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Integrity report for Conformal Anomaly Detection in Python: Moving Beyond Heuristic Thresholds with 'nonconform'

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

arXiv:2605.13642 · pith:2026:LLGV7HUY36EI2H47AFQZXNWBDR

0Critical
0Advisory
4Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 09:39:56.995353+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 12:31:42.126491+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 09:44:17.981211+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 21:02:14.214965+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/LLGV7HUY36EI2H47AFQZXNWBDR/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.