Integrity report for Eigen for Statistical and Machine Learning Computing: A Lightweight C++ Tutorial with Python Bindings

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

arXiv:2605.22030 · pith:2026:MAGD67L5C7MJQIDEH2S67YKKBV

0Critical

0Advisory

7Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-06-05 08:06:10.017828+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-06-03 09:53:07.471631+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 05:40:50.060713+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 15:04:29.692921+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 23:51:17.342867+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 13:50:41.405874+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 14:23:41.844141+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/MAGD67L5/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.