BELIEFWEAVER, a framework for long-horizon AI agents, combines persistent evidence across attempts with prospective reasoning over repair directions to address failures whose causes lie several steps earlier than local reflection or backtracking can resolve. The framework targets recovery from failures that occur beyond the reach of existing local reflection methods.
Long-horizon agents often struggle to recover from failures whose causes lie several steps earlier, beyond what local reflection or backtracking can resolve. We introduce BELIEFWEAVER, a framework that combines persistent evidence across attempts with prospective reasoning over repair directions. It
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