Structured Sparse Memory for Recurrent Reasoning
Combines a recurrent reasoner with sparse, compositional task embeddings for ARC puzzles. Studies how task-memory size, recurrent depth, and training horizon affect performance.
First public: · Added to this list: October 18, 2026
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arXiv:2609.33270 · Initial submission: 2026-09-27
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.
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