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Paper Citation Record · LEDGER

Structured Attention Matters to Multimodal LLMs in Document Understanding

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 2 inbound Pith citation observations for arXiv:2506.21600.

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

pith.paper-citation-record.v1
2506.21600 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:47:40.108730Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T17:57:52.084110Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T18:02:42.492424Z

Reference resolution

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8acd3730-8961-4a10-b342-12ef1c3cf138 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Structured Attention Matters to Multimodal LLMs in Document Understanding Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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unresolved
no resolver link, observed 2026-08-06T23:47:36.566350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:36.566350Z digest=sha256:9dcce26b4ebe74af8cce5be318db98ad8e042f4c410f29478655e68932e81327

Observation 30a5f94e-8089-4023-aafe-5992018c9785 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:41.547846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:36.657341Z digest=sha256:15522179f89bdc2f723d59ef3daec0da265afba95d63eafe989d1e768bcff705

Observation 0600b700-e1d4-4e72-8565-2a090f881c25 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Structured Attention Matters to Multimodal LLMs in Document Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:36.875706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:36.875706Z digest=sha256:6fd3a3971f2b97456efef8bcfabc151b1a95434390e12fe66ea5749342f54da5

Observation cc0b3ef1-c3a8-45bf-98d5-2e55cdffdfb5 · outbound

This paper cites LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models.

Structured Attention Matters to Multimodal LLMs in Document Understanding LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.029513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.029513Z digest=sha256:b4bac19971312e0a9ee0a98c5f547d4a642a68d7f1d8b7b60fbaa6f10553c57d

Observation 218b0545-9730-4ecd-87a5-7850e7bc3386 · outbound

This paper cites MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.

Structured Attention Matters to Multimodal LLMs in Document Understanding MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.157188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.157188Z digest=sha256:d03f4101811543abea7fa884fe34d96b931e96d28f49627d0d1a10d7e7bbdceb

Observation b077fc46-2dbd-4faf-b1fd-3de8e4d6d3c6 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.248482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.248482Z digest=sha256:f09db0dd0ee0e1611bc3ba6fc8718cb4ab065f8dbedf455dda5dc1ce36715580

Observation 9cac0801-9dc0-44f0-8672-3fb25f9d59a4 · outbound

This paper cites M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding.

Structured Attention Matters to Multimodal LLMs in Document Understanding M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.341207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.341207Z digest=sha256:2f9178739e5359c01d0de219484381fc1610e5c4d053abcefdaf2fcb0a1011cf

Observation 557e9e11-9923-40e7-ab49-7003a7901d62 · outbound

This paper cites LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating.

Structured Attention Matters to Multimodal LLMs in Document Understanding LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.435685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.435685Z digest=sha256:6e7604f4c14384624da5a8234454cd89f741ff45ed04fb3aa945c61c15072e93

Observation c149758f-e1cf-48a9-93a7-df7ed2b5513e · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:41.365001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.571320Z digest=sha256:7174a54ae1f42e47c96cc79e7870dcdf15ff7474cefb072f69b9c760736b1abe

Observation 930e6e95-fd3f-40d4-aba1-44aa6cc5134f · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:41.188742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.737502Z digest=sha256:995ea940c9a6b8e231d0219f6112693e2df28630c42b873b231f18fd4cd2bf9b

Observation bef3c24d-2df9-44be-96b1-744e84eb9ba4 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:40.966549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.851387Z digest=sha256:81bfa2c78bc6f2d092fac9c66c947a35ce86a10e419c3adaf79797aee4227ec9

Observation a3cc50d5-40d3-4842-8a6f-5866ae0646cb · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Structured Attention Matters to Multimodal LLMs in Document Understanding Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.917233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.917233Z digest=sha256:1c3d57d8990479fc2d077d10333fd013dc1e91549bf5e5e5aa6341377884f56a

Observation 412043ba-676f-4dd1-b790-7765516916aa · outbound

This paper cites MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding.

Structured Attention Matters to Multimodal LLMs in Document Understanding MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:37.986765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:37.986765Z digest=sha256:0dbfc553fa191656a7661829804f477fa3cde41caf5ca3c446c9d558c9741227

Observation 57b3f667-02d7-41d7-844d-fc169ac4be3f · outbound

This paper cites mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding.

Structured Attention Matters to Multimodal LLMs in Document Understanding mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.065585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.065585Z digest=sha256:c4d2b1f7754e4a903fbfca3cd23bdb650f0120d844c280415ce2a837a5b60dda

Observation bc40964e-1550-4d09-b463-3499dcb808a3 · outbound

This paper cites UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis.

Structured Attention Matters to Multimodal LLMs in Document Understanding UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.127865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.127865Z digest=sha256:ec388d30fb4d9024f66620b9df3f90ed539613a9e037e0c3b0de27df60fe372f

Observation 239b6cb1-c075-4c1e-bba7-b8492bc6a064 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.192562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.192562Z digest=sha256:b5745f10c3d800f4d096898d4e19fa39a1a8f2a43b5c62f3176806d101de83bd

Observation 2eec2257-a166-4c77-9288-4436926707e2 · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Structured Attention Matters to Multimodal LLMs in Document Understanding u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.260351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.260351Z digest=sha256:fa4e23370bb0600b6e2c0db6627d84c9b244bb9a92df58dca18475cf915d27b6

Observation 9aa53227-272b-4a98-a7e1-e2a0188a9358 · outbound

This paper cites MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Structured Attention Matters to Multimodal LLMs in Document Understanding MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.340852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.340852Z digest=sha256:b49c0bac46626936771a739d852fc340a47052a9c9f53ae964268075e794c4dd

Observation ebc8cab7-81b4-492d-88e4-331a0e42a767 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.403982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.403982Z digest=sha256:dd87e818f3b566d6ef736ab12b80cd5a09456cb076921340c4451e69600e56b5

Observation 2990d5ee-d5e0-4891-a994-6db0ccb3a5a5 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.468043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.468043Z digest=sha256:8fcceb73be35eb951af9e2acdf65e19a23b5248131cf9a042be669f06e4f9b20

Observation 0a80537c-96f4-40f2-b0c5-5b88f29a12bf · outbound

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

Structured Attention Matters to Multimodal LLMs in Document Understanding TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.535627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.535627Z digest=sha256:c468590687c0f8daddd29f58dbe0b143e7d8bc02028c26e8ec9c9d1eccb06be8

Observation d6017804-7895-448c-a87a-29dde3b08fba · outbound

This paper cites From Text to Pixel: Advancing Long-Context Understanding in MLLMs.

Structured Attention Matters to Multimodal LLMs in Document Understanding From Text to Pixel: Advancing Long-Context Understanding in MLLMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.551116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.551116Z digest=sha256:b85a83054862f99493d61034aa503edd0f4fe3e52009ace7d9820ea253f1021e

Observation 79f003c5-613d-490b-919f-c1a4b29a166a · outbound

This paper cites MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations.

Structured Attention Matters to Multimodal LLMs in Document Understanding MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.698127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.698127Z digest=sha256:818d1342fd651028e99026fbbe52a9bf3edff9ef500d762b1a0d2ed8ba040a08

Observation b1ca93ba-e2ea-40ef-a9fa-ae333345dcc7 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.746488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.746488Z digest=sha256:c4af15e85b3e02556691e05ec9f81f9dcb01734dc0b46f6f97507d87b5eee342

Observation d8faca11-f4e7-4fca-9394-9ae8d4b3c52c · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.889106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.889106Z digest=sha256:87d03f1e055eb7c87483c52fcede2eecc4ccf32c921745e4132b6c79fa505bb4

Observation ff12f5d0-58bc-4e1d-b5f3-148668ad2fd0 · outbound

This paper cites VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation.

Structured Attention Matters to Multimodal LLMs in Document Understanding VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:38.950010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:38.950010Z digest=sha256:3b741f1d5f3b991cc2f2c8ccc721e061a0481d1858f33127db59e9156f2fb577

Observation 19f8b03b-c390-4246-bd4f-b382c59da653 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Structured Attention Matters to Multimodal LLMs in Document Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.053741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.053741Z digest=sha256:2aedf7d8152544f864394384875c86bf6c9834ad37bd905260e35981e63a77c5

Observation b047a5f4-3c5b-48f0-ad3a-3f8577e8d406 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.158696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.158696Z digest=sha256:7e5ffc602c34b15bbcb448a371da048db6d6f27cb09ac3c60a2bfbbe6259b75f

Observation be76b27f-c18f-47c7-b5b5-5781ca506340 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.293516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.293516Z digest=sha256:8f3e1303b4a874a238cd0b51bfd0e2998ccf4de3d28db654ac22c5075e635581

Observation 7c8db10b-9047-42fc-952b-08b260ff7073 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:40.770888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:39.392380Z digest=sha256:4496f555651a1bb00cf9433c479353949ea268db2c57d33980da49208646f0a6

Observation ec82f0cf-2614-4cab-a515-ea9b2e0d0c18 · outbound

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

Structured Attention Matters to Multimodal LLMs in Document Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.500538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.500538Z digest=sha256:d0e70ec6d15ce626dacafb1a98fde115d22eee1119bfb4f18d15e4b56b7e1fb5

Observation 82d1ece3-d31b-495e-8403-dbc485ef6800 · outbound

This paper cites an unresolved cited work.

Structured Attention Matters to Multimodal LLMs in Document Understanding Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:47:40.560631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:47:39.580634Z digest=sha256:bbe18f2b5d53938669c96666cd1f1691083647793967378b029734c932a9ee1e

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

This paper cites mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.656467Z digest=sha256:9c2e874986d2f8c8417b9c00ff0d0147e0dd0cee3cf4d9eac2d6c564c151fd13

Observation c30a6f23-c116-4a52-8b63-fd0d3e0629e1 · outbound

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

Structured Attention Matters to Multimodal LLMs in Document Understanding OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.775273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.775273Z digest=sha256:f5a3b746a1a5901bdafa7f1884b78e81157f4ec154c20c70cbdeecd44239d0b8

Observation de3b0a21-a37f-471b-b485-d88fd6c34fe7 · outbound

This paper cites Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

Structured Attention Matters to Multimodal LLMs in Document Understanding Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.833498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.833498Z digest=sha256:f787cbce0010e826222d9d720ea0a529e4d27f967db17883e57bc9c656fc7e0b

Observation 7a4a81ef-f858-4a2b-89e4-0bbc5135869a · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Structured Attention Matters to Multimodal LLMs in Document Understanding MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:39.913987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:39.913987Z digest=sha256:686ee41b8dae910d4558828189bddb3c3a28c9481bc094d21d3784d6a30c8fcc

Observation a140df1b-6ba0-4536-8ff6-00458565147a · outbound

This paper cites URL: " 'urlintro :=.

Structured Attention Matters to Multimodal LLMs in Document Understanding URL: " 'urlintro :=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T23:47:40.022629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:40.022629Z digest=sha256:95c939a71ed4627516530aa41a633abfecf042d03cc245f8c76cdf75e542253c

Observation 822ab7c7-3dac-4a47-b228-fcb439828671 · outbound

This paper cites write newline.

Structured Attention Matters to Multimodal LLMs in Document Understanding write newline

Reference 38

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no resolver link, observed 2026-08-06T23:47:40.108730Z

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source=arxiv_source observed=2026-08-06T23:47:40.108730Z digest=sha256:8a8f6a85adf155856d5df94bbf1a5ae9c83b88cd6f893c00de59437de55e49ed

Pith citing papers

Observation 7d9945e1-f706-42c4-ab82-c9d1b362c3f6 · inbound

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG cites this paper.

VideoStir: Understanding Long Videos via Spatio-Temporally Structured and Intent-Aware RAG Structured Attention Matters to Multimodal LLMs in Document Understanding

Reference 93

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metadata mismatch
arxiv_id, observed 2026-05-10T23:15:50.268399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 20f42834-92cd-4a98-8b25-b80d443d2d51 · inbound

GenAI-Driven Approach to RISC-V Supply Chain Exploration cites this paper.

GenAI-Driven Approach to RISC-V Supply Chain Exploration Structured Attention Matters to Multimodal LLMs in Document Understanding

Reference 30

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verified exact
arxiv_id, observed 2026-05-19T18:02:42.493996Z

Source-reported events for the cited work

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