{
  "module": "information_theory",
  "version": "1.0",
  "identity": "distinction-first coherence grammar",
  "description": "Simulation hooks for distinction initialization, coherence evaluation, signal operators, and regime-aware information dynamics.",

  "hooks": {
    "initialize_distinction_space": {
      "purpose": "Create the base distinction space for all information operations.",
      "inputs": ["dimensional_profile", "primitive_distinctions"],
      "outputs": ["distinction_space"],
      "constraints": [
        "no semantic assumptions",
        "no probabilistic assumptions",
        "distinctions must be structurally valid"
      ]
    },

    "construct_signal_operator": {
      "purpose": "Define a signal as an operator acting on distinction space.",
      "inputs": ["operator_signature", "distinction_space"],
      "outputs": ["signal_operator"],
      "constraints": [
        "signals are operators, not messages",
        "operators must preserve distinction integrity"
      ]
    },

    "compute_information_coherence": {
      "purpose": "Evaluate coherence of distinctions under operator action.",
      "inputs": ["distinction_space", "signal_operator"],
      "outputs": ["coherence_score"],
      "constraints": [
        "coherence = distinction stability",
        "no entropy or probability required",
        "coherence must be structural"
      ]
    },

    "apply_signal_operator": {
      "purpose": "Apply a signal operator to a distinction space.",
      "inputs": ["signal_operator", "distinction_space"],
      "outputs": ["updated_distinction_space", "operator_trace"],
      "constraints": [
        "operator must not collapse distinctions",
        "operator_trace must be monotonic across regimes"
      ]
    },

    "evaluate_distinction_integrity": {
      "purpose": "Check whether distinctions remain valid after operator action.",
      "inputs": ["updated_distinction_space"],
      "outputs": ["integrity_report"],
      "constraints": [
        "distinctions must remain non-degenerate",
        "dimensional profile must remain consistent"
      ]
    },

    "compute_distinction_distance": {
      "purpose": "Measure structural distance between distinctions.",
      "inputs": ["distinction_A", "distinction_B"],
      "outputs": ["distance_metric"],
      "constraints": [
        "distance is structural, not probabilistic",
        "metric must be regime-stable"
      ]
    },

    "regime_transition": {
      "purpose": "Transition distinction behavior across RTT regimes.",
      "inputs": ["distinction_space", "from_regime", "to_regime"],
      "outputs": ["transitioned_distinction_space"],
      "constraints": [
        "R0: primitive distinctions only",
        "R1: stable distinctions",
        "R2: operator geometry active",
        "R3: dimensional operators modify distinctions",
        "transitions must preserve coherence"
      ]
    },

    "detect_collapse_mode": {
      "purpose": "Classify distinction failures.",
      "inputs": ["distinction_space"],
      "outputs": ["collapse_mode"],
      "modes": {
        "C1": "distinction ambiguity",
        "C2": "dimensional inconsistency",
        "C3": "operator instability",
        "C4": "coherence failure"
      }
    },

    "reinforce_distinction_structure": {
      "purpose": "Strengthen distinctions through repeated stable operator action.",
      "inputs": ["distinction_space", "operator_history"],
      "outputs": ["reinforced_distinction_space"],
      "constraints": [
        "reinforcement is structural, not semantic",
        "reinforcement must increase coherence"
      ]
    }
  }
}