TopoPrimer: The Missing Topological Context in Forecasting Models

TopoPrimer injects global topological structure into forecasting models for improved accuracy and stability. The framework uses persistent homology and spectral sheaf coordinates to provide explicit contextual input, significantly closing cold-start gaps and stabilizing forecasts during demand spikes. Sheaf coordinates are identified as the key driver of accuracy improvements.

Opening Kapyn…