mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding | Paper Citation Record

Observation 552b7a20-9103-4138-af8e-9e7ac74207fe · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:56:42.407056Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d4b8cd34-6934-476d-8aab-f6f555e1387c · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:18:51.774332Z

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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T04:09:36.354084Z

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Observation 1c2852a6-e767-40dd-90b9-a368384dc822 · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:20:36.308851Z

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Observation ca4339bc-d3f9-4dc1-81b3-4fc30fb7f0ce · inbound

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

General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T20:50:57.899919Z

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Observation cd5b616a-9db4-4433-8e40-f861a0281528 · inbound

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling cites this paper.

PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:23.728217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f82e1aa3-ea2a-405e-8e62-5e676a63ff1d · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:37:25.863817Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3725caea-2055-4b6d-afd2-24a2cf74229d · inbound

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices cites this paper.

BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-12T19:33:01.046270Z

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Observation 3ea1d49c-3ff7-4efb-81f6-a1562d4e110c · inbound

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey cites this paper.

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T23:54:23.314292Z

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Observation 275ad23c-29ba-4d86-ab9c-d17dcc0f2072 · inbound

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions cites this paper.

Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T23:17:44.741480Z

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Observation 05e16f75-503e-48f9-861a-2a58642a65e1 · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 294

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:22.638715Z

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Observation e974b614-b4b3-4f7f-bdfa-88217caad9ab · inbound

LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining cites this paper.

LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T12:09:03.961608Z

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Observation 8da39107-c5a1-4406-a17c-8cc8c739aa9d · inbound

From Elements to Design: A Layered Approach for Automatic Graphic Design Composition cites this paper.

From Elements to Design: A Layered Approach for Automatic Graphic Design Composition mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T00:06:12.390006Z

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Observation cdb693c1-9c97-4b31-b968-addcf92fd827 · inbound

Slow Perception: Let's Perceive Geometric Figures Step-by-step cites this paper.

Slow Perception: Let's Perceive Geometric Figures Step-by-step mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T23:21:42.690920Z

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Observation 1b457a58-b9ae-41d7-981f-999f974956ae · inbound

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking cites this paper.

Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T23:16:54.889462Z

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Observation fd1ab135-9013-424b-9169-dbc158c19fcc · inbound

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

OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:33:26.778534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation defa629e-8143-497f-8995-6a7095da0f6b · inbound

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends cites this paper.

Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:28.084106Z

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Observation b40ba76a-3d62-49c7-8a50-52de43bfd51e · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 290

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:10.024946Z

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Observation b9c431f3-29a7-40a3-8006-5dbebc659c34 · inbound

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

Ocean-OCR: Towards General OCR Application via a Vision-Language Model mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T14:14:54.796461Z

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Observation 2e866717-1d12-4ccf-bf1b-c775db334c8d · inbound

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers cites this paper.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T13:38:18.879391Z

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Observation 793e0fc3-89bc-46e8-bca9-fba460646b40 · inbound

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization cites this paper.

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:04:22.784774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4b35a914-4d46-41a5-8e7f-974d3018cb85 · inbound

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models cites this paper.

Growing a Multi-head Twig via Distillation and Reinforcement Learning to Accelerate Large Vision-Language Models mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:02:17.769640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f7d9831-2036-445d-acc1-bd80ebf19868 · inbound

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning cites this paper.

VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T05:53:23.176102Z

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Observation 922212e8-41a2-47e2-8247-2eb451015deb · inbound

GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling cites this paper.

GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning Decoupling mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:01:15.578722Z

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Observation 8f853f63-5d03-4a70-b316-80e57e437fed · inbound

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? cites this paper.

WildDoc: How Far Are We from Achieving Comprehensive and Robust Document Understanding in the Wild? mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:42.005297Z

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Observation 2d1152ff-f775-4bbb-8ec6-57a697ca8c0f · inbound

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

Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:30.576365Z

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Observation 6123c3b3-0e54-484e-b7dd-3352b9d48e95 · inbound

Clapper: Compact Learning and Video Representation in VLMs cites this paper.

Clapper: Compact Learning and Video Representation in VLMs mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:47.848486Z

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Observation a3f2b3ba-ba36-44b4-85d1-72b640d28a8d · inbound

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion cites this paper.

Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T14:37:53.457998Z

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Observation ffcb8151-50dd-4afe-9c37-6c0203142738 · inbound

Doc-CoB: Enhancing Document Understanding with Visual Chain-of-Boxes Reasoning cites this paper.

Doc-CoB: Enhancing Document Understanding with Visual Chain-of-Boxes Reasoning mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:40.379294Z

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Observation 924717a1-24cd-45db-99c1-8602fcd9fe8b · inbound

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion cites this paper.

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:06:50.252890Z

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Observation f6d2e2b8-8e95-45c1-8ff7-cd7cace1d5df · inbound

Structured Attention Matters to Multimodal LLMs in Document Understanding cites this paper.

Structured Attention Matters to Multimodal LLMs in Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:47:39.656467Z

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Observation 4b668490-1497-4a9e-ba9e-36a94dd2cd0e · inbound

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation cites this paper.

Single-to-mix Modality Alignment with Multimodal Large Language Model for Document Image Machine Translation mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T18:43:21.088382Z

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Observation 2454a794-357c-430c-9d0d-367ccdaf14d4 · inbound

VDInstruct: Zero-Shot Key Information Extraction via Content-Aware Vision Tokenization cites this paper.

VDInstruct: Zero-Shot Key Information Extraction via Content-Aware Vision Tokenization mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T17:59:07.342834Z

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Observation a032bf00-e823-4686-9959-b392ac51eed5 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.350623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 72b07ee6-91d8-4aa3-8d59-51d67e29215a · inbound

Docopilot: Improving Multimodal Models for Document-Level Understanding cites this paper.

Docopilot: Improving Multimodal Models for Document-Level Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T15:57:04.975519Z

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Observation 0deda2f6-0968-456e-a19b-f59e3ea0d9f2 · inbound

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding cites this paper.

Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:56:01.635607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d97af87a-dda4-48a4-ab70-dfe2e3584110 · inbound

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

InstructTable: Improving Table Structure Recognition Through Instructions mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:58:16.038985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 55a49441-a1a8-4ad4-9196-273bfdafe020 · inbound

CPT: Controllable and Editable Design Variations with Language Models cites this paper.

CPT: Controllable and Editable Design Variations with Language Models mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:51.622018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b04b076-e704-4649-8935-650c895e0e26 · inbound

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization cites this paper.

Improving Layout Representation Learning Across Inconsistently Annotated Datasets via Agentic Harmonization mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:50:58.300577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66a90a39-25bf-43da-836c-38ff35a6b6e3 · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.486108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation eeaf4af3-5576-49c6-9670-71318ade87d9 · inbound

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding cites this paper.

DocSeeker: Structured Visual Reasoning with Evidence Grounding for Long Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:24.507739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9aa1bb3-8649-49e7-a2b6-482da0b6da85 · inbound

Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval cites this paper.

Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.416164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 260e67b2-aaaa-497b-8ef6-f37e8d9c6d05 · inbound

LLM Agents Can See Code Repositories cites this paper.

LLM Agents Can See Code Repositories mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-27T05:30:36.093677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 65af3fe7-43ec-47db-8b30-253a1489eb4d · inbound

LLM Agents Can See Code Repositories cites this paper.

LLM Agents Can See Code Repositories mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T04:46:26.190461Z

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Observation 3bbb07e4-ee82-4607-9762-d4ee6dd4254a · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:44.032383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c091df3d-a442-4ea3-82ba-d232b2938d98 · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:30:07.783753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66a0e3c9-5836-4a18-908b-d3b9bdbd9293 · inbound

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity cites this paper.

Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:23:51.235675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28144c9c-5287-4997-b2ff-b722feec3549 · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 114

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

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Observation dd04d064-6e10-4f74-8517-0dc5168f0875 · inbound

DeCoRAG: Cognitive Decoupling and Semantic-Aware Cropping for Complex Document Understanding cites this paper.

DeCoRAG: Cognitive Decoupling and Semantic-Aware Cropping for Complex Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-31T11:50:16.975786Z

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Observation 5f55687b-0776-4368-9f17-49dfe5daaebf · inbound

XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding cites this paper.

XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T01:39:07.816209Z

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Unavailable: canonical work link unavailable.

Observation d44975fa-5d17-40c0-a7a4-11d836af12bf · inbound

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin cites this paper.

Learning to Predict Middle-Layer Attention in MLLMs for Visual Token Prunin mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T04:30:14.347023Z

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Observation f114d9c3-8704-4518-bafa-06da7d6b8d6d · inbound

InSight-doc: Agentic Visual Perception for Long-Document Understanding cites this paper.

InSight-doc: Agentic Visual Perception for Long-Document Understanding mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T20:43:51.739388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

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