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The Rank the Task Demands: A Causal Rank Law for Matrix Memories Trained on Group Composition
Matrix-valued memories make rank the natural budget of a learned representation: the number of independent directions a state spans bounds what it can bind, compose, and track. We report causal evidence, on a group-composition testbed trained under a hard single-state bottleneck with a fixed decoder
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