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Unifying non-Markovian Dynamics and Agent Heterogeneity in Scalable Stochastic Networks
Stochastic processes underpin dynamics across biology, physics, epidemiology, and finance, yet accurately simulating them remains a major challenge. Classical approaches such as the Gillespie algorithm are exact for Markovian, time-independent systems, where propensities depend only on the current s
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