The LEAD framework uses short-horizon future validation to solve the "no-recovery bottleneck" in LLM reasoning. Apple researchers found that extreme task decomposition often creates irreversible errors on specific hard steps. This method aggregates future state checks to prevent these failures. It provides a concrete path toward stable execution in complex, multi-step algorithmic puzzles.