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Integrity report for Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework

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

arXiv:2606.05710 · pith:2026:5EL76IRPLMKW4WXML2XKDPYUPO

0Critical
0Advisory
4Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-05 19:51:17.389596+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-05 13:57:50.852261+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 02:35:49.814930+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 02:29:13.733663+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5EL76IRPLMKW4WXML2XKDPYUPO/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.