Scaling Agentic Data for Long-Horizon Professional Tasks

This research addresses the limitations of short-trajectory agent data by focusing on long-horizon trajectories that capture evidence accumulation, strategy adjustment, and verification. It argues that current environment synthesis often bypasses the essential exploration and implementation steps required for true autonomous work.