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Integrity report for Machine learning potential as a guide for eutectic in ultra-refractory multicomponent ceramics

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

arXiv:2605.16091 · pith:2026:X5DVB4ZEU34GI4TW3QOE4EHLHM

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 17:38:17.347829+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 17:32:35.801364+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-24 02:53:05.210191+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 17:48:16.260381+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 17:02:31.745957+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/X5DVB4ZE/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.