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Parallel Causal Associative Field Pcaf

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paper · 2026-06-10
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“This paper studies a third primitive: a parallel content-addressed memory over causal successor records. The proposed Parallel Causal Associative Field (PCAF) writes local records from a context window into hash buckets, retrieves a bounded candidate set for the current query, forms a sparse cache distribution over successor tokens, and mixes that cache with a parametric local language model through a learned gate.”

Parallel Causal Associative Fields: A Sparse Memory Approach for Efficient Long- ↗