Integrity report for Enhancing Multimodal Large Language Models for Safety-Critical Driving Video Analysis

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

arXiv:2605.22185 · pith:2026:4I23UPQHCUYVRCR7WKVVMF6WBF

0Critical

0Advisory

7Detectors run

2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-27 07:04:46.413370+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-27 07:03:12.834730+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 07:24:03.697338+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 19:51:42.896194+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 01:50:45.187114+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 11:52:41.829964+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:42.909114+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/4I23UPQHCUYVRCR7WKVVMF6WBF/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.