Towards Continuous-time Causal Foundation Models

In three linesPaper proposing continuous-time causal foundation models for time series using stochastic differential equations (SDEs). Introduces trajectory-law invariance criterion and three-tier taxonomy. Validation on pharmacokinetic and physical-system data shows fine-grid integration outperforms naive approach on 8/8 configurations (p<1/256).

Summary generated by Claude — human-verified