Causal

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Period ending 2026-09-21

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  1. Time, Causality, and Observability Failures in Distributed AI Inference Systems

    Apr 23, 2026Ankur Sharma, Deep Shah, David Lariviere +1Online InferenceClocks

  2. Propensity Inference: Environmental Contributors to LLM Behaviour

    Apr 22, 2026Olli Järviniemi, Oliver Makins, Jacob Merizian +2Behavioral AlignmentLarge Language Model Decision-Making

  3. Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning

    Apr 22, 2026Dario Simionato, Andrea Tonon, Mingxue Wang +3Heterogeneous Treatment EffectsChurn Prediction

  4. Efficient Symbolic Computations for Identifying Causal Effects

    Apr 22, 2026Benjamin Hollering, Pratik Misra, Nils SturmaIdentifiabilityCausal Inferences

  5. Dual Causal Inference: Integrating Backdoor Adjustment and Instrumental Variable Learning for Medical VQA

    Apr 22, 2026Zibo Xu, Qiang Li, Ke Lu +3Medical Visual Question AnsweringMultimodal Clinical Data

  6. Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders

    Apr 22, 2026Xin Sun, Yue Su, Yifan Mo +9Mental Health SupportTrustworthy Artificial Intelligence

  7. Emotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment

    Apr 21, 2026Tianxiang Ma, Weijie Feng, Xinyu Wang +1Geo-Contextual AlignmentCausal Reasoning

  8. Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning

    Apr 21, 2026Xiangmeng Wang, Qian Li, Haiyang Xia +3Text-Attributed GraphSubgraphs

  9. Age-Dependent Heterogeneity in the Association Between Physical Activity and Mental Distress: A Causal Machine Learning Analysis of 3.2 Million U.S. Adults

    Apr 21, 2026Yuan ShanMental HealthPhysical Activities

  10. Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs

    Apr 20, 2026Yuefei Chen, Yihao Quan, Xiaodong Lin +1Large Language Model HallucinationHallucination Rate

  11. Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

    Apr 20, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeCausal Foundation ModelsInterpretable Models

  12. Benchmarking System Dynamics AI Assistants: Cloud Versus Local LLMs on CLD Extraction and Discussion

    Apr 20, 2026Terry LeitchArtificial Intelligence ModelsCloud

  13. Learning Invariant Modality Representation for Robust Multimodal Learning from a Causal Inference Perspective

    Apr 20, 2026Sijie Mai, Shiqin HanRobust Multimodal LearningCausal Representation Learning

  14. Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection

    Apr 20, 2026Pooyan Khosravinia, João Gama, Bruno VelosoTime-Series Anomaly DetectionAnomaly Detection

  15. Physics-Informed Causal MDPs for Sequential Constraint Repair in Engineering Simulation Pipelines

    Apr 20, 2026Chuhan QiaoStructural Causal ModelMarkov Decision Processes

  16. Implicit Causal Graph Construction in Text via Chain Discovery

    Apr 20, 2026Liesbeth Allein, Marie-Francine MoensCausal GraphCausal Reasoning

  17. Causal-Temporal Event Graphs: A Formal Model for Recursive Agent Execution Traces

    Apr 19, 2026Simon FoldvikCausal GraphAgent Execution

  18. Covariance-Based Structural Equation Modeling in Small-Sample Settings with p>np>n

    Apr 18, 2026Hiroki Hasegawa, Aoba Tamura, Yukihiko OkadaStructural Equation ModelsCovariance Estimation

  19. LLM-Extracted Covariates for Clinical Causal Inference: Rethinking Integration Strategies

    Apr 18, 2026Lei Liu, Jialin Chen, Kathy MacropolCausal InferencesMimic-Iv Datasets

  20. Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization

    Apr 17, 2026Chih-Hsuan Wei, Chi-Ping Day, Zhizheng Wang +8Biomedical Knowledge GraphDrug Discovery

  21. Robustifying and Selecting Cohort-Appropriate Prognostic Models under Distributional Shifts

    Apr 16, 2026Dimitris Bertsimas, Carol Gao, Angelos G. Koulouras +1PrognosticsCovariate Shift

  22. How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study

    Apr 16, 2026Zhen Yang, Ping Jian, Zhongbin Guo +5Vision-LanguageModel Interpretability

  23. ClimateCause: Complex and Implicit Causal Structures in Climate Reports

    Apr 16, 2026Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1Causal GraphCausal Reasoning

  24. CAMO: An Agentic Framework for Automated Causal Discovery from Micro Behaviors to Macro Emergence in LLM Agent Simulations

    Apr 16, 2026Xiangning Yu, Yuwei Guo, Yuqi Hou +2Multi-Agent SimulationsUser Simulation

  25. CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification

    Apr 16, 2026Yian Wang, Yuen Chen, Agam Goyal +1DetoxificationToxicity

  26. Generative Augmented Inference

    Apr 16, 2026Cheng Lu, Mengxin Wang, Dennis J. Zhang +1Generative Artificial IntelligenceOnline Inference

  27. Zero-shot World Models Are Developmentally Efficient Learners

    Apr 11, 2026Khai Loong Aw, Klemen Kotar, Wanhee Lee +6IntelligenceCognitive Science

  28. MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

    Mar 26, 2026Ranxu Zhang, Junjie Meng, Ying Sun +5Multimodal RecommendationStructural Causal Model

  29. Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs

    Mar 21, 2026Huan Zheng, Yucheng Zhou, Tianyi Yan +6Video Capsule EndoscopyMultimodal Clinical Data

  30. Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment

    Mar 19, 2026Amir Asiaee, Samhita PalHeterogeneous Treatment EffectsCovariate Shift

  31. T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World

    Mar 19, 2026Aditi Naiknaware, Salimeh SekehVision-Language Model AdaptationOut-Of-Distribution Detection

  32. Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing

    Mar 17, 2026Saksham Jain, Alex LuedtkeHeterogeneous Treatment Effects

  33. Competition-Aware CPC Forecasting with Near-Market Coverage

    Mar 13, 2026Sebastian Frey, Edoardo Beccari, Maximilian Kranz +4Click-Through Rate PredictionCovariate Shift

  34. Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure

    Mar 10, 2026Davide Tugnoli, Andrea De Lorenzo, Marco Virgolin +1Synthetic Tabular DataTabular Prior-Data Fitted Network

  35. Sign Identifiability of Causal Effects in Stationary Stochastic Dynamical Systems

    Mar 9, 2026Gijs van Seeventer, Saber SalehkaleybarIdentifiabilityStructural Causal Model

  36. Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions

    Mar 2, 2026Amir Asiaee, Kavey Aryan, James P. LongCausal InferencesConformal Inference

  37. Multiplicative Oracle Inequalities for Transductive Learning via Level-Set Aggregation

    Mar 2, 2026Jian Qian, Jiachen XuTransductive Active LabelingEmpirical Risk Minimization

  38. Teacher-Guided Causal Interventions for Image Denoising: Orthogonal Content-Noise Disentanglement in Vision Transformers

    Mar 1, 2026Kuai Jiang, Zhaoyan Ding, Guijuan Zhang +2Image DenoisingSelf-Supervised Vision Transformers

  39. Robust Weighted Triangulation of Causal Effects Under Model Uncertainty

    Mar 1, 2026Rohit Bhattacharya, Ina Ocelli, Ted WestlingCausal InferencesSemiparametric Framework

  40. Fairness under Graph Uncertainty: Achieving Interventional Fairness with Partially Known Causal Graphs over Clusters of Variables

    Feb 27, 2026Yoichi ChikaharaFairness InterventionsCausal Graph

  41. CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching

    Feb 23, 2026Yuzhe Wang, Yaochen Zhu, Jundong LiLarge Language Model ReasoningCausal Reasoning

  42. Use What You Know: Causal Foundation Models with Partial Graphs

    Feb 16, 2026Arik Reuter, Anish Dhir, Cristiana Diaconu +6Causal Foundation ModelsCausal Graph

  43. Jointly Optimizing Debiased CTR and Uplift for Coupons Marketing: A Unified Causal Framework

    Feb 13, 2026Siyun Yang, Shixiao Yang, Jian Wang +6Click-Through Rate PredictionTreatment Effect

  44. CauScale: Neural Causal Discovery at Scale

    Feb 9, 2026Bo Peng, Sirui Chen, Jiaguo Tian +2Causal Foundation ModelsCausal Reasoning

  45. CausalRAG2: Hierarchical Causal Knowledge Graph Design for RAG

    Feb 4, 2026Nengbo Wang, Tuo Liang, Vikash Singh +6Graph-Based Retrieval Augmented GenerationKnowledge Graphs

  46. Self-Supervised Learning from Structural Invariance

    Feb 2, 2026Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee +3Self-SupervisedPhotometric Supervision

  47. Spectral Imbalance Causes Forgetting in Low-Rank Continual Adaptation

    Jan 31, 2026Hao Gu, Mao-Lin Luo, Zi-Hao Zhou +3Efficient Continual LearningLow-Rank Adaptation

  48. TRACE: Trajectory Recovery for Continuous Mechanism Evolution in Causal Representation Learning

    Jan 29, 2026Shicheng Fan, Kun Zhang, Lu ChengCausal Representation LearningInteraction Trajectories

  49. Falsifying Discriminant Validity of Predictive Algorithms

    Jan 23, 2026Amanda CostonFalsehoodValidity

  50. Factorizable joint shift revisited

    Jan 21, 2026Dirk TascheDistribution ShiftsCandidate Label Distributions

  51. Value-Action Alignment in Large Language Models under Privacy-Prosocial Conflict

    Jan 7, 2026Guanyu Chen, Chenxiao Yu, Xiyang HuLarge Language Model AlignmentAI Privacy Risks and Protection

  52. CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space

    Dec 8, 2025Tianxingjian Ding, Yuanhao Zou, Chen Chen +2TreatmentLatent Space

  53. Auditable Context-Aware HFMD Forecasting with Structured LLM Agents

    Nov 28, 2025Joongwon Chae, Runming Wang, Chen Xiong +5Clinical PredictionPersonalized Large Language Model Agents

  54. Reliable Selection of Heterogeneous Treatment Effect Estimators

    Nov 23, 2025Jiayi Guo, Zijun GaoHeterogeneous Treatment EffectsTreatment Effect

  55. Tell Me: An LLM-powered Mental Well-being Assistant with RAG, Synthetic Dialogue Generation, and Agentic Planning

    Nov 18, 2025Trishala Jayesh AhalparaMental Health SupportSynthesizing Long-Horizon Campus Psychological Counseling Dialogues

  56. Skewness-Robust Causal Discovery in Location-Scale Noise Models

    Nov 18, 2025Daniel Klippert, Alexander MarxCausal Foundation ModelsLabel Skew

  57. Resilient by Design -- Active Inference for Distributed Continuum Intelligence

    Nov 10, 2025Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1ResilienceDistributed Optimization

  58. Avoiding Epiphenomenalism in Theories of Consciousness: A Causal Framework Based on Asymmetry

    Nov 6, 2025Yoshiyuki Ohmura, Yasuo KuniyoshiPhilosophyCausal Reasoning

  59. Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach

    Nov 3, 2025Jacob CarlsonCausal Foundation ModelsHypothesis Generation

  60. Gradient Boosted Mixed Models: Flexible Estimation of Mean and Variance Components for Clustered Data

    Oct 31, 2025Mitchell L. Prevett, Francis K. C. Hui, Zhi Yang Tho +2Logistic RegressionCovariate Shift