Symbolic regression works better when you preserve the scientific reasoning behind each equation candidate—not just the formula itself—allowing AI agents to learn from failed attempts and build credible explanations for why one equation is better than others.
AutoSR is an automated system that discovers scientific equations from data by treating symbolic regression as a research investigation rather than just equation fitting.