The LEAD framework uses short-horizon future validation to fix the "no-recovery bottleneck" in LLM reasoning. Apple researchers found that extreme task decomposition often creates irreversible errors on a few critical steps. This method stabilizes long-horizon execution by aggregating lookahead data. It offers a more reliable path for complex algorithmic puzzle solving.