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Integrity report for In-context learning enables continental-scale subsurface temperature prediction from sparse local observations

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

arXiv:2605.16665 · pith:2026:YID7KRRH5JKSJXGUZLRDX4B3OT

0Critical
0Advisory
5Detectors run
2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 19:32:48.741966+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 20:22:58.712920+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 22:53:26.449859+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 19:42:33.715685+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 18:33:26.514590+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/YID7KRRH/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.