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Integrity report for Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals

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

arXiv:2605.22773 · pith:2026:F6FAJ647E33KCVZ5GGRNOSP5PU

0Critical
0Advisory
8Detectors run
2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-04 07:06:30.480731+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-04 05:35:54.881561+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-30 10:25:08.471910+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 03:35:45.816382+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 19:04:56.316435+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-24 17:33:59.645814+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 07:51:13.260727+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 09:49:50.418226+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/F6FAJ647/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.