Integrity report for Quantile Geometry Regularization for Distributional 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:2605.08182

0Critical

0Advisory

3Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 13:38:54.155794+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 01:01:21.253059+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 15:14:58.315949+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.08182/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.