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Integrity report for Towards a more realistic evaluation of machine learning models for bearing fault diagnosis

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

arXiv:2509.22267 · pith:2025:7YGU22KU6SF44F443BUSB3BPKS

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Paper page arXiv integrity.json bundle.json

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Signed record

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