Integrity report for Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines

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

arXiv:2605.22155 · pith:2026:PP6N2Z2T3XB7YWD6SU2MR66GPW

0Critical

0Advisory

7Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 08:32:40.997039+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 08:19:31.148963+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 04:03:40.859030+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 21:50:52.648574+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 05:50:24.813388+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 12:22:49.410016+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 01:33:42.945892+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/PP6N2Z2T/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.