Paper Citation Record · LEDGER

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

As of 5 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 36 inbound Pith citation observations for arXiv:2509.22186.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.22186 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T13:25:31.884175Z

measured 99 of 99 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 36 of 36 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:46:40.906153Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T17:07:25.732459Z

Reference resolution

63 of 63 outbound references displayed

verified exact31
verified fuzzy29
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0eb17dcd-cb96-42cf-bbf4-6cc66047925f · outbound

This paper cites GPT-4 Technical Report.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.932307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 573fdc67-6c36-4bd9-8f60-ebeefafb04cb · outbound

This paper cites Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:31.943757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ba8d191b-7eb0-4511-8ae0-dc7bc2157634 · outbound

This paper cites Qwen2.5-VL Technical Report.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Qwen2.5-VL Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.951234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6b4b551-4d46-423c-9d97-1092ce276f30 · outbound

This paper cites Nougat: Neural Optical Understanding for Academic Documents.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Nougat: Neural Optical Understanding for Academic Documents

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.958813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 093bba68-43e4-4f8e-96c6-192b8f2bf9cc · outbound

This paper cites Ocrflux.https://github.com/chatdoc-com/OCRFlux.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Ocrflux.https://github.com/chatdoc-com/OCRFlux

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.117297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 04421ea2-b829-40fd-b508-4093dac1d46d · outbound

This paper cites Ocean-OCR: Towards General OCR Application via a Vision-Language Model.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Ocean-OCR: Towards General OCR Application via a Vision-Language Model

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.114062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 61d5631e-b4a9-418b-8c94-bb801dfea1f4 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.965726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb70f3ae-da33-464a-b1c6-7fe38e5f921b · outbound

This paper cites PaddleOCR 3.0 Technical Report.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing PaddleOCR 3.0 Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.970747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03980eac-ab61-4aaa-ac6c-c7734cf21115 · outbound

This paper cites Vision grid transformer for document layout analysis.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Vision grid transformer for document layout analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.130041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d12d51b4-6981-43e9-8205-ede07f0f853a · outbound

This paper cites Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution.Advances in Neural Information Processing Systems, 36: 2252–2274.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution.Advances in Neural Information Processing Systems, 36: 2252–2274

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.133324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f1bfba0-f5f8-4ac1-a8d4-0c2ccefa47ee · outbound

This paper cites Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:31.976486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52d0a6e8-8ef2-4742-ab23-e6dc1ea29c06 · outbound

This paper cites OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:33:27.157097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4e95f10a-35a2-499a-9591-3c343fe030d8 · outbound

This paper cites Seed1.5-VL Technical Report.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Seed1.5-VL Technical Report

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:31.987859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9a30f1f2-85b5-438b-b26f-f390800d78d4 · outbound

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

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Layoutlmv3: Pre-training for document ai with unified text and image masking

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.146259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f0fc35e4-6a7a-4ce7-9598-8220d09b31e4 · outbound

This paper cites Ocr-free document understanding transformer.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Ocr-free document understanding transformer

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.149454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4ef1a096-d4b0-416e-9151-791e8128886c · outbound

This paper cites Gon- zalez, Hao Zhang, and Ion Stoica.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Gon- zalez, Hao Zhang, and Ion Stoica

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.152409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc1d039a-6fc1-438f-8669-2cf20ed0aabd · outbound

This paper cites arXiv preprint arXiv:2506.05218 , year=.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing arXiv preprint arXiv:2506.05218 , year=

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:25:31.993644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a57bb7ce-7adb-4547-b85c-afe3fb10108d · outbound

This paper cites Doctr: Document transformer for structured information extraction in documents.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Doctr: Document transformer for structured information extraction in documents

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.158551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec8a855e-69e8-422c-933d-891fe3663a54 · outbound

This paper cites Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:31.999250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4fe99761-6a07-45a8-8934-3a22c03b774e · outbound

This paper cites Hrvda: High-resolution visual document assistant.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Hrvda: High-resolution visual document assistant

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.164376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 08762d7b-06fd-4937-88ce-1226f17b3ba2 · outbound

This paper cites PP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing PP-FormulaNet: Bridging Accuracy and Efficiency in Advanced Formula Recognition

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.004800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58d19e35-81c9-4ed9-8fd8-5295c7f7a36d · outbound

This paper cites POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.010747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1e09e38-907f-449a-b072-d1c13ad8f18f · outbound

This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.017809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5792a4b9-125a-4cde-b6e3-c5956b76c387 · outbound

This paper cites Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.023399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09fd7087-0dfa-44e7-961e-d63ffb8bf3c4 · outbound

This paper cites Optimized table tokenization for table structure recognition.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Optimized table tokenization for table structure recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.180701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41e4b1c1-372c-463b-9a14-04b5ad310093 · outbound

This paper cites Nanonets-ocr-s.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Nanonets-ocr-s

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.183669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0937d3c-f884-40f6-949d-b11cc6de362d · outbound

This paper cites Mathpix.https://mathpix.com/.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Mathpix.https://mathpix.com/

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.186530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2243c99a-0e45-49f1-8fff-ddf6d83300a6 · outbound

This paper cites SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:25:32.028685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7ab0eda-b5a6-4a65-9a70-0eda9239920e · outbound

This paper cites Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.034155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d91cfd00-34e8-4325-932e-e93d5f482180 · outbound

This paper cites Pdf-extract-kit.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Pdf-extract-kit

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.195460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation daea5a8c-2d61-4ee5-a13f-614a0f586a9b · outbound

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

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Omnidocbench: Benchmarking diverse pdf document parsing with comprehensive annotations

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.198535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8807e89-2831-4c1e-b2e3-022393b65b0c · outbound

This paper cites Marker.https://github.com/datalab-to/marker.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Marker.https://github.com/datalab-to/marker

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.202008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 502ee242-ec00-4bfe-9ecf-fa1f03ab2649 · outbound

This paper cites Surya: A lightweight document ocr and analysis toolkit.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Surya: A lightweight document ocr and analysis toolkit

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.205165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99dc6d66-502b-470d-823d-2deba20c07b5 · outbound

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

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Doclaynet: A large human-annotated dataset for document-layout segmentation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.120658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 42e4aeed-1dbf-42ab-93de-92416fc341fd · outbound

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

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing olmocr: Unlocking trillions of tokens in pdfs with vi- sion language models.arXiv preprint arXiv:2502.18443, 2025a

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.039105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 81bd3dd6-80a7-4f3e-82db-f6e7427823d2 · outbound

This paper cites Rapid table.https://github.com/RapidAI/RapidTable.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Rapid table.https://github.com/RapidAI/RapidTable

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.126848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 17d7cbcd-681d-4272-8def-c566e71e047f · outbound

This paper cites dots.ocr: Multilingual document layout parsing in a single vision-language model.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing dots.ocr: Multilingual document layout parsing in a single vision-language model

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.136397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae2b91bf-a4b2-4910-ad9e-61ba3ad00edc · outbound

This paper cites Real-time single image and video super-resolution using an efficient sub-pixel convolu- tional neural network.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Real-time single image and video super-resolution using an efficient sub-pixel convolu- tional neural network

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.139697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a093c681-9128-4104-b413-19487e3d56fa · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.142960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f70ad65b-3350-45c5-b78d-415902720509 · outbound

This paper cites Unifying vision, text, and layout for universal document processing.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Unifying vision, text, and layout for universal document processing

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.155543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 17af5ca7-490f-4b47-a1d1-61f233288be0 · outbound

This paper cites Mistral-ocr.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Mistral-ocr

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.161429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93f37dde-91f7-4890-874a-25a952bcf41d · outbound

This paper cites Qwen2 Technical Report.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Qwen2 Technical Report

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.043633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d51660c9-a1b7-4d7d-8f49-009a4f899987 · outbound

This paper cites Omniparser: A unified framework for text spotting key information extraction and table recognition.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Omniparser: A unified framework for text spotting key information extraction and table recognition

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.170744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3691aa4-84fc-4532-ae02-70616618af65 · outbound

This paper cites Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Yolov10: Real-time end-to-end object detection.Advances in Neural Information Processing Systems, 37:107984–108011

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.174253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1004e3a8-1653-4f9e-a5dc-a5db11d1fcb3 · outbound

This paper cites UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing UniMERNet: A Universal Network for Real-World Mathematical Expression Recognition

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.049356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c7931339-2df4-41a4-abbe-cc18a883d718 · outbound

This paper cites MinerU: An Open-Source Solution for Precise Document Content Extraction.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing MinerU: An Open-Source Solution for Precise Document Content Extraction

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.054130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8e7153a0-26d5-4d20-a281-ed8fa869d40a · outbound

This paper cites Image over text: Transforming formula recognition evaluation with character detection matching.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Image over text: Transforming formula recognition evaluation with character detection matching

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.192783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 05f17076-2410-4fd1-9208-3759224807ea · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.058911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 994d66c7-f5d7-4c88-8908-910037e8a3b0 · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.063507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 95ac9905-f8ce-43f7-aba8-c0db34cf4bc0 · outbound

This paper cites LayoutReader: Pre-training of Text and Layout for Reading Order Detection.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing LayoutReader: Pre-training of Text and Layout for Reading Order Detection

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.068135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30b891ca-a3eb-4600-8eee-a1c01e80bee7 · outbound

This paper cites Vrdu: A benchmark for visually-rich document understanding.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Vrdu: A benchmark for visually-rich document understanding

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.189732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 765ad383-e252-4db4-9a90-bec6d7788331 · outbound

This paper cites General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:50:57.985910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5740e854-0131-47fa-9469-3996b278d76e · outbound

This paper cites CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.078836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 20685813-7daa-4a34-9c0f-8b578341645e · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.083168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52a366ce-7778-499b-b0a9-3e1c069b89e5 · outbound

This paper cites MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.087706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c64bdec-bfed-4055-8992-c5e8dc0bd9fa · outbound

This paper cites OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.092351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 07e0b3f9-3385-4af6-90fe-ea0beeff32d0 · outbound

This paper cites Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.096611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b32a8be-a118-49cc-96d6-abb1e6f9bed1 · outbound

This paper cites Retrieval-Augmented Generation for AI-Generated Content: A Survey.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Retrieval-Augmented Generation for AI-Generated Content: A Survey

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.100715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 942e003c-d139-401d-b390-bb6c219ad5df · outbound

This paper cites DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:25:32.105068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c727ceae-3690-4abf-b417-d1f1dd3bfd21 · outbound

This paper cites Sglang: Efficient execution of structured language model programs.Advances in neural information processing systems, 37:62557–62583.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Sglang: Efficient execution of structured language model programs.Advances in neural information processing systems, 37:62557–62583

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.177658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15bbe352-60a6-4854-abcf-3d9247b7b49e · outbound

This paper cites Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.123813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7bf75f20-0a1b-4ae1-89c0-a39023d19af6 · outbound

This paper cites Image-based table recognition: data, model, and evaluation.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing Image-based table recognition: data, model, and evaluation

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T13:25:32.167584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 89880a42-32d6-42e5-ae30-76fd55f6602a · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-17T13:25:32.109409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 5307e98b-c8c7-4a47-bb0d-32f89cf36d49 · inbound

FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR cites this paper.

FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:20:11.529414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa00f7a0-fc2c-4669-8566-93e8311d8c49 · inbound

Low-Resolution Editing is All You Need for High-Resolution Editing cites this paper.

Low-Resolution Editing is All You Need for High-Resolution Editing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T20:28:22.668743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b66e0d8-457f-4a8e-9507-8d98c1bbc67c · inbound

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

UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameters MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T14:16:50.808178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dcf2ae4-de54-485b-8b49-3ff70fbcc97c · inbound

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch cites this paper.

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 752379fa-e195-4dd4-aaa4-32406bf79e66 · inbound

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

PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c18ac8ea-f245-4968-b645-40226da52518 · inbound

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding cites this paper.

HSD: Training-Free Acceleration for Document Parsing Vision-Language Models with Hierarchical Speculative Decoding MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T23:44:38.680422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7542957f-7bc6-487a-9840-64a2f94a9087 · inbound

DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing cites this paper.

DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:21.931070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb10128-ac5d-4d04-b332-6cae22609192 · inbound

HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis cites this paper.

HVR-Met: A Hypothesis-Verification-Replanning Agentic System for Extreme Weather Diagnosis MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:45.507654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65aa4065-9a5e-4434-97c5-ff115bf9e586 · inbound

Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild cites this paper.

Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T18:54:56.763823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f09890-f0a7-4b23-bd7f-6bc39be97dee · inbound

Logics-Parsing-Omni Technical Report cites this paper.

Logics-Parsing-Omni Technical Report MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dba10c65-cbe3-4939-b45d-da9ad6c94229 · inbound

Visual-ERM: Reward Modeling for Visual Equivalence cites this paper.

Visual-ERM: Reward Modeling for Visual Equivalence MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e5ca173-117e-4cbd-be28-634907b1b85e · inbound

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing cites this paper.

Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eb39dfcf-ab99-401f-b733-d8c5ea767c99 · inbound

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models cites this paper.

Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5e2c53d9-5a58-4515-a350-7428cee67402 · inbound

Parser-Oriented Structural Refinement for a Stable Layout Interface in Document Parsing cites this paper.

Parser-Oriented Structural Refinement for a Stable Layout Interface in Document Parsing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f56fab7-0eb4-41c2-8843-e7566bff37e8 · inbound

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding cites this paper.

CharTool: Tool-Integrated Visual Reasoning for Chart Understanding MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 41be4938-f2d1-4e54-b221-7dbd782dd1e7 · inbound

InstructTable: Improving Table Structure Recognition Through Instructions cites this paper.

InstructTable: Improving Table Structure Recognition Through Instructions MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cef38e2-9ff6-4cf5-9a26-6595a41f6fd1 · inbound

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale cites this paper.

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2733da71-3ba4-4760-9c90-0576bfba7102 · inbound

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval cites this paper.

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8c0534f0-97b8-4363-bd27-665910ca53f7 · inbound

The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design cites this paper.

The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 22de78c7-d998-443e-bf55-9c5167dae9d5 · inbound

The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design cites this paper.

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f03c4df-cb9e-4ae1-92ef-4c05d49cc088 · inbound

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval cites this paper.

Is It Novel and Why? Fine-Grained Patent Novelty Prediction Based on Passage Retrieval MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7c18a55d-5e74-4ea7-acbf-fe93182b4c01 · inbound

How Far Is Document Parsing from Solved? PureDocBench: A Source-TraceableBenchmark across Clean, Degraded, and Real-World Settings cites this paper.

How Far Is Document Parsing from Solved? PureDocBench: A Source-TraceableBenchmark across Clean, Degraded, and Real-World Settings MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb55df40-c513-486e-9e4b-86746d7b6be5 · inbound

Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models cites this paper.

Information Extraction of Nested Complex Structure of Quantum Cascade Lasers via Large Language Models MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a5459e4-6c2b-43ee-89df-a22adc55de57 · inbound

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence cites this paper.

CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-17T13:25:32.206292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29fb8c45-ea74-4d90-837b-d875804041a2 · inbound

UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settings cites this paper.

UniPPTBench: A Unified Benchmark for Presentation Generation Across Diverse Input Settings MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:43:19.443498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c7d8c8c-3cab-46f4-95f8-798f47a7e05e · inbound

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists cites this paper.

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T03:59:32.440279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e8c0c729-5609-4b36-9035-54bf283284c9 · inbound

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing cites this paper.

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-22T06:01:08.740255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 67fa30c4-b48b-47a9-a754-8e52982c1b40 · inbound

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing cites this paper.

MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-01T15:05:48.205995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aed0d763-fb88-4e84-b5cf-0af1f25bea24 · inbound

ABot-OCR Technical Report cites this paper.

ABot-OCR Technical Report MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-29T13:33:28.142642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b12a3b30-40e9-4781-86b7-51ab969ef015 · inbound

ToolGate: Token-Efficient Pre-Call Control for Tool-Augmented Vision-Language Agents cites this paper.

ToolGate: Token-Efficient Pre-Call Control for Tool-Augmented Vision-Language Agents MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:28.922465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a994715f-010f-4de8-9c72-e7859120a4ad · inbound

PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training cites this paper.

PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-02T02:46:28.765289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2834b552-aa6c-49cf-907d-485eda7aab09 · inbound

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild cites this paper.

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:59:45.192479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ad8863fc-922d-48e5-b117-06ef60504f21 · inbound

StrucTab: A Structured Optimization Framework for Table Parsing cites this paper.

StrucTab: A Structured Optimization Framework for Table Parsing MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:24:18.949444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37d3c6b0-0e50-44ae-bfc2-b56fce723207 · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-10T17:07:25.733862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a5f84112-a861-4163-80f5-bffd6f2b7a51 · inbound

Infinity-Parser2 Technical Report cites this paper.

Infinity-Parser2 Technical Report MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T08:03:48.857432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191f36d1-a339-466d-a0fd-6d10bd7dc35b · inbound

DocPO: Advancing Document Policy Optimization via Tailored Step-Aware Rewards cites this paper.

DocPO: Advancing Document Policy Optimization via Tailored Step-Aware Rewards MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T00:46:40.906153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.