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This paper introduces Boundary_Sync, a protocol measuring representational coupling in multi-agent LLM systems. Experiments with GPT-4o show that communication causes significant homogenization in both text and image modalities, but group size moderates the direction, with larger groups leading to homogenization and smaller groups to diversification.
Introduces Independent Combinatorial Tokens (ICT) framework that uses Jensen-Shannon divergence between token logit distributions to identify critical branching points, preventing entropy collapse and explosion in RLVR for LLM reasoning. Achieves up to 14.9% pass@4 improvement on Qwen models.