Causal Graph

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9 papers in the last four weeks, up 125% on the four weeks before. 0.1% of all new papers.

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  1. Causal Improvement Graph for Agentic Harness Optimization

    Oct 4, 2026Junjie Zhang, Shunyu Liu, Haoyu Wang +3Agent HarnessCausal Graph

    Generative AI Lab, College of Computing and Data Science, Nanyang Technological University, Singapore 639798 · Tongyi Lab, Alibaba Group

  2. Demistifying Data and Simulator Assumptions in Supervised Causal Discovery

    Sep 29, 2026Pingchuan Ma, Rui Ding, Bojun Huang +1Causal Discovery MethodsCausal Graph

    Zhejiang University of Technology, China · Microsoft Research Asia · Sony Research +1

  3. GradLev: Token-Parallel Test-Time Training Via Costate Prediction

    Sep 28, 2026Bo Liu, Qiang LiuTest-Time TrainingInference-Time

    The University of Texas at Austin

  4. Circuit-Diff: Factual Edit-based Intervention Method for Localizing Knowledge in Attribution Graphs

    Sep 20, 2026Edward G. Friedman, Xiangchen SongCircuitsMechanistic Interpretability

    School of Computer Science Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213

  5. Epidemiological Causal Graph Identification: Challenges, Identifiability and Algorithms

    Sep 17, 2026Sambit Mishra, Yingying Wang, Christine K. Johnson +1Causal Discovery MethodsCausal Graph

    University of Southern California · University of California, Davis

  6. MaSCoD: A Multi-Agent Framework for Structural-Context-Guided Candidate Causal Graph Generation

    Sep 17, 2026Yudai Nakada, Yuichiro Nishiura, Jin Michael SplichalCausal GraphCandidate

    SCSK Corporation Tokyo, Japan

  7. Copula Adapted Directed Acyclic Graph for Cluster Representation of Biomedical Data

    Sep 14, 2026Heranga K. Rathnasekara, Norou Diawara, Manar D. SamadCausal Discovery MethodsCausal Graph

    Department of Mathematics and Statistics Old Dominion University, Norfolk, VA 23529, USA · Department of Computer Science North Carolina Agricultural and Technical State University Greensboro, NC 27411, USA

  8. From Explanations to Interventions: Execution-Guided Counterfactual Synthesis in Temporal Graphs

    Sep 10, 2026Minwoo Yu, Young-guk HaCounterfactual ExplanationTemporal Knowledge Graphs

    Smart Computing Laboratory, Department of Computer Science & Engineering, Konkuk University, Seoul 05029, Republic of Korea

  9. Tensor Network Moral Graph Recovery of Discrete Probability Distributions

    Sep 8, 2026Á. Troyano Olivas, Chi-Hang Fred Fung, Hans H. Brunner +2Causal GraphTensor Networks

    Heisenberg Research Center (Munich), Huawei Technologies Duesseldorf GmbH, Germany · Center for Computational Simulation, Universidad Politécnica de Madrid, Madrid, Spain

  10. Portable Causal Fairness Across Synthetic Data Generator Families

    Sep 2, 2026Steven Golob, Sikha Pentyala, Martine De CockAlgorithmic FairnessSynthetic Data

    University of Washington Tacoma

  11. Replicating TRACE: A Practitioner's Guide to Its Threshold and Particle Budget

    Sep 1, 2026Alex Chadyuk, Alicia Zhang, Roy KucukatesCausal GraphTraces

    LotusFlare Inc.

  12. Verifiable Disaster Storylines and Causal Knowledge Graphs: A Citation-Grounded Pipeline from Heterogeneous Humanitarian Sources

    Sep 1, 2026Ivan Decostanzi, Michele Ronco, Sergio Consoli +8Disaster ResponseHumanitarian Reports

    ISI Foundation · Turin, Italy · European Commission, Joint Research Centre (JRC) +4

  13. Interpretable Causal Discovery via Causal-Effect Constraints

    Aug 12, 2026Cixuan Zhang, Guy Van den Broeck, Benjie WangCausal Discovery MethodsCausal Graph

    Computer Science Dept., Yale University, New Haven, Connecticut, USA · Computer Science Dept., University of California, Los Angeles, Los Angeles, California, USA

  14. Human-Guided Causal Knowledge Injection for Virtual Cells

    Aug 9, 2026Pengcheng Wang, Changjian Chen, Zhuo Tang +4Causal GraphVirtual Cell

  15. Traceable Multi-Agent System for Knowledge-Based Forecasting

    Aug 4, 2026Junhyeok Kang, Sangjun Han, Hyeokjun Choe +1Retrieval-Augmented ForecastingForecast

    LG AI Research · Seoul, Republic of Korea

  16. EvoCause: LLM-Guided Evolution of Causal Graphs for Root Cause Analysis

    Jul 29, 2026Lei Zan, Keli Zhang, Shifeng Xie +7Root Cause AnalysisCausal Graph

    Huawei Noah’s Ark Lab · Guangdong University of Technology, Peng Cheng Laboratory

  17. Amortized Bayesian Causal Discovery of Extended Factor Graphs

    Jul 24, 2026Yichen Gu, Yuxuan Song, Weizhou Qian +2Causal GraphRegulatory Networks

    Department of Electrical and Computer Engineering University of Michigan Ann Arbor, MI 48109, USA · Department of Computational Medicine and Bioinformatics University of Michigan, Ann Arbor Ann Arbor, MI 48109, USA · Department of Statistics University of Michigan, Ann Arbor Ann Arbor, MI 48109, USA +1

  18. EviDAG: Auditable Causal DAG Authoring with Biomedical Literature

    Jul 23, 2026Yi-han Sheu, Michael R. Steigman, Yu Zhou +3Causal GraphCausal

    Massachusetts General Hospital, USA · Harvard University, USA · Northeastern University, USA

  19. Causal Discovery on Irregular Time Series

    Jul 20, 2026Martim Penim, Ricardo Ribeiro Pereira, Jacopo Bono +3Causal Discovery MethodsCausal Graph

    1Feedzai, Portugal · 3DCC, Faculdade de Ciêncidas da Universidade do Porto, Portugal · 2Instituto Superior Técnico, Universidade de Lisboa, Portugal +1

  20. A Causal Markov Condition for Value

    Jul 18, 2026Olav Benjamin VassendConditional IndependenceCausal Graph

    University of Inland Norway

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

    Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal GraphNeural Network

    University of Houston · PayPal Inc. · Kent State University

  22. Verifying formulas for interventional distributions

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

    Department of Mathematical Sciences, University of Copenhagen, Denmark · School of Mathematics and Statistics, University College Dublin, Ireland

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

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

    Department of Electrical and Computer Engineering University of Houston, Houston, TX, USA

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

    Jul 14, 2026Arash Nikzad, Sasan Sarbishegi, Ali Dasmeh +8Fuzzy Cognitive MapClass Activation Mapping

    Goethe University Frankfurt, Frankfurt, Germany · Independent Researcher, Teheran, Iran · Max Planck Institute for Human Development, Berlin, Germany +8

  25. Falsifying Causal Graphs With Outlier Events

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

    University of Cambridge, Cambridge, UK · Karlsruhe Institute of Technology, Karlsruhe, Germany · Amazon Research, Tübingen, Germany

  26. Integrating Background Knowledge for Scalable Causal Discovery

    Jul 11, 2026Mátyás Schubert, Theofanis Aslanidis, Tom Claassen +1Causal Discovery MethodsCausal Graph

    University of Amsterdam · Radboud University Nijmegen · Saarland University

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

    Jul 10, 2026Xin Li, Jin Li, Shoujin Wang +2Causal Discovery MethodsCausal Graph

    University of Technology Sydney · Sydney, NSW, Australia

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

    Jul 7, 2026Ming Cai, Hisayuki HaraDirected Acyclic GraphLatent Confounders

    Graduate School of Informatics, Kyoto University, Kyoto, Japan · Institute for Liberal Arts and Sciences, Kyoto University, Kyoto, Japan

  29. Repair the Amplifier, Not the Symptom: Stable World-Model Correction for Agent Rollouts

    Jul 2, 2026Xinyuan Song, Zekun CaiRepairLarge Language Model Planning

    Emory University, Atlanta, GA, USA · The University of Tokyo, Tokyo, Japan · LocationMind, Tokyo, Japan

  30. Non-parametric recovery of causal diffusion mechanisms from steady-state observations

    Jun 29, 2026Richard Schwank, Mathias DrtonCausal Discovery MethodsCausal Graph

    School of Computation, Information and Technology, Technical University of Munich · 2Munich Center for Machine Learning

  31. FinInvest-GTCN: Explainable Graph-Temporal-Causal Modeling for Risk-Aware Investment Decision Optimization

    Jun 27, 2026Junyan Tan, Yifan Li, Minghao Wang +2Causal GraphFinance Benchmarks

    Department of Computer Science Zhejiang University

  32. Lifted Causal Inference

    Jun 26, 2026Malte Luttermann, Tanya Braun, Ralf Möller +1Causal GraphCausal Inferences

    Institute for Humanities-Centered Artificial Intelligence, University of Hamburg, Hamburg, Germany. · German Research Center for Artificial Intelligence (DFKI), Lübeck, Germany. · Data Science Group, University of Münster, Münster, Germany.

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

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

    Massachusetts Institute of Technology, Cambridge, MA, USA.

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

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

    LIX, CNRS, École polytechnique, Institut Polytechnique de Paris, Palaiseau, France

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

    Jun 19, 2026Zhengkang Guan, Yikang Chen, Yi He +5Causal Discovery MethodsCausal Graph

    College of Computer Science and Technology Zhejiang University

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

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

    NOVA LINCS, NOVA School of Science and Technology, Lisbon, Portugal

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

    Jun 16, 2026Zhaoyuan Yu, Zhangyong LiangEarly WarningCausal Graph

    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China · National Center for Applied Mathematics, Tianjin University, Tianjin 300072, China

  38. Faithful Action-unit Causal Reasoning for Counterfactually Faithful Emotion Explanations

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Thuy Pham +2Faithful ExplanationFree-Form Textual Rationales

    Faculty of CSE, Ho Chi Minh City University of Technology (HCMUT), VNUHCM, Vietnam · Dept. of AI, FPT University, Vietnam · Faculty of DSAI, College of Technology, National Economic University, Vietnam +1

  39. Feature Attribution in Directed Acyclic Graphs Using Edge Intervention

    Jun 13, 2026Qiheng Sun, Junxu Liu, Xiaokai Mao +4Shapley Additive ExplanationsCausal Graph

    The Hong Kong Polytechnic University, Hong Kong, China · Zhejiang University, Hangzhou, China · University of Illinois Urbana-Champaign, Urbana, USA

  40. Relational Structural Causal Models

    Jun 12, 2026Adiba Ejaz, Elias BareinboimCausal ModelingCausal Graph

    Causal AI Lab, Department of Computer Science, Columbia University, NY, USA.

  41. NetCause: Counterfactual Learning for Root Cause Analysis in Large-Scale Networks

    Jun 11, 2026Fabien Chraim, Jian Zhang, Dominik Janzing +3Root Cause AnalysisCausal Graph

    Amazon Web Services, Seattle, Washington, USA

  42. Graphical Causal Reasoning for Root Cause Analysis in Cloud Networks

    Jun 11, 2026Fabien Chraim, Dominik Janzing, John EvansRoot Cause AnalysisCausal Graph

    Amazon Web Services

  43. CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts

    Jun 11, 2026Bo Liu, Di Dai, Jingwei Liu +5Causal Discovery MethodsCausal Graph

    State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University Beijing, China · National Institute of Health Data Science, and Institute for Artificial Intelligence, Peking University Beijing, China

  44. The Impossibility of Eliciting Latent Knowledge

    Jun 10, 2026Korbinian Friedl, Francis Rhys Ward, Paul Yushin Rapoport +2HonestyArtificial Intelligence Agents

    The London School of Economics and Political Science · Independent

  45. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting

    Jun 9, 2026Xinyu Li, Yuanyuan Wang, Haoxuan Li +7Causal Discovery MethodsCausal Graph

    The University of Melbourne · MBZUAI · Peking University +4

  46. Causally Evaluating the Learnability of Formal Language Tasks

    Jun 8, 2026Vésteinn Snæbjarnarson, Anej Svete, Josef Valvoda +3Legal Natural Language Processing BenchmarksLearnability

    1ETH Zürich · University of Copenhagen · *Now at Google

  47. Correlation Is Not Enough: Embedding Human Metadata for Individual Causal Discovery

    Jun 8, 2026Suraj Biswas, Saurabh Gupta, Pritam MukherjeeSpurious CorrelationsCausal Graph

    ¹ Assessli Research · ² Dots-In Research, Bengaluru, India

  48. Auditable Graph-Guided Root Cause Analysis for Kubernetes Incidents

    Jun 7, 2026Anastasiia Kuvshinova, Seungmin JinRoot Cause AnalysisReasoning Graphs

    HSE University Moscow, Russia

  49. Querying Counterfactuals on Tissue Graphs with Supervised Disentanglement

    Jun 7, 2026Abdul Moeed, Stefan Schrod, Martin Rohbeck +4Causal Graph

    Division of Computational Genomics and Systems Genetics, German Cancer Research Center (DKFZ), Heidelberg, Germany · Helmholtz Information & Data Science School for Health, Germany · Genome Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany +4

  50. LLM Explainability with Counterfactual Chains and Causal Graphs

    Jun 4, 2026Nirit Nussbaum-Hoffer, Nitay Calderon, Liat Ein-Dor +1Causal GraphExplainability

    Faculty of Data and Decision Sciences, Technion · IBM Research

  51. Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs

    Jun 4, 2026Tianyi Tang, Zhuoyi Lin, Zeyu Feng +4Causal ReasoningCausal 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

  52. StableRCA: Robust Graph-Agnostic Mechanism-Level Root Cause Analysis

    Jun 4, 2026Xiaoyu Lin, Nicholas Tagliapietra, Kehan Li +2Root Cause AnalysisCausal Graph

    Computer Science Department TU Darmstadt, Germany

  53. CausalPOI: Spatio-Temporal Graph-Based Causal Modeling for Cold-Start POI Check-in Forecasting

    Jun 3, 2026Zhaoqi Zhang, Miao Xie, Yi Li +3Causal GraphLocation

    Nanyang Technological University Singapore, Singapore · China Agricultural University Beijing, China · Meituan Beijing, China

  54. Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection

    Jun 2, 2026Gautam Gare, John Galeotti, Michael Mozer +2Causal GraphCovid-19

    Carnegie Mellon University · Google DeepMind

  55. Consistency evaluation of benchmarks used for causal discovery

    Jun 1, 2026Yuzhe Zhang, Chihui Chen, Lina Yao +1Causal Discovery MethodsCausal Graph

    Independent researcher · Australia · UNSW +1

  56. Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

    May 31, 2026Shuochen Chang, Tong Bai, Xiaofeng Zhang +5Efficient Latent ReasoningLatent Feature Interventions

    1Shanghai Jiao Tong University · 2Fudan University

  57. GL-LFGNN:A Global-Local Dual-branch Causal Graph Neural Network Based on Liang-Kleeman Information Flow for EEG Emotion Recognition

    May 24, 2026Ziyi Wang, Dongyang KuangElectroencephalographyHuman Brain Networks

  58. Causal Anomaly Detection for Lithium-Ion Battery Degradation

    May 17, 2026Dieter W. Heermann, Hagen HeermannLithium-Ion BatteriesInterpretable Anomaly Detection

    Institute for Theoretical Physics, Heidelberg University, Philosophenweg 19, D-69120 Heidelberg, Germany · Intilion GmbH, Wollmarktstraße 115c, D-33098 Paderborn, Germany

  59. Causal Learning with the Invariance Principle

    May 13, 2026Francesco Montagna, Francesco LocatelloCausal Discovery MethodsCausal Graph

    Institute of Science and Technology Austria

  60. Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling

    May 12, 2026Chenran Zhao, Dianxi Shi, Yaowen Zhang +2Offline Reinforcement LearningCross-Task Knowledge Transfer

    College of Computer Science and Technology, National University of Defense Technology, Changsha, China · Institute of Military Transportation, Tianjin, China · Intelligent Game and Decision Lab (IGDL), Beijing, China