Integrity report for Distance-Matrix Wasserstein Statistics for Scalable Gromov--Wasserstein Learning

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

arXiv:2605.14981 · pith:2026:THXMIUSDABESEZS3OIDXHTTB7W

0Critical

0Advisory

4Detectors run

2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 06:39:49.366356+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 19:23:06.171133+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 16:22:30.502646+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 09:50:00.494817+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/THXMIUSDABESEZS3OIDXHTTB7W/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.