Reach or Solve? Attributing Agentic RL Gains with Checkpoint Handoffs

A method for attributing performance gains in agentic reinforcement learning to either improved capability or increased task reach, with implications for evaluating AI agent progress.

Auto-scored: A technical research paper on RL evaluation methodology with no direct risk or mitigation implications.