{"total":16,"rows":[{"id":"2502.08942","title":"Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative","created":"2025-02-13","cited_by_count":40,"area":null},{"id":"2505.12709","title":"Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics","created":"2025-05-19","cited_by_count":17,"area":null},{"id":"2411.01410","title":"PageRank Bandits for Link Prediction","created":"2024-11-03","cited_by_count":14,"area":null},{"id":"2505.18442","title":"Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting","created":"2025-05-24","cited_by_count":12,"area":null},{"id":"2411.01992","title":"Ask, and it shall be given: On the Turing completeness of prompting","created":"2024-11-04","cited_by_count":10,"area":null},{"id":"2505.24178","title":"Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem","created":"2025-05-30","cited_by_count":5,"area":null},{"id":"2506.08309","title":"Learnable Spatial-Temporal Positional Encoding for Link Prediction","created":"2025-06-10","cited_by_count":3,"area":null},{"id":"2506.01849","title":"Trojan Horse Hunt in Time Series Forecasting for Space Operations","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2510.25093","title":"Continual Low-Rank Adapters for LLM-based Generative Recommender Systems","created":"2025-10-29","cited_by_count":2,"area":null},{"id":"2601.19102","title":"OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2602.07256","title":"Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2603.10160","title":"ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning","created":"2026-03-10","cited_by_count":1,"area":null},{"id":"2604.03427","title":"Adversarial Robustness of Deep State Space Models for Forecasting","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2510.16704","title":"Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization","created":"2025-10-19","cited_by_count":0,"area":null},{"id":"2605.22365","title":"TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.20554","title":"Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation","created":"2026-06-18","cited_by_count":0,"area":null}],"next_cursor":null}