Integrity report for Divide et Calibra: Multiclass Local Calibration via Vector Quantization

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

arXiv:2605.21060 · pith:2026:52V7YDRL63VQ5SRTIZCGOKBGAV

0Critical

0Advisory

6Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 06:01:51.693164+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 05:50:29.528203+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:02:40.735333+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 11:50:15.912883+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 08:24:27.654734+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:00.889226+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/52V7YDRL/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.