Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution 事件

Design and Evaluation of Multi-Agent AI Oracle Systems for Prediction Market Resolution arXiv:2605.30802v1 Announce Type: cross Abstract: Prediction markets aggregate collective intelligence to forecast uncertain events, but their utility depends on reliable outcome resolution. Existing oracle systems tradeoff fast but brittle automation against accurate but costly human arbitration. Single-LLM oracles achieve meaningful accuracy but inherit all failure modes of their underlying model with no s