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Integrity report for Optimal Data Acquisition for Reinforcement Learning: A Large Deviations Perspective

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

arXiv:2605.28675 · pith:2026:IQXX7PPSD4SZ7OGZQRXVCQEPNG

0Critical
0Advisory
6Detectors 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 03:35:38.467283+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 11:27:44.404424+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-28 23:31:45.921811+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-28 13:50:00.341731+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 05:50:24.920149+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 04:23:51.514889+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/IQXX7PPS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.