{"passport":{"slug":"vot","display_name":"VoT","model_type":"multimodal","parameter_count":null,"context_window":null,"claimed_developer":"East China Normal University","confirmed_developer":"East China Normal University","developer_confirmed_at":"2026-03-16T00:00:00+00:00","developer_source":"Confirmed via https://arxiv.org/abs/2603.15452","first_appeared_at":"2026-03-19T00:34:44.271332+00:00","first_appeared_on":"rss_pipeline","status":"confirmed","availability":null,"deployment_status":"not_deployed","availability_scope":null,"gate":3,"eu_ai_act":"GPAI","regulatory_status":{"eu_ai_act":"GPAI"},"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":"developer_corrected","event_date":"2026-05-01T04:40:09.602+00:00","title":"claimed_developer corrected to match confirmed_developer","detail":"Data entry error — claimed was \"ArXiv AI\", corrected to \"East China Normal University\"","source_url":null,"source_name":"stark-raaw"},{"event_type":"first_appearance","event_date":"2026-03-19T00:34:44.271332+00:00","title":"First recorded in AI news","detail":"A new method called VoT is proposed for time series forecasting, which utilizes event-driven reasoning and multi-level alignment to unlock the value of text data. The method combines the information in exogenous text with the reasoning capabilities of LLMs, and employs historical in-context learning and adaptive frequency fusion to maximize the utilization of text.","source_url":"https://arxiv.org/abs/2603.15452","source_name":"ArXiv AI"}],"delta":{"days_unattributed":null,"claimed_developer":"East China Normal University","confirmed_developer":"East China Normal University","match":true}}