Integrity report for Exact Convex Reformulations of Linear Neural Networks via Completely Positive Lifting

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

arXiv:2605.17692 · pith:2026:SCPXQNZDIYK4OUPKFWSRB6ZCEH

0Critical

0Advisory

7Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 21:35:23.523126+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 21:28:18.562999+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 15:02:46.325339+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 21:23:35.953329+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 21:51:57.526512+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-19 21:49:43.948874+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 21:49:43.747761+00:00

Findings

No public integrity findings for this paper.

Signed record

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