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VITA (Value-Informed Semantic Trust Arbitration), a learned seven-field appraisal interface that conditions modality arbitration on concerns, event relations, and expression conditions while retaining a joint-evidence residual, is introduced.
HiMPO, a Hindsight-Informed Memory Policy Optimization framework for assigning less-entangled credit to memory-writing actions in long-horizon agents, improves over strong memory-based and RL-based baselines while preserving compressed-context efficiency.
Hindsight Entropy-Assisted Learning (HEAL), an RL-free framework designed to bridge this reasoning gap, is proposed and extensive experiments demonstrate that HEAL significantly outperforms traditional SFT distillation and other baselines.
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