AI RESEARCH
Agentic Neurosymbolic Collaboration for Mathematical Discovery: A Case Study in Combinatorial Design
arXiv CS.AI
•
ArXi:2603.08322v1 Announce Type: new We study mathematical discovery through the lens of neurosymbolic reasoning, where an AI agent powered by a large language model (LLM), coupled with symbolic computation tools, and human strategic direction, jointly produced a new result in combinatorial design theory. The main result of this human-AI collaboration is a tight lower bound on the imbalance of Latin squares for the notoriously difficult case $n \equi 1 \pmod{3