Integrity report for Reinforcement Learning for Laser Additive Manufacturing Scan-Order Optimisation: A Bilevel Proxy--FEA Diagnostic Framework for Reward and World-Model Diagnosis

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

arXiv:2605.25063 · pith:2026:K72TWWORGECNOX652Q5GU2ZF5W

0Critical

0Advisory

3Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 08:35:16.582608+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-29 16:45:31.743656+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 19:23:32.908619+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/K72TWWOR/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.