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Integrity report for Learning Gaussian Graphical Models under Total Positivity via Spectral Graph Sparsification

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

arXiv:2605.17154 · pith:2026:J3UZA5QR75X2IZQCPZ3OUQ5JLX

0Critical
0Advisory
5Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-26 22:37:17.875716+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 17:02:47.044465+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 15:41:26.870039+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 16:53:20.320306+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 22:42:36.873868+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/J3UZA5QR/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.