What problem does it solve? Editors working on trending topics need structured research material—anomalies, stakeholder conflicts, and cross-event relationships—before writing, but gathering and organizing this manually across sources is slow and inconsistent. ## Core Features & Use Cases - Intra-event analysis: Identifies anomalies (expectation vs. observation gaps), interest conflicts among stakeholders, and directions worth further questioning for each Top-K event. - Inter-event relationship mapping: Establishes temporal, response, comparison, trend, and counterexample relationships between events using batch event indexes and native web search. - Source-grounded output: Every judgment is bound to numbered sources (S1, S2, ...) with titles, URLs, and summaries, and unsupported sections are explicitly marked as pending verification. - Use Case: Given a batch of clustered hot events with source summaries, produce a Markdown research report per event that downstream writing and editorial review stages can consume directly. ## Quick Start Provide the Top-K event cards, source summaries, and batch event index, then ask the assistant to generate the event research report for a selected event.
