Integrity report for Offline Reinforcement Learning with Universal Horizon Models

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

arXiv:2605.15603 · pith:2026:AIT2U22CLM5TGF7SLLFFPIY6SE

0Critical

0Advisory

5Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 13:32:33.943669+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 11:23:58.273991+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 21:02:35.240741+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 20:20:18.132571+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 19:34:34.894944+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/AIT2U22C/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.