Research
96d agoBOHM Simplifies Attribution for Compound AI Systems
The BOHM framework extracts attribution trees directly from existing routing weights. This replaces computationally expensive Shapley-based methods that fail when using opaque third-party APIs or agentic orchestrators. By calculating path products from root to leaf, it enables zero-cost credit assignment.
The Signal
Practitioners can now audit complex Compound AI systems without re-evaluating arbitrary component subsets.