Integrity report for A fast Physics-Informed Neural Networks based approach to the 2D design of turbine blades

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

arXiv:2605.07131 · pith:2026:F6VZU2KV5WMX6RP5NDK4WZPPRW

0Critical

0Advisory

4Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 11:22:03.389682+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 06:36:04.979786+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 17:01:20.056774+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 12:03:02.703346+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/F6VZU2KV5WMX6RP5NDK4WZPPRW/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.