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A deliberately high-entropy generating agent produces speculative, hallucination-tolerant output; a web-grounded evaluating agent tests it against external evidence; and a low-entropy semantic bottleneck between them filters noise and repetition, so the system harvests the creative tail of a model's distribution while keeping only hypotheses that survive grounding.
Source: https://arxiv.org/abs/2608.19206