Integrity report for LQ-rPPG: A Label-Quantized Coarse-to-Fine Learning Framework for Remote Physiological Measurement

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

arXiv:2605.23174 · pith:2026:I7JWEX4RBDJP25P7FMRAGDQEXG

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-05 05:56:11.630068+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 05:36:08.773861+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 04:42:46.968486+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 15:24:52.845412+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 21:50:21.429439+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 14:23:17.981749+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/I7JWEX4RBDJP25P7FMRAGDQEXG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.