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Integrity report for Stabilising Explainability Fragility in Cybersecurity AI: The Impact and Mitigation of Multicollinearity in Public Benchmark Datasets

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

arXiv:2605.22529 · pith:2026:BQVLKOMLXWJP4JB25DEBEDFELI

1Critical
0Advisory
7Detectors run
2026-06-01Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 1 · 2026-06-01 08:19:29.901808+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-01 08:04:51.242910+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 04:40:17.257466+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 11:04:26.201624+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 11:51:04.374029+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 21:52:08.539579+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 05:54:38.010276+00:00

Findings

No public integrity findings for this paper.

Signed record

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