pith. sign in

Integrity report for Conservative neural posterior estimation via distributionally robust training

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

arXiv:2605.28516 · pith:2026:476X5XX4DV472DP52KRTDFUI5J

0Critical
0Advisory
4Detectors run
2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 12:07:45.413521+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 09:50:25.819473+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 07:23:51.834000+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-28 02:34:19.085394+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/476X5XX4DV472DP52KRTDFUI5J/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.