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Physical-layer edge communication can be optimized directly for downstream LLM reasoning utility rather than raw signal-to-noise ratio, using simulated adversarial exams to score distributed sensor memories.
Forget optimizing for sensing or compute – MA-EQA performance skyrockets when you allocate communication power based on how well agents *remember* what they've seen.
