Integrity report for From Simple to Complex: Curriculum-Guided Physics-Informed Neural Networks via Gaussian Mixture Models

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

arXiv:2605.19263 · pith:2026:5YKGYW7U5WDQWWMYM35DVLMWXI

0Critical

0Advisory

6Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 04:42:20.698780+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 23:50:20.574355+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 16:22:37.682112+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 07:31:22.511552+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-20 07:31:10.526996+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:37.089527+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/5YKGYW7U/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.