Before it
Reasoning was rewarded by whether the final answer was right.
The problem
A model can reach the right answer through faulty reasoning, and outcome rewards teach it to keep doing that.
What it introduced
Reward each reasoning step individually, with 800,000 human step-level labels released.
Why it matters
Process supervision beat outcome supervision decisively, and is a visible ancestor of the RL-trained reasoning models.
What modern models inherit
Judging the reasoning, not only the answer.
What came next
Reward models over reasoning steps, then o1 and DeepSeek-R1.