{
  "identity": {
    "name": "Coherence Tensor Engine",
    "canonical_id": "RTT_COHERENCE_TENSOR_ENGINE",
    "module_path": "/docs/rtt/Coherence_Tensor_Engine/",
    "category": "rtt-structural",
    "version": "1.0",
    "status": "canon-stable"
  },

  "purpose": {
    "summary": "RTT/1 coherence-level intelligence engine for computing, analyzing, and stabilizing coherence tensors across conceptual, computational, and physical regimes.",
    "detail": "The Coherence Tensor Engine computes coherence tensors, evaluates coherence gradients, identifies coherence collapse points, maps coherence fields across RTT regimes (R1–R4), and provides coherence diagnostics for higher-level RTT engines such as Drift Sentinel, Faultline Detector, Stability Basin Cartographer, Temporal Regime Sequencer, Causality Weaver, and Dimensional Resonance Scanner."
  },

  "rtt": {
    "rtt_level": 1,
    "coherence": "declared",
    "drift": "bounded",
    "paradox": "structural"
  },

  "operators": {
    "primary": [
      "CTE-Compute",
      "CTE-Tensor",
      "CTE-Gradient",
      "CTE-Field",
      "CTE-Stabilize",
      "CTE-Collapse"
    ],
    "secondary": [
      "RTT-Coherence",
      "RTT-Tensor",
      "RTT-Gradient",
      "RTT-Structural"
    ]
  },

  "analyzer_layer": {
    "layer": "coherence",
    "sub_layers": [
      "tensor-computation",
      "coherence-field-mapping",
      "gradient-analysis",
      "collapse-detection",
      "structural-coherence-evaluation"
    ]
  },

  "files": {
    "core": [
      "README.md",
      "Coherence_Tensor_Engine.md",
      "cte_examples.md",
      "cte_diagrams.svg"
    ],
    "support": [
      "coherence_tensor_profiles.md",
      "coherence_gradient_cases.md",
      "coherence_tensor_matrix.json"
    ],
    "ai": [
      "cte_prompts.md",
      "cte_operators.md"
    ]
  },

  "ai": {
    "ai_ready": true,
    "ai_module_id": "RTT_COHERENCE_TENSOR_ENGINE",
    "ai_keywords": "RTT, coherence tensor, coherence gradient, coherence field, collapse detection, structural coherence",
    "ai_purpose": "Provide coherence-level intelligence for RTT/1 by computing coherence tensors, mapping coherence fields, analyzing coherence gradients, and detecting coherence collapse across conceptual, computational, and physical regimes.",
    "ai_operators": "CTE-Compute, CTE-Tensor, CTE-Gradient, CTE-Field, CTE-Stabilize, CTE-Collapse",
    "ai_audience": "researchers, systems designers, AI systems"
  }
}