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The observational partial order of causal structures with latent variables

arxiv.org/abs/2502.07891

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Updated 4 h ago · first seen 11 Sept 2026

paper_01M294FSQZ3TS79SFED5BKRS9C

Published
11 Sept 2026
T1 · 4 h ago
arXiv
2502.07891
T1 · 4 h ago
Category
stat.ML
T1 · 4 h ago

Abstract

-cross Abstract: For two causal structures with the same set of visible variables, one is said to observationally dominate the other if the set of distributions over the visible variables realizable by the first contains the set of distributions over the visible variables realizable by the second. Knowing such dominance relations is useful for adjudicating between these structures given observational data. Here, we consider the problem of determining the partial order of equivalence classes of causal structures with latent variables relative to observational dominance. We provide a complete characterization of the dominance order in the case of three visible variables, and a partial characterization in the case of four visible variables. Our techniques also help to identify which observational equivalence classes have a set of realizable distributions that is characterized by nontrivial inequality constraints, analogous to Bell inequalities and instrumental inequalities. We find evidence that as one increases the number of visible variables, the equivalence classes satisfying nontrivial inequality constraints become ubiquitous. (Because such classes are the ones for which there can be a difference in the distributions that are quantumly and classically realizable, this implies that the potential for quantum-classical gaps is also ubiquitous.) Furthermore, we find evidence that constraint-based causal discovery algorithms that rely solely on conditional independence constraints have a significantly weaker distinguishing power among observational equivalence classes than algorithms that go beyond these (i.e., algorithms that also leverage nested Markov constraints and inequality constraints).

Authors 3

Marina Maciel Ansanelli, Elie Wolfe, Robert W. Spekkens

Specification

Official page

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

Arxiv announce type
replace

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

arXiv id
2502.07891

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

Categories
stat.ML, cs.LG, quant-ph

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

DOI
10.1515/jci-2025-0009

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

PDF

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

Primary category
stat.ML

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

Published
11 Sept 2026

Source:arXiv (Atom API + RSS)T1observed 4 h agohigh

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Provenance

Attributed facts

10

Source tiers

T110

Freshest observation

4 h ago

Conflicts

None