Integrity report for Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

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

arXiv:2605.22177 · pith:2026:BKPQNA562UUNKAQW4HOHRVUGVA

0Critical

0Advisory

6Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 08:03:18.534019+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 08:02:07.103025+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 02:03:00.075218+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-22 17:50:03.949032+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 11:52:54.370459+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:42.917716+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BKPQNA56/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.