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Integrity report for Multiple Neural Operators Achieve Near-Optimal Rates for Multi-Task Learning

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

arXiv:2605.22724 · pith:2026:DV5JSGR2ICEKKBTT56VHDLIKNC

0Critical
0Advisory
8Detectors run
2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-27 07:53:12.092167+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 08:02:54.612311+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 06:24:02.720566+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-24 17:36:35.150578+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 09:50:18.577868+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 09:51:25.343725+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 03:53:18.110936+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 02:33:37.966010+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/DV5JSGR2/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.