pith. sign in

Integrity report for Transferable 3D Convolutional Neural Networks for Elastic Constants Prediction in Nanoporous Metals

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

arXiv:2605.20890 · pith:2026:HZOAD77SY2C24MUYBH2ZQHJ2FA

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 04:39:58.990389+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 04:31:49.276511+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:22:41.415250+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 15:50:15.415556+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 10:52:50.470975+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.656940+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/HZOAD77S/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.