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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
6Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

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
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 07:01:22.350528+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 07:00:17.871480+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:36.611074+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 02:02:00.082257+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.