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Integrity report for Investigating Adversarial Robustness of Multi-modal Large Language Models

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

arXiv:2606.03713 · pith:2026:UVML22ZSW5TWTDVG3LZYJFMWJL

0Critical
0Advisory
5Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 01:09:12.557688+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 01:56:29.726645+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 01:51:00.280267+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-03 01:50:21.321880+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 01:35:24.230878+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UVML22ZS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.