Structural Causal Model

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Causal ReasoningCovariate ShiftCausal Foundation ModelsCausal InferencesCausal GraphHeterogeneous Treatment EffectsLatent ConfoundersTreatment

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Period ending 2026-09-21

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A weekly snapshot of new work published in Structural Causal Model.

Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Structural Causal Model.

Period ending 2026-09-07

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70 papers

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  1. Causal Discovery via Transformed Low-Rank Quantile Surfaces

    Sep 15, 2026Ryo Kamimura, Thong PhamQuantile RegressionStructural Causal Model

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

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

  3. A Computationally Feasible Framework for Causal Probabilistic Explanation

    Sep 3, 2026Rafal Urbaniak, Sam Witty, Daniel Waxman +7Structural Causal ModelCausal Reasoning

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

    Sep 1, 2026Qing Zhao, Haowei Li, Weijian Deng +2Scientific DiscoveryScientific Agents

  5. General Probabilities of Causation with Causal Knowledge

    Aug 12, 2026Xin Shu, Zhen Lei, Ang LiStructural Causal ModelCausal Reasoning

  6. 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 +5Structural Causal ModelPatient Trajectories

  7. Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models

    Aug 10, 2026Kevin MurphyHypothesis GenerationStructural Causal Model

  8. Deep probabilistic logic programming for diagnostic reasoning from incomplete information: A case study in stroke detection

    Aug 9, 2026Felix Weitkämper, Monchito Avila, Elizabeth Nanjala +2Inductive Logic ProgrammingProbabilistic Inference

  9. Implementing Causal Perception: Competing SCMs and Situated Fairness

    Aug 4, 2026Jose M. ÁlvarezStructural Causal ModelCausal Reasoning

  10. Computing Actual Causes for Neural Network Predictions under Structured Causal Inputs

    Aug 4, 2026Jannick Strobel, Muqsit Azeem, Stefan LeueStructural Causal ModelExplainability

  11. Robust Counterfactual Policy Optimisation via Nondeterministic Causal Models

    Aug 3, 2026Jessica Lally, Milad Kazemi, Nicola Paoletti +2Counterfactual RolloutsCounterfactual Reasoning

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

    Jul 30, 2026Gerrit Großmann, David A. Selby, Sebastian J. VollmerStructural Causal ModelNeural Operators

  13. Property-driven Causal Abstractions for Markov Decision Processes

    Jul 29, 2026Jule Schmidt, Maximilian Weininger, Clemens Dubslaff +2Markov Decision ProcessesStructural Causal Model

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

    Jul 24, 2026Sergei V. KalininStructural Causal ModelCausal Reasoning

  15. Equilibrium Causal Games: Separation, Identification, and the Identifiability of Cyclic Latent States

    Jul 21, 2026Faraz Dadgostari, Neda NazemiStructural Causal ModelCausal Reasoning

  16. A cubical formalisation of topos causal models: intervention, forcing, and a contextuality obstruction

    Jul 17, 2026Karen SargsyanStructural Causal ModelAxiom

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

    Jul 13, 2026Yikang Chen, Zhengkang Guan, Haoyuan Qian +3Causal Foundation ModelsStructural Causal Model

  18. Deep Gaussian Processes on Directed Acyclic Graphs

    Jul 10, 2026Federico L. Perlino, Oliver Hamelijnck, Adam M. Johansen +1Directed Acyclic GraphGaussian Process

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

    Jul 9, 2026Andrej Leban, Yuekai SunStructural Causal ModelCausal Reasoning

  20. Geometric Causal Models

    Jul 6, 2026Eli N. Weinstein, David M. BleiStructural Causal ModelCausal Inferences

  21. MDL Meets Latent Confounders: LNML-based Causal Discovery

    Jul 5, 2026Zhongyi Que, Shin Matsushima, Kenji YamanishiCausal Foundation ModelsLatent Confounders

  22. Personalized Causal Recourse: A Human-In-The-Loop Approach

    Jul 3, 2026Denise Tampieri, Giovanni De Toni, Paolo GiudiciStructural Causal ModelHuman-In-The-Loop

  23. A causal modeling perspective on decision theory

    Jun 29, 2026Arvid SjölanderStructural Causal ModelDecisions

  24. Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models

    Jun 28, 2026Nick Oh, Helen JinExplanation FaithfulnessPost-Hoc

  25. RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

    Jun 23, 2026Inam Ullah, Imran Razzak, Shoaib JameelStructural Causal ModelStructural Equation Models

  26. One Ruler: A Same-Hands Re-Evaluation of Bivariate Causal Direction on Tuebingen, with a Parameter-Free Compression Baseline

    Jun 22, 2026Wietse StienstraComparisonStructural Causal Model

  27. The Representational Limit of Scalar Interactions: An Interventional Decomposition

    Jun 17, 2026Potito Aghilar, Sabino Roccotelli, Stanislao Fidanza +3Higher-Order CorrelationsShapley Value

  28. FoundCause: Causal Discovery with Latent Confounders from Observational Data

    Jun 16, 2026Patrick Blöbaum, Krishnakumar Balasubramanian, Shiva Prasad KasiviswanathanCausal Foundation ModelsStructural Causal Model

  29. A Causal Model of Theory of Mind in Conflict for Artificial Intelligence

    Jun 15, 2026Nikolos GurneyTheory-Of-Mind ReasoningSocial Reasoning

  30. Can Causal Models Enhance Robot Navigation? Online Causal Adaptation for Real-Robot Navigation

    Jun 14, 2026Zhitao Liang, Alex Mitrevski, Emmanuel Dean +1Social Robot NavigationStructural Causal Model

  31. Relational Structural Causal Models

    Jun 12, 2026Adiba Ejaz, Elias BareinboimStructural Causal ModelCausal Graph

  32. Causal Object-Centric Models for Planning with Monte Carlo Tree Search

    Jun 12, 2026Rodion Vakhitov, Leonid Ugadiarov, Alexey Skrynnik +1Monte Carlo Tree SearchObject-Centric Learning

  33. Observable Patterns Are Not Explanations: A Causal-Geometric Analysis of Latent Reasoning Models

    Jun 10, 2026Darpan Aswal, Thomas Palmeira Ferraz, Yongxin Zhou +1Efficient Latent ReasoningLatent Thoughts

  34. WorldKernel: A World Model is the Coupling Kernel of Admissible Possible Worlds

    Jun 9, 2026Fabio RovaiStructural Causal ModelCounterfactual Reasoning

  35. Causal Agent Replay: Counterfactual Attribution for LLM-Agent Failures

    Jun 6, 2026Jaineet ShahLarge Language Model AgentsCounterfactual Reasoning

  36. CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning

    Jun 6, 2026Yongqi Jiang, Yansong Gao, Siguang Chen +1Privacy-Preserving FrameworkCausal Representation Learning

  37. A Causal Probabilistic Framework for Perception-Informed Closed-Loop Simulation of Autonomous Driving

    Jun 5, 2026Zhennan Fei, Rickard Johansson, Mikael Andersson +12Autonomous Driving PerceptionAutonomous Driving

  38. Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models

    Jun 3, 2026Dario Rancati, Max Welling, Francesco LocatelloStructural Causal ModelStatistical Mechanics

  39. Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers

    Jun 3, 2026Edward Y. ChangStructural Causal ModelCausal Reasoning

  40. Privacy-Robust Incrementality Measurement for Advertising Systems under Signal Loss

    Jun 2, 2026Prashant Shekhar, Caroline HowardAdsAI Privacy Risks and Protection

  41. Extending Causal Metamodeling to a non-Markovian Queue

    May 30, 2026Pracheta Amaranath, Anant Bhide, David Jensen +1Stochastic DelaysBayesian Networks

  42. Evaluating Bivariate Causal Statements Based on Mutual Compatibility

    May 29, 2026Erik Jahn, Dominik JanzingStructural Causal Model

  43. Formalizing and falsifying causal pathways of rare events

    May 29, 2026Anahita Haghighat, Dominik JanzingStructural Causal ModelCausal Reasoning

  44. The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

    May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Tabular LearningClinical Prediction

  45. ORCA: An End-to-End Interactive Copilot for Optimized Root Cause Analysis

    May 26, 2026Phi Nguyen Xuan, Nicholas Tagliapietra, Lavdim Halilaj +2Causal Foundation ModelsRoot Cause Analysis

  46. From Circuit Evidence to Mechanistic Theory: An Inductive Logic Approach

    May 20, 2026Nura Aljaafari, Danilo S. Carvalho, Andre FreitasMechanistic InterpretabilityCircuits

  47. CASPIAN: Online Detection and Attribution of Cascade Attacks in LLM Multi-Agent Systems via Cross-Channel Causal Monitoring

    May 19, 2026Kavana Venkatesh, Jafar Isbarov, Saad Amin +2Multi-Agent SystemsAdversaries

  48. Prediction-Intervention Games and Invariant Sets

    May 16, 2026Linus Kühne, Felix Schur, Jonas PetersStructural Causal Model

  49. Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling

    May 13, 2026Seokha Moon, Minseung Lee, Joon Seo +2Autonomous DrivingTrajectory Prediction

  50. Causal Learning with the Invariance Principle

    May 13, 2026Francesco Montagna, Francesco LocatelloStructural Causal ModelCausal Graph

  51. Coarsening Linear Non-Gaussian Causal Models with Cycles

    May 11, 2026Francisco Madaleno, Francisco C Pereira, Alex MarkhamCausal Representation LearningStructural Causal Model

  52. Causal Parametric Drift Simulation: A Digital Twin Framework for Classifier Robustness Evaluation

    May 10, 2026Julien Lafrance, Richard Khoury, Véronique TremblayStructural Causal ModelFault Injection Experiments

  53. Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure

    May 9, 2026Nilesh Sarkar, Dawar Jyoti DekaSparse Autoencoder FeaturesTransformer Architectures

  54. SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model

    May 8, 2026Shiyue Cao, Pei Xu, Likun Yang +3Multi-Agent SystemsLlm-Based Agent

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

    May 7, 2026Ana Leticia Garcez Vicente, Gijs van Seeventer, Saber SalehkaleybarStructural Causal ModelConditional Independence

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

    May 6, 2026Pengcheng Tan, Jiang Chen, Dehui DuStructural Causal ModelCounterfactual Reasoning

  57. Partially Observed Structural Causal Models

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

  58. The Design and Composition of Structural Causal Decision Processes

    May 4, 2026Sebastian Benthall, Alan LujanStructural Causal ModelAgent Decisions

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

    May 4, 2026Seyed Morteza EmadiStructural Causal ModelCausal Reasoning

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

    May 2, 2026Yunhan Bu, Quan Zhang, Huaping Zhang +9Multi-Hop ReasoningStructural Causal Model