Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:32:50.801112Z
Paper Citation Record · LEDGER
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 4 inbound Pith citation observations for arXiv:2507.07990.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:46:51.654336Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T06:58:05.988167Z
Reference resolution
63 of 63 outbound references displayed
- verified exact0
- verified fuzzy37
- unresolved25
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 246b891c-bda5-48f4-b44b-df2299f204f7 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:44.920094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d0f0eb4-1003-46b9-83f2-6d8fd01db424 · outbound
This paper cites Token merging: Your vit but faster.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Token merging: Your vit but faster
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.444166Z
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 1d098822-e46e-43ba-98be-c0a9f7a2e67f · outbound
This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:45.136591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0670cd7b-274a-459c-8110-fa130e3564d1 · outbound
This paper cites Quo vadis, action recognition? a new model and the kinetics dataset.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Quo vadis, action recognition? a new model and the kinetics dataset
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.411633Z
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 19b8f3b1-b4e2-4330-b2cc-7d25e356367c · outbound
This paper cites Honeybee: Locality-enhanced projector for multimodal llm.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Honeybee: Locality-enhanced projector for multimodal llm
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.392591Z
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 37f2bc3d-cab8-4313-b194-437375aacf32 · outbound
This paper cites An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs An image is worth 1/2 tokens after layer 2: Plug-and-play inference acceleration for large vision-language models
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.374669Z
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 b7c8df05-599c-413e-b4df-e5ea529487ce · outbound
This paper cites Longvila: Scaling long-context visual language models for long videos.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Longvila: Scaling long-context visual language models for long videos
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.352568Z
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 e62eee1b-61e5-463a-9b3c-2e7f17199433 · outbound
This paper cites vid-tldr: Training free token merging for light-weight video transformer.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs vid-tldr: Training free token merging for light-weight video transformer
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.331836Z
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 5e573a74-dfd0-4e4c-b898-554117a8c69a · outbound
This paper cites FlashAttention-2: Faster attention with better par- allelism and work partitioning.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs FlashAttention-2: Faster attention with better par- allelism and work partitioning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.306539Z
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 be0085a3-55d6-4f57-a88d-a988eef926be · outbound
This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher R´e.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Fu, Stefano Ermon, Atri Rudra, and Christopher R´e
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.284441Z
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 ec769102-d618-4f13-a71a-79fbae6b2218 · outbound
This paper cites The Llama 3 Herd of Models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs The Llama 3 Herd of Models
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:45.999654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f038acb-cd79-4778-b467-fe202eed1361 · outbound
This paper cites Masked autoencoders as spatiotemporal learners.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Masked autoencoders as spatiotemporal learners
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.265252Z
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 77307511-04a3-486b-80c8-5018115eb2da · outbound
This paper cites Quad trees a data structure for retrieval on composite keys.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Quad trees a data structure for retrieval on composite keys
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.245530Z
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 86f94159-5ea6-41b5-a195-dcd31f95a052 · outbound
This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.222087Z
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 e842939a-c212-4e01-b7fd-dfc93bcc6dee · outbound
This paper cites FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:46.455680Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f045812b-d2eb-4998-a0d9-76435809e32a · outbound
This paper cites Caching — google ai, 2024.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Caching — google ai, 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.204484Z
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 dcec1c7b-82b6-43cc-bda6-1910dc2673e5 · outbound
This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:46.642984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5902d98-fde2-470b-9f0e-c750d81456e5 · outbound
This paper cites Deep residual learning for image recognition.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Deep residual learning for image recognition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:46.759667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d4efc77-4d15-4bd9-85ff-deabb6392d3a · outbound
This paper cites Masked autoencoders are scalable vision learners.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Masked autoencoders are scalable vision learners
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.171666Z
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 d544c777-c601-45fb-a23e-d49639e58b38 · outbound
This paper cites PruneVid: Visual Token Pruning for Efficient Video Large Language Models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs PruneVid: Visual Token Pruning for Efficient Video Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:46.995554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39e5f196-45bd-42c2-a28a-cb5acb60cc83 · outbound
This paper cites Chat-univi: Unified visual representation em- powers large language models with image and video under- standing.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Chat-univi: Unified visual representation em- powers large language models with image and video under- standing
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.148978Z
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 8d0fd6b9-ffdf-4105-9e21-fbf443daf535 · outbound
This paper cites Needle in a haystack – pressure testing llms.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Needle in a haystack – pressure testing llms
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.130345Z
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 e7b38e68-d904-4f5a-b31d-54e76909e05b · outbound
This paper cites Handwritten digit recognition with a back- propagation network.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Handwritten digit recognition with a back- propagation network
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.113062Z
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 85685f60-2fb4-4cc9-86df-c99a101a9a0c · outbound
This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:47.367536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b0f4a29-485c-4221-ac3b-4e0064bc0f6f · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.081714Z
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 3c22a84a-1f9d-4894-bd7a-ddec8a09b6be · outbound
This paper cites VideoChat: Chat-Centric Video Understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs VideoChat: Chat-Centric Video Understanding
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:47.575406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2e21bf8-0ea7-422d-92da-9f74675e0312 · outbound
This paper cites Mvbench: A comprehensive multi- modal video understanding benchmark.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Mvbench: A comprehensive multi- modal video understanding benchmark
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.063042Z
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 77420b45-60dd-4a2a-ae06-5c850c902b2e · outbound
This paper cites Video-llava: Learning united visual repre- sentation by alignment before projection.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Video-llava: Learning united visual repre- sentation by alignment before projection
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.042764Z
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 bf4da92a-b536-4555-9aed-2d58320ef6c8 · outbound
This paper cites Visual instruction tuning.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Visual instruction tuning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:53.017634Z
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 1e5324cc-5866-4d60-a22a-132504cbcc9d · outbound
This paper cites World Model on Million-Length Video And Language With Blockwise RingAttention.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs World Model on Million-Length Video And Language With Blockwise RingAttention
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:47.962155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation caeac0d6-d89a-49eb-b1f9-09ba2d3d5223 · outbound
This paper cites Ring atten- tion with blockwise transformers for near-infinite context.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Ring atten- tion with blockwise transformers for near-infinite context
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.989405Z
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 ed03f2a1-23f5-4a19-b587-574980db0d02 · outbound
This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Video-chatgpt: Towards detailed video understanding via large vision and language models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:48.187988Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16437856-d4e5-4593-8847-7fa463692fc7 · outbound
This paper cites Egoschema: A diagnostic benchmark for very long- form video language understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Egoschema: A diagnostic benchmark for very long- form video language understanding
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.947353Z
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 4b8f8318-4e79-4561-9f1e-926a1142560c · outbound
This paper cites Efficiently scaling transformer inference.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Efficiently scaling transformer inference
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.915585Z
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 687cec00-dd84-4cf7-ad26-d5f4fadf6b97 · outbound
This paper cites Timechat: A time-sensitive multimodal large language model for long video understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Timechat: A time-sensitive multimodal large language model for long video understanding
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.887336Z
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 83a72fcd-4822-4217-91f4-a59a1769c279 · outbound
This paper cites xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:48.415433Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88fcb5da-9be6-487d-b531-a752d5631b86 · outbound
This paper cites The quadtree and related hierarchical data structures.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs The quadtree and related hierarchical data structures
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.860677Z
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 bbe2353b-5f2b-47e9-b11b-23ed357065d0 · outbound
This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Llava-prumerge: Adaptive token reduction for efficient large multimodal models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:48.573421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ee7ef49-1ddd-424c-848b-70815a92fcd9 · outbound
This paper cites Moviechat: From dense token to sparse memory for long video understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Moviechat: From dense token to sparse memory for long video understanding
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.830881Z
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 afe23cbc-779d-4373-be94-3f1a48a468b9 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Roformer: Enhanced transformer with rotary position embedding
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:48.725013Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1026ae0b-c4e0-46ae-a06a-306d747fec8e · outbound
This paper cites Efficient quadtree cod- ing of images and video.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Efficient quadtree cod- ing of images and video
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.786169Z
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 827c1b70-8999-44b3-845f-e9a464a8003c · outbound
This paper cites Overview of the high efficiency video coding (hevc) standard.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Overview of the high efficiency video coding (hevc) standard
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.766030Z
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 1e0ee72e-7428-48f7-b981-87a41aa44524 · outbound
This paper cites Dycoke: Dynamic compression of tokens for fast video large language models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Dycoke: Dynamic compression of tokens for fast video large language models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.739311Z
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 1928e642-4168-443d-9c79-469fbc97316f · outbound
This paper cites Efficiency of a good but not linear set union algorithm.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Efficiency of a good but not linear set union algorithm
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.619484Z
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 b26d5fc4-c105-4f25-9614-c9a0da4e329b · outbound
This paper cites GPT-4o System Card.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs GPT-4o System Card
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.021249Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7ba62c1-f17b-40e1-b81c-0cf3e1fadad7 · outbound
This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.511623Z
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 f213867e-cd85-461f-836d-1cc6c5668753 · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs LLaMA: Open and Efficient Foundation Language Models
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.147349Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56b383c2-f3a5-4120-99e2-96f1213e87d4 · outbound
This paper cites Learning spatiotemporal features with 3d convolutional networks.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Learning spatiotemporal features with 3d convolutional networks
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.371957Z
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 50d62950-433e-436a-9662-4ce9c855f577 · outbound
This paper cites LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.280218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5a0000c-cdb7-4c5a-8f89-03803715ded6 · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.345961Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0778abac-b905-4d0b-ab9a-8dd7e3b71467 · outbound
This paper cites VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs VideoLLaMB: Long Streaming Video Understanding with Recurrent Memory Bridges
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.423515Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8884aa8f-17de-46c5-99ab-cd1704ee6913 · outbound
This paper cites Sullivan, Gisle Bjontegaard, and Ajay Luthra.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Sullivan, Gisle Bjontegaard, and Ajay Luthra
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.254156Z
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 abe2f266-b145-441e-9c51-376e10e9557d · outbound
This paper cites Longvideobench: A benchmark for long-context interleaved video-language understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Longvideobench: A benchmark for long-context interleaved video-language understanding
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:52.120020Z
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 94cc60c0-1937-4263-a654-9ed27861d065 · outbound
This paper cites Next-qa: Next phase of question-answering to explaining temporal actions.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Next-qa: Next phase of question-answering to explaining temporal actions
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.636803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7560d55b-5148-499d-92b8-ca763da865a8 · outbound
This paper cites Pyramiddrop: Accelerating your large vision-language models via pyramid visual redundancy re- duction.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Pyramiddrop: Accelerating your large vision-language models via pyramid visual redundancy re- duction
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:51.945416Z
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 45a6af3d-703e-4459-8708-f0a4d375049e · outbound
This paper cites Qwen2 Technical Report.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Qwen2 Technical Report
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.783006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c385049-5d20-4389-bb81-fc98a8695fd0 · outbound
This paper cites PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:49.863938Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e182b257-b922-4262-ad32-3d431f68bda0 · outbound
This paper cites Video-llama: An instruction-tuned audio-visual language model for video un- derstanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Video-llama: An instruction-tuned audio-visual language model for video un- derstanding
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:51.847754Z
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 602199ed-14c7-4fbf-9815-939352dc8fa4 · outbound
This paper cites Long Context Transfer from Language to Vision.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Long Context Transfer from Language to Vision
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:50.185274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd7c2631-a2ca-43c3-be08-e90da971380a · outbound
This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs LLaVA-Video: Video Instruction Tuning With Synthetic Data
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:50.312891Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3fd2480-95fc-42f5-8e71-53514a96b734 · outbound
This paper cites Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMs
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:32:50.442322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7e64a4e-366b-4623-9790-6ec1045e116f · outbound
This paper cites Mlvu: Benchmarking multi-task long video understanding.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs Mlvu: Benchmarking multi-task long video understanding
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T18:32:51.646767Z
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 d05ef8e8-af0a-4b5f-8c80-030feee8b836 · outbound
This paper cites 11 to 14 show the absolute values for the main comparison results.
Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs 11 to 14 show the absolute values for the main comparison results
Reference 2025
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T18:32:51.576968Z
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.
Pith citing papers
Observation e99a8d45-4dcb-453b-80d4-725afbba76f0 · inbound
Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs cites this paper.
Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:36:44.191878Z
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 8cb5c6ec-fea4-4edd-8ed6-17874b0c7018 · inbound
VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models cites this paper.
VLMaxxing through FrameMogging Training-Free Anti-Recomputation for Video Vision-Language Models Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:11:13.772797Z
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 27a489f0-2b34-46c3-b16b-76908f60e426 · inbound
DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs cites this paper.
DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:58:05.989905Z
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 d890eb34-3b8c-4d7c-8973-4ab572bb59d4 · inbound
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models cites this paper.
CRAFT: Compression via Recursive Adaptive Fusion of Video Tokens for Vision-Language Models Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:46:51.654336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.