Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints

Tadahisa Okuda, Shohei Shimizu, Thong Pham +2

Causal discovery has achieved substantial theoretical progress, yet its deployment in large-scale longitudinal systems remains limited. A key obstacle is that operational data are…