{"passport":{"slug":"gencc","display_name":"GenCC","model_type":"language","parameter_count":null,"context_window":null,"claimed_developer":"ArXiv AI","confirmed_developer":null,"developer_confirmed_at":null,"developer_source":null,"first_appeared_at":"2026-03-12T12:32:34.527721+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":1,"eu_ai_act":"GPAI","regulatory_status":{"eu_ai_act":"GPAI"},"open_source":null,"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":"2026-03-12T12:32:34.527721+00:00","title":"First recorded in AI news","detail":"Researchers present GenCC, a framework that leverages large language models (LLMs) to design congestion control utility functions, with the ability to analyze the impact of different guidance strategies on the performance of the generated protocols.","source_url":"https://arxiv.org/abs/2603.10357","source_name":"ArXiv AI"}],"delta":{"days_unattributed":119,"claimed_developer":"ArXiv AI","confirmed_developer":null,"match":false}}