Integrity report for Trust, Geometry, and Rules: A Credibility-Aware Reinforcement Learning Framework for Safe USV Navigation under Uncertainty

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

arXiv:2605.26974 · pith:2026:OBIXJC36HHQBPKX7JKMXSMJZT2

0Critical

0Advisory

5Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 00:47:32.900191+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 04:04:44.015968+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-27 09:50:19.862499+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 07:53:38.915034+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-27 01:34:11.883302+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OBIXJC36/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.