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Integrity report for Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization

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

arXiv:2605.13641 · pith:2026:24ZH7CZOHOCKQI5UBKEGORMGTF

0Critical
0Advisory
4Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 09:39:57.625965+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 12:31:42.129795+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 09:44:22.633670+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 22:42:15.868307+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/24ZH7CZO/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.