Model-selective causal estimators (IPW, regression) can jump discontinuously under small data shifts because they pick one SCM from a multimodal posterior, while effect-aligned summaries (posterior mean/median) remain continuous.
arXiv preprint arXiv:1904.02826 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
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A single numerical Jacobian, under a log-linear monomial assumption, recovers global identifiable parameter combinations and supports likelihood-based uncertainty quantification.
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A conceptual argument that data-driven scientific models generalize outside their training data only when their mathematical form matches the true governing equation, which rules out neural operators and neural boundary-value models.