Integrity report for Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering

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

arXiv:2605.17771 · pith:2026:WB4G46DV3PQGXWSV4YJI46RZMT

2Critical

0Advisory

4Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 05:22:21.666857+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 01:31:32.494020+00:00

doi_compliance completed v1.0.0 · findings 2 · 2026-05-21 01:24:49.618097+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-20 03:34:03.627168+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WB4G46DV/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.