Paper Citation Record · LEDGER

Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.09530.

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

pith.paper-citation-record.v1
2412.09530 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:55:50.128159Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:11:23.194836Z

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 559084cc-f064-4cc9-8f56-f56b9d8f608a · inbound

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding cites this paper.

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:05.371800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 172834a1-4ff0-44bd-980d-4158be0247b0 · inbound

Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval cites this paper.

Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:11:23.198043Z

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 b4359393-9c7c-47fa-85a1-44bdbd4b6697 · 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 Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T23:46:51.659904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5449c859-83cf-4de4-87c8-6b5172039234 · inbound

Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models cites this paper.

Adaptive Two-Stage Visual Token Pruning for Efficient Inference in Video-Language Models Dynamic-VLM: Simple Dynamic Visual Token Compression for VideoLLM

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T00:55:50.128159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.