Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2307.16449.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:09:07.794518Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T01:36:44.033728Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 74c5ed68-2940-4fd2-9e99-9bb5617b6b00 · inbound
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning cites this paper.
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:21:58.021092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 708ac9fc-961d-46f0-b59a-461ad3e71b9f · inbound
MLVU: Benchmarking Multi-task Long Video Understanding cites this paper.
MLVU: Benchmarking Multi-task Long Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T19:55:26.439473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a97ff8ec-0d4b-486d-9398-4b33d2e93a95 · inbound
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:44:53.638107Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2418df75-a193-48f6-88f8-3fdb91d97860 · inbound
LVBench: An Extreme Long Video Understanding Benchmark cites this paper.
LVBench: An Extreme Long Video Understanding Benchmark MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:55:30.104117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 185a7090-b23a-4513-a028-018679817359 · inbound
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 135
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:46:28.677521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e7b9d41c-affe-4ba0-9377-5a65622b0cfc · inbound
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T06:02:37.587807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c87f1033-5839-4a62-b3a7-7730ec1d7bda · inbound
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos cites this paper.
Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T00:32:41.261120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 563dd0cc-1e6d-479d-beac-81df15334841 · inbound
SmolVLM: Redefining small and efficient multimodal models cites this paper.
SmolVLM: Redefining small and efficient multimodal models MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:23:51.770625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2042abbd-d90d-445f-9c54-2a82c3e8af38 · inbound
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models cites this paper.
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:09:07.794518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e5fa39a-d49d-44f5-9ae8-4c8effec6e48 · inbound
Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.
Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:00:56.967687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82ed5029-2983-493e-ab0a-c3a858ba68dc · inbound
Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification cites this paper.
Video-XL-2: Towards Very Long-Video Understanding Through Task-Aware KV Sparsification MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:13:07.554817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b25ca4dc-5cdc-466e-a600-f35ebdf1f7d5 · inbound
Task-Aware KV Compression For Cost-Effective Long Video Understanding cites this paper.
Task-Aware KV Compression For Cost-Effective Long Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:38.567659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72519638-fa77-49ec-9ce6-613012807379 · inbound
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs cites this paper.
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMs MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:24:32.112310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d8e688-0c33-48cb-ab53-274cf486fbfb · inbound
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.
AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:29:54.291657Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 102ccd94-8ead-4ada-9021-3f44632e9396 · inbound
Infinite Video Understanding cites this paper.
Infinite Video Understanding MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:10:13.357356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19bf8d62-97ee-45f3-899e-35f5b9155968 · inbound
A Benchmark for Omni-Modal Reasoning in Long Videos cites this paper.
A Benchmark for Omni-Modal Reasoning in Long Videos MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T15:26:15.102987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86eb29da-14cc-4620-8d25-37ab3170b275 · inbound
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning cites this paper.
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T22:18:56.115559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cf2f7bb-d52c-4ac8-b6b2-80c9624b37db · inbound
Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark cites this paper.
Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:04.369292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3b51cd7a-8a77-4cb9-82bd-64ac814881d3 · inbound
Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting cites this paper.
Diagnosing Long-Video Quantitative Reasoning in Multimodal LLMs via Enumeration and Counting MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T15:29:31.834566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7aeb8240-0e45-4502-b046-84e21d5d72cc · inbound
PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning cites this paper.
PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T15:13:24.841282Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6de1d70f-fa3b-4953-a909-62890ec284c5 · inbound
VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning cites this paper.
VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:46:56.837302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bd657a2e-9658-421b-9a36-6bdfd12428c0 · inbound
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.
HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 151
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T06:39:37.661744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8be66e76-6987-4810-81f7-d6d89584efc9 · inbound
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction cites this paper.
Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T07:54:22.343008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1b204ed7-b544-4d00-b49a-40961db8e10f · inbound
DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences cites this paper.
DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T11:31:14.532101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21063b64-1987-4fb9-add8-35b26a601fe8 · inbound
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Reference 108
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:36:44.035222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.