Structural Causal Models

Also known as SCM

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8 papers in the last four weeks, up 60% on the four weeks before. 0.1% of all new papers.

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  1. AdaPS-LiNGAM: Adaptive Predecessor Selection for Linear Non-Gaussian Acyclic Models under Small-Sample Settings

    Oct 7, 2026Shun Yanashima, Kentaro Kanamori, Hirofumi SuzukiCausal DiscoveryCausal Structure Learning

    Artificial Intelligence Laboratory, Fujitsu Limited, 4-1-1 Kamikodanaka, Nakahara-ku, Kawasaki, 211-8588, Kanagawa, Japan.

  2. Probabilistic Counterfactual Inference for Discrete Outcomes in Gaussian-Process Causal Models

    Oct 6, 2026Juliette Sinnott, Amir-Hossein Karimi, Mohammad KohandelStructural Causal ModelsCausal Counterfactual Generation

    Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada · Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada · Vector Institute for Artificial Intelligence, Toronto, Ontario, M5G 0C6, Canada

  3. Same Predictions, Different Harms: Causal Auditing of Patient World Models

    Oct 4, 2026Yicheng Qi, Xiyi XiongStructural Causal ModelsCausal World Models

    Imperial College London, London, United Kingdom

  4. Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders

    Sep 29, 2026Sadegh Khorasani, Ali Najar, Saber Salehkaleybar +1Structural Causal ModelsCausal Discovery

    School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland · Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands · College of Management of Technology, EPFL, Lausanne, Switzerland

  5. Beyond Conditional Independence: Root Cause Analysis with Deep Causal Models

    Sep 29, 2026Md Musfiqur Rahman, Kenneth Lee, Ziwei Jiang +3Structural Causal ModelsCausal Inference

    Electrical and Computer Engineering, Purdue University · Computer Science, Johns Hopkins University · Intuit AI Research +1

  6. ITSY: Causal Discovery From Irregular Time-Series Data

    Sep 20, 2026Wenbo Xu, Yue He, Yunhai Wang +2Irregular Time-Series ModelingStructural Causal Models

    Renmin University of China, China · Zhejiang University, China

  7. Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

    Sep 17, 2026Sambit Mishra, Yingying Wang, Christine K. Johnson +1Structural Causal ModelsCausal Discovery

    University of Southern California · University of California, Davis

  8. Provable Guarantees and Efficient Learning of Structural Equation Models with Latent Confounders

    Sep 16, 2026Weijian Yu, Jean HonorioStructural Causal ModelsLow-Rank Matrix Decomposition

    CIS, The University of Melbourne

  9. On the Identifiability of Mixed Ordinal and Exponential Family Causal DAGs under Linear Parametric Models

    Sep 16, 2026Sambit Mishra, Urbashi MitraStructural Causal ModelsCausal Discovery

    Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles, CA 90089, USA

  10. CausalArena: Benchmarking Causal Discovery in the Foundation Model Era

    Sep 10, 2026Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang +1Causal Foundation ModelsStructural Causal Models

    School of Artificial Intelligence, Nanjing University

  11. A Computationally Feasible Framework for Causal Probabilistic Explanation

    Sep 3, 2026Rafal Urbaniak, Sam Witty, Daniel Waxman +7Structural Causal ModelsActual Causality

    Basis Research Institute · Sorbus AI · Massachusetts Institute of Technology +3

  12. Federated Causal Discovery via Regression-Directed Cumulants

    Sep 3, 2026Pablo Torrijos, Fabio Stella, José A. Gámez +1Structural Causal ModelsCausal Discovery

    Departamento de Sistemas Inform´aticos Universidad de Castilla-La Mancha Albacete, Spain · Dipartimento di Informatica, Sistemistica e Comunicazione Universit`a degli Studi di Milano Bicocca Milano, Italy · Departamento de Sistemas Inform´aticos2026 Universidad de Castilla-La Mancha Albacete, Spain

  13. EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation

    Sep 1, 2026Qing Zhao, Haowei Li, Weijian Deng +3Belief RevisionStructural Causal Models

    Sun Yat-sen University · Tsinghua Shenzhen International Graduate School, Tsinghua University

  14. Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome

    Aug 11, 2026Fabrizio Russo, Mark SomersStructural Causal ModelsCausal Abstraction

    Department of Computing, Imperial College London · London, UK · Fifty One Degrees Ltd

  15. Expert-Guided g-computation with Large Language Models for Estimating Causal Effects on Timings: Applications to Hospital Quality Improvement

    Aug 11, 2026Patrick Vossler, Jialin Ouyang, F. Richard Guo +5Causal Effect EstimationStructural Causal Models

    University of California, San Francisco · University of Michigan, Ann Arbor · University of Washington, Seattle

  16. Adversarial Causal Intervention Falsification

    Aug 5, 2026Mojtaba EslamiStructural Causal ModelsCausal Discovery

    University of Calgary

  17. Implementing Causal Perception: Competing SCMs and Situated Fairness

    Aug 4, 2026Jose M. ÁlvarezStructural Causal ModelsAlgorithmic Fairness

    Santander AI Lab, Madrid, Spain

  18. Robust Counterfactual Policy Optimisation via Nondeterministic Causal Models

    Aug 3, 2026Jessica Lally, Milad Kazemi, Nicola Paoletti +2Markov Decision ProcessesStructural Causal Models

    1King’s College London · 2Durham University · University College London

  19. Orca: Neural Operators for Causal Reasoning in Continuous Time

    Jul 30, 2026Gerrit Großmann, David A. Selby, Sebastian J. VollmerStructural Causal ModelsCausal Counterfactual Generation

    German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

  20. DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series

    Jul 29, 2026Dennis Thumm, Billy Tim Anthony, Ying ChenCounterfactual EvaluationStructural Causal Models

    National University of Singapore, Singapore, Singapore

  21. PerturbPFN: Probing the Limits of Synthetic Priors in Drug Perturbation Modelling

    Jul 26, 2026Yuche Gao, José Miguel Hernández-Lobato, Siyuan GuoSynthetic Data PretrainingStructural Causal Models

    University of Cambridge, Cambridge, United Kingdom · Prior Labs, Freiburg, Germany

  22. Beyond Directed Acyclic Graphs: Causal Zeros and Causal Differential Equations

    Jul 24, 2026Sergei V. KalininStructural Causal ModelsCausal Identifiability

    Department of Materials Science and Engineering, University of Tennessee, Knoxville

  23. Learning Bidirectional Causal Interactions with Heteroscedastic Neural Networks

    Jul 24, 2026Masahiro TanakaCausal Effect EstimationStructural Causal Models

    Faculty of Economics, Fukuoka University, Fukuoka, Japan

  24. Interventional Score Geometry for Causal Inference

    Jul 24, 2026Mojtaba EslamiInformation GeometryStructural Causal Models

    Post-doctoral Researcher, University of Calgary.

  25. Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits

    Jul 23, 2026Faraz Dadgostari, Neda NazemiCounterfactual EvaluationStructural Causal Models

    Department of Mechanical & Industrial Engineering, Montana State University · Gianforte School of Computing, Montana State University

  26. Verifying formulas for interventional distributions

    Jul 15, 2026Francesco Freni, Leonard Henckel, Sebastian WeichwaldStructural Causal ModelsCausal Identifiability

    Department of Mathematical Sciences, University of Copenhagen, Denmark · School of Mathematics and Statistics, University College Dublin, Ireland

  27. DAG-FM: A Foundation Model for Causal Discovery under Heterogeneous Causal Mechanisms

    Jul 13, 2026Yikang Chen, Zhengkang Guan, Haoyuan Qian +3Causal Foundation ModelsTabular Foundation Models

    1Zhejiang University · 2Tsinghua University

  28. How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding

    Jul 10, 2026Debargha Ghosh, Silja Renooij, Anna V. KononovaStructural Causal ModelsBayesian Networks

    Department of Information and Computing Sciences, Utrecht University · Leiden Institute of Advanced Computer Science, Leiden University

  29. CausalDS: Benchmarking Causal Reasoning in Data-Science Agents

    Jul 9, 2026Andrej Leban, Yuekai SunStructural Causal ModelsAI Agent Benchmarks

    Department of Statistics University of Michigan Ann Arbor, MI, United States

  30. Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants

    Jul 7, 2026Ming Cai, Hisayuki HaraStructural Causal ModelsCausal Discovery

    Graduate School of Informatics, Kyoto University, Kyoto, Japan · Institute for Liberal Arts and Sciences, Kyoto University, Kyoto, Japan