AI RESEARCH
On Observation Time for Recovering Latent Hawkes Networks
arXiv CS.LG
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ArXi:2605.08400v1 Announce Type: cross Dynamics of interacting systems in engineering, society, and nature often evolve over latent networks that govern which entities can interact. We study the problem of inferring these networks from event-based observations, which arise naturally in finance, seismology, and neuroscience. While there is substantial algorithmic work addressing this important problem, theoretical results are scarce.