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SpatioTemporal Causal Network Diagnostics for Geographic Tipping Point Early Warning

arXiv cs.LG · 2026-06-17 Cached

This paper introduces SpatioTemporal Causal Network Diagnostics (ST-CND), a framework that uses data-driven causal networks and dynamic mode decomposition to provide localized early warning of geographic tipping points, outperforming classical spatial indicators on synthetic and observational benchmarks.

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