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Integrity report for RE-VLM: Event-Augmented Vision-Language Model for Scene Understanding

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

arXiv:2605.19329 · pith:2026:TBWQ7MEGHC3O7Q4MYDIYBPMZJX

0Critical
0Advisory
9Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 18:56:37.193727+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 18:43:53.503673+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 18:32:47.328382+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 07:04:09.318092+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 07:01:38.887166+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 04:42:20.644257+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 21:50:24.730630+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 15:24:26.108056+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:36.611074+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/TBWQ7MEG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.