CausalSmith automates causal inference proofs with Lean
According to the Stanford AI Lab blog, CausalSmith is an agentic framework that automates theoretical causal inference research by using Lean to verify proofs and an audit step to align formal statements with paper claims.
SourceAnalysis
Stanford AI Lab announced CausalSmith, an agentic framework designed to automate theoretical causal inference research, on October 14, 2026.
The framework uses Lean to verify proofs and incorporates an audit step to confirm that formal statements match the paper claims, according to the Stanford AI Lab announcement.
Stanford AI Lab
@StanfordAILabThe Stanford Artificial Intelligence Laboratory (SAIL), a leading #AI lab since 1963.