Causal

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Period ending 2026-09-21

29 new papers

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Period ending 2026-09-07

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

    Jul 17, 2026Karen SargsyanStructural Causal ModelAxiom

  2. Retraining Seeks Stable Signals

    Jul 17, 2026Moritz HardtRetrainingFeedback Loop

  3. Evaluating covariate balance for long time horizon Markov decision processes

    Jul 16, 2026Joshua Spear, Rebecca Pope, Neil J SebireCovariate ShiftOffline Reinforcement Learning

  4. Causal Inference for Sequential Settings under Interference and Latent Confounding

    Jul 16, 2026Phevos Paschalidis, Constantinos Daskalakis, Devavrat ShahCausal InferencesLatent Confounders

  5. Interventional Causal Circuits for Safe Robot Action Testing and Failure Recovery

    Jul 16, 2026Naren Vasantakumaar, Tom Schierenbeck, Michael BeetzExecutable Robot BehaviorRobot Systems

  6. WorkDrive: Roadwork Chain of Causation for Autonomous Driving

    Jul 16, 2026Tianyi Jiang, Wen Zhang, Sihan Yang +2Autonomous DrivingAutonomous Hard Drive Disassembly

  7. Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

    Jul 16, 2026Yipei Wang, Shiqi Huang, Wen Yan +6Covariate Shift

  8. Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI Coordination

    Jul 16, 2026Remo PareschiHuman-Ai CollaborationAbductive Reasoning

  9. Accelerating A/B-Tests with Counterfactual Estimation: Reducing Variance through Policy Overlap

    Jul 16, 2026Olivier JeunenVariance ReductionOff-Policy Evaluation

  10. Global drivers and barriers to the public acceptance of autonomous vehicles: Evidence from 17 countries

    Jul 16, 2026Antonios SaravanosAcceptanceAutonomous Driving

  11. CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment

    Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal GraphCounterfactual Explanation

  12. Learning Who to Treat When Treatment is Missing

    Jul 15, 2026Johnna Sundberg, Rayid Ghani, Eli Ben-Michael +1Heterogeneous Treatment EffectsMissing Data

  13. Multimodal Empirical Bayes Variational Autoencoders for Joint Longitudinal and Time-to-Event Modeling

    Jul 15, 2026Anders Sjöberg, Nils Olsson, Marcus Baaz +1Time-To-Event DataVariational Autoencoder

  14. Verifying formulas for interventional distributions

    Jul 15, 2026Francesco Freni, Leonard Henckel, Sebastian WeichwaldCausal GraphIdentifiability

  15. AI-Augmented Adaptive Digital Twin Modeling for Brain Tumor Evolution Prediction and Treatment Scheduling

    Jul 15, 2026Wenxi Liu, Michael Trimboli, Xianqi LiCognitive Digital TwinsBrain Tumor Classification

  16. Analogical Deep Research: Retrieving and Integrating Historical Analogies for Foresight Analysis

    Jul 15, 2026Yongqiang Chen, Guangyi Chen, Yuewen Sun +1AnalogyAgentic Reasoning

  17. How Far Can Root Cause Analysis Go on Real-World Telemetry Data?

    Jul 15, 2026Athira Gopal, Ashwanth KrishnanRoot Cause AnalysisMicroservices

  18. CDS: Counterfactual Directionality Score for Structured Interventions in Spatial Graphs

    Jul 15, 2026Humaira Anzum, Md Ishtyaq Mahmud, Jagan Mohan Reddy Dwarampudi +1Causal GraphEfficient Influence Function

  19. PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference

    Jul 15, 2026Xutao Wang, Hanting Chen, Tianyu Guo +1Positive--Unlabeled LearningPropensity

  20. Resist and Update: Counterfactual Report Coordinates for Incentive-Compatible LLMs

    Jul 14, 2026Sen Yang, Yuen-Hei YeungCounterfactual ReasoningIncentives

  21. Low-Latency Neural Models for Real-Time Music Enhancement

    Jul 14, 2026Emmanouil Karystinaios, Jonathan Greif, David Nadrchal +2Speech EnhancementMusic Editing

  22. ANGLE: Angular Neural Generative Learning via Engression

    Jul 14, 2026Rajdeep Pathak, Archi Roy, Tanujit ChakrabortyNonparametricUrban Wind

  23. Solution of the Hempel's statistical ambiguity problem and Causal AI

    Jul 14, 2026Evgenii VityaevCausal ReasoningProbabilistic Inference

  24. AdaPCLA: Adaptive Prior-Calibrated Logit Adjustment for Long-Tailed Longitudinal EHR Generation

    Jul 14, 2026Shuai Cui, Chen Wenxuan, Wenjie Du +3Electronic Health RecordsCovariate Shift

  25. Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequences

    Jul 14, 2026Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8Cognitive MapCausal Graph

  26. Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification

    Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Multiple Instance LearningComputational Pathology

  27. Partial Identification with Multiple Nonlinear Measurements of a Latent Regressor

    Jul 13, 2026Burhan Ogut, Michelle YinStructural Equation ModelsLatent Variable

  28. Falsifying Causal Graphs With Outlier Events

    Jul 13, 2026William Roy Orchard, Philipp M. Faller, Dominik JanzingCausal GraphOutliers

  29. Relaxing Faithfulness with Intervention-Only Causal Discovery

    Jul 13, 2026Bijan Mazaheri, Jiaqi Zhang, Caroline UhlerCausal Foundation ModelsConditional Independence

  30. 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

  31. CDFM: Towards a General-Purpose Causal Discovery Foundation Model

    Jul 13, 2026Jie Qiao, Ruichu Cai, Zijian Li +6Causal Foundation ModelsVariational

  32. StructAgent: Harness Long-horizon Digital Agents with Unified Causal Structure

    Jul 13, 2026Wenyi Wu, Sibo Zhu, Kun Zhou +3Agent FrameworkWorkflow Automation and Optimization

  33. Inter-Stop Energy Prediction and Causal Driver Quantification for Dual-Source Trolleybuses via a Time-Aware Tabular Deep Learning Architecture

    Jul 13, 2026Wentao Zeng, Zijian Huang, Yiming Bie +2Electricity Price ForecastingTransit Network Design

  34. SPARC-Net: A Spectral, Causality-Aware, and Hard-Constrained Physics-Informed Architecture for Stiff and Shock-Dominated Partial Differential Equations

    Jul 13, 2026Divyavardhan Singh, Dimple Sonone, Hammad Mohammad +1Partial Differential Equation BenchmarksPartial Differential Equations

  35. When the Reward Suite Is Leaky: A Preregistered Causal Contrast of Natural Verifier False Positives in RLVR

    Jul 13, 2026Chuyifei ZhangFalse Positive RateReinforcement Learning With Verifiable Reward

  36. The Spectral Structure of Latent Treatment Effects

    Jul 12, 2026Hamza Virk, Bijan Mazaheri, Yihren WuHeterogeneous Treatment EffectsLatent Confounders

  37. Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity

    Jul 12, 2026Roberto Faleh, Sofia Morelli, Holger BrandtCausal Mediation AnalysisHeterogeneous Treatment Effects

  38. Integrating Background Knowledge for Scalable Causal Discovery

    Jul 11, 2026Mátyás Schubert, Theofanis Aslanidis, Tom Claassen +1Causal Foundation ModelsCausal Graph

  39. Two Confounds in Cross-Model Value Comparison: Response Determinism and the Access Harness

    Jul 11, 2026Hong-In Won, Jinseok Jang, Hyoseop KimValueDeterministic

  40. Deep Gaussian Processes on Directed Acyclic Graphs

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

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

    Jul 10, 2026Debargha Ghosh, Silja Renooij, Anna V. KononovaCausal Foundation ModelsLatent Confounders

  42. Spectrally Deconfounded Gradient Boosting

    Jul 10, 2026Andrea Nava, Peter Bühlmann, Fabio SigristGradient Boosted TreeLatent Confounders

  43. DKCD: Domain Knowledge-Enhanced Causal Discovery from Unstructured Data

    Jul 10, 2026Xin Li, Jin Li, Shoujin Wang +2Causal Foundation ModelsCausal Graph

  44. Towards Precision Therapy in Hepatocellular Carcinoma: A Clinical-Reasoning LLM for Risk Stratification and Treatment Guidance

    Jul 9, 2026Peng Cui, Jitao Wang, Siyan Xue +41CholangiocarcinomaClinical Reasoning

  45. CAAD: Causality-Aware Multivariate Time Series Anomaly Detection via Multi-Scale Alignment and Structural Causal Consistency

    Jul 9, 2026Xin Wang, Yunshi Wen, Yanan He +4Time-Series Anomaly DetectionAnomaly Detection

  46. Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability

    Jul 9, 2026Amir AsiaeeModel InterpretabilityMechanistic Interpretability

  47. CASL-VAE: Learning Structured Latent Variables from Unpaired Data for Semi-supervised Clustering and Paired Sample Generation

    Jul 9, 2026Sai Spandana Chintapalli, Pratik Chaudhari, Christos DavatzikosVariational AutoencoderLatent Variable

  48. Workload-Preserving Differentially Private Synthetic Data for Causal Inference via Maximum-Entropy Calibration

    Jul 9, 2026Amir Asiaee, Kaveh AryanCausal InferencesSynthetic Data

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

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

  50. 3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse

    Jul 8, 2026Shyam Agarwal, Courtney Miller, Christian Kästner +1Code QualityArtificial Intelligence Reviewers

  51. Entanglement as a Structural Complexity Axis: A PAC-Bayesian View of Generalization in Quantum Policies and Value Functions

    Jul 7, 2026Jian Xu, Delu Zeng, John Paisley +1EntanglementEntropy-Regularized Equilibrium Selection

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

    Jul 7, 2026Ming Cai, Hisayuki HaraLatent ConfoundersDirected Acyclic Graph

  53. Heckman-Corrected Epistemic Uncertainty: Selection on Unobservables Defeats Importance Weighting

    Jul 7, 2026Gunner Levi HoweSelection BiasCovariate Shift

  54. Controlling Tool Use with Heading-Specific Activation Steering

    Jul 7, 2026Yuqi Chen, Vincent Siu, Yang Liu +2Fewer Tool-Call ErrorsTool Invocation

  55. From Graphs to Gradients: Physics-Inspired Structural Attribution for Cyber-Physical IoT Systems and Beyond

    Jul 6, 2026Spyridon Evangelatos, Christos Diou, Georgios Th. Papadopoulos +2Cyber-Physical SystemCausal Reasoning

  56. CanniUplift: A Holistic Framework for Mitigating Seller and Incentive Cannibalization in E-commerce Uplift Modeling

    Jul 6, 2026Zuwang He, Shihao Shu, Yuli Qu +8IncentivesHeterogeneous Treatment Effects

  57. Geometric Causal Models

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

  58. Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

    Jul 6, 2026Yuankang Zhao, Youngsoo Baek, Felipe A. Medeiros +2Logistic RegressionModality-Specific Encoders

  59. Wrong Before Right: Late Rescue and Interface Failure in Aligned Language Models

    Jul 6, 2026Jiaqi DengModel ActivationsWrong

  60. Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations

    Jul 6, 2026Dongmin Bang, Sugyun An, Inyoung Sung +3Spatial TranscriptomicsBiomedical Knowledge Graph