Integrity report for Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

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

arXiv:2605.08103

0Critical

0Advisory

2Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-21 08:36:34.171258+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 22:47:40.587159+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.08103/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.