Integrity report for A numerical study into neural network surrogate model performance for uncertainty propagation

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

arXiv:2605.16078 · pith:2026:YAVSXEKDAO3RESJKVXDLHAPRTJ

0Critical

0Advisory

5Detectors run

2026-05-24Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 19:02:37.637822+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 02:53:23.101122+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 19:28:38.985515+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 17:02:31.758914+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 17:33:41.538648+00:00

Findings

No public integrity findings for this paper.

Signed record

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