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Integrity report for ChainzRule: Sample-Efficient, Robust Deep Learning Across Tabular, NLP, and Vision Tasks

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

arXiv:2605.24340 · pith:2026:BZWQ4MOSUYWHG2RCJCC3Z5YDBH

0Critical
0Advisory
3Detectors run
2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 10:35:17.166360+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-30 03:54:56.358526+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 10:04:48.191930+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BZWQ4MOS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.