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Integrity report for ExECG: An Explainable AI Framework for ECG models

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

arXiv:2605.19258 · pith:2026:IM6FJJSBYEROKDFGA53N3VJP6G

0Critical
0Advisory
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 05:36:18.440117+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 16:03:01.582005+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 10:43:47.556450+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 08:34:59.768903+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 23:50:24.274012+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 16:22:51.248753+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/IM6FJJSBYEROKDFGA53N3VJP6G/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.