AI RESEARCH
TopoPrimer: The Missing Topological Context in Forecasting Models
arXiv CS.LG
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ArXi:2605.15035v1 Announce Type: new to any forecasting model. TopoPrimer improves accuracy across diverse domains, stabilizes forecasts under seasonal demand spikes, and closes the cold-start gap. Precomputed once per domain via persistent homology and spectral sheaf coordinates, TopoPrimer deploys per token for fully-trained models and as a lightweight adapter for pre-trained backbones. Of these two components, sheaf coordinates are the primary accuracy driver.