Integrity report for CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure

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

arXiv:2605.20701 · pith:2026:RX7RHQ2VEISVTU7GLZ2GAH55NJ

1Critical

0Advisory

6Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:42:41.886038+00:00

doi_compliance completed v1.0.0 · findings 1 · 2026-05-22 04:36:27.838346+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 04:31:49.339485+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 19:50:45.625727+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 14:23:13.950464+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 02:33:35.305068+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/RX7RHQ2V/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.