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Integrity report for Benchmarking Machine Learning Uncertainty Quantification Methodologies for Predicting Turbine Gas Temperature Degradation

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

arXiv:2605.30585 · pith:2026:NPEPEZ3XRB3BGDGVPUD2PYJAQW

0Critical
0Advisory
3Detectors run
2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 11:08:23.676561+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-01 17:55:48.951979+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-01 03:35:04.804765+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/NPEPEZ3X/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.