Integrity report for Real-IAD MVN: A Multi-View Normal Vector Dataset and Benchmark for High-Fidelity Industrial Anomaly Detection

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

arXiv:2605.07149

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 11:22:03.373392+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 06:35:54.045812+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 17:01:19.946363+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 12:02:48.907484+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.07149/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.