Integrity report for Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction

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

arXiv:2606.02278 · pith:2026:YEF47RZ3QAOTBZ7EWZXX4BXNSM

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 08:29:21.470097+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 09:50:52.764029+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 08:26:12.201011+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 03:35:16.066012+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/YEF47RZ3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.