Integrity report for MLSkip: Data Skipping for ML Filters via Lightweight Metadata

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

arXiv:2606.03946 · pith:2026:5M4X7LVYMNJMHHN2E2JBDJINVB

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 04:49:15.653097+00:00

external_links completed v1.0.0 · findings 0 · 2026-06-03 17:32:04.106647+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-03 05:50:26.315470+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 03:51:00.590160+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 02:56:35.363464+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 02:35:24.286870+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5M4X7LVYMNJMHHN2E2JBDJINVB/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.