There currently are no legal proceedings, and during the past ten years there have been no legal proceedings, that are material to the evaluation of the ability or integrity of any of our executive officers.
+
+## Summary Compensation Table
+
+The following table summarizes the total compensation earned by our NEO for 2020 and 2019.
+
+## SUMMARY COMPENSATION TABLE
+
+| Name and Principal Position       | Year | Salary ($) | Bonus ($) | Stock Awards ($) | Option Awards ($) | Non-Equity Incentive Plan Compensa- tion ($) | Change in Pension Value and Nonqualified Deferred Compensa- tion Earnings ($) | All Other Compensa- tion ($) | Total ($) |
+| --------------------------------- | ---- | ---------- | --------- | ---------------- | ----------------- | -------------------------------------------- | ----------------------------------------------------------------------------- | ---------------------------- | --------- |
+| Gregory D. Gorgas                 |      |            |           |                  |                   |                                              |                                                                               |                              |           |
+| President, CEO, CFO,              | 2020 | 430,961    | 150,480\* | -                | -                 | -                                            | -                                                                             | -                            | 581,441   |
+| Secretary, Treasurer and Director | 2019 | 209,369    | -         | -                | 138,058           | -                                            | -                                                                             | -                            | 347,427   |
+
+\_\_\_\_\_\_\_\_\_
+
+\*Bonus was paid in October 2020.
+
+## Outstanding Equity Awards at Fiscal Year End
+
+As of August 31, 2020, there was an option to purchase 75,000 shares of our common stock held by our named executive officer.
+
+|                                                                          | Option Awards                                                    | Option Awards                                                      | Option Awards                                                                              | Option Awards         | Option Awards          | Option Awards                                           | Stock Awards                                                      | Stock Awards                                                                                        | Stock Awards                                                                                                        | Stock Awards |
+| ------------------------------------------------------------------------ | ---------------------------------------------------------------- | ------------------------------------------------------------------ | ------------------------------------------------------------------------------------------ | --------------------- | ---------------------- | ------------------------------------------------------- | ----------------------------------------------------------------- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- | ------------ |
+| Name                                                                     | Number of Securities Underlying Unexercised Options: Exercisable | Number of Securities Underlying Unexercised Options: Unexercisable | Equity Incentive Plan Awards: Number of Securities Underlying Unexercised Unearned Options | Option Exercise Price | Option Expiration Date | Number of Shares or Units of Stock That Have Not Vested | Market Value of Shares or Units of Stock That Have Not Vested (7) | Equity Incentive Plan Awards: Number of Unearned Shares, Units or Other Rights That Have Not Vested | Equity Incentive Plan Awards: Market or Payout Value of Unearned Shares, Units or Other Rights That Have Not Vested |              |
+|                                                                          | (1)                                                              | (2)                                                                | (3)                                                                                        | (4)                   |                        | (5)                                                     | (6)                                                               | (8)                                                                                                 | (9)                                                                                                                 |              |
+| Gregory D. Gorgas President, CEO, CFO, Secretary, Treasurer and Director | 18,756                                                           | 56,244                                                             |                                                                                            | $ 1.99                |                        | August 29, 2029                                         | - -                                                               | -                                                                                                   | -                                                                                                                   |              |
+
+## Executive Employment Agreements
+
+On April 3, 2017, our Company entered into an employment agreement with Gregory D. Gorgas. On March 15, 2019, the compensation committee of the Board increased Mr. Gorgas' salary by $10,000 per month, effective immediately.
+
+On August 30, 2019, and effective as of June 20, 2019, the Company and Mr. Gorgas entered into an amended and restated employment agreement (the 'Employment Agreement').
+
+Pursuant to the Employment Agreement, Mr. Gorgas receives a base salary of $396,000 per year, less applicable withholdings, and he will be eligible to earn an annual target bonus of up to 50% of his base salary upon achievement of performance objectives to be determined by the Company's board of directors or its compensation committee. Mr. Gorgas is also eligible to participate in any employee benefit plans sponsored by us.
+
+## EXECUTIVE COMPENSATION
+
+In addition, in connection with his employment, we have granted Mr. Gorgas an option to purchase 75,000 shares of our common stock at $1.99 per share pursuant to our 2018 Equity Incentive Plan. The shares subject to this option award will vest, subject to Mr. Gorgas' continued service through the applicable vesting date, ratably over 48 months starting on August 29, 2019, such that the option will be fully vested on August 29, 2023. The vesting of the option is also subject to certain vesting acceleration provisions pursuant to the Employment Agreement.
+
+The Employment Agreement also provides that Company shall pay the premiums for a life insurance policy for Mr. Gorgas for coverage of up to $1,000,000, and Mr. Gorgas shall be entitled to select personal beneficiaries for 100% of the proceeds of such policy. Mr. Gorgas may also choose to pay any additional premiums to increase the coverage of this life insurance policy.
+
+The Employment Agreement also provides benefits in connection with a termination of employment under specified circumstances. Under the terms of the Employment Agreement, if we terminate Mr. Gorgas' employment other than for cause, death, or disability, or Mr. Gorgas terminates his employment for good reason, Mr. Gorgas will be entitled to receive, subject to his timely execution and non-revocation of a release of claims, nondisparagement and his continued adherence to the non-solicitation provision of the Employment Agreement the following benefits: (A) if his termination of service occurs within the period 3 months prior to and 12 months after a change of control of the Company, (i) a lump sum severance payment equal to (x) 12 months of his then-current base salary and (y) his prorated annual bonus at the target level of achievement for the year in which the termination occurs, (ii) reimbursements for Mr. Gorgas and his eligible dependents' COBRA premiums for up to 12 months; and (iii) accelerated vesting as to 100% of Mr. Gorgas' then-outstanding time-based and performance-based equity awards; or (B) if his termination of service occurs outside of the period 3 months prior to and 12 months after a change of control of the Company, (i) continuing monthly payments of his then-current base salary for 12 months, (ii) a lump sum payment equal to a pro-rata portion of his then-current year target bonus, (iii) reimbursements for Mr. Gorgas and his eligible dependents' COBRA premiums for up to 12 months; and (iv) accelerated vesting as to (x) 100% of Mr. Gorgas' then-outstanding time-based equity awards and (y) that portion of Mr. Gorgas' then-outstanding performance based equity awards for the performance goals that had been satisfied at the time of termination or are expected to be satisfied.
+
+If any of the severance and other benefits provided for in the Employment Agreement or otherwise payable to Mr. Gorgas constitute 'parachute payments' within the meaning of Section 280G of the Internal Revenue Code (the 'Code') and could be subject to excise tax under Section 4999 of the Code, then such payments will be delivered in full or delivered as to such lesser extent which would result in no portion of such benefits being subject to excise tax, whichever results in the greater amount of after-tax benefits to Mr. Gorgas.
+
+On February 12, 2021 (the 'Grant Date') the Board granted an option to Mr. Gorgas, to purchase 834,500 shares of our common stock vesting as follows: 50% shall vest on the one-year anniversary of the Grant Date and 50% shall vest on the two-year anniversary of the Grant Date, such that 100% of the option shall be vested in a two year period, subject to Mr. Gorgas' continued service to the Company. The option is subject to the terms and conditions of the Company's 2018 Equity Incentive Plan and the related stock option agreement.
+
+On March 5, 2021, the compensation committee of the Board (the 'Compensation Committee') granted an option to Mr. Gorgas to purchase 575,100 shares of our common stock, vesting as follows: twenty-five percent (25%) of the shares subject to the option shall vest on the one (1) year anniversary of the Vesting Commencement Date (as defined below), and one forty-eighth (1/48 th ) of the shares subject to the option shall vest each month thereafter on the same day of the month as the Vesting Commencement Date (and if there is no corresponding day, on the last day of the month), subject to Mr. Gorgas' continued service to the Company. The Vesting Commencement Date is the March 5, 2021. In the event that the Mr. Gorgas' continuous status as a service provider is terminated by the Company upon or within twelve months after a Change in Control (as defined by the Plan), other than as a result of death, Disability or Resignation for Good Reason (as defined in Mr. Gorgas' Amended and Restated Employment Agreement by and between the Mr. Gorgas and the Company, effective as of June 19, 2019), 100% of the total number of shares subject to the option shall vest immediately. The option is subject to the terms and conditions of the Company's 2018 Equity Incentive Plan and the related stock option agreement.
+
+The Compensation Committee also increased Mr. Gorgas' base salary to $425,000 per year, effective January 1, 2021. Mr. Gorgas will continue to be eligible to earn an annual target bonus of up to 50% of his base salary upon achievement of performance objectives to be determined by the Board or its Compensation Committee.
+
+## Board Composition
+
+As of the date of this proxy statement, the Board consists of eight (8) members. Our bylaws provide that the number of directors will be fixed from time to time by resolution of the Board. All directors hold office until their successors have been elected and qualified or until their earlier death, resignation, disqualification or removal.
+
+The Board consists of Gregory D. Gorgas, Connie Matsui, Steven Kelly, John W. Beck, R. Martin Emanuele, Ph.D., Douglas Blayney, M.D., Gregory R. Reyes, M.D., Ph.D., and Tamara A. Seymour. At each annual meeting of stockholders, the successors to directors whose terms then expire will serve from the time of election and qualification until following annual meeting following election and until their successors are duly elected and qualified.
+
+Our bylaws provide for majority voting in the election of directors. Each director nominee will be elected to the Board if the votes cast for such nominee's election exceed the votes cast against such nominee's election.
+
+## Nominees for Election at the Annual Meeting
+
+The Corporate Governance and Nominating Committee recommended, and the Board nominated, Gregory D. Gorgas, Connie Matsui, Steven Kelly, John W. Beck, R. Martin Emanuele, Ph.D., Douglas Blayney, M.D., Gregory R. Reyes, M.D., Ph.D., and Tamara A. Seymour as nominees for election to the Board at the Annual Meeting. If elected, Gregory D. Gorgas, Connie Matsui, Steven Kelly, John W. Beck, R. Martin Emanuele, Ph.D., Douglas Blayney, M.D., Gregory R. Reyes, M.D., Ph.D., and Tamara A. Seymour, will continue as directors and their terms will expire at the 2021 Annual Meeting of Stockholders. Each director's term continues until the election and qualification of his or her successor, or such director's earlier death, resignation or removal.
+
+## Information about the Board of Directors
+
+The names and certain information regarding each member of the Board, including the nominees for election to the Board at the Annual Meeting, are set forth below. The following information has been furnished to us by the directors. For more information concerning the nominees, please see the section entitled ' Corporate Governance ' above.
+
+Gregory D. Gorgas was appointed president, chief executive officer, chief financial officer, treasurer, secretary and director of our Company on April 3, 2017. Prior to joining our Company, Mr. Gorgas was Senior Vice President, Commercial, and Corporate Officer at Mast Therapeutics from July 2011 to January 2017 with commercial leadership accountability and business development responsibilities for the hematology, oncology and cardiovascular development programs. In addition, he performed a key role in helping Mast Therapeutics raise over $50M in new capital. From November 2009 to July 2011, Mr. Gorgas was Managing Director at Theragence, Inc., a privately-held company he co-founded, that applies proprietary computational intelligence to mine and analyze clinical data. From November 2008 to July 2011, Mr. Gorgas also served as an independent consultant, providing commercial and business development consulting services to pharmaceutical, biotechnology and medical device companies. From 1997 to October 2008, Mr. Gorgas held several positions with Biogen Idec Inc., most recently, from March 2006 to October 2008, as Senior Director, Global and U.S. Marketing with responsibility for the strategic vision and operational commercialization of the company's worldwide cancer business. In this role, he hired and led the team in marketing, operations, project management, and business development in Europe and the US. Before such time, he had increasing responsibilities in marketing, sales, commercial operations, and project team and alliance management. Mr. Gorgas currently serves on the advisory board at Klotho Therapeutics. He holds an MBA from the University of Phoenix and a BA in economics from California State University, Northridge.
+
+Connie Matsui was elected to our Board on May 2, 2017. Ms. Matsui brings to her role over 16 years of general management experience in the biotechnology industry. Ms. Matsui retired from Biogen Idec in January 2009 as Executive Vice President, Knowledge and Innovation Networks. She served as an Executive Committee member at both Biogen Idec and IDEC Pharmaceuticals, a predecessor of Biogen Idec. Among the major roles she held after joining IDEC in November 1992 were: Senior Vice President, overseeing investor relations, corporate communications, human resources, project management and strategic planning; Collaboration Chair for the late stage development and commercialization of rituximab (tradenames: Rituxan ® , MabThera ® ) in partnership with Roche and Genentech; and Project Leader for Zevalin ® , the first radioimmunotherapy approved by the FDA. Prior to entering the biotechnology industry, Ms. Matsui worked for Wells Fargo Bank in general management, marketing and human resources. Ms. Matsui currently serves as the Chair of the Board at Halozyme Therapeutics and at Sutro Biopharma and has been active on a number of not-for-profit boards. She was National President/Board Chair of the Girl Scouts of the USA from 1999 to 2002. Ms. Matsui earned BA and MBA degrees from Stanford University.
+
+## PROPOSAL 1
+
+## ELECTION OF DIRECTORS
+
+Steven Kelly was elected to our Board on May 2, 2017. Mr. Kelly brings nearly thirty years of experience in Pharma/Biotech at all phases of the business across multiple therapeutic categories. Mr. Kelly is currently CEO at Carisma Therapeutics, a venture backed biotech pioneering the development of CAR macrophages, a disruptive approach to immunotherapy in cancer. From 2012 to 2018, Mr. Kelly was the principal of Kelly BioConsulting, LLC, and served as an independent consultant providing strategic direction and guidance to a variety of life sciences companies. Previously, Mr. Kelly was the founding CEO of Pinteon Therapeutics, an early stage oncology and CNS development company. Prior to this he held a number of leadership positions in the biotechnology industry including: CEO, Theracrine; CCO, BioVex; CEO, Innovive Pharmaceuticals; as well as various commercial and manufacturing roles at Sanofi, IDEC Pharmaceuticals and Amgen. Mr. Kelly holds a BS from University of Oregon and an MBA from Cornell University.
+
+John W. Beck was elected to our Board on December 6, 2019. Mr. Beck has served as the Senior Vice President and Chief Financial Officer at Ritter Pharmaceuticals, Inc., a publicly traded pharmaceutical company, since May 2018. From 2008 until its acquisition by AstraZeneca in 2012, Mr. Beck, served first as a board member and later as Chief Financial Officer and Senior Vice President of finance &amp; operations of Ardea Biosciences Inc. ('Ardea'). Before joining Ardea, Mr. Beck spent 10 years with Metabasis Thereapeutics Inc., as a Co-Founder and its Chief Financial Officer. Since leaving Ardea in 2012, Mr. Beck has been serving as a board member and advisor to August Therapeutics, Inc., a San Diego California-based company developing non-systemic therapeutics to treat disordered eating and obesity, and Pinnacle Medical Holdings, LLC, a Denver Colorado-based physician-led network of health-care providers, which was acquired by OnPoint Medical Group, LLC in August 2017. Mr. Beck also serves as a financial mentor to UCSD's TRITON Funds. Mr. Beck holds a Bachelor's degree in Accounting from the University of Washington, Seattle and a Bachelor's degree in Theology from a Seattle-area seminary.
+
+R. Martin Emanuele, Ph.D . was elected to our Board on September 20, 2017. Dr. Emanuele is currently co-founder and Chief Operating Officer of Visgenx. Inc, a private bio-pharmaceutical company. From May 2011 to October 2016, he served as Senior Vice President, Development at Mast Therapeutics Inc. From April 2010 to April 2011, Dr. Emanuele was Vice President, Pharmaceutical Strategy at DaVita, Inc., and leading provider of dialysis and other healthcare services in the United States. Prior to DaVita, from June 2008 to April 2010, Dr. Emanuele was a co-founder and CEO of SynthRx, Inc. a private bio-pharmaceutical company that was acquired by Mast Therapeutics (Savara, Inc) in April 2011. From November 2006 to May 2008, Dr. Emanuele was Senior Vice President, Business Development at Kemia, Inc., a venture-backed privately-held company focused on discovering and developing small molecule therapeutics. From 2002 to 2006, Dr. Emanuele held various senior-level positions with Avanir Pharmaceuticals, Inc., most recently as Vice President, Corporate Development and Portfolio Management, and from 1988 to 2002, Dr. Emanuele held positions of increasing responsibility at CytRx Corporation, most recently as Vice President, Research and Development and Business Development. He earned a Ph.D. in pharmacology and experimental therapeutics from Loyola University of Chicago, Stritch School of Medicine and a BS in biology from Colorado State University. He also holds an MBA with an emphasis in healthcare and pharmaceutical management from the University of Colorado.
+
+Douglas Blayney, M.D. was elected to our Board on July 31, 2017. Dr. Blayney is a Professor of Medicine at Stanford University and former Medical Director of Stanford Cancer Center. Dr. Blayney is a past president of the American Society of Clinical Oncology (ASCO) and a founder of the ASCO Quality Symposium. He was previously a Professor of Internal Medicine and Medical Director of the Comprehensive Cancer Center at the University of Michigan, and prior to that practiced and led Wilshire Oncology Medical Group, Inc. a physician owned multidisciplinary oncology practice in southern California. Dr. Blayney served on the Food and Drug Administration's Oncologic Drugs Advisory Committee and is Founding Editor-in-Chief and Editor-in-Chief Emeritus of ASCO's Journal of Oncology Practice. He has over 70 scientific publications with expertise on clinical trial development, use of oncology drugs in clinical practice, and information technology use. Dr. Blayney earned a degree in electrical engineering from Stanford, is a graduate of the University of California, San Diego School of Medicine, and received post graduate training at UCSD and at the National Cancer Institute in Bethesda, Maryland.
+
+Gregory Reyes, M.D., Ph.D. , was elected to our Board on November 30, 2021. Dr. Reyes has served as a Pharmaceutical and Biotech Industry Advisor and Consultant to various companies from June 2016 to present. Dr. Reyes has also served as the Co-Founder of OROX Biosciences, Inc. from June 2017 to present. Prior to that, Dr. Reyes served as the Senior Vice President, Drug Discovery &amp; San Diego Site Head, overseeing drug discovery at Celgene from June 2011 to June 2016. Prior to that, Dr. Reyes served as Senior Vice President &amp; San Diego Site Head, leading the oncology franchise at Biogen Idec from October 2008 to June 2011. Dr. Reyes currently serves as advisor to Cancer Research UK's New Agents Committee and previously served on NIH's National Advisory General Medical Sciences Council, and the Standing Review Committee for the Research Centers in Minority Institutions, National Center for Research Resources. Dr. Reyes obtained his M.D. and Ph.D. at The Johns Hopkins School of Medicine and trained in medicine at Stanford University Hospital. Dr. Reyes received his bachelor's degree in Biology from the University of California, Santa Cruz.
+
+Tamara A. Seymour was elected to our Board on March 5, 2021. Ms. Seymour served as a member of the board of directors and Chair of the audit committee of Beacon Discovery, Inc., a drug discovery company in San Diego, California, from 2018 until its acquisition by Eurofins Scientific in March 2021. Ms. Seymour served as Interim Chief Financial Officer of Immunic, Inc., clinical-stage drug development company in 2019. She was Chief Financial Officer of Signal Genetics, Inc., a publicly traded molecular diagnostics company, from 2014 to 2017. She served as Chief Financial Officer of HemaQuest Pharmaceuticals, Inc., a venture-backed clinical-stage drug development company, from 2010 to 2014. From 2001 to 2009, she served as Chief Financial Officer of Favrille, Inc., a publicly traded clinical-stage drug development company. Ms. Seymour has also served as consulting chief financial officer for a number of biotechnology companies, served Director of Finance and Controller of Agouron Pharmaceuticals, Inc. (now Pfizer, Inc.) and spent eight years in public accounting with Deloitte &amp; Touche LLP and PricewaterhouseCoopers LLP, including three years as audit manager. Ms. Seymour is a Certified Public Accountant (inactive). She received an MBA, emphasis in Finance, from Georgia State University, and a bachelor's degree in Business Administration, emphasis in Accounting, from Valdosta State University. Ms. Seymour also participated in an executive management program at Kellogg Graduate School of Management at Northwestern University.
+
+## Vote Required
+
+The election of each director requires the affirmative vote of a majority of the shares present in person live via the internet or by proxy and entitled to vote at a meeting at which a quorum is present. Abstentions are deemed to be votes cast and have the same effect as a vote 'AGAINST' the proposal. Abstentions and broker non-votes will be counted as present for purposes of determining the presence of a quorum. The proxy holders may not vote the proxies for a greater number of persons than the number of nominees named. If any nominee should be unavailable for election as a result of an unexpected occurrence, shares will be voted for the election of such substitute nominee as the Board may propose. Each person nominated for election has agreed to serve if elected, and the Board has no reason to believe that any nominee will be unable to serve.
+
+## THE BOARD UNANIMOUSLY RECOMMENDS A VOTE 'FOR' THE ELECTION AS A DIRECTOR OF EACH OF THE EIGHT (8) NOMINEES LISTED ABOVE
+
+## PROPOSAL 2
+
+## RATIFICATION OF INDEPENDENT REGISTERED PUBLIC ACCOUNTING FIRM
+
+We are asking you to ratify the appointment of MaloneBailey, LLP ('MaloneBailey'), as our independent registered public accounting firm for the year ending August 31, 2021 and for the stub period between September 1, 2021 and December 31, 2021. Representatives of MaloneBailey are expected to be present live via the internet at the Annual Meeting, will have an opportunity to make a statement should they desire to do so and will be available to respond to appropriate questions.
+
+Although our bylaws do not require that our stockholders approve the appointment of our independent registered public accounting firm, the Board is submitting the selection of MaloneBailey to our stockholders for ratification as a matter of good corporate practice. If our stockholders vote against the ratification of MaloneBailey, the Audit Committee will reconsider whether to continue to retain the firm. Even if our stockholders ratify the appointment of MaloneBailey, the Audit Committee may choose to appoint a different independent registered public accounting firm at any time during the year if the Audit Committee determines that such a change would be in the best interests of our company and our stockholders.
+
+## Independent Registered Public Accounting Firm Fees and Services
+
+The following table presents fees for professional audit and other services rendered by MaloneBailey for the audit of our annual consolidated financial statements as of and for the years ended August 31, 2020 and 2019, respectively, and fees billed for other services rendered by MaloneBailey during those respective periods.
+
+|                        | 2020     | 2019     |
+| ---------------------- | -------- | -------- |
+| Audit Fees (1)         | $ 54,000 | $ 44,000 |
+| Audit Related Fees (2) | 29,102   | 16,325   |
+| Tax Fees (3)           | 87,102   | 4,450    |
+| All Other Fees (4)     | -        | -        |
+| Total                  | $ 87,102 | $ 64,775 |
+
+Our audit committee pre-approves all services provided by our independent auditors. All of the above services and fees were reviewed and approved by the audit committee either before or after the respective services were rendered.
+
+Our Board has considered the nature and amount of fees billed by our independent auditors and believes that the provision of services for activities unrelated to the audit is compatible with maintaining our independent auditors' independence.
+
+## Vote Required
+
+Ratification of MaloneBailey as our independent registered public accounting firm for the year ending August 31, 2021 and for the stub period between September 1, 2021 and December 31, 2021, requires the affirmative vote of a majority of the shares present in person or by proxy and entitled to vote at a meeting at which a quorum is present. Abstentions are deemed to be votes cast and have the same effect as a vote 'AGAINST' the proposal. This proposal is considered a routine or 'discretionary' matter on which your broker, bank or other agent will be able to vote on your behalf even if it does not receive instructions from you; therefore, no broker non-votes are expected to exist in connection with this proposal.
+
+## THE BOARD RECOMMENDS A VOTE 'FOR' RATIFICATION OF MALONEBAILEY, LLP AS OUR INDEPENDENT REGISTERED PUBLIC ACCOUNTING FIRM
+
+## REPORT OF THE AUDIT COMMITTEE OF THE BOARD OF DIRECTORS
+
+The audit committee is a committee of the board of directors comprised solely of independent directors as required by the Nasdaq listing standards and rules and regulations of the SEC. The audit committee operates under a written charter approved by our board of directors, which is available on our corporate web site at <https://www.artelobio.com>. The composition of the audit committee, the attributes of its members and the responsibilities of the audit committee, as reflected in its charter, are intended to be in accordance with applicable requirements for corporate audit committees. The audit committee reviews and assesses the adequacy of its charter and the audit committee's performance on an annual basis.
+
+With respect to Artelo Biosciences' financial reporting process, management is responsible for (1) establishing and maintaining internal controls and (2) preparing Artelo's consolidated financial statements. Artelo's independent registered public accounting firm, MaloneBailey, LLP ('MaloneBailey'), is responsible for performing an independent audit of Artelo's consolidated financial statements in accordance with the auditing standards of the Public Company Accounting Oversight Board (United States), or PCAOB, and to issue a report thereon. It is the responsibility of the audit committee to oversee these activities. It is not the responsibility of the audit committee to prepare Artelo's financial statements. These are the fundamental responsibilities of management. In the performance of its oversight function, the audit committee has:
+
+- reviewed and discussed the audited financial statements for fiscal year 2020 with management;
+- discussed with MaloneBailey, Artelo's independent registered public accounting firms, the matters required to be discussed by the applicable requirements of Auditing Standard No. 1301, Communications with Audit Committees, as adopted by the PCAOB;
+- received the written disclosures and the letters from MaloneBailey, as required by applicable requirements of the PCAOB regarding the independent registered public accounting firm's communications with the audit committee concerning independence, and has discussed with MaloneBailey, that firm's independence.
+
+The audit committee has also appointed MaloneBailey as the company's independent registered public accounting firm for the year ending August 31, 2021 and for the stub period between September 1, 2021 and December 31, 2021 and for the stub period between September 1, 2021 and December 31, 2021.
+
+## The Audit Committee
+
+John W. Beck (Chair) Connie Matsui Steven Kelly
+
+This report of the audit committee shall not be deemed to be 'soliciting material' or to be 'filed' with the SEC or subject to Regulation 14A promulgated by the SEC or Section 18 of the Exchange Act, and shall not be deemed incorporated by reference into any prior or subsequent filing by Artelo Biosciences under the Securities Act of 1933, as amended, or the Securities Act, or the Exchange Act, except to the extent Artelo Biosciences specifically requests that the information be treated as 'soliciting material' or specifically incorporates it by reference.
+
+## CERTAIN RELATIONSHIPS AND RELATED TRANSACTIONS
+
+Except as disclosed herein, no director, executive officer, shareholder holding at least 5% of shares of our common stock, or any family member thereof, had any material interest, direct or indirect, in any transaction, or proposed transaction since the year ended August 31, 2020, in which the amount involved in the transaction exceeded or exceeds the lesser of $120,000 or one percent of the average of our total assets at the year-end for the last three completed fiscal years:
+
+The Company has an employment contract with a key employee, Gregory Gorgas, who is an officer of the Company. During the years ended August 31, 2020, 2019 and 2018, $446,044, $209,369 and $74,840 were paid as salary to Mr. Gorgas, respectively. See the section titled ' Executive Compensation .'
+
+During the year ended August 31, 2019, Blackrock Ventures, Ltd., an entity owned by the Senior Vice President, European Operations, who is a major stockholder of the Company, provided $38,000 worth of consulting services to the Company. On March 15, 2019, the Board approved the issuance of 25,000 shares of our common stock valued at $240,000 in exchange for its prior services to the Company.
+
+## Director Independence
+
+Our Board has undertaken a review of the independence of the directors and considered whether any director has a material relationship with us that could compromise his or her ability to exercise independent judgment in carrying out his or her responsibilities. As a result of this review, our Board has determined that Ms. Matsui, Dr. Blayney, Mr. Kelly, Dr. Emanuele, Mr. Beck, Dr. Reyes, and Ms. Seymour representing six of our eight directors, are 'independent directors' as defined under the rules of the Nasdaq Capital Market. Mr. Gorgas is not considered independent due to his service as an executive officer of the Company.
+
+## Indemnification of Directors and Officers
+
+The Company's Articles of Incorporation and Bylaws provide that, to the fullest extent permitted by the laws of the State of Nevada, any officer or director of the Company, who was or is a party or is threatened to be made a party to any threatened, pending or completed action, suit or proceeding, whether civil, criminal, administrative or investigative, by reason of the fact that he/she is or was or has agreed to serve at the request of the Corporation as a director, officer, employee or agent of the Corporation, or while serving as a director or officer of the Corporation, is or was serving or has agreed to serve at the request of the Corporation as a director, officer, employee or agent (which, for purposes hereof, shall include a trustee, partner or manager or similar capacity) of another corporation, partnership, joint venture, trust, employee benefit plan or other enterprise, or by reason of any action alleged to have been taken or omitted in such capacity. For the avoidance of doubt, the foregoing indemnification obligation includes, without limitation, claims for monetary damages against Indemnitee to the fullest extent permitted under Section 78.7502 of the Nevada Revised Statutes as in existence on the date hereof.
+
+The indemnification provided shall be from and against expenses (including attorneys' fees), judgments, fines and amounts paid in settlement actually and reasonably incurred by Indemnitee or on Indemnitee's behalf in connection with such action, suit or proceeding and any appeal therefrom, but shall only be provided if Indemnitee acted in good faith and in a manner Indemnitee reasonably believed to be in or not opposed to the best interests of the Corporation, and, with respect to any criminal action, suit or proceeding, had no reasonable cause to believe Indemnitee's conduct was unlawful.
+
+In the case of any threatened, pending or completed action or suit by or in the right of the Corporation to procure a judgment in its favor by reason of the fact that he/she is or was a director, officer, employee or agent of the Corporation, or while serving as a director or officer of the Corporation, is or was serving or has agreed to serve at the request of the Corporation as a director, officer, employee or agent of another corporation, partnership, joint venture, trust, employee benefit plan or other enterprise, no indemnification shall be made in respect of any claim, issue or matter as to which Indemnitee shall have been adjudged to be liable to the Corporation unless, and only to the extent that, the Nevada courts or the court in which such action or suit was brought shall determine upon application that, despite the adjudication of liability but in view of all the circumstances of the case, Indemnitee is fairly and reasonably entitled to indemnity for such expenses which the Nevada courts or such other court shall deem proper.
+
+The termination of any action, suit or proceeding by judgment, order, settlement, conviction, or upon a plea of nolo contendere or its equivalent, shall not, of itself, create a presumption that he/she did not act in good faith and in a manner which Indemnitee reasonably believed to be in or not opposed to the best interests of the Corporation, and, with respect to any criminal action or proceeding, had reasonable cause to believe that Indemnitee's conduct was unlawful.
+
+To the extent that indemnification for liabilities arising under the Securities Act may be permitted to directors, officers or persons controlling our company pursuant to the foregoing provisions, we have been informed that, in the opinion of the SEC, such indemnification is against public policy as expressed in the Securities Act and is therefore unenforceable. If a claim for indemnification against such liabilities (other than the payment by us of expenses incurred or paid by a director, officer or controlling person of our company in the successful defense of any action, suit or proceeding) is asserted by any of our directors, officers or controlling persons in connection with the securities being registered, we will, unless in the opinion of our counsel the matter has been settled by controlling precedent, submit to a court of appropriate jurisdiction the question whether such indemnification by us is against public policy as expressed in the Securities Act and will be governed by the final adjudication of that issue.
+
+## EQUITY COMPENSATION PLAN INFORMATION
+
+The following table summarizes the number of outstanding options and rights granted to our employees, consultants and directors, as well as the number of shares of common stock remaining available for future issuance, under our equity compensation plans as of August 31, 2020:
+
+| Plan Category                                              | Number of securities to be issued upon exercise of outstanding options and rights (a) | Weighted- average exercise price of outstanding options and rights (b) | Number of securities remaining available for future issuance under equity compensation plans (excluding securities reflected in column (a)) (c) |
+| ---------------------------------------------------------- | ------------------------------------------------------------------------------------- | ---------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------- |
+| Equity compensation plans approved by security holders(1)  | 281,834                                                                               | $ 3.57                                                                 | 518,166                                                                                                                                         |
+| Equity compensation plans not approved by security holders | -                                                                                     | -                                                                      | -                                                                                                                                               |
+| Total                                                      | 281,834                                                                               | $ 3.57                                                                 | 518,166                                                                                                                                         |
+
+\_\_\_\_\_\_\_\_\_\_\_\_
+
+(1) Consists of the 2018 Equity Incentive Plan.
+
+Dated: May 7, 2021
+
+## OTHER MATTERS
+
+We know of no other matters to be submitted at the Annual Meeting. If any other matters are properly brought before the Annual Meeting, it is the intention of the individuals we have designated as proxies to vote the shares that they represent on such matters in accordance with their judgment.
+
+For further information about Artelo Biosciences, Inc., please refer to our Annual Report on Form 10-K for the year ended August 31, 2020, filed with the SEC on November 4, 2020. Our Annual Report on Form 10-K is publicly available <https://www.proxyvote.com>, on the SEC's website at <https://www.sec.gov> or on our website at <https://www.artelobio.com> under 'Investor - SEC Filings.' You may also obtain a copy by sending a written request to Artelo Biosciences, Inc., Attn: Investor Relations, 888 Prospect Street, Suite 210, La Jolla, CA 92037.
+
+By order of the Board of Directors,
+
+By: /s/ Gregory D. Gorgas Gregory D. Gorgas President and Chief Executive Officer

tools/benchmark-harness/vendored/docling/md/nougat_035.md

@@ -0,0 +1,326 @@
+## Study #5 Weight Loss Effect in Overweight Women Clinical Study Purpose
+
+Consuming Celsius prior to exercising improves body composition and lipid profile (cholesterol, triglyceride levels) in overweight and obese women.
+
+## Results
+
+Overweight and obese women drinking Celsius prior to moderate exercise resulted in increased fat loss, increased muscle mass, increased endurance performance with significant improvements to blood lipid profiles when compared to exercise alone.
+
+Participants' results included: 46% greater fat loss 27% greater muscle mass 35% greater endurance performance.
+
+Drinking Celsius with or without exercise showed a significant drop in total cholesterol (5 to 13%) and bad LDL cholesterol (12-18%). Exercise alone had no impact on blood lipid levels.
+
+LOW-CALORIE THERMOGENIC BEVERAGE AND EXERCISE IMPROVES BODY COMPOSITION AND LIPID PROFILE IN OVERWEIGHT AND OBESE WOMEN Abbie E. Smith , Jordan R. Moon, Christopher M. Lockwood, Kristina L. Kendall, Jennifer L. Graef, David H. Fukuda, Joel T. Cramer , Jeffrey R. Stout. Department of Health and Exercise Science, University Of Oklahoma, Norman, OK
+
+The purpose of this study was to evaluate the combined effects of a 10-week exercise program with chronic ingestion of a thermogenic energy drink on body composition, cardiovascular fitness, strength, and safety in overweight and obese women. In a double-blind placebo-controlled approach overweight and obese women (n=27) were randomly assigned to groups that consumed identically tasting treatment beverages with exercise (EX-Act: n=6; EX-PL: n=9) or without exercise (NEX-Act: n=7; NEX-PL: n=5). All participants consumed one drink per day for 10 weeks; EX-Act and EX-PL participated in a 10-week endurance and resistance training program. Fifteen minutes prior to each workout, participants consumed their assigned drink; on nontraining days the same beverage was consumed ad libitum . Changes in body composition were assessed using a fourcompartment model. Changes in muscle mass (MM) were evaluated using a previously published equation based on DXAderived appendicular lean-soft tissue. Cardiovascular fitness and upper- and lower-body strength were assessed prior to and following the 10-week intervention. Separate two-way repeated measures ANOVAs [treatment (EX-Act vs. EX-PL vs. NEX-Act vs. NEX-PL) x time (Pre vs. Post)] indicated a significant time x treatment interaction for muscle mass (p=0.026) and total cholesterol (p=0.047); a significant time x training interaction for VO 2 peak (p=0.046), ventilatory threshold (VT, p=0.014), upper- and lower-body strength (p<0.05). Post hoc analyses revealed a significant difference between the EX- and NEX-groups for percent change in muscle mass (EX-Act: 6.8 ± 2.5%; EX-PL: 5.1 ± 2.4%; NEX-Act: 1.1 ± 3.2%; NEX-PL: 1.4 ± 1.3%) and VO2peak (EX-Act: 13.4 ± 10.1%; EX-PL: 8.9 ± 6.9%; NEX-Act: 2.1 ± 6.6%; NEX-PL: 7.2 ± 5.4%), VT (EX-Act: 46.2 ± 23.3%; EX-PL: 15.0 ± 15.6%; NEX-Act: 6.6 ± 17.5%; NEX-PL: 10.3 ± 22.4%), upper- (EX-Act: 14.4 ± 10.1%; EX-PL: 20.9 ± 8.3%; NEX-Act: 2.0 ± 3.4%; NEX-PL: 2.7 ± 7.7%) and lower- (EX-Act: 33.3 ± 23.9%; EX-PL: 31.7 ± 23.94%; NEX-Act: 1.4 ± 4.1%; NEX-PL: 1.2 ± 3.0%) body strength. Clinical markers for hepatic and renal function revealed no adverse effects in response to the beverage consumption. Total cholesterol significantly decreased for the Act supplementing groups (EX-Act: -5.0 ± 4.7%; NEX-Act: -10.7 ± 15.4% vs. EXPL: +3.0 ± 12.8%, NEX-PL: +0.3 ± 8.9%). The current data suggest that the ACSM exercise program guidelines provide an effective measure for improving cardiovascular fitness, strength and modifying body composition. Individual data demonstrate support for implementing a single serving thermogenic drink prior to exercise, to improve muscle mass, decrease fat mass and improve lipid profiles of overweight women, compared to exercise alone.
+
+THE EFFECT OF PLATE SIZE ON ENERGY INTAKE IN NORMAL AND OVERWEIGHT/OBESE SUBJECTS Schroeder B°, Winn W°, Shah Ma', A dams-Huet B°. 'Dept. of Kinesiology, TCU, Fort Worth, TX & "Dept. of Clinical Sciences, UT Southwestern Medical Center, Dallas, TX.
+
+Ten NW and 10 OW women were recruited for the study. Each subject came to the metabolic lab on two different days, separated by at least 2 days, for lunch. During the first day, each subject was randomly assigned to eat using either a small plate (SP) (8.5") or large plate (LP) (10.75") and was asked to serve herself as much spaghetti with red sauce as she wanted from her own individual serving bowl onto her plate. During the second day, the subject underwent the same procedure but with the different size plate. The amount of food consumed during each occasion was determined by weighing the serving bowl and plate before and after the food was consumed. The data were analyzed using a 2 factor [plate size (repeated factor) and weight status] ANOVA.
+
+Only one study has examined the role of plate size on energy intake and there is no data on the effect by weight This study determined if plate size affects energy intake and whether overweight/obese (OW) subjects (BMI > 25 kg/m') respond to plate size differently compared with normal weight (NW) subjects (BMI: 18.5-24.9 kg/m?).
+
+There was no effect (mean+SD) of plate size x weight status (NW-LP: 326194 kcal; NW-SP: 324+123 kcal; OWLP: 293+103 kcal; OW-SP: 314+151 kcal; p=0.55), plate size (LP: 309+98 kcal; SP: 319+134 kcal; p=0.60), or weight status (NW: 325 kcal; OW: 303 kcal; p=0.67) on energy intake. Plate size did not affect energy intake and the response was not different in NW and OW subjects.
+
+Abstract 65
+
+## FOLLOW UP INVESTIGATION OF EARLIER OBESE SCHOOLCHILDREN WITH INSULIN RESISTANCE TREATED BY LIFESTYLE MODIFICATION
+
+Szamosi T. 2'd Pediatric Dept. of Med/Fac, Semmelweis University, Budapest, Hungary.
+
+Long time effect of lifestyle modification (LM) advised against insulin resistance syndrome (IRS) is not established, therefore repeated investigation of our earlier patients were performed after ten years. Our invitation was accepted by 127 patients whose IRS was thought to be improved after a 2 years long care 8 years ago. 28 have continued (group 1), 42 have partly continued (group 2), 57 have not continued (group 3) the LM. BMI, BP, carbohydrate and lipid metabolic parameters were determined. BMi was > 25 together with high SBP in 4, 6, 31 cases from group 1, 2, 3, respectively. The frequency difference between group 1 and 3 was significant. Impaired glucose tolerance together with hyperinsulinemia were found in 9, 13, 39 cases from group 1, 2, 3, respectively w/o significant frequency differences. No pathologic serum lipid parameters were observed. The effect of LM on different IRS risk factors seems to be due to the compliance time and the factor,s nature.
+
+LOW-CALORIE THERMOGENIC BEVERAGE AND EXERCISE IMPROVES BODY COMPOSITION AND LIPID PROFILE IN OVERWEIGHT AND OBESE WOMEN Abbie E. Smith, Jordan R. Moon, Christopher M. Lockwood, Krislina L. Kendall, Jennifer L. Gracf, David H. Fukuda, Joel T. Cramer, Jeffrey R. Stout. Department of Health and Exercise Science, University Of Oklahoma, Norman, OK The purpose of this study was to evaluate the combined effects of a 10-week exercise program with chronic ingeslion of a thermogenic energy drink on body composition, cardiovascular fitness, strength, and safety in overweight and obese women. In a double-blind placebo-controlled approach overweight and obese women (n=27) were randomly assigned to groups that consumed identically tasting treatment beverages with exercise (EX-Aci: n=6; EX-PL: n=9) or without exercise (NEX-Act: n=7; NEXPL: n=5). All participants consumed one drink per day for t0 weeks; EX-Act and EX-PL participated in a 10-weck endurance and resistance training program. Fifteen minutes prior to each workout, participants consumed their assigned drink; on non-training days the same beverage was consumed ad libitum. Changes in body composition were assessed using a four-compartment model. Changes in muscle mass (MM) were evaluated using a previously published equation based on DXA-derived appendicular lean-soft tissue. Cardiovascular fitness and upper- and lower-body strength were assessed prior to and following the 10-week intervention. Separate two-way repeated measures ANOVAs [treatment (EX-Act vs. EX-PL. vs. NEX-Act vs. NEX-PL) x time (Pre vs. Post)] indicated a significant time x treatment interaction for muscle mass (p=0.026) and total cholesterol (p=0.047); a significant time x training interaction for VO*peak (p=0.046), ventilatory threshold (VT, p=0.014), upper-and lower-body strength (p<0.05). Post hoc analyses revealed a significant difference between the EXand NEX-groups for percent change in muscle mass (EX-Act: 6.8 + 2.5%; EXPL: 5.1 ‡ 2.4%; NEX-Act: 1.1 \_3.2%; NEX-PL: 1.4* 1.3%) and VO*peak (EXAct: 13.4 ‡ 10.1%; EX-PL: 8.9 \_6.9%; NEX-Act: 2.1* 6.6%; NEX-PL: 7.2 + 5.4%), VT (EX-Act: 46.2 + 23.3%; EX-PL: 15.0 + 15.6%; NEX-Act: 6.6 _17.5%; NEX-PL: 10.3 ‡ 22.4%), upper- (EX-Act: 14.4 ‡ 10.1%; EX-PL: 20.9 + 8.3%; NEX-Act: 2.0 ‡ 3.4%; NEX-PL: 2.7 + 7.7%) and lower- (EX-Act: 33.3 + 23.9%; EX-PL: 31.7_ 23.94%; NEX-Act: 1.4 _4.1%; NEX-PL: 1.2_ 3.0%) body strength. Clinical markers for hepatic and renal function revealed no adverse effects in response to the beverage consumption. Total cholesterol significantly decreased for the Act supplementing groups (EX-Act: -5.0 + 4.7%; NEX-Act: · 10.7 \* 15.4% vs. EX-PL: +3.0 + 12.8%, NEX-PL: +0.3 ÷ 8.9%). The current data suggest that the ACSM exercise program guidelines provide an effective measure for improving cardiovascular fitness, strength and modifying body composition. Individual data demonstrate support for implementing a single serving thermogenic drink prior to exercise, to improve muscle mass, decrease fat mass and improve lipid profiles of overweight women, compared to exercise alone.
+
+Abstract 66
+
+## SIGNIFICANT IMPROVEMENTS IN VIGOR, MOOD STATE AND HORMONE PROFILE ASSOCIATED WITH LIFESTYLE Talbott S.', Talbott J., Larsen W.', & Jackson V.?
+
+'SupplementWatch, Inc. and Treehouse Athletic Club, Draper, UT Chronic stress plays a major role in the pathophysiology of many disease states, particularly psychological disorders including depression, chronic fatigue, anxiety, fibromyalgia, and burnout. These stress-related changes in psychology may be due to both endocrine and behavioral factors - and may be mediated or attenuated by lifestyle factors including
+
+Vigor is defined as a 3-tiered sustained mood-state that is characterized by (I) physical energy, (2) mental energy, and (3) cognitive liveliness. Vigor can also be described as the opposite of "Burnout" (physical fatigue, mental exhaustion, cognitive weariness).
+
+Our objective was to assess changes in Vigor, Mood State, and Hormone Profile in response to a lifestyle intervention. We recruited 117 moderately stressed subjects (95 women / 22 men) in three cohorts at different times of the year (January, May, November). Subjects followed a 6-12 week regimen (depending on cohort) including a balanced diet, moderate exercise (3-5 d/wk), and an herbal dietary supplement based on Eurycoma longifolia (a Malaysian traditional remedy for improving mood and energy levels). We measured endocrine parameters (salivary cortisol to testosterone (C:T) ratio), and Global Mood State (MOOD) and related subscales: Vigor (V), Fatigue (F), and Depression (D), using the Profile of Mood States (POMS) psychological survey before and after the intervention. Significant changes (all, p<0.05) were found for C:T (-1519%), MOOD (+20-22%), V (+27-29%), F (-41-48%), and D (-40-52%). These data indicate that factors that are typically disrupted during chronic stress (hormone profile and psychological mood state) may be positively and significantly
+
+## Low­calorie Thermogenic Beverage and Exercise Improves Composition and Lipid Profile in Overweight and Obese Women
+
+Abbie E. Smith,  Jordan R. Moon, Chris M. Lockwood,, Kristina L. Kendall,  David H. Fukuda, Joel T. Cramer and Jeffrey R. Stout. Department of Health and Exercise Science - The University of Oklahoma - Norman, Oklahoma; <abbiesmith@ou.edu>
+
+The purpose of this study was to evaluate the combined effects of a 10-week exercise program with chronic ingestion of a thermogenic energy drink on body composition, cardiovascular fitness, strength, and safety in overweight and obese women.  In a double-blind placebo-controlled approach overweight and obese women (n=27) were randomly assigned to groups that consumed identically tasting treatment beverages with exercise (EX-Act: n=6; EX-PL: n=9) or without exercise (NEX-Act: n=7; NEX-PL: n=5).  All participants consumed one drink per day for 10 weeks; EX-Act and EX-PL participated in a 10-week endurance and resistance training program. Fifteen minutes prior to each workout, participants consumed their assigned drink; on non-training days the same beverage was consumed ad libitum .  Changes in body composition were assessed using a four-compartment model.  Changes in muscle mass (MM) were evaluated using a previously published equation based on DXA-derived appendicular lean-soft tissue.  Cardiovascular fitness and upper- and lower-body strength were assessed prior to and following the 10-week intervention.  Separate two-way repeated measures ANOVAs [treatment (EX-Act vs. EX-PL vs. NEX-Act vs. NEX-PL) x time (Pre vs. Post)] indicated a significant time x treatment interaction for muscle mass (p=0.026) and total cholesterol (p=0.047); a significant time x training interaction for VO2peak (p=0.046), ventilatory threshold (VT, p=0.014), upper- and lower-body strength (p&lt;0.05).  Post hoc analyses revealed a significant difference between the EX- and NEX-groups for percent change in muscle mass (EX-Act: 6.8 ± 2.5%; EX-PL: 5.1 ± 2.4%; NEX-Act: 1.1 ± 3.2%; NEX-PL: 1.4 ± 1.3%)  and VO2peak (EX-Act: 13.4 ± 10.1%; EX-PL: 8.9 ± 6.9%; NEX-Act: 2.1 ± 6.6%; NEX-PL: 7.2 ± 5.4%), VT (EX-Act: 46.2 ± 23.3%; EX-PL: 15.0 ± 15.6%; NEX-Act: 6.6 ± 17.5%; NEX-PL: 10.3 ± 22.4%), upper- (EX-Act: 14.4 ± 10.1%; EX-PL: 20.9 ± 8.3%; NEX-Act: 2.0 ± 3.4%; NEX-PL: 2.7 ± 7.7%) and lower- (EX-Act: 33.3 ± 23.9%; EX-PL: 31.7 ± 23.94%; NEX-Act: 1.4 ± 4.1%; NEX-PL: 1.2 ± 3.0%) body strength.  Clinical markers for hepatic and renal function revealed no adverse effects in response to the beverage consumption. Total cholesterol significantly decreased for the Act supplementing groups (EX-Act: -5.0 ± 4.7%; NEX-Act: -10.7 ± 15.4% vs. EX-PL: +3.0 ± 12.8%, NEX-PL: +0.3 ± 8.9%). The current data suggest that the ACSM exercise program guidelines provide an effective measure for improving cardiovascular fitness, strength and modifying body composition.  Individual data demonstrate support for implementing a single serving thermogenic drink prior to exercise, to improve muscle mass, decrease fat mass and improve lipid profiles of overweight women, compared to exercise alone. Acknowledgements : This study was funded by Celsius ® , Inc., Delray Beach, FL
+
+EXPERIMENTAL DESIGN
+
+INTRODUCTION
+
+Maichtlaceaundlamantonromiddlu ninhleand aunarfuandly markotod arhilo
+
+Weight loss supplements are widely available and superfluously marketed, while lacking substantial efficacy and safety data.  Many supplements are marketed as 'natural' and therefore relaying 'safety' again lacking supporting data.  Furthermore, many weight loss supplements fail to recognize the combination of diet and exercise, as the effective way to losing weight.  Many common 'natural' ingredients, such as caffeine, green tea, and ginseng, have made their way into weight loss supplements, as effective thermogenic and lipolytic ingredients.  Specifically, it has previously been reported (1) that a commercially available, low-calorie thermogenic drink (Celsius ® , Celsius, Inc., Delray Beach, FL) significantly increased resting energy expenditure (REE) and serum free fatty acids (FFA) in response to acute oral ingestion compared to a placebo.  In addition,  Roberts et al. (2) reported a decrease in percent body fat (%FAT), increased serum FFA and no significant differences in blood lipids or other metabolic safety indices after 28 days of chronic ingestion of the same energy drink versus placebo. Dalbo et al. (1) found that compared to placebo, Celsius ®  significantly increased REE (kcal/d) by approximately 10% after 120 minutes post-ingestion, with no change seen at 180 minutes. At 30, 60, 120 and 180 minutes post-ingestion, circulating FFA concentrations were also significantly elevated, compared to placebo. Concluding that this thermogenic drink may be an effective stimulus to promote weight loss and changes in body composition, independent of modifications in diet or exercise (1). Moreso, Lockwood et al. (3) demonstrated that when combined with exercise, consuming a thermogenic drink prior to exercise may safely improve body composition and strength and fitness in healthy men Therefore, the purpose of this study was to evaluate the combined effects of a 10-week exercise program with chronic ingestion of a thermogenic energy drink on body composition, cardiovascular fitness, strength, and safety in overweight and obese women.
+
+This study implemented a randomized, double-blind placebo-controlled design examining the combined effects of a 10-week pre-exercise intervention with a lowcalorie energy and thermogenic beverage (Celsius®, Celsius, Inc. Delray Beach, FL) and five days per week of combined aerobic and resistance exercise.  Participants were randomized into one of four groups: active energy drink + exercise (EX-Act), energy drink only (NEX-Act), placebo + exercise (EX-PL) or placebo only (NEX-PL), and consumed their respective drink one time per day, either alone or in combination with exercise.  Participants consumed their respective drink ad libitum on the other two days per week.  Body composition was assessed using a fourcompartment model (4) at Baseline and after 12 weeks of exercise and supplementation.  Cardiovascular and strength testing were conducted within 24 hours of baseline and post-testing, and blood safety measures were also assessed after a 12-h fast.
+
+GROUP
+
+EX-Act n=6
+
+n=9 23.56 + 7.42
+
+n=7 27.86 ‡ 9.21
+
+n=5
+
+Age (yrs)
+
+METHODS
+
+Height (cm)
+
+Body Mass (kg)
+
+% BF (%)
+
+<!-- image -->
+
+| 164.22 ‡ 11.10 78.60 ‡ 9.54 39.59 + 2.78 | 164.22 ‡ 11.10 78.60 ‡ 9.54 39.59 + 2.78 | 164.22 ‡ 11.10 78.60 ‡ 9.54 39.59 + 2.78 | 164.22 ‡ 11.10 78.60 ‡ 9.54 39.59 + 2.78 | 164.22 ‡ 11.10 78.60 ‡ 9.54 39.59 + 2.78 |
+| ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- | ---------------------------------------- |
+|                                          | 163.37 ‡ 4.64&#124;                      | 73.06 ‡ 10.40 &#124; 38.49 = 3.40        |                                          |                                          |
+|                                          | 163.47 ‡ 4.31                            | 68.62 ‡ 12.90 37.56 ‡ 2.56               |                                          |                                          |
+| 28.40 ‡ 10.16                            | 169.26 ‡ 13.12                           | 79.25 ‡ 11.68 36.22 ‡ 1.52               |                                          |                                          |
+|                                          | 27.26 ‡ 8.60 &#124; 164.67 ‡ 8.13        | 74.29 ‡ 11.33 &#124; 38.07 ‡2.87         |                                          |                                          |
+|                                          | BODY COMPOSITION (4C-MODEL)              |                                          |                                          |                                          |
+
+All body composition measurements were performed on the same day following a 12-hour fast (water intake was allowed up to one hour prior to testing).  Hydration status was determined prior to all testing using specific gravity via handheld refractometry (Model CLX-1, precision = 0.001 ± 0.001, VEE GEE Scientific, Inc., Kirkland, WA) to assure proper hydration from PRE (1.022 ± 0.007) to POST (1.021 ± 0.007) measurements.  Fat mass (FM), percent body fat (%FAT) and fat-free mass (FFM) were estimated using the four-compartment (4-C) model described by Wang et al.(4)
+
+FM (kg) = 2.748(BV)-0.699(TBW) + 1.129(Mo)- 2.051(BM) %FAT = (FM/BM) x 100 FFM (kg) = BM-FM Where BV is total body volume, TBW is total body water, MO is total body bone mineral, and BM is body mass.
+
+Dual-energy X-ray absorptiometry (DXA) (software version 10.50.086, Lunar Prodigy Advanced, Madison, WI) was used to estimate total bone mineral content and total body muscle mass (MM).  Bone mineral content (BMC) was converted to Mo using the following equation: Mo = total body BMC x 1.0436.  In addition, the sum of lean soft tissue for both arms and legs (ALST), as measured by CXA, was used to estimate MM from the validated equation of Kim et al.(5).  MM = (1.13 x ALST) (0.02 x age) + [0.61 x sex (m = 0, f = 1)] + 0.97.
+
+Body volume (BD) was assessed from HW with correction for residual volume (RV). Residual volume was determined with the subject in a seated position using the oxygen dilution method of Wilmore (6) via a metabolic cart with residual volume software (True One 2400 ® , Parvo-Medics, Inc. Provo, UT.). Underwater weight was measured to the nearest 0.025kg in a submersion tank in which a PVC swing seat was suspended from a calibrated Chatillon ®  15-kg scale (Model # 1315DD-H, Largo, FL.). Previous test retest measurements of eleven men and women measured 24-48 hours apart for HW produced a SEM of 0.
+
+EX-PL
+
+NEX-Act
+
+NEX-PL
+
+N=27
+
+BODY COMPOSITION CALCULATION
+
+CARDIOVASCULAR TESTING
+
+EXERCISE PROTOCOL
+
+A deuterium oxide (D2O) tracer was used as the criterion method to estimate TBW. Prior to D2O ingestion, urine samples were collected from all subjects.  After voiding the bladder completely, subjects ingested ≈ 11 grams of D2O along with a 100 ml rinse of deionized water.  After a four hour equilibration period restricting defecation, urination and food and water ingestions, subjects were instructed to provide a post-urine sample.  Within 30 minutes of collection, all urine samples were pipette into cryogenic vials and stored at -80˚C for later analysis . All urinediluted samples were measured in triplicate at an independent laboratory (Metabolic Solutions, Inc., Nashua, NH) using an isotope-ratio mass spectrometer, and the isotope abundances in the urine were calculated as previously reported by Wong et al. (7) TBW was then calculated from the dilution of isotopic water and corrected for the exchange of deuterium with non-aqueous tissue (7).  Reliability measurements from 11 men and women for D2O in one urine sample measured in triplicate resulted in a SEM value of 0.33L.
+
+Body fat was estimated using the four-compartment model (4C) of Wang et al. (4) using the following equation:
+
+FM (kg) = 2.748(BV)-0.699(TBW) + 1.129(Mo)- 2.051(BM) %FAT = (FM/BM) x 100 FFM (kg) = BM-FM Where BV is total body volume, TBW is total body water, MO is total body bone mineral, and BM is body mass.
+
+Described by Rossiter et al. (8), using a Corival 906900 (Lode B.V. Medical Technology, Groningen, The Netherlands) upright cycle ergometer participants were instructed to pedal at a cadence of 60-80 RPMs, with resistance beginning at 20 Watts (W) and increasing in 20W/min (1W/3sec) until volitional fatigue or until participants could no longer maintain &gt;50 RPMs, despite strong verbal encouragement. Respiratory gases were monitored and continuously analyzed with open-circuit spirometry to calculate minute ventilation (VE), oxygen consumption rate (VO2), carbon dioxide expiration rate (VCO2), ventilatory threshold (VT) and respiratory exchange ratio (RER) using a metabolic cart and manufacturer's software (True One 2400 ® , Parvo-Medics, Inc., Provo, UT).  The data were averaged over 15-second intervals, with the highest 15-second VO2 value recorded as the peak oxygen uptake (VO2peak). Prior to testing, flow rate, O2 and CO2 analyzers were calibrated following the manufacturer's recommendations.
+
+The exercise program was designed using the American College of Sports Medicine (ACSM) recommended guidelines for apparently healthy adults; all participants were supervised by a certified trainer. Progressive endurance training, on cycle ergometers, was performed three days per week (Table 2). Resistance training was performed two days per week, providing at least 24 hours recovery between sessions.  Participants completed nine isotonic exercises incorporating both singlejoint and multi-joint exercises. Each exercise was performed once per session, with participants completing 8-12 repetitions per exercise, until volitional fatigue. Weight was increased when participants performed &gt;10 repetitions, at the same resistance, during two consecutive lifting sessions.
+
+| Table 2                  | Table 2                  | Table 2                  |
+| ------------------------ | ------------------------ | ------------------------ |
+| Week                     | Duration (min)           | %HRR                     |
+| 1                        | 15 - 20                  | 40 - 50                  |
+| 2                        | 20 -25                   | 40 - 50                  |
+| 3                        | 25 - 30                  | 50 -60                   |
+| 4                        | 25 - 30                  | 50 -60                   |
+| 5                        | 25 - 30                  | 60 - 70                  |
+| 6                        | 25 - 30                  | 60 - 70                  |
+| 7                        | 25 - 30                  | 60 - 70                  |
+| 8                        | 30 - 35                  | 60 - 70                  |
+| 9                        | 30 - 35                  | 60 - 70                  |
+| 10                       | 30 - 35                  | 60 - 70                  |
+| HRR = Heart rate reserve | HRR = Heart rate reserve | HRR = Heart rate reserve |
+
+ginger root extract).
+
+THERMOGENIC DRINK PROTOCOL
+
+Supplement Facts
+
+Serving Size 12 fl. oz
+
+Servings per Container 1
+
+Amount per serving
+
+Calories
+
+Total Carbohydrates
+
+Sugar
+
+Riboflavin
+
+Biotin
+
+Pantothenic Acid
+
+Sodium
+
+MetaPlus™
+
+Taurine
+
+Guarana extract (seed)
+
+Green Tea leaf extract (leaf)
+
+standardized to 10% EGCG
+
+Caffeine (as caffeine anhydrous)
+
+Giucuronolactone
+
+Ginger extract (root)
+
+†Percent Daily Values are based on a 2,000 calorie diet.
+
+\*\*Daily Value (DV) not established.
+
+Other Ingredients: Filtered Water, Natural Colors,
+
+Natural Flavors, Citric Acid, Sucralose
+
+Contains: 200 mg total caffeine per serving
+
+Not recommended for people that are caffeine sensitive, children under 12, or women pregnant or nursing.
+
+10
+
+All participants were instructed to consume one drink per day, for a total of 70 consecutive days (10 weeks). During exercise days, participants reported to the training facility and consumed one drink prior to exercise; initiating exercise 15 minutes after consumption. On non-exercise days, time of day for consuming the beverage was left to the subject's discretion. Figure 1 provides the supplement facts panel for the beverage (Celsius ® , Celsius Inc., Delray Beach, FL) consumed by participants in CEX. Participants in PLX consumed an identically canned and labeled placebo beverage that yielded an identical supplement facts profile, minus the 'Celsius ®  Thermogenic Blend' (taurine, guarana seed extract, green tea leaf extract standardized to 10% EGCG, caffeine as caffeine anhydrous, glucuronolactone and ginger root extract). &lt;1%
+
+<!-- image -->
+
+%DVt
+
+5
+
+4
+
+3
+
+-1
+
+-2
+
+-3
+
+Change (kg)
+
+4
+
+3
+
+%BodyFat
+
+FatMass
+
+<!-- image -->
+
+RESULTS
+
+% Change kg Change
+
+0
+
+-0.5
+
+-1
+
+-1.5
+
+-2
+
+-2.5
+
+2
+
+1.5 -
+
+1
+
+0.5
+
+0
+
+-0.5
+
+-1
+
+EX-Act
+
+BF Change
+
+EX-PL
+
+NEX-Act
+
+NEX-PL
+
+<!-- image -->
+
+Using a two-way repeated measures ANOVA, significant time\*treatment interactions resulted for  muscle mass (p&lt;0.05). 100% of the subjects in the Act supplementing group increased Muscle mass, while 45% of the EX-PL group and 20% of the individuals in the NEX-PL group increased in muscle mass.  Although the decrease in %BF was not significant, 50% of the Ex-Act group saw a decrease (MD 1.8%), 22% in the Ex-PL, 20% in the NEX-PL and no one in the NEX-Act.
+
+Time (seconds)
+
+140
+
+120
+
+100
+
+80
+
+60
+
+40
+
+20
+
+0
+
+-20
+
+Change in VO, TTE
+
+<!-- image -->
+
+Changes in fasting lipid concentrations from PRE to POST
+
+Total Cholesterol (mg/dL)
+
+EX-Act
+
+PRE
+
+POST
+
+211.33 ‡ 30.22 200.33 ‡ 27.37\*
+
+<!-- image -->
+
+HDL (mg/dL)
+
+LDL (mg/dL)
+
+VLDL (mg/dL)
+
+Triglycerides (mg/dL)
+
+ronh o |
+
+Strength and cardiovascular improvements were significantly  (p&lt;0.05) augmented in both training groups.  However, a significant time\*treatment interaction resulted for time to exhaustion during the VO2peak (p=0.046)
+
+Safety data suggest this thermogenic drink as an effective  method for lowering TC and LDL (main effect for treatment).
+
+REFERENCES
+
+CONCLUSIONS
+
+The current data suggest that the ACSM exercise program guidelines provide an effective measure for improving cardiovascular fitness, strength and modifying body composition.  Individual data demonstrate support for implementing a single serving thermogenic drink prior to exercise, to improve muscle mass, decrease fat mass and improve lipid profiles of overweight women, compared to exercise alone. Additionally, our data suggest that consuming a single serving of Celsius ®  prior to working out may enhance the positive adaptations of chronic exercise on body composition and cardiorespiratory fitness and endurance performance in previously sedentary overweight women.
+
+1. Dalbo VJ, Roberts MD, Stout JR, Kerksick CM: Acute effects of ingesting a commercial thermogenic drink on changes in energy expenditure and markers of lipolysis. J Int Soc Sports Nutr 2008, 5: 6. 2.Roberts MD, Dalbo VJ, Hassell SE, Stout JR, Kerksick CM. Efficacy and safety of a popular thermogenic drink after 28 days of ingestion . J Int Soc Sports Nutr 2008, 5 :19. 3.Lockwood CM, Moon JM, Smith AE, Tokin SE, Kendall KL, Graef JL, Cramer JT, Stout JR. Low­calorie energy drink improves physiological response to exercise in previously sedentary men: a placebo­controlled efficacy and safety study. J Strength Cond Res . (In press). 7.Wang Z, Pi-Sunyer FX, Kotler DP, Wielopolski L, Withers RT, Pierson RN, Jr., Heymsfield SB: Multicomponent methods: evaluation of new and traditional soft tissue mineral models by in vivo neutron activation analysis. Am J Clin Nutr 2002, 76: 968-974. 8.Kim J, Wang Z, Heymsfield SB, Baumgartner RN, Gallagher D. Total­body skeletal muscle mass: estimation by a new dual­energy X­ray absorptiometry method. Am J Clin Nutr. 2002;76(2):378-383. 9.Wilmore JH, Vodak PA, Parr RB, Girandola RN, Billing JE: Further simplification of a method for determination of residual lung volume. Med Sci Sports Exerc 1980, 12: 216-218. 10.Schoeller DA, van Santen E, Peterson DW, Dietz W, Jaspan J, Klein PD. Total body water measurement in humans with 18O and 2H labeled water. Am J Clin Nutr. 1980;33(12):2686-2693. 11.Rossiter HB, Kowalchuk JM, Whipp BJ: A test to establish maximum O2 uptake despite no plateau in the O2 uptake response to ramp incremental exercise. J Appl Physiol 2006, 100: 764-770.

tools/benchmark-harness/vendored/docling/md/nougat_036.md

@@ -0,0 +1,149 @@
+<!-- image -->
+
+## Order Acceptance
+
+Clear-Vu Lighting (CVL) offers to sell and deliver lighting products accordance with the terms and conditions set forth herein. Acceptance of this offer is expressly limited to such terms. CVL hereby objects to and rejects any additional or alternative terms proposed by Buyer, including those contained in Buyer's purchase order, unless CVL expressly agrees to such terms in writing. All orders are subject to credit approval and acceptance by CVL. Credit availability is granted at the discretion of CVL. We reserve the right to refuse to manufacture any item that is not in stock, or in the event that the order is too small to run on a production basis.
+
+in
+
+Under no circumstances will CVL accept any purchase orders that include possible penalties of any type; including, but not limited to: Late deliveries, damage in transit, incomplete orders, or orders requested with specific brand and model components unless expressly agreed to in writing on our order quote or confirmation. We reserve the right to substitute equivalent functioning component parts as needed.
+
+## Pricing
+
+Prices and specifications are subject to change without notice. If the prices of fuels, metals, raw materials, equipment or other production costs increase significantly, CVL shall have the right, and Buyer shall have the obligation to renegotiate the price of all products not yet shipped. If an agreement is not reached, CVL reserves the right to terminate any unshipped orders without liability.
+
+## Tariffs
+
+The U.S. Government has been imposing tariffs on certain imported parts and materials. As notice is typically 'short term', prices may be adjusted to reflect the additional costs associated to the component parts affected by these tariffs. We will notify the customer in the event that price adjustments are required, and customer may cancel the order if additional costs are declined.
+
+## Quotations, Data Sheets and Specifications
+
+Prices are firm for thirty (30) days unless otherwise specified. All quotes on equals substituted by CVL require customer approval after submittal of cuts. We cannot guarantee approval. CVL is not responsible for misinterpretation. Specifications and dimensions of all products are subject to normal manufacturing tolerances and may change without prior notice. Fixture design and specification sheets may be updated and/or modified as necessary and it is the Buyer's responsibility to obtain from CVL and verify the latest catalog sheets to confirm dimensions, mounting details, knockouts, holes etc... CVL will not be responsible for any costs associated with non-conformity to outdated published material, including that obtained from CVL's website. Website listings and specification sheets are merely indicative of what we offer for sale. This does not necessarily mean that all items are carried in stock.
+
+## Lamps, Tubes and Mounting Hardware
+
+included order.
+
+the
+
+Lamps, LED tubes, mounting hardware and accessories are not in pricing unless specifically listed as included on specification sheet in effect at time of order, or indicated on quotation and accepted purchase
+
+## Hold Orders
+
+Parts for orders marked 'Hold for Release' or 'Hold for Shipping Date' will not be manufactured or components purchased until firm release date is provided. We reserve the right to renegotiate pricing at time of release if release extends beyond the stipulated time on our quotation and/or acknowledgement.
+
+## Cancellations
+
+As most items are built to order, cancellations will only be accepted if parts have not been specifically purchased or produced. Cancellation charges, vendor restock fees, and any costs to return purchased parts to our vendors will be assessed as applicable. If production has commenced, we reserve the right to assess fees to cover work completed and costs to dismantle and restock the parts. If an order is canceled after shipment or refused at destination, restocking charges of up to 100% of warehousing fees, delivery and return costs will be charged to the customer.
+
+## Terms and Conditions of Sale
+
+## Lead Times
+
+Lead times are estimates based on material availability and schedule at time of quotation and are subject to change quotation and date order is actually placed and released. While we to meet estimated due dates or quoted lead times, many components come from global sources and domestic vendors and delays occasionally occur. CVL will not be liable for any consequential damages, penalties or express freight charges due to delays.
+
+## Terms of Payment
+
+If CVL extends credit to Buyer, payment terms shall be net thirty (30) days from date of invoice, unless otherwise stated on quotation. CVL may change withdraw credit amounts or payment terms at any time for any reason. If the products are delivered in installments, Buyer shall pay for each installment in accordance with the above payment terms. No discounts of any kind will be accepted on any shipping charges or additional surcharges as assessed by the trucking companies.
+
+producti between
+
+strive or
+
+If Buyer fails to make any payment when due, CVL reserves the right to suspend or cancel performance under any agreements in which CVL has extended credit to Buyer. Suspension of performance may result in rescheduling delays. If, in CVL's judgement, Buyer's financial condition does not justify the payment terms specified herein, CVL reserves the right to terminate the sales contract unless Buyer immediately pays for all products that have been delivered and pays in advance for all products to be delivered. Termination in accordance with this clause shall not affect CVL's right to pursue any other available remedies including but not limited to collection agencies, attorney fees, and associated expenses.
+
+No deductions from invoices will be allowed without authorization, in writing, from CVL maintains the right to charge a 1.5% per month service charge on all past due balances, as well as reasonable collection costs and fees, including but not limited to attorney, filing fees, and other associated costs of collection. The laws of the STATE OF NEW YORK shall be applicable to all suits arising between CVL and the Buyer, and in the event of litigation, the venue will be Suffolk County, New York.
+
+CVL does not allow discounts on credit card payments.
+
+## Advance Deposit Payments
+
+Any advance payments for orders shipped in installments will be applied to the final shipment(s) only.
+
+## Freight
+
+All prices F.O.B. factory - Central Islip, New York unless otherwise stated on CVL issued order quotation or acknowledgement. Any orders quoted with pre-paid freight charges must be ordered in no less than quoted quantities and destination. Please contact your local CVL sales agent or the factory for terms and order value requirements. Certain items including but not limited to replacement parts and lamps are excluded from any freight policy.
+
+## Additional freight charges
+
+Certain destinations such as residential, schools, colleges and universities, rural locations and others may require the use of special delivery equipment including but not limited to smaller size trucks, trucks equipped with lift gates, delivery sites requiring appointments or special delivery times. Carriers may impose additional charges for redelivery, refused shipments, reconsignment, incorrect or incomplete delivery address supplied to CVL, storage, and carrier shipment audits due to irregular size pallets or dimensional weight. These charges will be invoiced by CVL to the Buyer. Please notify your CVL representative of any known delivery requirements at time of quotation or order placement.
+
+packagin
+
+Normal transportation costs will be prepaid and added to invoic unless otherwise stated on purchase order. Customer orders requesting specific carriers or collect or third party billing must clearly state these requirements on each purchase order. Orders requiring special or custom packaging including but not limited to special size pallets, double boxi crating or other special requirements may incur additional charges.
+
+Important note: Shipping companies are starting to charges based on 'dimensional weight' and not only actual weight. Irregular or oversized pallets which reduce their capacity yield may incur charges which may be invoiced after receipt. At times, carriers repack or restack pallets for better space utilization. CVL assume responsibility for damage in shipping based on improper handling.
+
+asse additio
+
+may ca
+
+carrier
+
+## Inspection Upon Receipt
+
+For shipments using prepaid freight from CVL : Title to the material transfers to the destination recipient upon carrier pickup. Every palletized shipment made by CVL is photographed prior to being loaded. Every pallet is clearly labeled with receiver inspection instructions which state that ANY signs of damage or mishandling MUST be noted on the carrier's bill of lading PRIOR to the truck driver's departure from the premises. The label also provides our email address to send photos of any damage to. Merely signing and stating 'subject to inspection' is not sufficient and subsequent claims will not be honored. CVL may assist in the filing of freight claims and in no way can accept any responsibility for damages. Carrier liability will ONLY cover damage that is clearly stated and signed for as such on the carrier bill of lading at the time of delivery. Any concealed damage must be reported to CVL within 24 hours of delivery. DO NOT DISPOSE OF ANY DAMAGED GOODS UNTIL INSTRUCTED TO DO SO BY CVL . Failure to follow these instructions will forfeit any rights to claim for damage through the carrier of CVL .
+
+Any delivery receipts signed for with no damages or shortages noted on the bill of lading prior to driver leaving the premises are deemed to be accepted by the recipient as free and clear of any carrier liability or claims.
+
+Reshipment for material signed for as damaged at time of delivery: We will make every effort to ship replacement material in a timely manner but cannot guarantee immediate availability or incur any expedited freight charges whatsoever.
+
+For shipments using customer specified carrier: Any and all claims must be filed directly with the carrier. CVL accepts no responsibility for damage or shortages using any customer specified or third party carriers.
+
+Recipient must verify count at time of delivery prior to signing delivery receipt. Any claims for shortage MUST be noted on the carrier's bill of lading.
+
+Small parcel shipments sent via UPS, FedEX or similar services may include additional packaging or handling charges in addition to the actual shipping cost. Any items received as damaged should be signed for as such. These terms also apply to shipments made on customer's shipping account.
+
+Routing is at the discretion of CVL . If customer will assume any additional charges, CVL will ship in the manner selected by the customer. Fuel or other carrier assessed surcharges added by the carrier will be passed on to the purchaser and are not subject to any freight policy. Fuel and shipping surcharges are to be paid NET and are not discountable for any reason. CVL is not responsible for the duties and taxes on items shipped out of the United States. The duties, taxes and Custom fees are the sole responsibility of the intended consignee. Orders shipped out of the United States may take an additional amount of time for delivery due to Customs clearance. All shipments that incur storage charges due to delays in providing the freight carrier with the necessary information and contact information necessary to clear Customs are the responsibility of the consignee. Unauthorized deductions will be charged back to the consignee.
+
+CVL will not be liable for ANY penalties or charge backs resulting from delayed shipments regardless of cause.
+
+This 8.5' x 11' label is on EVERY palletized shipment from CVL .
+
+<!-- image -->
+
+## Errors, Omissions and Style Changes
+
+All catalog and illustrative material from CVL has been carefully proofread. We assume no responsibility if an error or an omission does occur. In the event that a style is changed, or it becomes necessary to use parts or materials other than shown on the respective catalog data sheet, we reserve the right to ship the item closest to the original designation.
+
+## Field Service and Repair
+
+Our standard warranty terms specifically exclude any and all charges for labor. However, if we elect to provide field inspection or repair, it will be done strictly as a courtesy and convenience to the end user. It is the facility's responsibility to identify specific products and locations of products claimed defective, provide safe accessibility to the lighting equipment (including providing any ladders, scaffolds, or other necessary equipment) as well as provide adequate protection to prevent damage to the building or its interior, obtain union or other cooperation regarding free access to the site for field service personnel and turn power on and off as required. Any field service work will be performed only during normal weekday working hours. CVL reserves the right to supply non-union labor as necessary to provide any warranty related repairs. CVL will not be responsible for any costs incurred in providing access to the lighting equipment. Our performance of any services is in no way an extension of our liability beyond our Terms and Conditions of Sale and Limited Warranty contained herein.
+
+## Return Goods
+
+No merchandise may be returned without prior authorization and will be refused at loading dock if the Return Goods Authorization (RGA) Number is not clearly marked on the outside of the carton(s). An RGA Number is valid for thirty (30) days only. Material must be shipped prepaid. Refunds will be issued in the form of credit toward future purchases at CVL only. No refund checks will be issued. Material must be received by CVL in good condition, within three (3) months of original invoice date. There will be a deduction for freight out and the return is subject to a minimum 25% restocking fee as well as a reconditioning charge if necessary and/or applicable. Special finishes or custom orders may NOT be returned. Fixtures returned for repair, replacement or credit will not be accepted if they are defaced in any way (ie: permanent marker, ink or any other similar means). Defective units should be labeled with tape or other easily removable tag.
+
+These terms and warranty may be modified at any time without notice and such modification will only be effective to any products purchased after the modification effective date. CVL L ED assumes no responsibility for misapplication of fixtures.
+
+CVL warrants its commercial lighting fixtures containing light emitting diodes (LED) to be free from defects in materials and workmanship for a period of five (5) years from date of shipment from factory unless otherwise noted on individual specification sheets and/or other CVL published documents, subject to latest applicable revision date. LED modules and boards will be considered defective in material or workmanship only if a total of 15% or more of the individual LEDs fail to illuminate on any one board or module. All lighting products are intended to be installed by qualified licensed electricians.
+
+The warranty specifically excludes the following: Any defects or failures caused by improper installation; physical damage of any kind; water damage in fixtures labeled for dry or damp location; damage due to water submersion or high pressure wash-down outside the scope of specific fixture IP rating; damage due to cleaning materials, harsh chemicals or reactive cleaning agents; damage from exposure to Chlorine, Bromine or other hazardous chemicals or gases; insect or animal damage; vandalism; induced vibration; smoke or fire; acts of nature; faulty wire connections, reversed polarity, improper grounding, connection to supply voltage other than listed on product label, input voltage out of tolerance (-10%/+5%), voltage spikes, dips or surges; excessive switching; electrical or physical damage attributable to lightning strike; exposure to excessive ambient temperatures outside the recommended operating range (electrical components have operating temperature limits, consult factory for specific model suitability where ambient temperatures will exceed 25˚C/77˚F or lower than 0˚C/32˚F); (units with emergency battery packs should not be installed where ambient temperature is below 0˚C/32˚F) the use of any insulation within 3' of recessed fixtures, unless fixture is specifically labeled 'type IC'; fault, negligence or unauthorized modifications or change of original wiring or components; damage caused by any third party parts or controls; failure to comply with applicable codes or standards.
+
+It is up to the end user to confirm suitability for a specific application. Please consult factory if fixtures are to be mounted in areas outside the ambient temperature ranges stated above. Some fixtures are intended for suspended mounting only to assure proper operation. Failures due to misapplication of product are not covered under any warranty. For any covered failures under this warranty, CVL , at its sole discretion, will repair or provide replacement of the product or defective part(s) with positively no labor or equipment allowance unless specifically authorized in writing by CVL before work is begun. This statement does not imply that labor or equipment allowance will be considered or authorized. Charge backs or deductions for unauthorized repairs will not be accepted.
+
+This warranty applies only to the original end user installation location and may not be transferred. Warranty claims must be made within 15 days of discovery of defect or failure to an authorized CVL representative who will submit claim to factory. Parts returns will not be accepted without prior authorization and Return Goods Authorization (RGA) Number issued by CVL will not be responsible for the costs or expenses associated with the return of product(s) to the factory. CVL or its Vendors will bear the cost for return shipment of replacement parts to the customer.
+
+Special note pertaining to plastic parts: Environmental conditions may affect certain plastics used as diffusers in lighting fixtures and these parts are not warranted against yellowing or deterioration which may occur over time due to normal product aging or exposure to certain chemicals, vapors and airborne contaminants that can cause damage such as cracking, crazing, deterioration or mechanical failure. It is up to the end user to determine suitability for materials in the final end use. A list of acceptable and unacceptable environmental chemical materials is available upon request or at www. clearvulighting .com under the technical help tab or visit: https:// bit.ly/2YYhXSX.
+
+CVL will not be liable for any consequential, incidental indirect or punitive damages or charges even if informed of the possibility of such damages, whether as the result of breach of contract, warranty, tort (including negligence), loss of time, revenue, profit, productivity, downtime or any other charges including but not limited to: labor, equipment rental, downtime cost, use of property, loss of business or any inconvenience arising out of any failure or breach of the warranty or obligations under such warranty. CVL makes no claims or warranty with regard to minimum useful life or performance of any material or product past the product's stated limited warranty.
+
+These terms and warranty may be modified at any time without notice and such modification will only be effective to any products purchased after the modification effective date. CVL L ED assumes no responsibility for misapplication of fixtures.
+
+All lighting products are intended to be installed by qualified licensed electricians .
+
+## Fluorescent
+
+All fluorescent equipment is warranted for a period of one year. The warranty specifically excludes the following: Any defects or failures caused by improper installation; physical damage of any kind; water damage in fixtures labeled for dry or damp location; damage due to water submersion or high pressure wash-down outside the scope of specific fixture IP rating; damage due to cleaning materials, harsh chemicals or reactive cleaning agents; damage from exposure to Chlorine, Bromine or other hazardous chemicals or gases; insect or animal damage; vandalism; induced vibration; smoke or fire; acts of nature; faulty wire connections, reversed polarity, improper grounding, connection to supply voltage other than listed on product label, input voltage out of tolerance (-10%/+5%), voltage spikes, dips or surges; excessive switching; electrical or physical damage attributable to lightning strike; exposure to excessive ambient temperatures outside the recommended operating range (electric components have operating temperature limits, consult factory for specific model suitability where ambient temperatures will exceed 25˚C/77˚F or lower than 0˚C/32˚F); the use of any insulation within 3' of recessed fixtures, unless fixture is specifically labeled 'type IC'; fault, negligence or unauthorized modifications or change of original wiring or components; damage caused by any third party parts or controls; failure to comply with applicable codes or standards.
+
+Warranty excludes physical damage to all lenses, diffusers and louvers. A replacement part will be furnished in exchange for any part in a fixture, excluding lamps, which under normal use and service proves defective within one year after purchase. All lighting fixtures should be inspected prior to installation.
+
+It is up to the end user to confirm suitability for a specific application. Please consult factory if fixtures are to be mounted in areas of extreme high or low ambient temperatures. Some fixtures are intended for suspended mounting only to ensure proper operation. Failures due to misapplication of product are not covered under any warranty. For any covered failures under this warranty, CVL , at its sole discretion will repair or provide replacement of the product or defective part(s) with positively no labor or equipment allowance unless specifically authorized in writing by CVL before work is begun. This statement does not imply that labor or equipment allowance will be considered or authorized. Charge backs or deductions for unauthorized repairs will not be accepted.
+
+This warranty applies only to the original end user installation location and may not be transferred. Warranty claims must be made within 15 days of discovery of defect or failure to an authorized CVL Lighting representative who will submit claim to factory. Parts will not be accepted without prior authorization and Return Authorization Number issued by CVL will not be responsible for the costs or expenses associated with the return of product(s) to the factory. CVL or its Vendors will bear the cost for return shipment of replacement parts to the customer. Special note pertaining to plastic parts: Environmental conditions may affect certain plastics used as diffusers in lighting fixtures and these parts are not warranted against yellowing or deterioration which may occur over time due to normal product aging or exposure to certain chemicals, vapors and airborne contaminants that can cause damage such as cracking, crazing, deterioration or mechanical failure. It is up to the end user to determine suitability for materials in the final end use. A list of acceptable and unacceptable environmental chemical materials is available upon request. CVL will not be liable for any consequential, incidental indirect or punitive damages or charges even if informed of the possibility of such damages, whether as the result of breach of contract, warranty, tort (including negligence), loss of time, revenue, profit, productivity, downtime or any other charges including but not limited to: labor, equipment rental, downtime cost, use of property, loss of business or any inconvenience arising out of any failure or breach of the warranty or obligations under such warranty. CVL makes no claims or warranty with regard to minimum useful life or performance of any material or product past the product's stated limited warranty.
+
+## Driver and Ballast Warranty
+
+The ballasts and drivers used by our Company are those of recognized manufacturers and are warranted by their respective manufacturer only. Orders calling for specific brand names or models of ballasts or drivers will be handled on a quotation basis only. Any claims for defects in ballasts or drivers occurring outside of CVL' s limited warranty period should be directed to the respective ballast or driver manufacturer. Copies of manufacturer's warranties are available upon request. In no event shall CVL accept any charge backs or labor invoices without express written consent from the factory prior to any work being performed. Should there be a ballast or driver failure within CVL 's warranty period, advise CVL immediately and we will notify the ballast or driver manufacturer of the difficulty. They in turn will notify you as to disposition of this problem. Do not proceed with repairs until authorization is received from the ballast or driver manufacturer.
+
+All of our drivers and ballasts are labeled by us. Parts returned for replacement without CVL label will not be accepted. Wire leads on returned parts MUST be a minimum of six inches (6') long for testing. Drivers or ballasts with wire leads cut shorter than six inches (6') will not be accepted for warranty replacement. We will only accept defective ballasts or drivers for exchange within the CVL warranty period (1 year for fluorescent, 5 years for LED) from date of shipment from our factory.

tools/benchmark-harness/vendored/docling/md/nougat_037.md

@@ -0,0 +1,47 @@
+cycling projects
+
+Cycling Projects - Wheelsfor All Thenationalindusive cycling charity
+
+11/13 Wilson Patten Street, Warrington WA1 1PG.
+
+<!-- image -->
+
+## Help us scale our organisation
+
+## We are recruiting a number of voluntary positions to join our Board of Trustees
+
+Celebrating our 30th year, we are an expanding national cycling charity which promotes inclusive cycling through a range of successful community engagement programmes that give people the opportunity to cycle on a regular basis; through help, support and guidance.
+
+We do this through the provision of over 50 'Wheels for All' cycling hubs which provide safe access to adapted cycles as well as trained support alongside the Pedal Away programme enabling people to ride on two wheels regardless of age, ability or experience.
+
+Our ambition is to both increase the number of adapted cycle and Pedal Away programmes across the UK whilst refining our service offering to those hubs, extending their reach in to different communities and improving their sustainability.
+
+We are seeking candidates who are experienced and willing to take a hands-on approach to fill three Board positions in the areas of:
+
+1. Treasurer, ACA qualified preferably with Governance/Legal knowledge of Charities
+2. Safeguarding, preferably with knowledge of HR, Equality and Diversity
+3. Volunteering or who currently uses our services or similar
+
+## As a Trustee you will
+
+-  Receive induction, training and reimbursable expenses
+-  Have the opportunity to drive the scaling of our charity
+-  Develop new skills and networks
+-  Improve the health and wellbeing of people and communities
+
+The expected time commitment is 8 evening Board meetings a year either in person in Warrington, Cheshire or via a media link, and some additional hours per month on special projects in line with your skills.
+
+An application form can be downloaded from the Cycling Projects website (link to add) along with:
+
+- Charity Commission Declaration form
+- HMRC Fit and Proper Persons Declaration
+
+A completed application form (including details of referees), CV and accompanying declaration documents should be returned by email to <Trustees@Cycling.org.uk>
+
+Deadline for applications:
+
+## 28/05/21
+
+Thank you for taking the time to complete this application.
+
+Cycling Projects is committed to protecting and respecting the personal data that we hold.

tools/benchmark-harness/vendored/docling/md/nougat_038.md

@@ -0,0 +1,109 @@
+sea view vila
+
+## Sea View Vila
+
+кет: 114/01/AL
+
+<!-- image -->
+
+## Ref: 114761/AL
+
+<!-- image -->
+
+Bedrooms:
+
+2
+
+Bathrooms:
+
+2
+
+Ref:
+
+114761/AL
+
+Condition:
+
+Used
+
+Type
+
+For Rent
+
+Area:
+
+Beach
+
+View:
+
+Sea view
+
+<!-- image -->
+
+<!-- image -->
+
+## 2 bedroom and 2 bathroom charming vila with sea views, private swimming pool
+
+This charming one storey end terrace house, completely renovated and decorated in an elegant style. BBQ and large sun terrace area, private swimming pool and with views of the sea, free wi-fi in a quiet location but only a few minutes walk from various amenities such as restaurants, mini market, diving centre, Lido swimming sea area where you can do diving or snorkling.
+
+This area offers a variety of activities where you can explore the mountains , enjoy water sports or just relax by the pool. Caniço de Baixo has also a variety of restaurants where you can enjoy the Portuguese and international cuisine, have fresh fish from the Atlantic waters and all delicious types of food.
+
+No car is required, excellent bus services to Funchal City only a few minutes walk from the villa.
+
+Airport transfers and sight seeing tours can be organised.
+
+## Location of the property
+
+By the sea
+
+## Distances
+
+Restaurant - 1kmm Bus stop - 1kmm Swimming Pool - 5mm Shops - 2kmm Rocky beach - 2kmm
+
+## Exterior
+
+Parking Private pool
+
+## Interior
+
+Non smokers
+
+## Equipment
+
+Outdoor furniture
+
+## Bathroom
+
+Bath with Shower Toilet Hairdryer
+
+## Bedroom
+
+King Size Bed - 2
+
+## Living Room
+
+Dining Table and Chairs Wi-Fi Internet Coffee Table Cable TV Internet TV
+
+SatelitteTV
+
+## Kitchen
+
+Dishwasher Washing Machine Oven Kettle Toaster Freezer Microwave Coffee Machine Stovetop Electric Cooker Iron / Iron board Fitted Kitchen Stove Cooker
+
+## Country
+
+Portugal
+
+## Region
+
+Madeira
+
+## City
+
+Caniço
+
+## Coordinates
+
+Latitude 32.641931617298546 Longitude -16.834424044936895
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_039.md

@@ -0,0 +1,112 @@
+Mailina address
+
+NOTTION SOND
+
+Tast Name
+
+Dhano Mumhor
+
+Hiah School Attended
+
+LEANDER
+
+<!-- image -->
+
+First Name
+
+Middle Name (or
+
+Zio Code
+
+Date of Rirth
+
+Email Addrocc
+
+Gender ( M/F)
+
+US Citizen
+
+## Scholarship Application Norton Moses Masonic Lodge, #336 $1000 Scholarship Award
+
+Last Name
+
+First Name
+
+Middle Name (or Initial)
+
+Mailing address
+
+City
+
+Zip Code
+
+Phone Number
+
+Date of Birth
+
+Email Address
+
+High School Attended
+
+Gender ( M/F)
+
+US Citizen
+
+## Eligibility and Requirements
+
+1. Be a graduating senior from any LISD High School
+2. Complete and sign this form, including signature of H.S. Counselor or Principal
+3. Attach a copy of your High School transcript to this application
+4. Attach a double spaced, 750-word essay on the
+5. following selected topic:a. The Contributions of Freemasonry in Texas History
+6. I hereby grant permission for my essay to be used in Masonic publications
+7. I hereby authorize Leander ISD to make available to Norton Moses Lodge Scholarship committee information concerning my academic records
+
+## Counselor or Principal's Certification
+
+I hereby certify that the academic information and summary of school activities as submitted are true and correct to the best of my knowledge
+
+## Applicant's Certification
+
+I hereby certify that the academic information and summary of school activities as submitted are true and correct to the best of my knowledge. I understand that submitting false information will automatically disqualify me from consideration for a scholarship.
+
+Counselor or Principal Signature and Date
+
+Student Applicant Signature and Date
+
+Name of College or University in order of
+
+Date
+
+Norton Moses Masonic Lodge Scholarship Committee PO Box 586 Leander TX 78646
+
+Date
+
+Citv
+
+| preference | Applied | Accepted |
+| ---------- | ------- | -------- |
+
+High School Sponsored Activities (Clubs, Athletics, Band, JROTC, Etc)
+
+| Name | Yr 09 | Yr 10 | Yr 11 | Yr 12 | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned | Description of how honor was earned |
+| ---- | ----- | ----- | ----- | ----- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- | ----------------------------------- |
+
+Academic Honors or Other Achievements
+
+| Name | Yr 09 | Yr 10 | Yr 11 | Yr 12 | Description of how honor was earned |
+| ---- | ----- | ----- | ----- | ----- | ----------------------------------- |
+
+Employment
+
+| Name | Yr 09 | Yr 10 | Yr 11 | Yr 12 | Average Hours per Week/per Year | Average Hours per Week/per Year | Average Hours per Week/per Year | Average Hours per Week/per Year | Average Hours per Week/per Year | Average Hours per Week/per Year |
+| ---- | ----- | ----- | ----- | ----- | ------------------------------- | ------------------------------- | ------------------------------- | ------------------------------- | ------------------------------- | ------------------------------- |
+
+Community Activities
+
+| Scouts, DeMolay, Rainbow Religious Etc. | Yr 09 | Yr 10 | Yr 11 | Yr 12 | Average Hours per Week/per Year |
+| --------------------------------------- | ----- | ----- | ----- | ----- | ------------------------------- |
+
+Scholarship Application Deadline is April 15 th 2020
+
+Norton Moses Masonic Lodge Scholarship Committee PO Box 586 Leander TX 78646

tools/benchmark-harness/vendored/docling/md/nougat_040.md

@@ -0,0 +1,280 @@
+## Differentially Private Set Union: Supplementary Materials
+
+## Sivakanth Gopi 1 Pankaj Gulhane 1 Janardhan Kulkarni 1 Judy Hanwen Shen 1 2 Milad Shokouhi 1 Sergey Yekhanin 1
+
+## A. Proofs of Policy Algorithms (Theorems 3.1 and 4.1)
+
+Let D denote the collection of all databases. We say that D,D ′ ∈ D are neighboring databases, denoted by D ∼ D ′ , if they differ in exactly one user.
+
+Definition A.1. For p ≥ 0 , the glyph[lscript] p -sensitivity of f : D → R k is defined as sup D ∼ D ′ ‖ f ( D ) -f ( D ′ ) ‖ glyph[lscript] p where the supremum is over all neighboring databases D,D ′ .
+
+The noise that we add is sampled either from Laplace or Gaussian ( Normal ) distribution. The probability density functions of these distributions are given by:
+
+<!-- formula-not-decoded -->
+
+We will need the following standard DP mechanisms.
+
+Proposition A.1 (The Laplace Mechanism (Dwork et al., 2006)) . Suppose f : D → R k is a function with glyph[lscript] 1 sensitivity ∆ 1 . For any ε ≥ 0 , the Laplace mechanism M ( x ) = f ( x ) + ( Y 1 , Y 2 , . . . , Y k ) is ( ε, 0) -DP when Y 1 , Y 2 , . . . , Y k are i.i.d. random variables drawn from Lap (0 , ∆ 1 /ε ) .
+
+Proposition A.2 (Gaussian Mechanism (Balle &amp; Wang, 2018)) . Suppose f : D → R d is a function with glyph[lscript] 2 -sensitivity ∆ 2 . For any ε ≥ 0 and δ ∈ [0 , 1] , the Gaussian mechanism M ( x ) = f ( x ) + Z with Z ∼ N (0 , σ 2 I ) is ( ε, δ ) -DP if and only if
+
+<!-- formula-not-decoded -->
+
+where Φ is the cdf of standard normal distribution.
+
+- Equal contribution 1 Microsoft 2 Work done as part of the Microsoft AI Residency Program. Correspondence to: Sivakanth Gopi &lt; <sigopi@microsoft.com> &gt; , Janardhan Kulkarni &lt; <jakul@microsoft.com> &gt; , Judy Hanwen Shen &lt; <hashe@microsoft.com> &gt; .
+
+Proceedings of the 37 th International Conference on Machine Learning , Vienna, Austria, PMLR 119, 2020. Copyright 2020 by the author(s).
+
+Definition A.2. We say that two distributions P, Q on a domain X are ( ε, δ ) -close to each other, denoted by P ≈ ε,δ Q , if for every S ⊂ X , we have
+
+<!-- formula-not-decoded -->
+
+<!-- formula-not-decoded -->
+
+We say that two random variables X,Y are ( ε, δ ) -close to each other, denoted by X ≈ ε,δ Y , if their distributions are ( ε, δ ) -close to each other.
+
+We will need the following lemmas which is useful to prove ( ε, δ ) -DP.
+
+Lemma A.1. Let P, Q be probability distributions over a domain X . If there exists an event E s.t. P ( E ) = 1 -δ ′ and P | E ≈ ε,δ Q , then P ≈ ε,δ + δ ′ Q .
+
+Proof. Fix some subset S ⊆ X .
+
+<!-- formula-not-decoded -->
+
+We now prove the other direction.
+
+<!-- formula-not-decoded -->
+
+Now if e ε Pr x ∼ P [ x ∈ S ] ≤ 1 -δ ′ , then we have Pr x ∼ Q [ x ∈ S ] ≤ e ε Pr x ∼ P [ x ∈ S ] + δ ′ + δ. Otherwise, trivially
+
+<!-- formula-not-decoded -->
+
+We will also need the fact that if X ≈ ε,δ Y , then after postprocessing they also remain ( ε, δ ) -close.
+
+Lemma A.2. If two random variables X,Y are ( ε, δ ) -close and M is any randomized algorithm, then M ( X ) ≈ ε,δ M ( Y ) .
+
+Proof. Let M ( z ) = F ( z, R ) for some function F where R is the random bits used by M . For any subset S of the possible outputs of M ,
+
+<!-- formula-not-decoded -->
+
+The other direction holds by symmetry.
+
+Proof of Theorem 3.1. Suppose D 1 and D 2 are neighboring databases where D 1 has one extra user compared to D 2 . Let P and Q denote the distribution of output of the algorithm when the database is D 1 and D 2 respectively. We want to show that P ≈ ε,δ Q . Let E be the event that A ⊂ supp( H 2 ) .
+
+Claim A.1. P | E ≈ ε, 0 Q
+
+Proof. Let H 1 and H 2 be the histograms generated by the algorithm from databases D 1 and D 2 respectively. And ˆ H 1 and ˆ H 2 be the histograms obtained by adding Lap (0 , 1 /ε ) noise to each entry of H 1 and H 2 respectively. For any possible output A of Algorithm 4, we have
+
+<!-- formula-not-decoded -->
+
+So A ∼ P | E is obtained by postprocessing ˆ H 1 | E and A ∼ Q is obtained by postprocessing ˆ H 2 . Since postprocessing only makes two distributions closer (Lemma A.2), it is enough to show that the distributions of the ˆ H 1 | supp( H 2 ) and ˆ H 2 are ( ε, 0) -close to each other. Because the histogram building algorithm (Algorithm 2) has glyph[lscript] 1 -sensitivity of at most 1 by hypothesis, ∥ ∥ H 1 | supp( H 2 ) -H 2 ∥ ∥ glyph[lscript] 1 ≤ 1 . Therefore P | E ≈ ε, 0 Q by the properties of Laplace mechanism (Proposition A.1).
+
+By Lemma A.1, it is enough to show that P ( E ) ≥ 1 -δ . Let T = supp( H 1 ) \ supp( H 2 ) . Note that | T | ≤ ∆ 0 and H 1 [ u ] ≤ 1 | T | for u ∈ T.
+
+<!-- formula-not-decoded -->
+
+Thus for
+
+<!-- formula-not-decoded -->
+
+we have P ( ¯ E ) ≤ δ . Therefore the DP Set Union algorithm (Algorithm 1) is ( ε, δ ) -DP.
+
+Proof of Theorem 4.1. Suppose D 1 and D 2 are neighboring databases where D 1 has one extra user compared to D 2 . Let P and Q denote the distribution of output of the algorithm when the database is D 1 and D 2 respectively. We want to show that P ≈ ε,δ Q . Let E be the event that A ⊂ supp( H 2 ) .
+
+Claim A.2. P | E ≈ ε,δ/ 2 Q
+
+Proof. Let H 1 and H 2 be the histograms generated by the algorithm from databases D 1 and D 2 respectively. And ˆ H 1 and ˆ H 2 be the histograms obtained by adding N (0 , σ 2 ) noise to each entry of H 1 and H 2 respectively. By the postprocessing lemma (Lemma A.2), it is enough to show that the distributions of the ˆ H 1 | supp( H 2 ) and ˆ H 2 are ( ε, δ/ 2) -close to each other. Because the histogram building algorithm (Algorithm 2) has glyph[lscript] 2 -sensitivity of at most 1 by hypothesis, ∥ ∥ H 1 | supp( H 2 ) -H 2 ∥ ∥ glyph[lscript] 2 ≤ 1 . Therefore by properties of Gaussian mechanism (Proposition A.2), it is enough to choose σ as in the statement of the theorem.
+
+By Lemma A.1, it is enough to show that P ( E ) ≥ 1 -δ/ 2 . Let T = supp( H 1 ) \ supp( H 2 ) . Note that | T | ≤ ∆ 0 and H 1 [ u ] ≤ 1 √ | T | for u ∈ T.
+
+<!-- formula-not-decoded -->
+
+Thus for
+
+<!-- formula-not-decoded -->
+
+we have P ( ¯ E ) ≤ δ/ 2 . Therefore the DP Set Union algorithm (Algorithm 1) is ( ε, δ ) -DP.
+
+## B. Bounded Sensitivity implies DP (Proof of Theorem 1.2)
+
+We will now prove a formal version of Theorem 1.2, i.e., if the histogram output by Algorithm 2 has bounded glyph[lscript] p -sensitivity (for p ∈ { 1 , 2 } ), then by adding appropriate noise and setting an appropriate threshold, Algorithm 1 for DP set union can be made differentially private. The lower bounds on the threshold ( ρ ) that we obtain in this generality are only slightly worse compared to the corresponding bounds in Theorems 3.1 and 4.1.
+
+Theorem B.1. Suppose the histogram output by Algorithm 2 has glyph[lscript] 1 -sensitivity 1. Then Algorithm 1 is ( ε, δ ) -DP when the Noise distribution is Lap (0 , λ ) where λ = 1 /ε and the threshold
+
+<!-- formula-not-decoded -->
+
+Proof. Proof of Theorem B.1 is extremely similar to the proof of Theorem 3.1. The only place where it differes is in Equation (1) where we bound H 1 [ u ] ≤ 1 instead of H 1 [ u ] ≤ 1 / | T | .
+
+Theorem B.2. Suppose the histogram output by Algorithm 2 has glyph[lscript] 2 -sensitivity 1. Then Algorithm 1 is ( ε, δ ) -DP when the Noise distribution is N (0 , σ 2 ) where σ and the threshold ρ are chosen s.t.
+
+<!-- formula-not-decoded -->
+
+Proof. Proof of Theorem B.2 is extremely similar to the proof of Theorem 4.1. The only place where it differes is in Equation (2) where we bound H 1 [ u ] ≤ 1 instead of H 1 [ u ] ≤ 1 / √ | T | .
+
+## C. Proof of Lemma 4.1
+
+Figure 1. Geometric explanation of Lemma 4.1 when | AB | , | AC | &gt; 1 .
+
+<!-- image -->
+
+Proof of Lemma 4.1. Let us first assume that both | AB | , | AC | &gt; 1 . Let θ be the angle at A and let | AB ′ | = x, | AC ′ | = y as shown in Figure 1. Then by the cosine formula,
+
+<!-- formula-not-decoded -->
+
+If | AB | , | AC | ≤ 1 , then B ′ = C ′ = A and then the
+
+Figure 2. Geometric explanation of Lemma 4.1 when | AB | &gt; 1 , | AC | ≤ 1 .
+
+<!-- image -->
+
+Mass
+
+41
+
+H'i- 1)
+
+Items
+
+U2
+
+Mass claim is trivially true. Suppose | AB | &gt; 1 , | AC | ≤ 1 . Now C ′ = A. Let | AB ′ | = x, | AC | = z ≤ 1 and θ be the angle at A as shown in Figure 2. Then by the cosine formula,
+
+Mass from us
+
+Mass from us ... uN
+
+<!-- formula-not-decoded -->
+
+<!-- formula-not-decoded -->
+
+By symmetry, the claim is also true when | AC | &gt; 1 , | AB | ≤ 1 .
+
+## D. Privacy analysis of Weighted Laplace and Guassian Algorithms
+
+## D.1. Weighted Laplace
+
+## Algorithm 1 LAPLACE weighted update
+
+Input: H : Current histogram
+
+W : A subset of U of size at most ∆ 0
+
+```text
+Output: H : Updated histogram for u in W do H[ u ] ← H[ u ] + 1 | W |
+```
+
+end for
+
+Theorem D.1. The WEIGHTED LAPLACE algorithm (Algorithm 1) is ( ε, δ ) -DP when
+
+<!-- formula-not-decoded -->
+
+Proof. Proof is exactly the same as that of Theorem 3.1.
+
+## D.2. Weighted Gaussian
+
+Algorithm 2
+
+```text
+GAUSSIAN weighted update Input: H : Current histogram W : A subset of U of size at most ∆ 0 Output: H : Updated histogram for u in W do H[ u ] ← H[ u ] + √ 1 | W | end for
+```
+
+Theorem D.2. The WEIGHTED GAUSSIAN algorithm (Algorithm 2) is ( ε, δ ) -DP if σ, ρ Gauss are chosen s.t.
+
+<!-- formula-not-decoded -->
+
+Proof. Proof is exactly the same as that of Theorem 4.1.
+
+· Mass from us
+
+H(NI
+
+Mass from us -. UN
+
+## E. Greedy Policy
+
+Figure 3. Visualization of greedy update example where the final l 1 sensitivity is larger than 1.
+
+<!-- image -->
+
+In this section, we give a simple counter example to illustrate how the sensitivity of a greedy policy algorithm can be unbounded.
+
+## Algorithm 3 GREEDY POLICY update
+
+```text
+Input: H : Current histogram W : A subset of U of size at most ∆ 0 Γ : cutoff parameter Output: H : Updated histogram // Build cost dictionary G G = {} // Empty dictionary for u ∈ W do if H [ u ] < Γ then // Gap to cutoff for items below cutoff Γ G [ u ] ← Γ -H [ u ] end if end for budget ← 1 // Each user gets a total budget of 1 // Sort in increasing order of the gap Γ -H [ u ] G ← sort( G ) // Let u 1 , u 2 , . . . , u | G | be the sorted order for j = 1 to | G | do if G [ u j ] ≤ budget then H [ u j ] ← H [ u j ] + G [ u j ] budget ← budget G [ u j ] else H [ u j ] ← H [ u j ]+ budget break end if end for
+```
+
+Suppose there are N user let u 1 and u 2 be two items in the universe. We will denote the weight of item u after user
+
+10%
+
+· 101
+
+10°
+
+log-log plot of word rank by user count (row sums)
+
+10°
+
+i 's contribution as H ( i ) [ u ] . Suppose user i has only item u 1 while users i +1 , i +2 , . . . , N have both items. Let H 1 be the histogram generated with all N users while H 2 be the histogram generated without user i . Let ∆ 0 = 2 and H ( i -1) [ u 1 ] &lt; H ( i -1) [ u 2 ] &lt; 1 + H ( i -1) [ u 1 ] . According to the greedy update described in Algorithm 3, in H 1 , user i will add weight 1 to u 1 and users i +1 , i +2 , . . . , N will also to u 1 since H ( i ) [ u 1 ] &gt; H ( i ) [ u 2 ] . In H 2 , users i +1 , i + 2 , . . . , N will add to u 2 since H ( i -1) [ u 1 ] &lt; H ( i -1) [ u 2 ] . This process is described in figure 3. Therefore the glyph[lscript] 1 -sensitivity of the histogram built using Greedy Policy update (Algorithm 3) can be Ω(Γ , N ) .
+
+## F. Dataset Details
+
+Using a log-log scale, the frequency of users for each unigram vs. the rank of the unigram is linear (Figure 4). In other words, the lowest ranked (most common) unigrams are used by almost all users while the highest ranked (least common) unigrams are used by very few users.
+
+Figure 4. Frequency (i.e. number of users who use the unigram) vs. rank of the unigram (based on frequency) on a log-log scale. This linear relationship shows that the frequency of unigrams among users also follows Zipf's law (power law), i.e., count ∝ 1 / rank α for some constant α &gt; 0 . The α in this case is ≈ 1 .
+
+<!-- image -->
+
+The distribution of how many unigrams each user uses also follows a long tail distribution. While the top 10 users contribute between 850 and 2000 unique unigrams, most users (93.1%) contribute less than 100 unique unigrams. Table 1 summarizes the percentage of users with a unique vocabulary smaller than each threshold T provided.
+
+Table 1. Percentage of users with unique unigram count of less than or equal to T. The vast majority of user have less than 100 unique unigrams.
+
+| THRESHOLD (T) USERS WITH &#124; W i &#124; ≤ T | THRESHOLD (T) USERS WITH &#124; W i &#124; ≤ T |
+| ---------------------------------------------- | ---------------------------------------------- |
+| 1                                              | 2.78%                                          |
+| 10                                             | 29.82%                                         |
+| 50                                             | 79.16%                                         |
+| 100                                            | 93.13%                                         |
+| 300                                            | 99.59%                                         |
+
+## G. Additional Experiments
+
+## G.1. Multiple passes through each user
+
+In the experiments described thus far, each user contributes items once within the budget constraints. We also investigate whether the output of set union increases in size when each user contributes the same budget over multiple passes (e.g. user 1 contributes half of their budget each time over 2 passes), we compare POLICY LAPLACE and POLICY GAUSSIAN outputs. Table 2 summarizes the results showing that there is not strong evidence suggesting that running multiple passes through the users improves the size of the output set.
+
+## G.2. Selecting α : parameter to set threshold Γ
+
+Figure 5 shows the number of unigrams released by POLICY LAPLACE and POLICY GAUSSIAN for various values of α . We observe that the number of unigrams released increases sharply until α = 4 , then remains nearly constant and then slowly decreases. This choice of α only affects the policy algorithms since the weighted and count algorithms do not use a threshold.
+
+Figure 5. Number of unigrams released for various values of α . The number of unigrams released increases sharply until about α = 2 , then remains nearly constant and then decreases. Here we fixed ∆ 0 = 100 and ε = 3 .
+
+<!-- image -->
+
+Table 2. Count of unigrams released POLICY LAPLACE and POLICY GAUSSIAN algorithms for single and double passes over users. Results are averaged and rounded across 5 shuffles of user order. The privacy parameters are ε = 3 and δ = exp( -10) . α = 2 is chosen for the threshold parameter. Significant p-values for a two-sided independent t-test are bolded.
+
+| POLICY LAPLACE | POLICY LAPLACE | POLICY LAPLACE | POLICY GAUSSIAN | POLICY GAUSSIAN | POLICY GAUSSIAN | POLICY GAUSSIAN |
+| -------------- | -------------- | -------------- | --------------- | --------------- | --------------- | --------------- |
+| ∆ 0            | 1 PASS         | 2 PASSES       | P-VAL           | 1 PASS          | 2 PASSES        | P-VAL           |
+| 1              | 4236 ± 14      | 4257 ± 17      | 0.083           | 3135 ± 25       | 3131 ± 20       | 0.829           |
+| 10             | 12452 ± 31     | 12389 ± 17     | 0.008           | 10784 ± 22      | 10817 ± 54      | 0.293           |
+| 50             | 15056 ± 35     | 15080 ± 21     | 0.262           | 15763 ± 33      | 15809 ± 45      | 0.139           |
+| 100            | 14562 ± 50     | 14567 ± 24     | 0.846           | 14562 ± 50      | 14568 ± 24      | 0.846           |
+| 200            | 14005 ± 33     | 13979 ± 31     | 0.271           | 14005 ± 33      | 13979 ± 31      | 0.271           |
+| 300            | 13702 ± 37     | 13678 ± 47     | 0.448           | 13702 ± 37      | 13678 ± 47      | 0.447           |
+
+## THE EFFECT OF ε
+
+Figure 6. Number of unigrams released for various values of ε . Here we fixed ∆ 0 = 100 and α = 5 .
+
+<!-- image -->
+
+We use ε = 3 for the experiments in table 1. At this value of ε our policy algorithms perform much better than previous count and weighted algorithms. To check whether this result holds with smaller ε , we also run these algorithms on various values of ε . Figure 6 shows that for ε ≥ 1 our policy algorithms always perform better.
+
+## References
+
+- Balle, B. and Wang, Y.-X. Improving the gaussian mechanism for differential privacy: Analytical calibration and optimal denoising. In International Conference on Machine Learning , pp. 403-412, 2018.
+- Dwork, C., McSherry, F., Nissim, K., and Smith, A. Calibrating noise to sensitivity in private data analysis. In Theory of Cryptography Conference , pp. 265-284. Springer, 2006.

tools/benchmark-harness/vendored/docling/md/nougat_041.md

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+## INAUGURAL LECTURE OF THE GLOBAL JUSTICE PROGRAMME
+
+Tuesday, 27 August 2013, 3:00 pm - 4:00 pm T2, 3rd Floor, Conference Room O.P. Jindal Global University
+
+Sonipat Narela Road, Near Jagdishpur Village, Sonipat, Haryana - 131001
+
+## ''Corporeity: Conceptualising Corporeal Citizenship in India''
+
+<!-- image -->
+
+SPEAKER
+
+PROFESSOR ADITYA BHARDWAJ
+
+Research Professor, Anthropology and Sociology The Graduate Institute of International and Development Studies, Geneva
+
+Aditya Bharadwaj is Research Professor of Anthropology and Sociology at the Graduate Institute of International and Development Studies, Geneva. His research is focused on the rapid spread of Assisted Reproductive and Stem Cell Biotechnologies around the globe. He has authored and co-authored several peer-reviewed journal articles and book chapters. He co-authored Risky Relations: Family, Kinship and the New Genetics (Berg, 2006) and is the lead author of the research monograph Local Cells, Global Science: The Proliferation of Stem Cell Technologies in India (Routledge, 2009). His forthcoming research monograph is titled Conceptions: Infertility and Technologies of Procreation in India (Berghahn, 2014).
+
+## Abstract
+
+The paper conceptualises corporeity as an emergent form of citizenship predicated on the liquidation of physical substance or existence. Drawing on three contemporary developments in the scientific capacity to harness biogenetic substance and support its gestation - in vitro fertilization, stem cells and surrogacy - the paper shows how selective transference of neo-liberal policies is facilitating the 'birth' of a new class of corporeal subject citizens in India. The paper situates these developments on the intersections of local and global efforts to produce greater legal oversight to achieve ethical appropriation of human biogenetic substance and capacity. The argument charts the political expediency underscoring these moves and examines the frayed contours of governance structures enabling the appropriation and liquidation of citizen corporeality in an emerging global bioeconomy.
+
+Global Justice Programme (GJP), Jindal Global Law School
+
+Faculty Co-ordinator: Professor Ratna Kapur <rkapur@jgu.edu.in>, +91 8930110903 Global Professor of Law &amp; Director
+
+<!-- image -->
+
+<!-- image -->
+
+RSVP: Lt. Dr. Mamta Sharma Deputy Registrar <msharma@jgu.edu.in> +91 8930110713
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->
+
+<!-- image -->

tools/benchmark-harness/vendored/docling/md/nougat_042.md

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