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Integrity report for Force-Aware Neural Tangent Kernels for Scalable and Robust Active Learning of MLIPs

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

arXiv:2605.13788 · pith:2026:3DZXNGPVBX5U2PTADYKNJYDB6K

1Critical
0Advisory
6Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 1 · 2026-05-20 23:16:47.448132+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 23:01:31.449566+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 20:22:12.695338+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 07:39:57.008542+00:00
doi_compliance completed v1.0.0 · findings 1 · 2026-05-19 06:13:12.782938+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 06:01:16.992274+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.13788/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.