Integrity report for GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling

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

arXiv:2606.04516 · pith:2026:XYYSSUF2WJ4EJ3FOGN5B3DCEQI

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 04:09:14.706477+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 17:51:08.760806+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 11:57:23.950201+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 02:35:37.489347+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/XYYSSUF2/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.