Benchmarking and Enhancing Agentic Causal Discovery

What this work does

Introduces Heuresis, a benchmark of anonymized simulated datasets designed to test whether agents diagnose and repair causal-discovery errors rather than exploit semantic variable names or merely select an existing algorithm.