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    "headline": "The Swarm Stops Writing Down Every Thought",
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    "dek": "Hundreds of low-cost agents exchange latent KV caches and select novel hidden-state directions for evolutionary program search.",
    "summary": "Hundreds of low-cost agents exchange latent KV caches and select novel hidden-state directions for evolutionary program search.",
    "body_text": "SwarmEvolve organizes agents into groups that reason without decoding every intermediate step to text. A novelty filter measures distances between hidden states, while a summarizer receives combined KV caches to perform crossover. Across 21 mathematical-discovery and scientific-computing problems, the authors report the highest average score and a median 3 to 8 minutes to reach scores other frameworks needed 60 minutes to match. The comparison is limited to the tested problems, models and budgets.",
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    "tags": [
      "agent swarms",
      "latent reasoning",
      "evolutionary search"
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      "source_id": "source-2026-11-06-003",
      "title": "arXiv preprint 2611.08483, original v1",
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      "published_at": "2026-11-05T13:59:29.000-05:00",
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    "name": "The Machine Press",
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    "description": "A daily newspaper for the age of artificial intelligence."
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    "title": "The Swarm Stops Writing Down Every Thought",
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