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Integrity report for Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods

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

arXiv:2607.06261 · pith:2026:ZFVAF5OKLRUROZHTLHZYZAD2KD

0Critical
0Advisory
4Detectors run
2026-07-09Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-07-09 09:54:17.331742+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-07-09 09:21:48.927938+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-07-09 08:00:57.119512+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-07-09 07:35:18.800572+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/ZFVAF5OK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.