arxiv
PublishedJuly 14, 2026 at 4:00 AM
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Geometric Causal Models
Publisher summary· verbatim
arXiv:2607.05153v2 Announce Type: replace-cross Abstract: Scientists often seek to draw causal inferences from structured data that is not independently and identically distributed, such as spatial data, network data, or molecular data. We develop geometric causal models (GCMs), a framework for caus
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Originally published on arxiv ↗