pith. sign in

Integrity report for EvoTrainer: Co-Evolving LLM Policies and Training Harnesses for Autonomous Agentic 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:2606.03108 · pith:2026:B7P5WTF6BFSRUKUGXX2YEA663Y

0Critical
0Advisory
4Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 06:29:17.146670+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 23:51:04.672352+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 15:57:04.555509+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 02:35:24.512205+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/B7P5WTF6/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.