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Causal Foundation Models

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.03003v1 Announce Type: cross Abstract: Causal inference is the practice of estimating the effect of a treatment or intervention from data. It traditionally requires a bespoke pipeline for every new problem: first proposing a causal mechanism, selecting a compatible estimator, and finally…

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  1. 2026-09-04 04:00 · arXiv stat.ML
    Causal Foundation Models

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