Integrity report for From Well-Posed Inversion to Learning Design: Physics- Informed Neural Estimation for Autonomic Regulation

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

arXiv:2606.03679 · pith:2026:AX2DM4M3UYZQO5XEDGJVD4LHXR

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 01:09:12.589483+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 06:26:40.184497+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 01:51:00.301363+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 01:35:24.254825+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AX2DM4M3UYZQO5XEDGJVD4LHXR/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.