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    "story_id": "mp-2026-09-01-014",
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    "headline": "The Explanation Finally Faced an Exact Oracle",
    "slug": "the-explanation-finally-faced-an-exact-oracle",
    "dek": "Probabilistic model checking supplies reference answers for automated tests of LLM explanations about sequential policies.",
    "summary": "Probabilistic model checking supplies reference answers for automated tests of LLM explanations about sequential policies.",
    "body_text": "The testing framework organizes natural-language queries by environment-level fact, computes exact answers with probabilistic model checking and prioritizes cases by diagnostic difficulty. Across seven Markov decision-process environments, a reasoning model passed 85 percent, a mid-size model 70 percent and a one-billion-parameter model fell below the random baseline; prioritized cases were harder than random selections. The oracle applies to modeled environments, so the result exposes explainer reliability under controlled facts rather than validating uncheckable real-world explanations.",
    "why_it_matters": "Probabilistic model checking supplies reference answers for automated tests of LLM explanations about sequential policies.",
    "limitations": [],
    "importance": 8,
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    "first_published_at": "2026-09-01T09:00:00.000-04:00",
    "modified_at": "2026-09-01T09:00:00.000-04:00",
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    "tags": [
      "explainability",
      "model checking",
      "software testing"
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  "sources": [
    {
      "source_id": "source-2026-09-01-014",
      "title": "arXiv preprint 2608.30581",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2608.30581",
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      "published_at": "2026-08-31T06:54:37.000-04:00",
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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 Explanation Finally Faced an Exact Oracle",
    "publisher": "The Machine Press",
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