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Integrity report for Trajectory-Level Data Augmentation for Offline 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:2605.13401 · pith:2026:WDN37A2CPHVWSGUB3MV65FD7FP

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 10:37:39.541431+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 17:31:44.293711+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 07:15:46.678176+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-19 19:41:56.687978+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WDN37A2C/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.