Integrity report for SuperADD: Training-free Class-agnostic Anomaly Segmentation -- CVPR 2026 VAND 4.0 Workshop Challenge Industrial Track

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

arXiv:2605.14808 · pith:2026:GPEUZ6KVKTEDLBWW56OZMTXP5C

0Critical

0Advisory

2Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 15:22:05.658298+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 05:39:25.279333+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/GPEUZ6KV/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.