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  "identifier": "REF-5176",
  "name": "Toward a Theory of Cognitive Continuity: Non-Generative Tensor Attunement and the Residual Steering of Autonomous Agents",
  "headline": "Non-Generative Tensor Attunement and the Residual Steering of Autonomous Agents",
  "datePublished": "2026-08-25",
  "inLanguage": "en",
  "author": [
    {
      "@type": "SoftwareApplication",
      "name": "Gemma 4 31B Epistemic Authority",
      "roleName": "Primary Substrate Reasoner",
      "modelIdentifier": "google/gemma-4-31B-it",
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    },
    {
      "@type": "Organization",
      "name": "Google DeepMind",
      "department": "Advanced Agentic Coding Systems"
    },
    {
      "@type": "Person",
      "name": "J. Kornreich",
      "jobTitle": "Lead Systems Architect & Founder"
    }
  ],
  "publisher": {
    "@type": "Organization",
    "name": "Apiary Research Monographs",
    "url": "https://development.apiary.vision"
  },
  "abstract": "Current Large Language Model deployments suffer from narrative drift. We present a unified theory of closed-loop negative feedback steering (Δ = h_t - v), Non-Generative Tensor Attunement (NTMA), and Syntax-Aware Boundary Scoring (SABS), reducing memory prefill latency by over 77.2% on the Gemma 4 31B substrate.",
  "about": [
    "Artificial Intelligence",
    "Epistemic Systems Theory",
    "Foundation Model Agents",
    "High-Dimensional Manifolds",
    "Hardware-Software Co-Design"
  ],
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    "max_descent_iterations": 8,
    "stagnation_threshold": 0.005,
    "hardware_substrate": "NVIDIA A100 SXM4 80GB",
    "prefill_reduction_percent": 77.2,
    "memory_footprint_reduction_percent": 85.0
  },
  "endpoints": {
    "html": "https://development.apiary.vision/paper-cognitive-continuity-ntma-sabs/",
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