Integrity report for Efficient Post-training of LLMs for Code Generation With 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:2605.28409 · pith:2026:E5Z7M2DX355WQD6RTGGOW5MBPM

0Critical

0Advisory

5Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 03:35:38.824793+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 12:27:45.935798+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 01:53:47.378000+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 01:50:22.269902+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-28 01:49:59.497995+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/E5Z7M2DX355WQD6RTGGOW5MBPM/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.