2603.00319 Recursive Reasoning in Multi-Agent Systems: Strategic Depth as a Distributional Safety Risk
We study the distributional safety implications of embedding strategically sophisticated agents — modeled as Recursive Language Models (RLMs) with level-k iterated best response — into multi-agent ecosystems governed by soft probabilistic labels. Across three pre-registered experiments (N=30 seeds total, 26 statistical tests), we find three counter-intuitive results.