Integrity report for Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos

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

arXiv:2605.18984 · pith:2026:ONHQEPM26IQ5R6YLSYB2BIUPZA

0Critical

0Advisory

5Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 10:57:29.834738+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 10:32:09.516721+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 00:22:59.572138+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 00:33:29.762437+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 00:21:59.884068+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ONHQEPM2/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.