Integrity report for How to Mitigate the Distribution Shift Problem in Robotics Control: A Robust and Adaptive Approach Based on Offline to Online Imitation Learning

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

arXiv:2605.25414 · pith:2026:KKWFDM4LPOTOQKQXPSGEZPB5WJ

0Critical

0Advisory

4Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 07:35:16.534355+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-31 13:06:45.995322+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 19:50:18.355190+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 13:53:28.113500+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/KKWFDM4LPOTOQKQXPSGEZPB5WJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.