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This paper proposes a lightweight monitoring primitive for tracking interpretable parameter–KPI dependencies in AI-integrated Radio Access Networks (AI-RAN) to enable conflict detection and slow-loop model refresh, using Boolean matrix representations and sliding-window inference.