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Integrity report for Quantum Machine Learning for Cyber-Physical Anomaly Detection in Unmanned Aerial Vehicles: A Leakage-Free Evaluation with Proxy-Audited Feature Sets

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

arXiv:2605.19233 · pith:2026:SX5VGFQXQ3PBOO3WWK3HQY2NRY

1Critical
1Advisory
6Detectors run
2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 05:37:06.926835+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 16:33:01.107306+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 10:43:47.596159+00:00
doi_compliance completed v1.0.0 · findings 2 · 2026-05-25 08:24:10.799521+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 23:51:23.961640+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 16:52:54.789398+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/SX5VGFQX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.