Integrity report for Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?

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

arXiv:2605.20606 · pith:2026:WNUMPSP3PYHXATVPQHGA2LZJAD

0Critical

0Advisory

6Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 06:10:49.448677+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 06:01:52.263100+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 05:02:41.914032+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 23:49:55.776606+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 15:57:28.515215+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 02:33:38.633392+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WNUMPSP3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.