Cumulative Reasoning is an advanced technique where multiple LLM components work together: a proposer suggests reasoning steps, a verifier checks validity, and a reporter determines when enough reasoning has accumulated to answer. This mimics how humans build understanding incrementally.
Unlike single-pass reasoning, CR accumulates verified insights over multiple iterations until confident in the answer.