Pith. sign in

Paper Citation Record · LEDGER

Structured Attention Matters to Multimodal LLMs in Document Understanding

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
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:e404005d8fb5ede7df402aefce01192703ce983a8400868df1eaa1af9d99878d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:36.657341Z digest=sha256:206cf222ae47fab2bd0025bdcfbc309391cb7d4b755f8c35a6743b7239bfbeda

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:ee7bf60c411dec533ba2fff2f88733808eb903bd9d50721736ee9b26b665f78f

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=sha256:59a2d7a90aef8c8a1c0e4224fbc4a8a28814a2c3df3ce1a8d48780420e9e3b6f

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=sha256:0f194f66a06d94a85a0b64c1ed841f94943e7814d3b9e205022da28e5e964e0a

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=sha256:022ac057268524c8c01e53109099bae1ab87206e7687a7de35aadc85e57172e6

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=sha256:76464478ea319113cd696d69c76d660ec44b2fc3c50dd23acbced5624360ece5

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=sha256:122c82b6efb2e07d9cabc92fe3e3dc2b738641fa43cb4d90dd34d967ca71471e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.571320Z digest=sha256:3f85dccb4c1ac99e76b5980f14f460823d29b3b8d15d51e64eee6d144af4d61a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.737502Z digest=sha256:f705bb7b39ddf5a14362da1c6acd5247277693ec43ad378fe821797a79b22349

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:37.851387Z digest=sha256:b9f0a7f7659b886242a27118b402667526cc26b0122c1691b2031882de698078

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=sha256:72956e113b62dba6040cf9cdbd2d64bb466809502839a644b204b3ecb43a9034

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=sha256:5f803065b67941365a8fca1e266016da049dce5313681f3a29e2adbd9cea7324

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=sha256:0ed6f10ab2caeb691788eef11316ef1bdb85dfe448a6db75f12bb3019a003c07

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=sha256:2b1d6b2046c3ce07a11e45e9b5a789ce09c24dd0ee9e6cec6f4d0f4b209d1aaf

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:fc8d9edd6ec6d5eee4138217cf0593e7bda02e44c33b83d42e7ba9330d5e5b14

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=sha256:649ce9690e481ddeed2fcd1d6ab5cfd7b37b3765bbb1f931bb4aa1d56ce9c6a4

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:bde9196f3e76d745deae4711abe3fb50f20da0a2ef83f66f55b6640cfa7c73be

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=sha256:96bae4aa7905c3ea50d4279b86a4b92de7ba9ef09a6904764867ef0d347df55a

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:c7bd9078f5bc0ac63fc1ca93977f0f5961aa2ce4f2c00970a3b725c3877efef6

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=sha256:4a2de4e63d086d40b758c8bf308fea398d06d019996322ff6cf2952711a231a7

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:b6556d89eb97e9ca9f81444b1cb39bf43fed8b1494cb7d8f34a7b3e4631aecab

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:e765f6a53cf952a498034a32ca035b07811958d10575076263338193c048a74b

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=sha256:167b2bcc00feac8380d9903ba5197df09632bef45e50a170c01e5370f22565c9

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=sha256:0fce9a2d794bc8d7bfc5ea1e6f0d29b2d2b1cccea0696ccde0a19ed7029caa77

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:bfda55b8b6dc2b12d8cf042ec933cd45a51a8a59238e53e41f921dc8c7ee0452

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=sha256:0ecb16c4ebc2c6ccbb2fbd2d64ac112f567ee0eb4c952fa69cfbdc51f5f3e10e

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:dff4166b2679babb4c6c11e1b2b02dc86b8624fdabca9434263108e07661433a

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:d920a0245197698e162f61ca8a2baa2a1847af1376e6025ea74bcd46967f869d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:39.392380Z digest=sha256:a4ce382bd0f3271097f5ab3a08ad435248c2dd7423c61ab5ae324c3cca6c59ea

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=sha256:7a67b3607d38a77c01f7d560cd056d8ebb527466fb03dc78958c06d658344c08

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:47:39.580634Z digest=sha256:b3d6cb2f70cd0cbd50eda6d16fc0ea3017894de4652bb364d2c6945117aa1194

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=sha256:96b11a2fefcd6ed61b5c3f49d562cc2f83793372cc7a87473446a1b13a8ced9a

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=sha256:33cd1840827dfc3ac2b103638be532db750c41c3d5b7040ed7c57242fdf081bf

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=sha256:04dc11efecf8bb1e85e907a68b88ff26de47fd02856fe4db120eff272b128770

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:ced4081f780d220fe86de5e3fcdc8cda5d3209d1492b06e1823e44cf42a7be57

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=sha256:9f39192e1752f728bef0825848a5f35f5a62976618e4779329ae0f99da1ade73

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:47:40.108730Z digest=sha256:e91731442c425f3575b488fbfd102efeb7c2a76afcc3db7a4be45f9f07cafae3

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:15:02.124035Z digest=sha256:5bbfbc2267d7d1bb16a3cff3e965e2a3905a12825ea681b79c2cf95fe61c0c2a

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T17:57:52.084110Z digest=sha256:353aa3b6a7a944338148e6c09f813edbd31ae195ceae36e56038486d272db388