Integrity report for ArrythML: An Autoencoder-Based TinyML Approach for On-Device Arrhythmia Detection on Resource-Constrained Embedded Systems

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

arXiv:2606.02256 · pith:2026:TE7NCVS7RDMPMQXVVNKVEOYJQ5

0Critical

0Advisory

4Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 08:49:21.463862+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 11:50:52.807879+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 08:26:14.483872+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 03:35:16.080452+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/TE7NCVS7/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.