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Integrity report for A perspective on fluid mechanical environments for challenges in reinforcement learning

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

arXiv:2605.25011 · pith:2026:OE5CJL7XQDSNULKU2E56DUORL2

0Critical
0Advisory
5Detectors run
2026-05-29Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-29 17:45:33.088001+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 01:50:13.751047+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-26 01:49:55.961875+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 01:34:03.903490+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 01:23:23.670017+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OE5CJL7X/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.