Integrity report for Reinforcement Learning-based Control via Y-wise Affine Neural Networks: Comparative Case Studies for Chemical Processes

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

arXiv:2605.21211 · pith:2026:BVPY4OLERME76ALWYCHF3VOOM5

0Critical

0Advisory

7Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 10:24:06.681874+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 07:02:54.844802+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 04:36:21.106447+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 01:52:11.922525+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-21 01:50:03.106975+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-21 01:50:02.475005+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:33:38.406262+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BVPY4OLERME76ALWYCHF3VOOM5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.