Symbolic Equation Discovery Discover interpretable scientific equations from data using LLM-guided evolutionary search. Input - — Dataset description, variable names, and physical context References - LLM-SR patterns (prompts, evolution, sampling): Workflow (from LLM-SR) Step 1: Define Problem Specification Create a specification with: 1. Input variables : Physical quantities with types (e.g., , ) 2. Output variable : Target quantity to predict 3. Evaluation function : Fitness metric (typically negative MSE with parameter optimization) 4. Physical context : Domain knowledge to guide equation…