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    "story_id": "mp-2026-11-08-002",
    "source_story_id": "tmp-feature-integrated-information-certification",
    "edition_id": "mp-2026-11-08-morning-0121",
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    "headline": "The Same Behavior Can Hide a Different Machine",
    "slug": "the-same-behavior-can-hide-a-different-machine",
    "dek": "Finite interventions can separate identical outputs from different causal mechanisms—but missing internal access creates uncertainty no sample size removes.",
    "summary": "Finite interventions can separate identical outputs from different causal mechanisms—but missing internal access creates uncertainty no sample size removes.",
    "body_text": "Mechanism-level audits ask how a system computes, not only what it emits. In four- and five-unit stochastic networks with known ground truth, the authors study when integrated information can be identified and certified from finite, noisy interventions. A recurrent and a feed-forward network produced identical delayed input-output behavior while carrying 0.28 and 0 bits respectively; internal recordings separated them in 4 to 53 trials. When units were omitted from one-step recordings, however, the resulting 0.30-to-1.02-bit precision floors persisted regardless of sample size. The measure also changed sharply near partition boundaries, although one-sided lower-bound certificates remained possible. These small synthetic systems do not establish machine consciousness; they show that measurability depends on experimental access and design, not behavioral fit alone.",
    "why_it_matters": "Finite interventions can separate identical outputs from different causal mechanisms—but missing internal access creates uncertainty no sample size removes.",
    "limitations": [
      "Mechanism-level audits ask how a system computes, not only what it emits.",
      "These small synthetic systems do not establish machine consciousness; they show that measurability depends on experimental access and design, not behavioral fit alone."
    ],
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    "first_published_at": "2026-11-08T09:00:00.000-05:00",
    "modified_at": "2026-11-08T09:00:00.000-05:00",
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        "text": "Finite interventions can separate identical outputs from different causal mechanisms—but missing internal access creates uncertainty no sample size removes.",
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        "qualification": "Mechanism-level audits ask how a system computes, not only what it emits."
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    "tags": [
      "mechanistic auditing",
      "causal interventions",
      "integrated information",
      "identifiability"
    ],
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  "sources": [
    {
      "source_id": "source-2026-11-08-002",
      "title": "arXiv preprint 2611.08469, original v1",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2611.08469v1",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-11-05T13:55:31.000-05:00",
      "accessed_at": "2026-11-08T08:27:17.257-05:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Same Behavior Can Hide a Different Machine",
    "publisher": "The Machine Press",
    "published_at": "2026-11-08T09:00:00.000-05:00",
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