Integrity report for Benchmarking Large Vision-Language Models on CFMME: A Comprehensive Chinese Financial Multimodal Evaluation Dataset

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

arXiv:2605.29462 · pith:2026:PXCU7MIBJ6Y6E4SED4VC7WTS27

0Critical

0Advisory

4Detectors run

2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-30 01:45:46.696981+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-29 23:50:37.259656+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 15:54:48.257090+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-29 01:34:28.950793+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/PXCU7MIB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.