{
  "identity": {
    "name": "Cross-Domain Causality Weaver",
    "canonical_id": "RTT_CROSS_DOMAIN_CAUSALITY_WEAVER",
    "module_path": "/docs/rtt/Cross_Domain_Causality_Weaver/",
    "category": "rtt-structural",
    "version": "1.0",
    "status": "canon-stable"
  },

  "purpose": {
    "summary": "RTT/1 causality-intelligence engine for detecting, mapping, and weaving causal pathways across conceptual, computational, physical, and dimensional regimes.",
    "detail": "The Cross-Domain Causality Weaver identifies causal signatures, computes causal vectors, maps causal fields across RTT regimes (R1–R4), detects causal discontinuities, and provides causal diagnostics for higher-level RTT engines such as Dimensional Resonance Scanner."
  },

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

  "operators": {
    "primary": [
      "CW-Weave",
      "CW-Vector",
      "CW-Field",
      "CW-Signature",
      "CW-Discontinuity",
      "CW-Stabilize"
    ],
    "secondary": [
      "RTT-Causality",
      "RTT-Vector",
      "RTT-Field",
      "RTT-Structural"
    ]
  },

  "analyzer_layer": {
    "layer": "causality",
    "sub_layers": [
      "causal-weaving",
      "causal-vector-analysis",
      "causal-field-mapping",
      "discontinuity-detection",
      "structural-causality-evaluation"
    ]
  },

  "files": {
    "core": [
      "README.md",
      "Cross_Domain_Causality_Weaver.md",
      "cw_examples.md",
      "cw_diagrams.svg"
    ],
    "support": [
      "causal_profiles.md",
      "causal_discontinuity_cases.md",
      "causal_field_matrix.json"
    ],
    "ai": [
      "cw_prompts.md",
      "cw_operators.md"
    ]
  },

  "ai": {
    "ai_ready": true,
    "ai_module_id": "RTT_CROSS_DOMAIN_CAUSALITY_WEAVER",
    "ai_keywords": "RTT, causality weaver, causal vector, causal field, causal discontinuity, cross-domain causality",
    "ai_purpose": "Provide causality-level intelligence for RTT/1 by weaving causal pathways, computing causal vectors, mapping causal fields, and detecting causal discontinuities across conceptual, computational, physical, and dimensional regimes.",
    "ai_operators": "CW-Weave, CW-Vector, CW-Field, CW-Signature, CW-Discontinuity, CW-Stabilize",
    "ai_audience": "researchers, systems designers, AI systems"
  }
}