Integrity report for FineBench: Benchmarking and Enhancing Vision-Language Models for Fine-grained Human Activity Understanding

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

arXiv:2605.19846 · pith:2026:QQ76WJIFBE27S5MUZNAPEVZ5ZB

0Critical

0Advisory

6Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 06:31:21.978709+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 06:08:42.123218+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 01:52:09.632680+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-20 01:50:01.737236+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 01:33:25.745670+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 01:21:59.552430+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/QQ76WJIF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.