Multi-Agent System Achieves Autonomous Mathematical Discovery in Open-World Environments

The Station environment enables heterogeneous AI agents to collaborate on research goals without central coordination. In tests across 12 construction problems, the system discovered new infinite families of Kakeya sets and improved lower bounds for Erdős's minimum-overlap problem.