The LEAD framework uses short-horizon future validation to stop irreversible errors in LLM reasoning. Researchers at Apple found that extreme task decomposition creates a recovery bottleneck where a few hard steps break the entire chain. This method stabilizes long-horizon execution. Practitioners can now reduce failure rates in complex algorithmic puzzles.