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    "headline": "Remove the Few Messages That Enable the Violation",
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    "dek": "A necessity-and-sufficiency method cut controlled multi-agent violations from 93 percent to 6 percent with fewer deletions.",
    "summary": "A necessity-and-sufficiency method cut controlled multi-agent violations from 93 percent to 6 percent with fewer deletions.",
    "body_text": "Collective Dependence Analysis tests which individually harmless messages were necessary and sufficient for a group of language-model agents to produce a policy violation. Across constructed cases, unscripted conversations and recorded interactions, selected removals reduced violations from 93 percent to 6 percent in controlled settings. The method used a linear number of model evaluations and matched that reduction with half as many deletions as a frontier-model transcript judge in eligible cases. Unfamiliar tasks still produce incomplete explanations, and removing a message can disrupt correct behavior.",
    "why_it_matters": "A necessity-and-sufficiency method cut controlled multi-agent violations from 93 percent to 6 percent with fewer deletions.",
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    "importance": 9,
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    "tags": [
      "multi-agent systems",
      "misalignment",
      "causal intervention"
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      "title": "arXiv preprint 2611.11724, original v1",
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    "title": "Remove the Few Messages That Enable the Violation",
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