Integrity report for MSCGC-KAN: Multi-scale Causal Graph Convolution and Kolmogorov-Arnold Feature Mapping 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:2605.26624 · pith:2026:VHZURSSIDBXGPJDPRPCEMMMDOC

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 20:35:58.516093+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 00:47:32.942658+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-27 19:50:21.442793+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 13:23:43.383488+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 02:04:18.337547+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-27 01:34:12.362753+00:00

Findings

No public integrity findings for this paper.

Signed record

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