Causal

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Period ending 2026-09-21

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  1. Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding

    Jun 24, 2026Baiyang Song, Yuli Lin, Qiong Wu +5Video UnderstandingVisual Tokens

  2. Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

    Jun 24, 2026Kaiwen Zheng, Guande He, Min Zhao +7Autoregressive Video DiffusionCausal Reasoning

  3. Difference-Making without Making a Difference

    Jun 23, 2026Sander BeckersCounterfactual ReasoningCausal Reasoning

  4. Explaining Failures of Cyber-Physical Systems with Actual Causality

    Jun 23, 2026Khen Elimelech, Tom Yaacov, David A. Kelly +2Cyber-Physical SystemCausal Reasoning

  5. RetiSEM: Generalising Causal Models for Fragmented Biomedical Data

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

  6. When Helpfulness Overrides Causal Caution: Context-Dependent Suppression and Recovery in LLMs

    Jun 23, 2026Hiroshi OkumuraCausal Reasoning

  7. An Introduction to Causal Reinforcement Learning

    Jun 23, 2026Elias Bareinboim, Junzhe Zhang, Sanghack LeeCausal InferencesCounterfactual Rollouts

  8. GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Series

    Jun 22, 2026Mohammad Fesanghary, Abhinav HavaldarCausal Foundation ModelsTemporal Dependence

  9. Causal Discovery in the Era of Agents

    Jun 22, 2026Yujia Zheng, Vishal Verma, Mantej Gill +3Causal Foundation ModelsLarge Language Model Reliability

  10. Against Proxy Optimization

    Jun 22, 2026Sven NethExpected UtilityPropensity

  11. 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

  12. Target-Aware Linear Regression Under Distribution Shift

    Jun 22, 2026Zhewen Hou, Tian ZhengEstimatorsCovariate Shift

  13. Statistical Matching via Schrödinger Bridge beyond Conditional Independence

    Jun 22, 2026Eunho Koo, Tongseok Lim, Jinwon SohnImputationSchrödinger Bridges

  14. Beyond Simpson's Paradox: A Cascade of Confounders in AI Agent Pull-Request Co-Authorship

    Jun 21, 2026Haoran Yu, Xiaochong Jiang, Lifei Liu +3CopilotArtificial Intelligence Agents

  15. Statistical Inference for Misspecified Contextual Bandits

    Jun 21, 2026Yongyi Guo, Ziping XuLinear Contextual BanditsStatistical Inference

  16. A Survey on Federated Causal Discovery and Inference

    Jun 21, 2026Xianjie Guo, Yuwei Wang, Guodu Xiang +4Causal Foundation ModelsFederated Learning

  17. Self-Evolving Cognitive Framework via Causal World Modeling for Embodied Scientific Intelligence

    Jun 21, 2026Yi Yu, Tetsunari InamuraIntelligenceWorld Models

  18. Words as Difference Makers: How Large Language Models Determine Causal Structure in Text

    Jun 21, 2026Wolfgang PietschCausal ReasoningVariational

  19. Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case

    Jun 20, 2026Hanna Myleiko, Sergei Solodky, Vasyl SemenovDomain AdaptationCovariate Shift

  20. Old Fictions, New Skins: Evaluating the Manipulative Capabilities of LLMs in Healthcare

    Jun 20, 2026Gathoni Ireri, Roger D. OdipoHealthcareTreatment

  21. Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis

    Jun 20, 2026Jeffery Opoku, David BanaheneConflictLatent Confounders

  22. FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

    Jun 20, 2026Kaijie Chen, Alex Johnson, Maria Garcia +2Federated LearningRegularization Techniques

  23. Local Causal Attribution of Chain-of-Thought Reasoning

    Jun 20, 2026Dennis Wei, Yannis Belkhiter, Erik Miehling +1Efficient Chain-Of-Thought ReasoningChain-of-Thought Reasoning

  24. Causal Gaussian Processes for Robust Treatment Effect Evaluation with Unobserved Confounding

    Jun 20, 2026Junzhe Zhang, Jingyuan Chen, Elias BareinboimCausal InferencesLatent Confounders

  25. Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images

    Jun 19, 2026Jingyuan Chen, Kangrui Ruan, Junzhe ZhangVariational AutoencoderLatent Confounders

  26. A Causal DAG Prior for Synthetic Time-Series Classification Datasets

    Jun 19, 2026Franco Martino O'Rourke, Ana Trisovic, Dimitris BertsimasTabular Prior-Data Fitted NetworkSynthetic Time Series

  27. A Framework for Directed Acyclic Hypergraph Learning

    Jun 19, 2026Zhiyuan Dong, Carlos Mundo-Levano, Wei Qian +2Directed Acyclic GraphHypergraphs

  28. Monitoring Diameters of Causal Communication Graph with Spatio-Temporal Logic

    Jun 19, 2026Lydia Bakiri, Jérémy Dubut, Sergio MoverLinear Temporal LogicsReachability

  29. Does RoPE Prevent or Degrade Retrieval Heads? A Mechanistic Analysis Across Model Families

    Jun 19, 2026Cengizhan BayramRotary Position EmbeddingMulti-Head Self-Attention

  30. DCD-PFN: A Decoupling-Aware Foundation Model for Causal Discovery

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Foundation ModelsCausal Graph

  31. Two Layers of Instability in Causal Estimation

    Jun 19, 2026Alexis BellotCausal InferencesEstimators

  32. A Validation-Gated Mechanistic Account of Suicidality Detection in LLMs

    Jun 19, 2026Nafiz Ahmed, Sarah Sharif, Dingjing Shi +1Suicide RiskCausal Reasoning

  33. Closure of Self-Determining System Based on Causal and Constitutive Relations

    Jun 19, 2026Yoshiyuki Ohmura, Earnest Kota Carr, Yasuo KuniyoshiSelf-OrganizationCausal Reasoning

  34. PROTON: Prototype-Based Test-Time Online OOD Detection for Medical VLMs

    Jun 18, 2026Abhijit Das, Nichula Wasalathilaka, Yifan Lu +4Out-Of-Distribution DetectionMedical Vision-Language Models

  35. Root Cause Analysis with Latent Confounders using Partial Ancestral Graphs

    Jun 18, 2026Henrique O. Caetano, Rafael Arone, Carlos Dias MacielRoot Cause AnalysisLatent Confounders

  36. Temporal Causal Prior-Data Fitted Networks for Panel Data with Learned Reliability Signals

    Jun 18, 2026Shravan Talupula, Saurabh SharmaCausal Foundation ModelsTabular Prior-Data Fitted Network

  37. CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks

    Jun 17, 2026Francisco Caldas, Sahil Satish Kumar, Ruben Belo +1Explainable Artificial IntelligenceCausal Graph

  38. Latent Confounded Causal Discovery via Lie Bracket Geometry

    Jun 17, 2026Sridhar MahadevanCausal Foundation ModelsCausal Reasoning

  39. Unsupervised Causal Abstractions Discovery

    Jun 17, 2026Théo Saulus, Simon Lacoste-Julien, Dhanya SridharCausal Foundation ModelsCausal Reasoning

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

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

  41. Wasserstein Policy Learning for Distributional Outcomes

    Jun 17, 2026Yiyan Huang, Cheuk Hang Leung, Qi Wu +1Wasserstein DistanceCausal Inferences

  42. JustDiag!: A Diagnostic Justification Engine for Accountable Root Cause Analysis

    Jun 17, 2026Tingzhu Bi, Xinrui Jiang, Xun Zhang +5Root Cause AnalysisIncident Response

  43. Estimating the Effect of Timing on Coupon Effectiveness

    Jun 17, 2026Deddy JobsonFunnel EfficiencyCausal Inferences

  44. Sequential Kernel-based Conditional Independence Testing via Adaptive Betting

    Jun 17, 2026Zheng He, Danica J. SutherlandConditional IndependenceTwo-Sample Testing

  45. Identifying Structural Biases from Causal Mechanism Shifts

    Jun 17, 2026Praharsh Nanavati, Jilles Vreeken, David KaltenpothCausal Foundation ModelsLatent Confounders

  46. Ensuring Trustworthy Online A/B Testing: Addressing Five Key Questions on CUPED

    Jun 17, 2026Yu Zhang, Bokui Wan, Yongli Qin +2Heterogeneous Treatment Effects

  47. Shrinkage priors for Bayesian Substitute Confounders

    Jun 16, 2026Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1Latent ConfoundersPrior Knowledge

  48. Beyond AHI: An Interpretable Causal-Discovery-Guided Framework for Sleep Recovery in Connected Health

    Jun 16, 2026Saba A. Farahani, Elahe Khatibi, Manoj Vishwanath +2Physiological DataRespiratory Sound Classification

  49. What Does the Weight Norm Control in Grokking? Logit-Scale Mediation under Cross-Entropy

    Jun 16, 2026Truong Xuan KhanhGrokkingBatch Normalization

  50. JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting

    Jun 16, 2026Lanxiang Hu, Zhaoxiang Feng, Yulun Wu +9Speculative DecodingLLM Inference Efficiency

  51. Tensor-based second-order causal discovery

    Jun 16, 2026Nathan Ouyang, Kexin Wang, Anna SeigalCausal Foundation ModelsCovariance Estimation

  52. Fast Nonparametric Conditional Independence Testing via Two-Stage Regression

    Jun 16, 2026Eric V. StroblConditional IndependenceCausal Foundation Models

  53. Toward Accessible Psychotherapy Training Using AI-Driven Interactive Patient Avatars

    Jun 16, 2026Pascal Riachi, Sofie Kamber, Stella Brogna +2Simulated PatientsCognitive Behavioral Therapy

  54. SpatioTemporal Causal Network Diagnostics for Geographic Tipping Point Early Warning

    Jun 16, 2026Zhaoyuan Yu, Zhangyong LiangEarly WarningCausal Graph

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

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

  56. MODE-RAG: Manifold Outlier Diagnosis and Energy-based Retrieval-Augmented Generation Evaluation

    Jun 16, 2026Zehang Wei, Jiaxin Dai, Jiamin Yan +1Multi-Source Retrieval-Augmented GenerationLarge Language Model Hallucination

  57. Treatment Response Optimized Clinical Decision Support AI System via Digital Twin Simulation

    Jun 16, 2026Xinyu Qin, Anil K. Sood, Ruiheng Yu +3Digital Twin FrameworkClinical Decision Support

  58. From Tokens to Policy: Causal and Interpretable Heterogeneous Treatment Effects Identification

    Jun 15, 2026Riccardo Cadei, Frank Otchere, Nyasha Tirivayi +3Heterogeneous Treatment EffectsIdentifiability

  59. Dynestyx: A Probabilistic Programming Library for Dynamical Systems

    Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4BayesianState Space Models

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

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