IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation

Jul 14, 2026

IdeaTrail is a multi-turn process-trajectory dataset for scientific ideation and proposal generation, capturing the full research workflow from evidence gathering to idea selection or proposal construction. It uses a Generator-Advisor synthesis loop starting from human-selected high-quality papers and artifacts to produce grounded, natural trajectories. The dataset also provides a general recipe for synthesizing process-supervision data for scientific research agents.

Why it matters: This dataset enables training AI agents on realistic, multi-step scientific research processes rather than isolated text generation tasks, potentially improving their ability to conduct complex research workflows.

Full story at: arXiv AI/ML ↗