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

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 17:51:50.661664+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 07:02:06.984878+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 06:43:38.540035+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 02:03:00.068169+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/4I23UPQH/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.