Integrity report for Regulatory Considerations for Using Artificial Intelligence Models to Reduce Sample Sizes in Registrational Studies

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

arXiv:2605.23246 · pith:2026:FX3MKW7SZEBC44VQI623GVBORB

0Critical

0Advisory

6Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-04 05:05:41.606758+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-04 03:35:54.515099+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 04:41:48.891033+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 15:04:52.429216+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 19:50:54.817797+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 12:53:36.562054+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FX3MKW7S/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.