Pith. sign in

Paper Citation Record · LEDGER

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2505.20100.

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

pith.paper-citation-record.v1
2505.20100 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:08:11.296096Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:57:56.582528Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:57:57.254203Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71c38705-e07d-4bc7-b2ac-ffdc02face53 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:08:12.301984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:08:07.334198Z digest=sha256:06bff41e2870cdc73485fe64533f5d71b7487b4c3af20203f92eae58e910e66e

Observation 2632c7f6-f7db-4558-b5f4-5fa871d22dc3 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:07.469918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:07.469918Z digest=sha256:46c7e6faa66446516b9fb9cec01372a3e5519504fb6e1d64b94fb7641fa0605e

Observation bc8321d9-4ebe-4ec6-9b16-5f6864a728b2 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:07.651269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:07.651269Z digest=sha256:788b462dc42661cd09b5f02319637f6c15bcb1923170a288e1d6edf0740ae261

Observation 6254fc63-920a-4b5f-87a6-2df08e1a02d5 · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:07.824929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:07.824929Z digest=sha256:3699d4a823192417d7f2720fce14088dd860985b66afe44c8a8bc01bdf6b819c

Observation b0622fd0-cdb1-4abe-8054-84a79293f9f5 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:07.940796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:07.940796Z digest=sha256:6adf8a05fcdf9aaf2aab1be8a5db82d8593759035294d23ebae6191d6c7ae2cd

Observation f923c722-715d-4bfb-9910-bc41f5fbb8fd · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.008568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.008568Z digest=sha256:d3e6e7042bb07296459325a105a70be498c441c65ebd2084bd729b136dc178ad

Observation 534f4d18-7d34-49ee-85ae-c58f6212dcc6 · outbound

This paper cites Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.089865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.089865Z digest=sha256:600e405d221977b2b59a812e84bd73458fff4c55a1441b92635ecf096bd67766

Observation a8546b57-4fee-4192-901d-55c9b19b1f6d · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.176479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.176479Z digest=sha256:e7adaaf6a6828003256b6fa88d8b0fbe53d5cf1324832c4a191708b846796c84

Observation 1c896fc2-dcc5-492d-9fb8-479e882bc975 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.244315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.244315Z digest=sha256:ef82e910edad268cf924c470ce39e8106cdbe56845fac2c6dfede2d62a46e31b

Observation a6e6a82e-f71a-4c19-8fb0-484b227b7c9b · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.362280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.362280Z digest=sha256:57f1ee7edbe8561561aaeb7ff228037340347dcb6078a20b71215b151ee17c2c

Observation 6d01685b-994d-4601-b622-0ab88a9f2b8f · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.441927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.441927Z digest=sha256:da9227ba2ce7890533a9671655cdc7f8b37eb1b09f49df52951ab88dc18e2d50

Observation 6a74b289-d8f6-4edf-8326-1d43112a9d3a · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.604098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.604098Z digest=sha256:63773fbaaa4fece1f4947dedaee94c045b3c122b10a3c28c178c95a71051d66f

Observation 5881e8b5-c92a-453e-9282-cec7857fda4a · outbound

This paper cites Token Pooling in Vision Transformers.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Token Pooling in Vision Transformers

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.722595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.722595Z digest=sha256:2026ff81f8cbebf630c9d7338c89d7b2f6364c2a90ef0ce2b203de3ca6ba4b81

Observation 28b71577-081d-48db-9b00-002d3184eb0e · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.812415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.812415Z digest=sha256:098f6bf3deb9092696f4b8da747f19b4b29e1cd1e874b687bb9818741b8282e4

Observation 60050535-e83c-40ad-860c-0162b6037cca · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:08.931794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:08.931794Z digest=sha256:d9196c57240863727e0c6a48fe81a040a84d566ba70587d2ca6ce003f061614d

Observation 7efea8a8-b5aa-4968-98cd-7a1618d18b7e · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.028514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.028514Z digest=sha256:18f90f6e07298adcab5c88c8996b2762bd56f3231699887df7d4afdddbbf0d0e

Observation e5a98b9c-3fd7-4452-be25-fa03219ee3e9 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.144568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.144568Z digest=sha256:e34e2dc2992851c3e48994c04e18e6930712a6c2a6b233a733fe8e1d6d377876

Observation 52f69615-1a5e-44bc-b7fc-b0b73babfd78 · outbound

This paper cites TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.248749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.248749Z digest=sha256:2f92b5ecd888f1d03ec9569ccfab2dab49bf411eed98592598a56da064b517d9

Observation 719b3a36-7538-4b16-8b26-79d5f3e9e793 · outbound

This paper cites LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models LLaVA-MLB: Mitigating and Leveraging Attention Bias for Training-Free Video LLMs

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.356278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.356278Z digest=sha256:9a41cf3b360a5c073a9c017298b22a6260268e408b98b69d5740b2dd3dea74a2

Observation 3f1acf08-3f3e-4d4d-bf9c-889c2570e0ce · outbound

This paper cites DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.432264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.432264Z digest=sha256:613c8b274fdf390df6f649da1dbcab4154c797e2c3c80b8915dfdf7422ca1b2a

Observation b65dbd14-f6a8-49b6-92c7-ec607346748e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.546942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.546942Z digest=sha256:30d00180534379a5633427423c917f6dc7114705eb5f99bd8d47c0d3da198949

Observation 0684c49d-fb94-46a0-b763-5b078f39c65b · outbound

This paper cites [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models [CLS] Token Tells Everything Needed for Training-free Efficient MLLMs

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.626063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.626063Z digest=sha256:0c4471dc47f1bb379cb9841892f26c5362391176620c8c40f0e495f9fe4ed2ed

Observation 4599b744-4add-46b6-865e-7532ca33d6c2 · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.721510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.721510Z digest=sha256:98e87d3ed16f48057c7b9ac33b31d1cb5f7fa96cd40bdeca4852134ee0c18df0

Observation 4f7f90ef-383e-4577-a8fd-68578ae97ab5 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.823977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.823977Z digest=sha256:b77e81b7c7a82a58a4e38a5dae4e25608e3b2149966c522bcce52942caa75f6d

Observation 6a2b4522-d97e-4cef-9d57-7819ff5ce560 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Efficient Streaming Language Models with Attention Sinks

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:09.942396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:09.942396Z digest=sha256:eb699c505e2d752e114bc28c56080f29ce4805d92bb0cc7fcdb4487cf3ebcb90

Observation 309b5d2b-9e37-4f24-ba44-7ec66d766431 · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.024398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.024398Z digest=sha256:dd9c602301e65ddf2504fd97c63c1d81b71f45988aa6b4cc00de0b26d8c77a73

Observation f8ea79b2-886a-4b30-b6aa-f3be6fafe4b8 · outbound

This paper cites PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.098876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.098876Z digest=sha256:115f6a4e35de78a7369c76fbe7e9484766a19f3c14d3e4bf3244faa4f4de3d78

Observation e9e59250-5ad6-411f-8c5c-3c558679a56d · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.209360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.209360Z digest=sha256:63f7645fd7622d7b23502682f3a52221ec279eb8904db3470a34457da50f96b9

Observation 997ad8eb-01d5-4ffc-9546-4130bccf413a · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:08:12.075391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T14:08:10.294540Z digest=sha256:e3eb2294a984abfb61ac938f7c31078352c18c29b724a3599ced071fbf0621b8

Observation 1ebabf5a-c74d-4111-a3a1-8db4a9fb5a18 · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.384993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.384993Z digest=sha256:6aa75b3b684e9f105ff508d8788179f62b5299c33bd99c1f566ceb38e11fbf3b

Observation 94ea1965-e3a7-4fd4-9eec-5b6d1d628f21 · outbound

This paper cites LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.490334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.490334Z digest=sha256:6e13513463ab5661efd1e0afe80308170911a1dccea899dedf70c2e9af2e9840

Observation a152e2cf-71b3-4838-ae5a-24f22fbedff1 · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.568820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.568820Z digest=sha256:52e84c05f81106ffbfee5717f12933cbf00e85456068973dfc0075ed8111e888

Observation f3a496cd-ad53-4c95-84c7-41cd139ded15 · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.697724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.697724Z digest=sha256:e72e9d64fa7174ebf993dd09abad4a659f9f189cf988b9e80ec4ceabbf7791db

Observation 68ab79c8-9c58-4478-a77d-c559245a1bea · outbound

This paper cites an unresolved cited work.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.807603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.807603Z digest=sha256:147c7c71a9edc40d5e5df5ed017a62fa2f57d4310f9dc6dc24069e009c7660c2

Observation 4ed619fe-2182-414b-afff-bd1a1ca8dd69 · outbound

This paper cites AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:10.915558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:10.915558Z digest=sha256:6172b722feb6c30c6e0384537f9533bcca603ae7689cc510c35cbc9caba4c6f2

Observation 952ba7ea-fada-4dde-9e84-ad50a5522652 · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models MLVU: Benchmarking Multi-task Long Video Understanding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:11.015163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:11.015163Z digest=sha256:f6bf87cb020088eee918818f8945164a573b8e1dff858297dbf62f3908cc0e19

Observation 6010160f-7766-4bbb-8aaf-153c129cd9cc · outbound

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

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:11.091612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:11.091612Z digest=sha256:f5d2fc2df7aed6388536e192645af7773a3f1ee86dbc9154a823bbf85181c6b6

Observation 8786fdcd-26d9-4adf-934a-6e0d31b5786c · outbound

This paper cites online" 'onlinestring :=.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models online" 'onlinestring :=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:11.196238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:11.196238Z digest=sha256:dea578737111e50b5ae4ac2bada81cd25fb10510a084f01d00330496ed800764

Observation af24ddb6-0af2-402c-9f88-22bada028561 · outbound

This paper cites write newline.

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models write newline

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:08:11.296096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:08:11.296096Z digest=sha256:2b0e6cd339c50ade374e97fcd9cde6f90230b1d4e023af85c67176fe927dba89

Pith citing papers

Observation 2073a944-5328-40b6-9520-14fe4d6f4c8b · inbound

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models cites this paper.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models AdaTP: Attention-Debiased Token Pruning for Video Large Language Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:57:57.269717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T14:57:56.582528Z digest=sha256:fababc8dcf44adeacb25e749828b01679c8b17a3190429d0faf2debf11c5ccb8