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Integrity report for Bridging Atomistic Simulation and Experimental Processing Timescales with Goal-Directed Deep 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:2605.16214 · pith:2026:5TNSH4GDGUKDNRIDNPW3E77RTO

1Critical
0Advisory
8Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 16:42:07.310745+00:00
doi_compliance completed v1.0.0 · findings 1 · 2026-05-20 16:32:23.548795+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 16:31:25.506027+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-19 17:49:44.670994+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 17:49:44.160885+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 17:33:24.792838+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-19 17:31:33.601662+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 17:22:06.430840+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5TNSH4GD/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.