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A brief overview of our methodology is provided on the Methods page, along with references to publications documenting our approach and links to the code and data used in each study.


The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates.

A Hierarchy of Graphical Models for Counterfactual Inferences

Authors: Hongshuo Yang, Elias Bareinboim

NeurIPS 2025 | Venue PDF | LLM Run Details | Input Tokens: 41,806 Total number of tokens sent to the LLM as input for this paper's analysis. | Output Tokens: 2,662 Total number of tokens produced by the LLM (including reasoning/thinking tokens) for this paper's analysis.

Reproducibility Variable Result LLM Response
Research Type Theoretical The paper does not include experiments. (Justification for question 4, 5, 6, 7, 8 in NeurIPS Paper Checklist)
Researcher Affiliation Academia Hongshuo Yang Elias Bareinboim Causal Artificial Intelligence Lab Columbia University EMAIL EMAIL
Pseudocode Yes Algorithm 1 AMWN-CONSTRUCT(G, W ) Input: Causal Diagram G and a set of counterfactual variables W Output: GA(W ), the AMWN constructed from G and W... Algorithm 2 CTFIDU(Y , y , Z, G)... Algorithm 3 CTFID(Y , y , X , x , Z, G)
Open Source Code No The paper does not include experiments requiring code. (Justification for question 5 in NeurIPS Paper Checklist)
Open Datasets No The paper does not include experiments. (Justification for question 4 in NeurIPS Paper Checklist)
Dataset Splits No The paper does not include experiments. (Justification for question 6 in NeurIPS Paper Checklist)
Hardware Specification No The paper does not include experiments. (Justification for question 8 in NeurIPS Paper Checklist)
Software Dependencies No The paper does not include experiments. (Justification for question 4 in NeurIPS Paper Checklist)
Experiment Setup No The paper does not include experiments. (Justification for question 6 in NeurIPS Paper Checklist)