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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
7Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 08:13:00.636778+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 08:02:54.965691+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 07:24:03.709730+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 21:50:12.055212+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 01:50:55.311005+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.