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Existing "private" graph explanations quietly leak sensitive edges with an empirical AUC of 1.0 and implied privacy budgets exceeding $\varepsilon = 700$, exposing a structural flaw that can only be solved by enforcing data-independent intervention universes.
Current memory agents fail to provide reliable governance in shared settings, with no method achieving a balance between utility, access control, and forgetting.