Integrity report for DEL: Digit Entropy Loss for Numerical Learning of Large Language Models

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

arXiv:2605.20369 · pith:2026:HUQEYUCZSAHTFQBSUNZADP5BB7

0Critical

0Advisory

5Detectors 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 08:02:42.010271+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 08:00:44.874689+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 07:43:44.871803+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 19:52:26.740887+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 03:33:30.061123+00:00

Findings

No public integrity findings for this paper.

Signed record

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