pith. sign in

Integrity report for Diversity-Aware Batch-Mode Active Learning for Efficient Sampling in Data-Driven Constitutive Modeling

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

arXiv:2605.19993 · pith:2026:L6QYEFSO77LZBDTSU3Z4IM2RF5

0Critical
0Advisory
8Detectors run
2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 03:35:34.992085+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 03:31:36.955816+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 03:22:20.413231+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-20 23:36:28.681450+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 17:50:40.007719+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 07:50:35.867471+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 05:23:31.713205+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:27.932220+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/L6QYEFSO/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.