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What Survives When You Compress a Recursive Reasoner for the Edge?

arXiv cs.LG ↗ · 2026-06-26 Cached

A systematic study of compressing recursive reasoning models for edge hardware finds that aggressive quantization destroys global reasoning while preserving local prediction. The paper introduces per-channel calibrated INT4 to recover reasoning ability and provides deployment recipes fitting 8 MB SoC and 4 MB MCU targets.

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