Integrity report for GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition

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

arXiv:2605.25061 · pith:2026:2G7JKKBOYZLL2QZ33MXGLY23VS

0Critical

0Advisory

3Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 08:35:16.584133+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-29 16:45:31.746039+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 19:53:30.102509+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2G7JKKBO/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.