Multi-agent architecture claims first experimental evidence of recursive self-improvement

Paper presents a multi-agent architecture driven by goals, scope, tools, and benchmarks to enable recursive self-improvement (RSI) in LLM agents. Authors claim this is the first experimental demonstration of RSI, where agents iteratively improve their own learning and action mechanisms.