GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models | Paper Citation Record

Observation e1085018-dfde-44b0-85f7-78b5c614ad57 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.108091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff5ee652-4d49-40f9-9b74-17d6e282f1d8 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.131532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c807c83-78d9-46cc-8132-fc2d4d69d817 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.152004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2752700b-4ebb-45cb-9490-5e443217e22a · outbound

This paper cites MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.162092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47de14fd-faf0-4cb9-8de4-a139f1b4bfb3 · outbound

This paper cites Qwen3-VL Technical Report.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Qwen3-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.170077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33ee5007-8e23-48a8-99d7-2d9d0a657a08 · outbound

This paper cites Qwen2.5-VL Technical Report.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Qwen2.5-VL Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.181207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976a2390-5358-40c2-8220-69286d6b0dbc · outbound

This paper cites Token Merging: Your ViT But Faster.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Token Merging: Your ViT But Faster

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.189069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c1062b-1245-4720-88ab-07791839a334 · outbound

This paper cites VideoLLM: Modeling Video Sequence with Large Language Models.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models VideoLLM: Modeling Video Sequence with Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.198538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9c2de3-7353-4897-8dc9-929353f72484 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.205337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc0232e-b8b9-46d0-87e4-a5a1681fad42 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.212904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b8d239a-2792-41d6-939e-32466093dcbf · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.227468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036ab384-5f20-4baa-bcdc-384ca0e7152d · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.235912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a25a4001-a7cf-4b3b-8750-1cb6cfb6d7db · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.242973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8402874c-e6eb-499e-98d4-d89bb27acbb8 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:59.393789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 213f6d5c-f975-441d-bd33-15a5cde08464 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.266257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b02549a-428a-4f5d-afbc-31f50c60bb1f · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:59.345547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 165bbe61-23e5-4761-91bc-dfea5340b00e · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.283633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0003ab70-5e6e-44b2-a1a1-5853ce217d7b · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:59.274925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1153f228-79c5-4b5a-aff2-6b76bb7f6cf1 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:59.224719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 86489d16-dca3-438b-89c5-24aa30bcae3a · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:59.174796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 70854148-96bf-40bf-93b3-4d22dce6448a · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.324734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f182365d-6de8-44a6-adb0-f3e5b6b9c24c · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.332299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a631fc30-95a3-4236-afde-8d3068e58e9d · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.343809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e910f7-1986-4a4c-85af-70f08a47fa12 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.354162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c9da7ad-f05a-4c11-8056-47f981526d11 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.362695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0215bf0b-ad13-4201-bc61-b19e7b86591d · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.375209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775cee6d-21f0-400f-b0e0-ce21db608cea · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.388709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef048d8-0f0a-4a72-973e-fa2a13665635 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.403321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c251361c-8b88-451e-85a8-1924fa62f407 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.418822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c2ff6b0-2fca-4ce6-9d22-c5e484402030 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.430736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b391219-50fa-46eb-9ead-85bf81236d22 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.930653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4060da20-332d-4247-9ca4-fd48cd18631e · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.895761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ab596e9-d35f-4d94-a3f3-cf32b1e0939d · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.477466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5453f54a-217e-4f0b-bae0-b276527533bf · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.490173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 089bbc5a-ef76-484f-9d0b-149371639113 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.499506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cfc4506-8302-406f-999f-a53d56ef2b64 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.513049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f92f55b0-5846-4249-99ec-12f84baaf23b · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.535717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddfc45c4-336a-41da-8c5c-8bd60da3a61f · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.543695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c44ac986-dd29-4347-af25-a97e532d0fcb · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 39

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.697057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7088f210-d73a-4f6d-ac74-d4d8b01b5243 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.660001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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

This paper cites AdaTP: Attention-Debiased Token Pruning for Video Large Language Models.

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 2026-08-17T06:30:58.91139+00:00.

Observation 772fb8d1-53d1-4470-91ea-b2d273c5ff39 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.589948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f3c715-5a64-47f1-bb66-7ac013f47b7a · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.583179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3258b68-4238-4411-aa41-dd5f7abea387 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.550414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64a4e827-a9c3-4bcd-a4c8-082bf7b7ab40 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.619114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 694e1842-7425-4edf-8f27-01d056af4ff8 · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.627432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2e6ee1-1712-47ba-b12f-9545d5dba291 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.633694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010c3b1e-cb27-49ca-8f15-57d01737d440 · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.640802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e58152-9c2d-43ad-8e45-8501ee920757 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.477114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 550c3538-91ba-4b70-8cf3-2ab5bec83702 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.430213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75f927b1-301b-44c4-ad50-57b5fb545933 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.388636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8f6d80a-39b2-43df-bc8d-8d8d45ec9044 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.684005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11101bf1-83a1-4c81-928b-1444ec23b155 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.699482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 001fd366-5c11-4c09-9234-3350672fa44c · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:57:58.301627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 14e7701e-2074-4b82-836f-dad26b1bd571 · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.723618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3acfe0d8-6ee5-4625-b64e-e8a1c28917ea · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.729974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1759393-e52c-498c-be32-fd0e4b07dec9 · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.743820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe7b203f-cde9-4956-baeb-2cd35b553471 · outbound

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

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.752601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6d206d4-edab-46fa-ada6-a614a83cef4d · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.737747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8d6223-e916-4026-a7cf-c291ee1541fb · outbound

This paper cites Advances in neural information processing systems34 (2021), 13937–13949.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Advances in neural information processing systems34 (2021), 13937–13949

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.523306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85cc6769-bc5a-4d74-9385-a720e870132c · outbound

This paper cites an unresolved cited work.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.120294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2aee47a-d6c7-43da-bbc9-29666f38fb20 · outbound

This paper cites Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.439046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bab3dea0-b8cc-4aa0-b581-ee049fd4b787 · outbound

This paper cites InProceedings of the Computer Vision and Pattern Recognition Conference.

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models InProceedings of the Computer Vision and Pattern Recognition Conference

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T14:57:56.142848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers