Integrity report for RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search

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

arXiv:2605.18004 · pith:2026:KQFTKSYQNQX4WQ7KIVCBHIWLZT

0Critical

0Advisory

5Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 13:50:16.890523+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 13:02:32.782004+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 10:03:22.566568+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 04:22:38.650356+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 23:33:35.537807+00:00

Findings

No public integrity findings for this paper.

Signed record

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