pith. sign in

Integrity report for Efficient and provably convergent end-to-end training of deep neural networks with linear constraints

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

arXiv:2605.11526

0Critical
0Advisory
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 18:28:21.171701+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 04:02:00.654815+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 12:34:15.442041+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 09:31:18.870054+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.11526/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.