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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
2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 2 · 2026-05-21 05:34:34.269434+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 05:31:37.806376+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 04:42:20.723303+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
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:37.134219+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.