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Integrity report for Hista and Numca: Estimate State Value Effectively for LLM 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:2605.29782 · pith:2026:D3ZMZJXCA5OSSOAYNUDWLBHXLT

0Critical
0Advisory
4Detectors run
2026-05-30Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-30 17:50:40.392791+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-30 03:05:47.663948+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 11:54:36.480279+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-29 03:34:28.965298+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/D3ZMZJXCA5OSSOAYNUDWLBHXLT/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.