Mechanism Learning: Prototype-Anchored Mechanism Inference for Scientific Forecasting

ArXi:2605.17091v1 Announce Type: new Scientific forecasting typically relies on direct state prediction, an approach that grows brittle under data scarcity, extended horizons, non-stationary dynamics, or high-dimensional complexity. While raw state trajectories are highly sensitive in these regimes, underlying local evolution rules often exhibit robust reusability. We