Integrity report for A Non-Monotone Preconditioned Trust-Region Method for Neural Network Training

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

arXiv:2605.14860 · pith:2026:HCOQHVM5EKZAWPMPLT46VR4LCW

0Critical

0Advisory

2Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 15:22:05.611190+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 05:39:19.507201+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/HCOQHVM5EKZAWPMPLT46VR4LCW/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.