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Paper Citation Record · LEDGER

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.17343.

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

pith.paper-citation-record.v1
2504.17343 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:03:14.040372Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:39:06.193766Z

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 46f8794c-4d6e-4420-8c39-7195e583ed0c · inbound

ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models cites this paper.

ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T18:03:14.040372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:03:14.040372Z digest=sha256:3243b5f86610ad724bf9d0f93ccde6b3bbe380135b009db08455dc5eb163864d

Observation d938463f-64c3-4ad2-8bb0-0f1ac0dd97a6 · inbound

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent cites this paper.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:44.871097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:44.871097Z digest=sha256:d61e2a7a54c0332e80c46dafa5f29240773ee2c8cb6eae53017a7c7320c7f0b3

Observation 61ad33aa-d5bb-43aa-bcbf-ce181d58f477 · inbound

Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? cites this paper.

Can Multi-Modal LLMs Provide Live Step-by-Step Task Guidance? TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:39:06.196486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T05:36:09.208754Z digest=sha256:dfd919d80126e7935874e35e8e36b07d5951d5f4a92df2baeb58726928b7c155

Observation 11abff98-bfa7-4491-9d0d-7670db5d6b1e · inbound

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding cites this paper.

HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:57:53.845048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T12:55:04.564442Z digest=sha256:9a14676ddf2aab514ed167735b4ce69c2211de2f14666fae9532682fe072d724

Observation c6459779-3754-4260-8941-caf8d2ac18f6 · inbound

Don't Pause! Every prediction matters in a streaming video cites this paper.

Don't Pause! Every prediction matters in a streaming video TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:41:18.125769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T04:32:01.379605Z digest=sha256:1e1dd887e12671614d6340b22152b0635de53ca5afe243bca7e79b8ba35d12e9

Observation 9a56d4c2-d23a-4179-84b3-a42f9c4c4bc3 · inbound

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model cites this paper.

Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 164

Resolution
unresolved
no resolver link, observed 2026-07-31T06:20:14.311583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T06:20:14.311583Z digest=sha256:2451f457fdbb307aa1a4ef69bc089a0f5d241493e87fc186e0da7757c30e6d71

Observation 9f90c176-5427-4d24-8ab0-82d7e6cc4a71 · inbound

ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding cites this paper.

ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T03:21:48.087769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T03:21:48.087769Z digest=sha256:4437f83d8eb2b7e532a9e072be849cf4cabf5da0890d4c91b1de09766a48a3fa

Observation 5571a5f0-8880-4e9d-8541-74175d42959c · 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 TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T23:46:51.620346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:46:51.620346Z digest=sha256:7551495bd9a8c858e494af332d75eba00e53256640d47cf99393d0a195a2ceeb