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. CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

    May 25, 2026Junlin Yang, Dylan Zhang, Xiangchen Song +7Structural Causal ModelsLLM Agent Evaluation

    Tsinghua University · University of Illinois Urbana-Champaign · Carnegie Mellon University +2

  2. Evolving Causal Regulatory Networks (ECR-Net)

    May 24, 2026Govind Vallabhasseri Binish, Abdhul Ahadh, Rano Roy Kavanal +1Structural Causal ModelsCausal Discovery

  3. Score-Based Causal Discovery of Latent Variable Causal Models

    May 19, 2026Ignavier Ng, Xinshuai Dong, Haoyue Dai +3Latent Variable ModelsStructural Causal Models

    Carnegie Mellon University · University of California, San Diego · Mohamed bin Zayed University of Artificial Intelligence

  4. Exploiting Non-Negativity in DAG Structure Learning

    May 19, 2026Samuel Rey, Madeline navarro, Gonzalo MateosGraph Structure LearningStructural Causal Models

    Dept. of Signal Theory and Communications, Universidad Rey Juan Carlos, Madrid, Spain · Dept. of Electrical and Computer Engineering, Rice University, Houston, TX 77005, USA · Dept. of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627, USA

  5. A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning

    May 19, 2026Honglin Du, Muxuan Liang, Xiang ZhongStructural Causal ModelsClustering

    Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA · Department of Biostatistics, MD Anderson Cancer Center, Houston, TX 77030, USA

  6. CasualSynth: Generating Structurally Sound Synthetic Data

    May 17, 2026Zehua Cheng, Wei Dai, Jiahao Sun +1Structural Causal ModelsSynthetic Data Generation

    Department of Computer Science, University of Oxford · FLock.io United Kingdom · Institute of Logic and Computation, TU Wien

  7. TriOpt: A Scalable Algorithm for Linear Causal Discovery

    May 17, 2026Rafat Ashraf Joy, Elena ZhelevaStructural Causal ModelsCausal Discovery

    University of Illinois Chicago

  8. Prediction-Intervention Games and Invariant Sets

    May 16, 2026Linus Kühne, Felix Schur, Jonas PetersStructural Causal ModelsGame Theory

    Seminar for Statistics and ETH AI Center · ETH Zurich · Zurich, Switzerland +1

  9. Causal Learning with the Invariance Principle

    May 13, 2026Francesco Montagna, Francesco LocatelloStructural Causal ModelsCausal Discovery

    Institute of Science and Technology Austria

  10. Coarsening Linear Non-Gaussian Causal Models with Cycles

    May 11, 2026Francisco Madaleno, Francisco C Pereira, Alex MarkhamStructural Causal ModelsCausal Discovery

    Department of Technology, Management and Economics, Technical University of Denmark · Department of Mathematical Sciences,11 University of Copenhagen

  11. CIVeX: Causal Intervention Verification for Language Agents

    May 9, 2026Fabio RovaiStructural Causal ModelsTool-Using Agents

    The Tesseract Academy

  12. CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators

    May 9, 2026Nicolás Astorga, Anita Kriz, Mihaela van der SchaarStructural Causal ModelsKnowledge Augmentation for Language Models

    DAMTP, University of Cambridge, Cambridge, UK

  13. PerCaM-Health: Personalized Dynamic Causal Graphs for Healthcare Reasoning

    May 8, 2026Elahe Khatibi, Ziyu Wang, Saba A. Farahani +4Structural Causal ModelsHealthcare

    University of California, Irvine · Washington University in St. Louis

  14. Data-Driven Covariate Selection for Nonparametric and Cycle-Agnostic Causal Effect Estimation

    May 7, 2026Ana Leticia Garcez Vicente, Gijs van Seeventer, Saber SalehkaleybarCausal Effect EstimationStructural Causal Models

    Leiden University Netherlands

  15. Causal Reinforcement Learning for Complex Card Games: A Magic The Gathering Benchmark

    May 7, 2026Cristiano da Costa Cunha, Ajmal Mian, Tim French +1RL BenchmarksStructural Causal Models

    Department of Computer Science and Software Engineering, University of Western Australia, 6009 WA Australia

  16. Tuning Derivatives for Causal Fairness in Machine Learning

    May 7, 2026Filip Edström, Guilherme W. F. Barros, Tetiana Gorbach +1Structural Causal ModelsAlgorithmic Fairness

    Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, 901 87, Sweden. · Integrated Science Lab, Department of Physics, Ume˚a University, Ume˚a, 901 87, Sweden. · Department of Statistics, Ume˚a School of Business, Economics and Statistics, Ume˚a University, Ume˚a, 901 87, Sweden.

  17. Relaxed Sparsest-Permutation Formulation for Causal Discovery at Scale

    May 7, 2026Sunmin Oh, Sang-Yun Oh, Gunwoong ParkStructural Causal ModelsCausal Discovery

    Department of Statistics, Seoul National University, South Korea · Department of Statistics and Applied Probability, University of California Santa Barbara, CA, USA · Scientific Data Division, Lawrence Berkeley National Laboratory, CA, USA +2

  18. Counterfactual identifiability beyond global monotonicity: non-monotone triangular structural causal models

    May 6, 2026Pengcheng Tan, Jiang Chen, Dehui DuStructural Causal ModelsCausal Counterfactual Generation

    Shanghai Key Laboratory of Trustworthy Computing, East China Normal University

  19. Causal discovery under mean independence and linearity

    May 6, 2026Geert Mesters, Alvaro Ribot, Anna Seigal +1Structural Causal ModelsCausal Discovery

  20. NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise

    May 5, 2026Zhi Xu, Yun FuStructural Causal ModelsCausal Reasoning in Language Models

    Northeastern University

  21. ReplaySCM: A Benchmark for Executable Causal Mechanism Induction from Interventions

    May 5, 2026Serafim BatzoglouLLM EvaluationStructural Causal Models

  22. Partially Observed Structural Causal Models

    May 5, 2026Turan Orujlu, Jordan Matelsky, Martin V. Butz +2Structural Causal ModelsCausal Identifiability

    University of Tübingen · MPI for Biological Cybernetics · University of Pennsylvania +1

  23. The Design and Composition of Structural Causal Decision Processes

    May 4, 2026Sebastian Benthall, Alan LujanComputational Cognitive ModelingStructural Causal Models

    International Computer Science Institute, USA · New York University, USA · Johns Hopkins University, Krieger School of Arts and Sciences, USA

  24. The Causal Description Gap: Information-Theoretic Separations Across Pearl's Hierarchy

    May 4, 2026Seyed Morteza EmadiStructural Causal ModelsCausal Inference

    Kenan-Flagler Business School · University of North Carolina at Chapel Hill

  25. Stable Blanket with Hidden Variables and Cycles

    May 3, 2026Hanqing XiangStructural Causal ModelsCausal Intervention

    Department of Mathematics, KTH Royal Institute of Technology, Sweden · University of Copenhagen

  26. Grounding Multi-Hop Reasoning in Structural Causal Models via Group Relative Policy Optimization

    May 2, 2026Yunhan Bu, Quan Zhang, Huaping Zhang +9Structural Causal ModelsRL for Language Model Reasoning

    Beijing Institute of Technology, Beijing, China · School of Computer Science and Technology, Xinjiang University, Urumqi, China · Military Science Information Research Center, Academy of Military Science, Beijing, China

  27. Binary Spiking Neural Networks as Causal Models

    Apr 29, 2026Aditya Kar, Emiliano Lorini, Timothée MasquelierStructural Causal ModelsBinary Neural Networks

    CNRS, IRIT · Institut de Recherche en Informatique de Toulouse (IRIT), Centre de Recherche Cerveau et Cognition (CerCo), CNRS, France · Institut de Recherche en Informatique de Toulouse (IRIT), CNRS, France +2

  28. TabSCM: A practical Framework for Generating Realistic Tabular Data

    Apr 24, 2026Sven Jacob, Bardh Prenkaj, Weijia Shao +1Structural Causal ModelsCausal Counterfactual Generation

    Federal Institute for Occupational Safety and Health (BAuA), Dresden, Germany · School of Computation, Information and Technology, Technical University of Munich, Munich, Germany · Munich Center for Machine Learning (MCML)

  29. Efficient Symbolic Computations for Identifying Causal Effects

    Apr 22, 2026Benjamin Hollering, Pratik Misra, Nils SturmaStructural Causal ModelsSymbolic Reasoning

    Max Planck Institute for Mathematics in the Sciences, Germany · Binghamton University, USA · École Polytechnique Fédérale de Lausanne, Switzerland

  30. Multi-Task Anti-Causal Learning for Reconstructing Urban Events from Residents' Reports

    Mar 12, 2026Liangkai Zhou, Susu Xu, Shuqi Zhong +1Structural Causal ModelsMulti-Task Learning

    Stony Brook University Stony Brook, New York, United States · Johns Hopkins University Baltimore, Maryland, United States