Integrity report for Deep Learning-Based Automated Quantification of TIMI Myocardial Perfusion Frame Count (DL-TMPFC) from Coronary Angiography: A Novel Framework for Rapid Assessment of Microvascular Dysfunction

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

arXiv:2605.24012 · pith:2026:IM7LVYCXZD4LGHK4MI5KVP2FXE

0Critical

0Advisory

2Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 11:42:27.668194+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 14:24:09.540411+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/IM7LVYCX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.