pith. sign in

Integrity report for Enhancing Visual Token Representations for Video Large Language Models via Training-Free Spatial-Temporal Pooling and Gridding

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.22078 · pith:2026:ZQBRYX7EUPOVAEOD3DREWOWRKX

0Critical
0Advisory
6Detectors run
2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-23 21:50:29.006051+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 06:32:07.101707+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 06:23:02.058617+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 02:03:00.165075+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 13:23:27.702409+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 02:33:38.096499+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ZQBRYX7E/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.