Evolving Idea Graphs: Multi-Agent Scientific Ideation via Learnable Edit-and-Commit Operations

arXiv·medium signal

EIG introduces a graph-based multi-agent scientific ideation framework where agents refine research ideas through explicit graph edit operations (analogous to git commits). Unlike draft/chat-based coordination, the graph structure makes it possible to pinpoint exactly which weakness an agent addressed and how. Directly relevant to anyone building multi-agent systems for knowledge work or research automation.