{"total":38,"rows":[{"id":"2310.01753","title":"CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery","created":"2023-10-03","cited_by_count":36,"area":null},{"id":"2403.09300","title":"Recursive Causal Discovery","created":"2024-03-14","cited_by_count":12,"area":null},{"id":"2506.01361","title":"TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery","created":"2025-06-02","cited_by_count":10,"area":null},{"id":"2306.07803","title":"Inferring dynamic regulatory interaction graphs from time series data with perturbations","created":"2023-06-13","cited_by_count":9,"area":null},{"id":"2305.05276","title":"Causal Discovery from Subsampled Time Series with Proxy Variables","created":"2023-05-09","cited_by_count":8,"area":null},{"id":"2502.09341","title":"Neural Spatiotemporal Point Processes: Trends and Challenges","created":"2025-02-13","cited_by_count":5,"area":null},{"id":"2509.19112","title":"Towards Practical Multi-label Causal Discovery in High-Dimensional Event Sequences via One-Shot Graph Aggregation","created":"2025-09-23","cited_by_count":4,"area":null},{"id":"2509.23213","title":"One-Shot Multi-Label Causal Discovery in High-Dimensional Event Sequences","created":"2025-09-27","cited_by_count":4,"area":null},{"id":"2404.05746","title":"Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2411.10918","title":"INVARLLM: LLM-assisted Physical Invariant Extraction for Cyber-Physical Systems Anomaly Detection","created":"2024-11-17","cited_by_count":2,"area":null},{"id":"2507.03310","title":"Causal Discovery for Irregularly Time Series with Consistency Guarantees","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2410.19469","title":"Unified Causality Analysis Based on the Degrees of Freedom","created":"2024-10-25","cited_by_count":1,"area":null},{"id":"2507.14126","title":"Toward Temporal Causal Representation Learning with Tensor Decomposition","created":"2025-07-18","cited_by_count":1,"area":null},{"id":"2508.05792","title":"Holistic Explainable AI (H-XAI): Extending Transparency Beyond Developers in AI-Driven Decision Making","created":"2025-08-07","cited_by_count":1,"area":null},{"id":"2605.05524","title":"MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series","created":"2026-05-06","cited_by_count":1,"area":null},{"id":"2605.29453","title":"Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2606.23880","title":"GRACE: Gated Refinement for Accurate Causal Edge Discovery in High-Dimensional Time Series","created":"2026-06-22","cited_by_count":1,"area":null},{"id":"2409.15219","title":"MotifDisco: Motif Causal Discovery For Time Series Motifs","created":"2024-09-23","cited_by_count":0,"area":null},{"id":"2501.03130","title":"SpinSVAR: Estimating Structural Vector Autoregression Assuming Sparse Input","created":"2025-01-06","cited_by_count":0,"area":null},{"id":"2502.02109","title":"Causally-informed Deep Learning towards Explainable and Generalizable Outcomes Prediction in Critical Care","created":"2025-02-04","cited_by_count":0,"area":null},{"id":"2503.07475","title":"Sample Complexity of Nonparametric Closeness Testing for Continuous Distributions and Its Application to Causal Discovery with Hidden Confounding","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2507.12257","title":"Robust Causal Discovery in Real-World Time Series with Power-Laws","created":"2025-07-16","cited_by_count":0,"area":null},{"id":"2508.09504","title":"Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2511.11357","title":"KarmaTS: A Universal Simulation Platform for Multivariate Time Series with Functional Causal Dynamics","created":"2025-11-14","cited_by_count":0,"area":null},{"id":"2512.16046","title":"CauSTream: Causal Spatio-Temporal Representation Learning for Streamflow Forecasting","created":"2025-12-18","cited_by_count":0,"area":null},{"id":"2604.02488","title":"Causal-Audit: A Framework for Risk Assessment of Assumption Violations in Time-Series Causal Discovery","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.16982","title":"A phenotype-driven and evidence-governed framework for knowledge graph enrichment and hypotheses discovery in population data","created":"2026-04-18","cited_by_count":0,"area":null},{"id":"2605.01669","title":"PRCD-MAP: Learning How Much to Trust Imperfect Priors in Causal Discovery","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.08111","title":"TTCD:Transformer Integrated Temporal Causal Discovery from Non-Stationary Time Series Data","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2606.03227","title":"Learning Temporal Causal Structure via Smooth Differentiable Optimization","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.08202","title":"Vector Space of Cycles","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2606.09892","title":"LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2608.21815","title":"Resilient Concurrent Causal Discovery for Topological Event Sequences","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2609.05150","title":"Beyond Stationarity in Time Series: Discovering Causal Structures and Latent Regimes via Markov Blankets","created":"2026-09-04","cited_by_count":0,"area":null},{"id":"2609.15305","title":"When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2609.19955","title":"One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.23516","title":"ITSY: Causal Discovery From Irregular Time-Series Data","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2609.31801","title":"seq2cause: One Autoregressive Backbone, Four Causal Discovery Tasks in Event Sequences","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}