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Beyond identifiability: Learning causal representations with few environments an

BACKGROUND
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30 Mar
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27 Aug
Partial Identification under Causal Orders by Linear Programming

arXiv:2608.24427v1 Announce Type: new Abstract: Non-parametric (partial) identification of counterfactual queries typically relies on a fully specified causal graph. Motivated by

REPORT · WHAT · ArXiv CS.AIOPEN STORY
24 Aug
Foundation Models for Partial Causal Identification

arXiv:2608.20841v1 Announce Type: new Abstract: This paper investigates the development of causal foundation models for bounding the effect of interventions and counterfactuals

REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 Jun
Relational Structural Causal Models

arXiv:2606.14892v1 Announce Type: new Abstract: An artificial intelligence must have a model of its environment that is causal, supporting reasoning about interventions and

REPORT · WHERE · ArXiv CS.AIOPEN STORY
28 May
Why LLMs Fail at Causal Discovery and How Interventional Agents Escape

arXiv:2605.27567v1 Announce Type: new Abstract: Causal discovery is a cornerstone of scientific reasoning, yet whether large language models can perform it reliably remains an

REPORT · HOW · ArXiv CS.AIOPEN STORY
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