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Integrity report for Learning to Evaluate: Cost-Effective Model Evaluation on Unlabeled Data with Meta-Learning

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

arXiv:2605.23595 · pith:2026:FAZV7SP24JREODXEUZUXFBPZHY

0Critical
0Advisory
8Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-06-05 21:16:23.265073+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 21:06:15.542031+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-03 05:05:38.522751+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-06-03 05:01:53.684015+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-06-01 03:41:13.078331+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 12:44:50.367550+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 09:51:58.988873+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 07:24:56.078344+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FAZV7SP24JREODXEUZUXFBPZHY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.