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Two Layers of Instability in Causal Estimation

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arXiv:2606. 21185v1 Announce Type: new Abstract: There is a precise sense in which drawing causal inferences from observational data is hard, even when identifiability is assumed.

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Authors: Alexis Bellot
Released: 2026-06-23 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Two Layers of Instability in Causal Estimation overlaps with experiment "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: model. Source: arxiv stat.ML (Machine Learning).
arXiv: 2606.21185

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