Causal Reasoning

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7 papers in the last four weeks, down 12% on the four weeks before. 0.1% of all new papers.

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Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation
Sep 28, 2026Michael Vasilakakis, Dimitris K. IakovidisSynthetic Tabular Data Fuzzy
Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece
TraceVIC: Causal Reasoning over Code Evolution for Identifying Vulnerability-Inducing Commits
Sep 22, 2026Fnu Tanish, Samiha Shimmi, Samikshya Chapagain +3Vulnerable Code Commits
Northern Illinois University · MIT Lincoln Laboratory
xWhyL: Causal Interactive Learning
Sep 22, 2026Nicholas Tagliapietra, Florian Peter Busch, Moritz Willig +4Causal Reasoning Causal
Bosch Center for Artificial Intelligence, Germany · Computer Science Department, Technical University of Darmstadt, Germany · Hessian Center for AI (hessian.AI), Darmstadt, Germany
Concept Drift from a Causal Perspective
Sep 21, 2026Eduardo V. L. Barboza, Jean Paul Barddal, Robert Sabourin +1Causal Discovery Methods Causal Reasoning
LIVIA, École de Technologie Supérieure · Graduate Program in Informatics (PPGIa), Pontifícia Universidade Católica do Paraná (PUCPR)
From Concept Alignment to Causal Grounding: An Intervention Test of Chain-of-Thought Faithfulness
Sep 19, 2026Qianli Wang, Yilong Wang, Dennis Wei +5Explanation Faithfulness Faithfulness
Technische Universität Berlin · German Research Center for Artificial Intelligence (DFKI) · IBM Research +4
Decodability is Not Causality: Dissociating Probe Readouts from Behavioral Drivers via SAE Decomposition
Sep 16, 2026Devesh Tiwari, Camille Davis, Shivank Sinha +3Model Activations Causal Reasoning
WW-P High School South · Phillips Academy Andover · Dublin High School +3
A Computationally Feasible Framework for Causal Probabilistic Explanation
Sep 3, 2026Rafal Urbaniak, Sam Witty, Daniel Waxman +7Causal Reasoning Causal Modeling
Basis Research Institute · Sorbus AI · Massachusetts Institute of Technology +3
Symmetries and Causality: Causal Effect Identification Beyond IID Data
Sep 3, 2026Martin Rabel, Jakob RungeCausal Reasoning Causal
Department of Computer Science, University of Potsdam, Potsdam, Germany
The Mask Is Not the Model: Auditing Prefix Invariance in Attention, State-Space, and Hybrid Sequence Models
Aug 24, 2026Taebong Kim, Youngsik Hong, Minsik Kim +3Sequence Modeling Real-World Cloud Fault Injection Dataset
VIDRAFT AI Research · QuantumOS, Seoul, Republic of Korea
Context-Matched Distillation: Teacher Causality for Autoregressive Video Distillation
Aug 13, 2026Hmrishav Bandyopadhyay, Xuanchi Ren, Zijian Huang +7Autoregressive Video Diffusion Models Autoregressive Video Generation
NVIDIA · SketchX, CVSSP, University of Surrey
From probability to causality in probabilistic logic programming
Aug 7, 2026Zora Wurm, Kilian Rückschloß, Felix WeitkämperCausal Reasoning Probabilistic Model
Ludwig-Maximilians-Universität München, Oettingenstraße 67, 80538 München · Eberhard-Karls-Universität Tübingen, Auf der Morgenstelle 10, 72076 Tübingen · German University of Digital Science, Marlene-Dietrich-Allee 14, 14482 Potsdam
Toward a Causal Data Management Ecosystem for Decision Making and Agentic AI
Aug 7, 2026Dazhuo Qiu, Yingli Zhou, Amedeo Pachera +2Causal Reasoning Ecosystems
Lyon 1 University, CNRS Liris Lyon, France
Responsibility in Multi-Agent Sequential Decision-Making: Comparing Human Judgments to Formal Models of Causal Attribution
Aug 5, 2026Nripsuta Ani Saxena, Stelios Triantafyllou, Goran RadanovićHuman Judgment Causal Reasoning
University of Southern California Los Angeles, California, USA · Max Planck Institute for Software Systems Saarbrücken, Germany
Sensitivity, Causality, and Repair Dissociate: A Layer-Wise Analysis of Perturbation Robustness and Its Scaling
Aug 4, 2026Nathan Labiosa, David Buff, Ena Nayak +1Large Language Models Fail Layer-Wise
University of Southern California
When Many Answers Are Valid, Voting Fails: Symbolic Verification for Best-of-K Causal Reasoning in LLMs
Aug 4, 2026Omatharv Bharat Vaidya, Connor Thomas Jerzak, Zayne Rea Sprague +2Causal Reasoning Reasoning Traces
The University of Texas at Austin · New York University
ReasonCast: Towards Explainable Time Series Forecasting with Reasoning
Aug 3, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +9Time Series Forecasting Reasoning Skills
LG AI Research
The Role of Causality in Algorithmic Recourse
Jul 30, 2026Srikanth Avasarala, Varun Gupta, Shahin Jabbari +2Causal Reasoning High-Stakes Domains
Georgia Institute of Technology · Vector Institute · Drexel University +1
Orca: Neural Operators for Causal Reasoning in Continuous Time
Jul 30, 2026Gerrit Großmann, David A. Selby, Sebastian J. VollmerCausal Reasoning Neural Operators
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Equality, Equity, and Causality in Fairness Research: A Commentary on Cheng (2026)
Jul 20, 2026Youmi SukAlgorithmic Fairness Psychometric Properties
Teachers College, Columbia University
Beyond Coordinate Gauge: An Audited Protocol for Detecting Donor-Specific Functional Fingerprints after Neural Collapse
Jul 12, 2026Truong Xuan Khanh, Phan Thanh DucNeural Collapse Fingerprint
H&K Research Studio, Clevix LLC, Hanoi, Vietnam · Banking Academy of Vietnam, Hanoi, Vietnam
CausalDS: Benchmarking Causal Reasoning in Data-Science Agents
Jul 9, 2026Andrej Leban, Yuekai SunData Science Agents Causal Reasoning
Department of Statistics University of Michigan Ann Arbor, MI, United States
Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization
Jul 4, 2026Nicole Sonne Heckmann, Arnault-Quentin Vermillet, Søren Norlin Mølgaard +4Causal Reasoning Agreement
Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark. · Safety Operations, Novo Nordisk, Søborg, Denmark. · Clinical Development Centre Denmark, Novo Nordisk, Søborg, Denmark. +1
Actual causality in fault trees
Jul 2, 2026Georgiana Caltais, Milan Lopuhaä-Zwakenberg, Mariëlle StoelingaCausal Reasoning Robot Failures
University of Twente, The Netherlands · Radboud University, The Netherlands
Scientific Explanations in Health Sciences: Causality, Trust, and Epistemic Adequacy
Jun 30, 2026Martina Mattioli, Marcello PelilloExplainable Artificial Intelligence Xai
Beyond But-for Test: Counterfactual Explanation in Abstract Argumentation via Actual Causality (Extended Version)
Jun 30, 2026Siyi Liu, Muyun Shao, Beishui LiaoCounterfactual Explanation Argumentation Frameworks
Zhejiang University, Hangzhou, China
Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
Jun 23, 2026Jiayi Lei, Yuandong Pu, Xingyu Han +8Modern Text-To-Image Models Text-To-Image
Shanghai Jiao Tong University · Shanghai AI Laboratory · The Chinese University of Hong Kong
Explaining Failures of Cyber-Physical Systems with Actual Causality
Jun 23, 2026Khen Elimelech, Tom Yaacov, David A. Kelly +2Cyber-Physical System Causal Reasoning
King’s College London · Rice University
Vernier: Probing Representational Misalignment Behind Lexical Gaps in Causal Reasoning
Jun 14, 2026Zhenyu YuCausal Reasoning Measures
College of Computer Science and Artificial Intelligence Fudan University
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning
Jun 11, 2026Renmin Cheng, Changhao ChenLong-Horizon Agents Episodic Memory
The Hong Kong University of Science and Technology · The Hong Kong University of Science and Technology (Guangzhou)
Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs
Jun 4, 2026Tianyi Tang, Zhuoyi Lin, Zeyu Feng +4Causal Reasoning Causal Graph
CFAR, IHPC, Agency for Science, Technology and Research (A*STAR) Singapore · I2R, Agency for Science, Technology and Research (A*STAR) Singapore · Nanyang Technological University Singapore
Reconciling Causality and Non-Equilibrium Thermodynamics with Hamiltonian Causal Models
Jun 3, 2026Dario Rancati, Max Welling, Francesco LocatelloCausal Modeling Causal Reasoning
Institute of Science and Technology Austria · University of Amsterdam
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence
May 29, 2026Yulu Pan, Han Yi, Seongsu Ha +4Causal Reasoning
University of North Carolina at Chapel Hill, Chapel Hill, NC, USA · Northeastern University, Boston, MA, USA
YoCausal: How Far is Video Generation from World Model? A Causality Perspective
May 28, 2026You-Zhe Xie, Yu-Hsuan Li, Jie-Ying Lee +3Video Diffusion Models Causal Reasoning
National Yang Ming Chiao Tung University · Shanda AI Research Tokyo
DMC-CF: Dynamic Multimodal CounterFactual QA benchmark for Causal Reasoning
May 28, 2026Junzhe Zhang, Huixuan Zhang, Guirong Wang +5Multimodal Reasoning Benchmarks Causal Reasoning
Wangxuan Institute of Computer Technology, Peking University · Alibaba Group
BEAMS: Benchmarking and Evaluating AI for Modeling and Simulation
May 27, 2026Sara Metcalf, William SchoenbergArtificial Intelligence Evaluation User Simulation
ISEE Systems
Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express
May 25, 2026Ziyi Ding, Xiao-Ping ZhangLarge Language Models Fail LLM Reasoning Strategies
Tsinghua Shenzhen International Graduate School, Tsinghua University Shenzhen, China
Towards a Universal Causal Reasoner
May 24, 2026Qirun Dai, Xiao Liu, Jiawei Zhang +3Causal Reasoning LLM Reasoning Strategies
1The University of Chicago · University of Illinois Urbana-Champaign
From Activation to Causality: Discovery of Causal Visual Representations in the Human Brain
May 22, 2026Yuval Golbari, Navve Wasserman, Matias Cosarinsky +5Causal Representation Learning Functional Magnetic Resonance Imaging
Weizmann Institute of Science · Massachusetts Institute of Technology
Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
May 22, 2026Ernest FokouéCausal Inferences Causal Reasoning
School of Mathematics and Statistics, College of Science Rochester Institute of TechnologyMay Rochester, New York 14623, USA
Causal Learning with the Invariance Principle
May 13, 2026Francesco Montagna, Francesco LocatelloCausal Discovery Methods Causal Graph
Institute of Science and Technology Austria
CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
May 13, 2026Armin Toroghi, Faeze Moradi Kalarde, Scott SannerTable Reasoning Datasets Knowledge Graphs
University of Toronto · Toronto, ON, Canada
CauSim: Scaling Causal Reasoning with Increasingly Complex Causal Simulators
May 9, 2026Nicolás Astorga, Anita Kriz, Mihaela van der SchaarLLM Reasoning Strategies Causal Reasoning
DAMTP, University of Cambridge, Cambridge, UK
Long Context Pre-Training with Lighthouse Attention
May 7, 2026Bowen Peng, Subho Ghosh, Jeffrey QuesnelleCausal Reasoning
Nous Research
A Topological Sorting Criterion for Random Causal Directed Acyclic Graphs
May 7, 2026Alexander G. Reisach, Antoine Chambaz, Gilles Blanchard +1Causal Graph Causal Discovery Methods
Laboratoire de Mathématiques d’Orsay Université Paris-Saclay 91400 Orsay, France · CNRS, MAP5 Université Paris Cité F-75006 Paris, France · Department of Mathematical Sciences and Pioneer Centre for Artificial Intelligence, University of Copenhagen, Denmark
On Semantic Loss Fine-Tuning Approach for Preventing Model Collapse in Causal Reasoning
May 6, 2026Pratik Deshmukh, Atirek GuptaCausal Reasoning Collapse
Technical University of Vienna, Austria · HCLTech, Noida, India
NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
May 5, 2026Zhi Xu, Yun FuLLM Reasoning Strategies Causal Reasoning
Northeastern University
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
May 4, 2026Ruta Binkyte, Ivaxi Sheth, Zhijing Jin +3Trustworthy Artificial Intelligence Causal Reasoning
CISPA Helmholtz Center for Information Security · Max Planck Institute for Intelligent Systems, Tübingen · EuroSafeAI +3
Shadow-Loom: Causal Reasoning over Graphical World Models of Narratives
May 4, 2026David WilmotNarratives Causal Reasoning
ISAAC: Auditing Causal Reasoning in Deep Models for Drug-Target Interaction
May 3, 2026Barbara Tarantino, Sun Kim, Yijingxiu Lu +1Moleculenet Model Auditing
Department of Economics and Management, University of Pavia, Pavia, Italy · Department of Computer Science and Engineering, Seoul National University, Gwanak-gu 08826, Korea.
Time, Causality, and Observability Failures in Distributed AI Inference Systems
Apr 23, 2026Ankur Sharma, Deep Shah, David Lariviere +1Agentic Inference Distributed Optimization
Unified Intelligent Infrastructure workstream at the Open Compute Project (OCP)
Separable Pathways for Causal Reasoning: How Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
Apr 21, 2026John Alderete, Sebastian Benthal, Connie Xu +1Agentic Reasoning Hypothesis-Driven Model Expansion
Amigo AI · Simon Fraser University · International Computer Science Institute
Emotion-Cause Pair Extraction in Conversations via Semantic Decoupling and Graph Alignment
Apr 21, 2026Tianxiang Ma, Weijie Feng, Xinyu Wang +1Emotion Recognition Causal Reasoning
Hefei University of Technology
ClimateCause: Complex and Implicit Causal Structures in Climate Reports
Apr 16, 2026Liesbeth Allein, Nataly Pineda-Castañeda, Andrea Rocci +1Causal Graph Causal Reasoning
Department of Computer Science, KU Leuven, Belgium · Institute of Argumentation, Linguistics, and Semiotics (IALS), Universit`a della Svizzera italiana, Switzerland
CausalFlip: A Benchmark for LLM Causal Judgment Beyond Semantic Matching
Feb 23, 2026Yuzhe Wang, Yaochen Zhu, Jundong LiCausal Reasoning LLM Reasoning Strategies
University of Virginia Charlottesville, Virginia, USA
What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
Jun 1, 2025Zhaotian Weng, Haoxuan Li, Xin Eric Wang +2Visual Reasoning Causal Reasoning
University of Southern California · University of California, Santa Barbara · Texas A&M University
Causal Explanations for Image Classifiers
Nov 13, 2024Hana Chockler, David A. Kelly, Daniel Kroening +1Explainability Explainable AI Methods
King’s College London, London, UK · Amazon.com, Inc.,, USA · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE +1
Granger Causality in Extremes
Jul 12, 2024Juraj Bodik, Olivier C. PascheCausal Discovery Methods Extremes
Faculty of Business and Economics, University of Lausanne, Switzerland · Department of Statistics, UC Berkeley, California, USA · Research Institute for Statistics and Information Science, University of Geneva, Switzerland +1
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
Jun 12, 2024Zineb Senane, Axel Karlsson, Lele Cao +6Synthetic Tabular Data Causal Modeling
KTH Royal Institute of Technology · Stockholm, Sweden · King AI Labs, Microsoft +2
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
Apr 1, 2024Paritosh Parmar, Eric Peh, Ruirui Chen +4Causal Reasoning Long Video Question Answering
Institute of High-Performance Computing, Agency for Science, Technology and Research, Singapore · Nanyang Technological University · National University of Singapore +1
Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective
Date pendingErfan LoghmaniLarge Language Model Fine-Tuning Large Language Models Fail
Foster School of Business University of Washington Seattle, WA 98195

Sep 28, 2026, cs.AIJ/K move · Enter open · S save

Fuzzy Distribution Modeling for Synthetic Tabular Data Generation with Causality Preservation

Michael Vasilakakis, Dimitris K. Iakovidis

Department of Computer Science and Biomedical Informatics, University of Thessaly, Lamia, Greece

Synthetic Tabular Data Fuzzy Causal Reasoning Fuzzy Cognitive Map

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Synthetic tabular data generation provides an effective alternative for the training of machine learning models when real-world data is limited or inaccessible. However, the heterogeneous, non-smooth, and incomplete nature of tabular data poses fundamental challenges to conventional probabilistic and deep generative models, where their interpretability remains limited. This paper proposes a novel fuzzy distribution modeling methodology for synthetic tabular data generation based on fuzzy sets theory. Feature distributions are represented using fuzzy sets and feature dependencies are modeled through Fuzzy Cognitive Maps, resulting in a low-parameter, and an interpretable data representation. Synthetic samples are generated by sampling fuzzy concepts rather than raw values, enabling native support for mixed data types, missing values, and domain constraints. The methodology further supports linguistic queries and IF-THEN reasoning, facilitating transparent simulation of decision-making processes. Experimental results on benchmark datasets demonstrate competitive performance with respect to utility, fidelity and privacy compared to state-of-the-art methods, while offering substantially improved interpretability. These results establish fuzzy distribution modeling as a principled and effective approach for synthetic tabular data generation in fuzzy systems and decision support applications.

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