Paper Citation Record · LEDGER

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2607.23046.

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

pith.paper-citation-record.v1
2607.23046 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:50:32.524065Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16e403c6-ddf2-4aca-a116-d2781e29b806 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.261580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78acec77-599f-4e94-870c-5afd40ee4170 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial In- telligence.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the AAAI Conference on Artificial In- telligence

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.267052Z

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Observation 44faedac-ef46-4808-aa4f-b7d358d52d94 · outbound

This paper cites In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=2NLkhPex1M.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: The Fourteenth International Conference on Learning Representations (2026), https://openreview.net/forum?id=2NLkhPex1M

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.271574Z

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Observation 14de2fe4-b49e-407e-9ead-a800b46e34fd · outbound

This paper cites Qwen2.5-VL Technical Report.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Qwen2.5-VL Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.276280Z

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Observation b09ba6e7-23ca-4447-b025-060c7af20076 · outbound

This paper cites In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Pro- ceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.281656Z

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Unavailable: canonical work link unavailable.

Observation a774dfab-603b-466b-8c71-b259cf976c0b · outbound

This paper cites In: European Conference on Computer Vision.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: European Conference on Computer Vision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.286382Z

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Unavailable: canonical work link unavailable.

Observation d8679cfb-8a36-4403-848b-d66307f162a0 · outbound

This paper cites In: CVPR (2025).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: CVPR (2025)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.291501Z

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Unavailable: canonical work link unavailable.

Observation 3c1ee93f-1018-41a4-8604-bfdb9dcd8984 · outbound

This paper cites In: Proceedings of the IEEE conference on computer vision and pattern recognition.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.296094Z

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Unavailable: canonical work link unavailable.

Observation e50737ea-5198-430b-8d13-64c18485bbcb · outbound

This paper cites In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.300509Z

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Unavailable: canonical work link unavailable.

Observation 8ef83c9d-387d-4798-8a68-5678c57b27e5 · outbound

This paper cites In: The Thirteenth International Conference on Learning Representations (2025),https: //openreview.net/forum?id=8EfxjTCg2k.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: The Thirteenth International Conference on Learning Representations (2025),https: //openreview.net/forum?id=8EfxjTCg2k

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.304913Z

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Unavailable: canonical work link unavailable.

Observation c7382f62-96bb-4f61-b61f-109f40e98f53 · outbound

This paper cites DeepSeek-V3 Technical Report.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs DeepSeek-V3 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.309372Z

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Unavailable: canonical work link unavailable.

Observation 278382e3-5eaf-4b75-9bbb-2ef940d4915c · outbound

This paper cites an unresolved cited work.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.314104Z

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Unavailable: canonical work link unavailable.

Observation 9163bf6c-9f5f-4149-b283-45105462b4a2 · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Advances in neural information processing systems36, 34892–34916 (2023)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.420089Z

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Unavailable: canonical work link unavailable.

Observation 8e8af1e2-81ce-4fc7-8c01-9cbfc788b0c0 · outbound

This paper cites Advances in Neural Information Processing Systems 35, 2507–2521 (2022).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Advances in Neural Information Processing Systems 35, 2507–2521 (2022)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.424720Z

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Unavailable: canonical work link unavailable.

Observation ddee05e0-11b5-4d8b-b8f9-74efe2aec3ed · outbound

This paper cites an unresolved cited work.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.429435Z

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Observation 86ca9960-9704-4085-986e-c435243d0380 · outbound

This paper cites In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N., Garnett, R

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.433938Z

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Unavailable: canonical work link unavailable.

Observation adbd0a40-3709-4694-ac62-3568030a41e1 · outbound

This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.438344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a5085d-2480-4aaf-a988-21ef7fc0337f · outbound

This paper cites In: ICCV (2025).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: ICCV (2025)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.442680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4f4ef8-bc1c-4a56-a888-e83bb70769b8 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.447186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b96abf7a-2a15-4a40-85ba-ee325407a5a4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Findings

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.451535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a3f2e3-866f-4054-a6de-80fa72ab8459 · outbound

This paper cites In: The Fourteenth International Conference on Learning Representations (2026),https://openreview.net/forum?id=0zIcPe4CtY.

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.455953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e656d4cb-e425-4b01-ac88-0c82304b327f · outbound

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

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.460402Z

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Unavailable: canonical work link unavailable.

Observation a41a2e29-286a-4b6b-aedb-4eb71454165f · outbound

This paper cites Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.465130Z

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Unavailable: canonical work link unavailable.

Observation ccff5abe-c5b7-475d-baa5-88044d7c4319 · outbound

This paper cites an unresolved cited work.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.469739Z

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Unavailable: canonical work link unavailable.

Observation 927f931a-2ec1-4eed-b173-b312efb8a3c1 · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.474118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa712b6-70bf-4991-9366-e577e68ac768 · outbound

This paper cites In: Proceedings of the Com- puter Vision and Pattern Recognition Conference.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the Com- puter Vision and Pattern Recognition Conference

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.478897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593157de-dd33-4ea8-acb8-a091da2ecb93 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.483581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a961a45b-9f44-44c6-955b-f1fd2be3bb81 · outbound

This paper cites National Science Review11(12), nwae403 (2024).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs National Science Review11(12), nwae403 (2024)

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.488129Z

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Unavailable: canonical work link unavailable.

Observation 3ce1d3dd-d1fa-486e-a7a6-6931f65ea1a9 · outbound

This paper cites In: Proceed- ings of the AAAI Conference on Artificial Intelligence (2026).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: Proceed- ings of the AAAI Conference on Artificial Intelligence (2026)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.492609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31e0ae82-63bd-4e86-aa8f-789c4ea6cec9 · outbound

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

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.497038Z

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Unavailable: canonical work link unavailable.

Observation 4c72ec6a-35df-4a07-81c6-bd1faadfce0c · outbound

This paper cites arXiv e-prints pp.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs arXiv e-prints pp

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.501753Z

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Unavailable: canonical work link unavailable.

Observation 1d712359-c0ab-48d8-8081-4f12ab56b5ef · outbound

This paper cites Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.506198Z

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Unavailable: canonical work link unavailable.

Observation c480d6cf-48c6-4f09-ba37-13162da7c9cc · outbound

This paper cites In: International Conference on Machine Learning (2025).

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs In: International Conference on Machine Learning (2025)

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.510683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db71024b-2b65-431a-8028-241d0398ca8f · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.515082Z

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Unavailable: canonical work link unavailable.

Observation 23bfea47-1ecb-423d-8aba-0cd14551af12 · outbound

This paper cites MLVU: Benchmarking Multi-task Long Video Understanding.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs MLVU: Benchmarking Multi-task Long Video Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.519587Z

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Unavailable: canonical work link unavailable.

Observation 529ad669-1c02-4a53-8ccc-ea86bda63ee5 · outbound

This paper cites an unresolved cited work.

Structured Redundancy Modeling for Efficient Visual Token Pruning in High-Resolution MLLMs Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T03:50:32.524065Z

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Pith citing papers

No inbound Pith citation observations are available.