Paper Citation Record · LEDGER

Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.05222.

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

pith.paper-citation-record.v1
2411.05222 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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.579952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T01:20:00.277343Z

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 3267f001-82c5-4edf-9e17-b0e14b55546c · inbound

AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration cites this paper.

AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T14:44:17.454016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16bf5f7a-4306-4761-b052-d1c6825aab3b · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:20:00.281929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b57b24b-30f8-4acc-8cdf-0d811596e41d · inbound

Multimodal Medical Code Tokenizer cites this paper.

Multimodal Medical Code Tokenizer Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T00:42:56.954214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c0bb014-6a46-406a-a79a-3156e534898d · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.579952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.