Integrity report for Blending machine learning and physics-based approaches for weather and climate: a typology

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

arXiv:2605.20925 · pith:2026:MQEOV7KZMZG7RJM7N73DEBIG4V

0Critical

0Advisory

6Detectors run

2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 04:23:01.738830+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-23 02:32:35.281214+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-23 02:32:05.641984+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 15:49:54.746384+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 10:23:32.851299+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.613371+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/MQEOV7KZ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.