{"total":16,"rows":[{"id":"2412.04204","title":"PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models","created":"2024-12-05","cited_by_count":68,"area":null},{"id":"2410.14932","title":"Can AI weather models predict out-of-distribution gray swan tropical cyclones?","created":"2024-10-19","cited_by_count":26,"area":null},{"id":"2410.15625","title":"Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces","created":"2024-10-21","cited_by_count":11,"area":null},{"id":"2505.04802","title":"ORBIT-2: Scaling Exascale Vision Foundation Models for Weather and Climate Downscaling","created":"2025-05-07","cited_by_count":10,"area":null},{"id":"2504.11074","title":"Dynamical errors in machine learning forecasts","created":"2025-04-15","cited_by_count":6,"area":null},{"id":"2506.19088","title":"Finetuning a Weather Foundation Model with Lightweight Decoders for Unseen Physical Processes","created":"2025-06-23","cited_by_count":3,"area":null},{"id":"2507.23018","title":"Data Readiness for Scientific AI at Scale","created":"2025-07-30","cited_by_count":2,"area":null},{"id":"2603.25687","title":"On Neural Scaling Laws for Weather Emulation through Continual Training","created":"2026-03-26","cited_by_count":2,"area":null},{"id":"2604.16590","title":"Global Attention with Linear Complexity for Exascale Generative Data Assimilation in Earth System Prediction","created":"2026-04-17","cited_by_count":2,"area":null},{"id":"2506.21411","title":"Distributed Cross-Channel Hierarchical Aggregation for Foundation Models","created":"2025-06-26","cited_by_count":1,"area":null},{"id":"2507.16697","title":"Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit","created":"2025-07-22","cited_by_count":1,"area":null},{"id":"2607.02771","title":"Automated Data Readiness for Scientific AI","created":"2026-07-02","cited_by_count":1,"area":null},{"id":"2410.00273","title":"Comprehensive Performance Modeling and System Design Insights for Foundation Models","created":"2024-09-30","cited_by_count":0,"area":null},{"id":"2507.09080","title":"BioAnalyst: A Foundation Model for Biodiversity","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2608.15211","title":"TERRA: A Hierarchical Parallel Training and Memory Orchestration Framework for High-Resolution AI-based Earth Modeling","created":"2026-08-15","cited_by_count":0,"area":null},{"id":"2609.12815","title":"4D Parallelism Unlocks Exascale Bayesian Neural Networks for High-Fidelity Atmospheric Modeling","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}