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1. Introduction Modern 5G radio access networks have reached a level of complexity where traditional automation approaches are no longer sufficient. While machine learning has been widely adopted in telecom analytics, most deployed solutions still behave as passive systems: they ingest data, run inference, and output a score, label, or alert. In practice, experienced RAN engineers do not work this way. They observe symptoms, form hypotheses, validate those hypotheses by check