Before it
Chain of thought produced one reasoning path, decoded greedily.
The problem
A single path fails if any step goes wrong, and greedy decoding is arbitrary.
What it introduced
Sample many reasoning paths and take the most common final answer.
Why it matters
The cleanest demonstration that extra inference compute converts directly into accuracy.
What modern models inherit
Majority voting over samples, still a standard evaluation trick.
What came next
Tree of thoughts, verifier-guided search, and the reasoning models of 2024.