GRALIS unifies linear XAI attribution methods via a Riesz Representation Theorem-derived canonical form (Q, w, Delta), delivering seven theorems on completeness, convergence, interactions, and multi-scale extensions.
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GRALIS: A Unified Canonical Framework for Linear Attribution Methods via Riesz Representation
GRALIS unifies linear XAI attribution methods via a Riesz Representation Theorem-derived canonical form (Q, w, Delta), delivering seven theorems on completeness, convergence, interactions, and multi-scale extensions.