MonkeyOCRv2: A Visual-Text Foundation Model for Document AI | Paper Citation Record

Observation 956487cb-9bff-4207-8694-19f36768c8f5 · outbound

This paper cites Qwen3-VL Technical Report.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Qwen3-VL Technical Report

Reference 1

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Observation db94fda7-7ff5-482a-8bfb-7ca78c7587a6 · outbound

This paper cites Qwen2.5-VL Technical Report.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Qwen2.5-VL Technical Report

Reference 2

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Observation c8714cae-c14e-4450-8b26-9b73b2f205d1 · outbound

This paper cites BEiT: BERT pre-training of image transformers.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI BEiT: BERT pre-training of image transformers

Reference 3

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Observation 9fe81157-476a-4f73-9f90-ef93006201a7 · outbound

This paper cites Scene text recognition with permuted autoregressive sequence models.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Scene text recognition with permuted autoregressive sequence models

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Observation f0b88761-7919-4e83-bbda-a6ca5d329c8f · outbound

This paper cites Nougat: Neu- ral optical understanding for academic documents.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Nougat: Neu- ral optical understanding for academic documents

Reference 5

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Observation 63566e54-418f-4025-9ebd-a50ec41a9218 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Emerging properties in self-supervised vision transformers

Reference 6

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Observation 5570681b-8f6e-405a-8024-858bdeaa5c01 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 7

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Observation 7d445a3c-6f95-4497-96f7-92168485031f · outbound

This paper cites Enhancing tampered text detection through frequency feature fusion and decomposition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Enhancing tampered text detection through frequency feature fusion and decomposition

Reference 8

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Observation c69d1d07-5d04-4bb0-82ae-e9562d2c703f · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Masked-attention mask transformer for universal image segmentation

Reference 9

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Observation 9e94e238-eb65-4307-aa30-b300977122f7 · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation.Advances in Neural Information Processing Systems, 34:17864–17875, 2021.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Per-pixel classification is not all you need for semantic segmentation.Advances in Neural Information Processing Systems, 34:17864–17875, 2021

Reference 10

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Observation 15c99d84-fa77-4cec-9adf-5b88bdbe8e62 · outbound

This paper cites M6doc: a large-scale multi-format, multi-type, multi-layout, multi-language, multi-annotation category dataset for modern document layout analysis.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI M6doc: a large-scale multi-format, multi-type, multi-layout, multi-language, multi-annotation category dataset for modern document layout analysis

Reference 11

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Observation 0765eb9d-c493-48ba-94a6-1fe8a336c462 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Reproducible scaling laws for contrastive language-image learning

Reference 12

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Observation cf0b5cba-23cb-4d6e-90b0-c82d2a309265 · outbound

This paper cites Total-text: A comprehensive dataset for scene text detection and recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Total-text: A comprehensive dataset for scene text detection and recognition

Reference 13

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Observation 4de5f807-5022-456f-a1e0-95b72d9cd0e7 · outbound

This paper cites Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art

Reference 14

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Observation 8786798c-eef4-4a2e-93b1-922796038491 · outbound

This paper cites PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing

Reference 15

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Observation 5483938f-14b9-42b2-a50f-e0a1d955a917 · outbound

This paper cites Boosting document parsing efficiency and performance with coarse-to-fine visual processing.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Boosting document parsing efficiency and performance with coarse-to-fine visual processing

Reference 16

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Observation b8adad7e-7a38-497c-b2d9-b59a41ea8126 · outbound

This paper cites Vision grid transformer for document layout analysis.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Vision grid transformer for document layout analysis

Reference 17

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Observation 9b558c00-1ee2-4efc-adc4-cb9060208712 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Imagenet: A large- scale hierarchical image database

Reference 18

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Observation ea56ecce-d9ee-4c57-92ec-f3911336f702 · outbound

This paper cites Decaf: A deep convolutional activation feature for generic visual recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Decaf: A deep convolutional activation feature for generic visual recognition

Reference 19

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Observation d4f1d11a-8712-47a1-b29b-a56f85f0bd87 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

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Observation 6b5cdcfa-9fb6-498c-b13c-db94b6b22c5a · outbound

This paper cites Out of length text recognition with sub-string matching.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Out of length text recognition with sub-string matching

Reference 21

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Observation 5e982cc3-5d97-4f1b-87a8-852587c337ed · outbound

This paper cites Context perception parallel decoder for scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Context perception parallel decoder for scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025

Reference 22

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Observation d4194c98-d26d-4048-95c1-a77fd25bef09 · outbound

This paper cites Instruction-guided scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(4):2723–2738, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Instruction-guided scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(4):2723–2738, 2025

Reference 23

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Observation 2cf2c263-9db2-4b6b-99c9-7cacee222f4a · outbound

This paper cites Svtrv2: Ctc beats encoder-decoder models in scene text recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Svtrv2: Ctc beats encoder-decoder models in scene text recognition

Reference 24

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Observation 59b938e5-6407-4d77-9935-3a041565c732 · outbound

This paper cites UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameters.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameters

Reference 25

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Observation f145dc73-0f90-4780-8f54-b3f2ef79eeb1 · outbound

This paper cites Glm-ocr technical report.arXiv preprint arXiv:2603.10910, 2026.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Glm-ocr technical report.arXiv preprint arXiv:2603.10910, 2026

Reference 26

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Observation fff5c9ab-7ed2-48b1-967a-b8c2f5dde944 · outbound

This paper cites Read like humans: Autonomous, bidirectional and iterative language modeling for scene text recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Read like humans: Autonomous, bidirectional and iterative language modeling for scene text recognition

Reference 27

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Observation 47b6db9a-c553-4f67-9059-d31968fd052c · outbound

This paper cites Mathwriting: A dataset for handwrit- ten mathematical expression recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Mathwriting: A dataset for handwrit- ten mathematical expression recognition

Reference 28

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Observation 7b74a901-5379-4562-94b5-d6ad3911972e · outbound

This paper cites White, Silvia C.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI White, Silvia C

Reference 29

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Observation 084acf49-3b43-4494-9446-2e30697605a2 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Rich feature hierarchies for accurate object detection and semantic segmentation

Reference 30

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Observation af881e44-1710-45ab-88b6-af1e529bfda2 · outbound

This paper cites an unresolved cited work.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Unresolved cited work

Reference 31

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Observation 3ba7009f-7e4a-48f5-802e-b42fa9396dca · outbound

This paper cites Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

Reference 32

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Observation 079ba129-1e5f-476b-9197-4c523e07b507 · outbound

This paper cites Speech recognition with deep recurrent neural networks.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Speech recognition with deep recurrent neural networks

Reference 33

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Observation 924b39b7-45ae-4723-9350-9dbe46eeb697 · outbound

This paper cites Unimernet: A universal network for real-world mathematical expression recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Unimernet: A universal network for real-world mathematical expression recognition

Reference 34

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This paper cites Deep residual learning for image recognition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Deep residual learning for image recognition

Reference 35

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Observation c11203c2-00a3-4f30-a964-7f5266998a88 · outbound

This paper cites Icpr2018 contest on robust reading for multi-type web images.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Icpr2018 contest on robust reading for multi-type web images

Reference 36

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Observation 5444bede-46bd-447c-a75a-c5d8af7bf177 · outbound

This paper cites Radiov2.5: Improved baselines for agglomerative vision founda- tion models.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Radiov2.5: Improved baselines for agglomerative vision founda- tion models

Reference 37

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Observation 412ae612-9dc8-40b0-a639-0999e1c5fa16 · outbound

This paper cites mplug-docowl 1.5: Unified structure learning for ocr-free document understanding.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI mplug-docowl 1.5: Unified structure learning for ocr-free document understanding

Reference 38

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Observation 61516f06-91f8-4f28-844d-dc6468b132b1 · outbound

This paper cites Layoutlmv3: Pre-training for document ai with unified text and image masking.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Layoutlmv3: Pre-training for document ai with unified text and image masking

Reference 39

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Observation cc7178e2-3580-4242-84b1-5f5fa48438c4 · outbound

This paper cites Revisiting scene text recognition: A data perspective.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Revisiting scene text recognition: A data perspective

Reference 40

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Observation 66fabf0d-d267-4115-9e41-5301b98f32d8 · outbound

This paper cites Icdar 2015 competition on robust reading.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Icdar 2015 competition on robust reading

Reference 41

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Observation 3277cd3a-9c04-4a71-8da4-7d9890a273ea · outbound

This paper cites Icdar 2013 robust reading competition.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Icdar 2013 robust reading competition

Reference 42

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Observation 7e7f5bc5-1c8c-4735-8a4c-e6eef1e25f3d · outbound

This paper cites Ocr-free document understanding transformer.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Ocr-free document understanding transformer

Reference 43

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Observation 2a2c6ce8-c79e-4450-8adf-cec8c915efe4 · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick

Reference 44

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Observation 7a008935-daa7-4bdf-b6f4-02a4e774caa9 · outbound

This paper cites Open images v5 text annotation and yet another mask text spotter.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Open images v5 text annotation and yet another mask text spotter

Reference 45

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Observation 18557dce-9ea7-425c-9c58-b4f7c57eaf36 · outbound

This paper cites Cat-net: Compression artifact tracing network for detection and localization of image splicing.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Cat-net: Compression artifact tracing network for detection and localization of image splicing

Reference 46

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Observation 564d561b-e063-452a-822f-368e60237fd4 · outbound

This paper cites Towards better structured and less noisy web data: Oscar with register annotations.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Towards better structured and less noisy web data: Oscar with register annotations

Reference 47

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Observation 2ded9b07-7271-4dd3-a061-49d38b8e186e · outbound

This paper cites Pix2struct: Screenshot parsing as pretraining for visual language understanding.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Pix2struct: Screenshot parsing as pretraining for visual language understanding

Reference 48

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Observation 6b25127e-d632-4c5f-9459-162906b9b441 · outbound

This paper cites Building a test collection for complex document information processing.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Building a test collection for complex document information processing

Reference 49

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Observation faa64d08-d7f7-47e4-97af-c5ac7fa7ff1d · outbound

This paper cites HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better

Reference 50

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Observation 8b4844e4-6028-4cf6-a810-4a09f07cb554 · outbound

This paper cites Dit: Self-supervised pre-training for document image transformer.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Dit: Self-supervised pre-training for document image transformer

Reference 51

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Observation a596092e-5e08-4b02-9ce0-75614f61e452 · outbound

This paper cites Trocr: Transformer-based optical character recognition with pre- trained models.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Trocr: Transformer-based optical character recognition with pre- trained models

Reference 52

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Observation 17d8b603-2104-4512-a017-df91a66ce365 · outbound

This paper cites Openvision: A fully-open, cost- effective family of advanced vision encoders for multimodal learning.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Openvision: A fully-open, cost- effective family of advanced vision encoders for multimodal learning

Reference 53

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Observation 972ce4b4-7d9b-4c2f-8d84-41cb11d90c3f · outbound

This paper cites Exploring plain vision transformer backbones for object detection.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Exploring plain vision transformer backbones for object detection

Reference 54

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Observation 75c1fa4d-8313-48ff-aecb-966bc386a37e · outbound

This paper cites dots.ocr: Multilingual document layout parsing in a single vision-language model.arXiv preprint arXiv:2512.02498, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI dots.ocr: Multilingual document layout parsing in a single vision-language model.arXiv preprint arXiv:2512.02498, 2025

Reference 55

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Observation 1a3d7953-d21a-49ba-b273-52d579d63f9b · outbound

This paper cites Mdpbench: A benchmark for multilingual document parsing in real-world scenarios.arXiv preprint arXiv:2603.28130, 2026.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Mdpbench: A benchmark for multilingual document parsing in real-world scenarios.arXiv preprint arXiv:2603.28130, 2026

Reference 56

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Observation 6227d56c-f8fb-4f99-8f2b-58e87f72a8a1 · outbound

This paper cites Monkeyocr: Document parsing with a structure-recognition-relation triplet paradigm.arXiv preprint arXiv:2506.05218, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Monkeyocr: Document parsing with a structure-recognition-relation triplet paradigm.arXiv preprint arXiv:2506.05218, 2025

Reference 57

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Observation 0eb68467-df77-4ba9-803f-9c9d34794062 · outbound

This paper cites Monkey: Image resolution and text label are important things for large multi-modal models.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Monkey: Image resolution and text label are important things for large multi-modal models

Reference 58

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Observation 144f30e9-a5b7-4326-88a3-24dcb77487ae · outbound

This paper cites Real-time scene text detection with differentiable binarization.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Real-time scene text detection with differentiable binarization

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Observation e2980ed5-5696-471b-a537-96f3857086ed · outbound

This paper cites Improved baselines with visual instruction tuning.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Improved baselines with visual instruction tuning

Reference 60

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Observation 6d9657ec-972e-42d9-b38a-3dc965cd5665 · outbound

This paper cites an unresolved cited work.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Unresolved cited work

Reference 61

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Observation c7491a30-bd47-4025-b790-957ef6961e93 · outbound

This paper cites Multi-scenario overlapping text segmen- tation with depth awareness.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Multi-scenario overlapping text segmen- tation with depth awareness

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation e298b4ae-4a98-4dba-93b5-159648ec8af2 · outbound

This paper cites Openvision 2: A family of generative pretrained visual encoders for multimodal learning.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Openvision 2: A family of generative pretrained visual encoders for multimodal learning

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 9daeb8bc-1982-4271-b4a8-c63c5472b6c1 · outbound

This paper cites Multilingual denoising pre-training for neural machine translation.Transactions of the Association for Computational Linguistics, 8:726–742, 2020.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Multilingual denoising pre-training for neural machine translation.Transactions of the Association for Computational Linguistics, 8:726–742, 2020

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 42d42d74-75d9-4113-a0c0-3fdcdee9a47d · outbound

This paper cites Curved scene text detection via transverse and longitudinal sequence connection.Pattern Recognition, 90:337–345, 2019.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Curved scene text detection via transverse and longitudinal sequence connection.Pattern Recognition, 90:337–345, 2019

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 57fdb7dc-d7e1-4feb-a155-8d432855c425 · outbound

This paper cites Ocrbench: on the hidden mystery of ocr in large multimodal models.Science China Information Sciences, 67(12):220102, 2024.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Ocrbench: on the hidden mystery of ocr in large multimodal models.Science China Information Sciences, 67(12):220102, 2024

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation caf6b75e-cab9-4e8e-9984-09ba86f7f41b · outbound

This paper cites Textmonkey: An ocr-free large multimodal model for understanding document.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 48(5):6008–6019, 2026.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Textmonkey: An ocr-free large multimodal model for understanding document.IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 48(5):6008–6019, 2026

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation fcaa1f93-3a10-4c4c-b150-b04ba9dd335c · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Swin transformer: Hierarchical vision transformer using shifted windows

Reference 68

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 5f565518-7516-45c3-bbd0-00ff66612847 · outbound

This paper cites A convnet for the 2020s.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI A convnet for the 2020s

Reference 69

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation b336712c-f93f-4e92-9be6-207c7451ff63 · outbound

This paper cites Towards end-to-end unified scene text detection and layout analysis.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Towards end-to-end unified scene text detection and layout analysis

Reference 70

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation a177eb79-54e5-4330-a81b-ef6bcfe04176 · outbound

This paper cites Toward real text manipulation detection: New dataset and new solution.Pattern Recognition, 157:110828, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Toward real text manipulation detection: New dataset and new solution.Pattern Recognition, 157:110828, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 027643cd-dad3-4d0c-a59c-2d95b2fab0ba · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 726ce31e-9039-4cdc-8a26-46d5f706e084 · outbound

This paper cites Infographicvqa.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Infographicvqa

Reference 73

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 52273c3b-b0fe-478e-8f44-b37eea290133 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Docvqa: A dataset for vqa on document images

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 486f3503-e9fa-4868-963f-12630bd07d44 · outbound

This paper cites Scene text recognition using higher order language priors.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Scene text recognition using higher order language priors

Reference 75

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 56fee384-a9b9-465d-ae78-1fde29b31db2 · outbound

This paper cites Mineru2.5: A decoupled vision-language model for efficient high-resolution document parsing.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Mineru2.5: A decoupled vision-language model for efficient high-resolution document parsing

Reference 76

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 70d33beb-373c-4ec1-866e-3aaef0c7c233 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI DINOv2: Learning Robust Visual Features without Supervision

Reference 77

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 850e8f6c-6ad3-4b18-bb0f-7bc8f9d7b94d · outbound

This paper cites Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations

Reference 78

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 35a7642d-62b0-4fcc-a69d-e83b270aa870 · outbound

This paper cites Compositional semantic parsing on semi-structured tables.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Compositional semantic parsing on semi-structured tables

Reference 79

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 064ab8cd-112e-4251-b2a0-726ce6ab182a · outbound

This paper cites Doclaynet: A large human-annotated dataset for document-layout segmentation.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Doclaynet: A large human-annotated dataset for document-layout segmentation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 4b0091e8-aa73-44c7-a41d-f62da0244813 · outbound

This paper cites Recogniz- ing text with perspective distortion in natural scenes.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Recogniz- ing text with perspective distortion in natural scenes

Reference 81

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation a4f5d735-11b3-4965-ac60-9b86b1252f34 · outbound

This paper cites olmocr: Unlocking trillions of tokens in pdfs with vision language models.arXiv preprint arXiv:2502.18443, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI olmocr: Unlocking trillions of tokens in pdfs with vision language models.arXiv preprint arXiv:2502.18443, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation b3a23569-f991-49a6-900c-d324df1eeefe · outbound

This paper cites olmocr 2: Unit test rewards for document ocr.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI olmocr 2: Unit test rewards for document ocr

Reference 83

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 2a064dbd-0d0f-4f43-9adf-068886e97a4d · outbound

This paper cites Towards robust tampered text detection in document image: New dataset and new solution.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Towards robust tampered text detection in document image: New dataset and new solution

Reference 84

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 392ca933-f89d-43f3-a82b-618558fdfbad · outbound

This paper cites Learning transferable visual models from natural language supervision.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Learning transferable visual models from natural language supervision

Reference 85

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 91df2e0b-c7d5-4bfa-921d-57421cb11d10 · outbound

This paper cites Am-radio: Agglomerative vision foundation model reduce all domains into one.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Am-radio: Agglomerative vision foundation model reduce all domains into one

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 2733783f-b31b-4c71-a4eb-2cb09c86fb7a · outbound

This paper cites Sam 2: Segment anything in images and videos.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Sam 2: Segment anything in images and videos

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation c54722b0-ffed-417f-b052-83957b64419f · outbound

This paper cites A robust arbitrary text detection system for natural scene images.Expert Systems with Applications, 41(18):8027–8048, 2014.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI A robust arbitrary text detection system for natural scene images.Expert Systems with Applications, 41(18):8027–8048, 2014

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation a1fe7fa5-869c-42a3-be32-390deda8a3ba · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI U-net: Convolutional networks for biomedical image segmentation

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation fda23e05-0668-4144-8aa4-635402b19c27 · outbound

This paper cites Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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Observation 95f0fb92-a295-428f-a230-5edf53b252dd · outbound

This paper cites an unresolved cited work.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 986a6732-752f-4795-84d8-61b6e2cc50cf · outbound

This paper cites DINOv3.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI DINOv3

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation a4ccb308-4618-4552-b641-99b777849004 · outbound

This paper cites Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Textocr: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

Reference 93

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 32c0aab1-af3d-41b6-b8c9-6631daf00e51 · outbound

This paper cites Kleister: key information extraction datasets involving long documents with complex layouts.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Kleister: key information extraction datasets involving long documents with complex layouts

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation b2d65c39-6b62-4449-bdea-047b42cd2138 · outbound

This paper cites Icdar 2019 competition on large-scale street view text with partial labeling-rrc-lsvt.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Icdar 2019 competition on large-scale street view text with partial labeling-rrc-lsvt

Reference 95

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dcea6d2-649f-439f-bf23-8555ab3c4094 · outbound

This paper cites Deepform: Understand structured documents at scale.Weights & Biases report, 4, 2020.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Deepform: Understand structured documents at scale.Weights & Biases report, 4, 2020

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 2e4ede48-72c3-4f26-b347-235866852955 · outbound

This paper cites Hunyuanocr technical report.arXiv preprint arXiv:2511.19575, 2025.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Hunyuanocr technical report.arXiv preprint arXiv:2511.19575, 2025

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 1908098a-9a02-4bdf-b4b0-a2e905dd33c1 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Kimi K2.5: Visual Agentic Intelligence

Reference 98

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation bf371730-be48-44f0-93b4-d31f8282461e · outbound

This paper cites Kwai Keye-VL Technical Report.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI Kwai Keye-VL Technical Report

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

Source-reported events for the cited work

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Observation 4d2e50e9-25bc-4e2e-a0bf-22e9519f3f8c · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

MonkeyOCRv2: A Visual-Text Foundation Model for Document AI SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

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Resolution: unresolved; no resolver link, observed 2026-07-14T04:45:32.682508Z

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