{"passport":{"slug":"multi-resolution-graph-neural-forecasting","display_name":"Multi-Resolution Graph Neural Forecasting","model_type":"null","parameter_count":null,"context_window":null,"claimed_developer":"MR-GNF","confirmed_developer":null,"developer_confirmed_at":null,"developer_source":null,"first_appeared_at":"2026-03-20T12:31:15.817165+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":1,"eu_ai_act":null,"regulatory_status":{},"open_source":true,"weights_available":null,"license":null,"provenance_chain":[],"parent_model":null,"model_family":null,"superseded_by":null,"supersedes":[],"recommended_replacement":null,"product_links":null},"events":[{"event_type":"first_appearance","event_date":"2026-03-20T12:31:15.817165+00:00","title":"First recorded in AI news","detail":"MR-GNF is a lightweight, physics-aware model that performs short-term regional weather forecasts directly on an ellipsoidal, multi-scale graph of the Earth. The model couples a 0.25° region of interest with a 0.5° context belt and 1.0° outer domain, enabling continuous cross-scale message passing without explicit nested boundaries.","source_url":"https://arxiv.org/abs/2603.13563","source_name":"ArXiv AI"}],"delta":{"days_unattributed":111,"claimed_developer":"MR-GNF","confirmed_developer":null,"match":false}}