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Paper Citation Record · LEDGER

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension

As of 6 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2606.12898.

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

pith.paper-citation-record.v1
2606.12898 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T07:40:22.259963Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact16
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 872e3f7b-8d16-4285-9fff-f71457732657 · outbound

This paper cites Mitigating object hallucinations in large vision-language models with assembly of global and local attention.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Mitigating object hallucinations in large vision-language models with assembly of global and local attention

Reference 1

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Observation c94cec10-49ce-480e-a81e-f7c6b32ac18a · outbound

This paper cites Qwen2.5-VL Technical Report.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Qwen2.5-VL Technical Report

Reference 2

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ceb4f4b3-f8c3-4352-a649-07dad97ed828 · outbound

This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Longbench: A bilingual, multitask benchmark for long context understanding

Reference 3

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Observation e07c8e4b-642b-4e54-b660-5bbd0e553290 · outbound

This paper cites Lvlm-intrepret: An interpretability tool for large vision-language models.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Lvlm-intrepret: An interpretability tool for large vision-language models

Reference 4

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Observation 78bd315c-1f07-4f4f-8500-3268e69e10b3 · outbound

This paper cites Glyph: Scaling context windows via visual-text compres- sion.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Glyph: Scaling context windows via visual-text compres- sion

Reference 5

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verified exact
arxiv_id, observed 2026-07-03T13:38:19.570608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation fce81375-7118-4f3d-b099-a153309968c4 · outbound

This paper cites A dataset of information-seeking questions and answers anchored in research papers.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension A dataset of information-seeking questions and answers anchored in research papers

Reference 6

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Unavailable: canonical work link unavailable.

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Observation dde99e1e-ae8c-4405-9e89-45b99133db39 · outbound

This paper cites Agentocr: Reimagining agent history via optical self-compression.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Agentocr: Reimagining agent history via optical self-compression

Reference 7

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verified exact
arxiv_id, observed 2026-07-03T13:38:19.562177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 347f56a8-367c-4a2b-9d9d-8c276f89938f · outbound

This paper cites Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps

Reference 8

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Observation 00b7c32a-11b5-4c80-9121-53d8bcd91f39 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3dff2219-31af-4cd6-85a3-fad8fce0e3ce · outbound

This paper cites Effects of topic headings on text processing: Evidence from adult readers’ eye fixation patterns.Learning and instruction, 14(2):131–152, 2004.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Effects of topic headings on text processing: Evidence from adult readers’ eye fixation patterns.Learning and instruction, 14(2):131–152, 2004

Reference 10

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Observation e7f87c81-483b-4b31-b4c7-a3d2e55c001a · outbound

This paper cites Cumulated gain-based evaluation of ir techniques.ACM Trans.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Cumulated gain-based evaluation of ir techniques.ACM Trans

Reference 11

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Observation cfdd5f99-b5f8-4fab-bed3-c2a615432754 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 12

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Observation 37cf1ee0-fb32-42a7-96d6-ec621c7c582f · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 13

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Observation ce114b32-d256-40a0-b090-b629c6af9726 · outbound

This paper cites VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?

Reference 14

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metadata mismatch
local_arxiv, observed 2026-07-03T13:38:19.578741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 37df122e-679b-4681-a177-a208700304e9 · outbound

This paper cites Unveiling the ignorance of mllms: Seeing clearly, answering incorrectly.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Unveiling the ignorance of mllms: Seeing clearly, answering incorrectly

Reference 15

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no resolver link, observed 2026-06-27T07:40:22.259963Z

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Observation f3bf9c70-720e-4e44-a328-af27934c0623 · outbound

This paper cites SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence

Reference 16

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metadata mismatch
arxiv_id, observed 2026-07-03T13:38:19.564760Z

Source-reported events for the cited work

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Observation 37d9e875-573f-4059-8d3a-5d4e83668ae0 · outbound

This paper cites Seeing but not believing: Probing the disconnect between visual attention and answer correctness in vlms.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Seeing but not believing: Probing the disconnect between visual attention and answer correctness in vlms

Reference 17

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arxiv_id, observed 2026-07-03T13:38:19.567381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 597768fd-ee8f-458a-a568-afa1aa8581da · outbound

This paper cites Evaluating very long-term conversational memory of llm agents.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Evaluating very long-term conversational memory of llm agents

Reference 18

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Observation cb3aa9b3-4f6c-4c01-b557-18a656e2569a · outbound

This paper cites In-context Learning and Induction Heads.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension In-context Learning and Induction Heads

Reference 19

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local_arxiv, observed 2026-07-03T13:38:19.550704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5e861b1b-d57d-4e9e-99ad-8549bbb9d703 · outbound

This paper cites When text-as-vision meets semantic ids in generative recommendation: An empirical study.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension When text-as-vision meets semantic ids in generative recommendation: An empirical study

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 354b6097-e54d-4d6b-a74b-880ffbe442d6 · outbound

This paper cites Eye movements in reading and information processing: 20 years of research.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Eye movements in reading and information processing: 20 years of research

Reference 21

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Observation 98917a90-ca09-428e-8586-7d29316c5150 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 22

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Observation 3c4e548f-6993-4a5d-b792-165249451cd3 · outbound

This paper cites MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension MemOCR: Layout-Aware Visual Memory for Efficient Long-Horizon Reasoning

Reference 23

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local_arxiv, observed 2026-07-03T13:38:19.575891Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 84f6fff0-f032-4d9f-92f3-5a28b340f55b · outbound

This paper cites Qwen3 Technical Report.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Qwen3 Technical Report

Reference 24

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verified exact
local_arxiv, observed 2026-07-03T13:38:19.559344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation d681fd5d-2ee5-4ad1-8c06-80165d745fe3 · outbound

This paper cites Newsqa: A machine comprehension dataset.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Newsqa: A machine comprehension dataset

Reference 25

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Observation 9fdc5816-b573-4a74-86a0-af4a741435a0 · outbound

This paper cites Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554, 2022.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539–554, 2022

Reference 26

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Observation 93b91472-d1e3-4592-a7e8-f06c3f264503 · outbound

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

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 6aada440-7f64-4012-9a81-ee9354b444eb · outbound

This paper cites Vtc-r1: Vision-text compres- sion for efficient long-context reasoning.arXiv preprint arXiv:2601.22069.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Vtc-r1: Vision-text compres- sion for efficient long-context reasoning.arXiv preprint arXiv:2601.22069

Reference 28

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arxiv_id, observed 2026-07-03T13:38:19.553767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 896b7fb7-92b4-409f-9a6a-0b7c2814ef78 · outbound

This paper cites DeepSeek-OCR: Contexts Optical Compression.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension DeepSeek-OCR: Contexts Optical Compression

Reference 29

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local_arxiv, observed 2026-07-03T13:38:19.567426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1c3c03fa-433b-4a43-b0ef-94cc163d0a32 · outbound

This paper cites Deepseek-ocr 2: Visual causal flow.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Deepseek-ocr 2: Visual causal flow

Reference 30

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arxiv_id, observed 2026-07-03T13:38:19.570386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 043bd2ec-28fb-4aee-aa93-e1fe2c849ce2 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 31

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Observation 05e15a62-a43b-4c75-81e3-44f3872db4aa · outbound

This paper cites Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach

Reference 32

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arxiv_id, observed 2026-07-03T13:38:19.575793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T07:40:22.259963Z digest=sha256:3e576df12b6bd652da09ee239c37a87f4859c2b9b8139d0f9eaece6ed1f2d445

Observation 4df58921-b3e7-4eeb-bd7a-2596e3b6c7b1 · outbound

This paper cites Towards knowledge checking in retrieval-augmented generation: A representation perspective.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Towards knowledge checking in retrieval-augmented generation: A representation perspective

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-27T07:40:22.259963Z digest=sha256:4c636da1c5d927cf14230e56ff28433461d6286b2229f4d014f2e3b2e5c7e327

Observation 9a6e910b-a3c9-4dff-b927-491a06d70c1c · outbound

This paper cites Attn-gs: Attention-guided context compression for efficient personalized llms.arXiv preprint arXiv:2602.07778, 2026.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Attn-gs: Attention-guided context compression for efficient personalized llms.arXiv preprint arXiv:2602.07778, 2026

Reference 34

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verified exact
arxiv_id, observed 2026-07-03T13:38:19.543057Z

Source-reported events for the cited work

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Observation 7ba48b8e-e883-4b25-aac7-fb78d822a653 · outbound

This paper cites Vtcbench: Can vision-language models understand long context with vision-text compression? arXiv preprint arXiv:2512.15649.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Vtcbench: Can vision-language models understand long context with vision-text compression? arXiv preprint arXiv:2512.15649

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:38:19.573256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 706788ab-f6cb-482d-84a5-a18147b4c42b · outbound

This paper cites VEA and Baselines Implementation Details.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension VEA and Baselines Implementation Details

Reference 36

Resolution
malformed identifier
arxiv_id, observed 2026-07-03T13:38:19.545645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T07:40:22.259963Z digest=sha256:8390cd5d722988910dbcaa28d383001900849efcadbe6e653cc29067ed75c298

Observation 7a002897-a269-4ee1-a91f-190fb8498acb · outbound

This paper cites Justification: Not applicable.

Magnifying What Matters: Attention-Guided Adaptive Rendering for Visual Text Comprehension Justification: Not applicable

Reference 37

Resolution
unresolved
no resolver link, observed 2026-06-27T07:40:22.259963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.