Integrity report for A Self-Evolving Machine-Learning-Based Kinetic Monte Carlo Method for Modelling Thin-Film Growth

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

arXiv:2605.31144 · pith:2026:UW3S6WM4BLS4KNZECYXEP4B6VG

0Critical

0Advisory

4Detectors run

2026-06-04Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 17:09:04.881557+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-01 11:50:48.832755+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 08:55:43.954286+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 01:35:04.685293+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/UW3S6WM4/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.