Integrity report for Progressive Generalization Augmentation with Deeply Coupled RND-PPO and Domain-Prioritized Noise Injection for Robust Crop Management 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:2605.17428 · pith:2026:FJ4UBNED74ADW2B5KLNRAS7Z7K

0Critical

0Advisory

5Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 16:02:46.484030+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 14:51:06.336821+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 13:23:26.726041+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 12:22:43.259287+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 21:33:23.679304+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FJ4UBNED/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.