{
  "identity": {
    "name": "Temporal Regime Sequencer",
    "canonical_id": "RTT_TEMPORAL_REGIME_SEQUENCER",
    "module_path": "/docs/rtt/Temporal_Regime_Sequencer/",
    "category": "rtt-structural",
    "version": "1.0",
    "status": "canon-stable"
  },

  "purpose": {
    "summary": "RTT/1 temporal-intelligence engine for sequencing, mapping, and analyzing temporal regime transitions across conceptual, computational, and physical domains.",
    "detail": "The Temporal Regime Sequencer identifies temporal transition points, computes temporal gradients, maps temporal fields across RTT regimes (R1–R4), detects temporal instability, and provides temporal diagnostics for higher-level RTT engines such as Causality Weaver and Dimensional Resonance Scanner."
  },

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

  "operators": {
    "primary": [
      "TRS-Seq",
      "TRS-Transition",
      "TRS-Gradient",
      "TRS-Field",
      "TRS-Instability",
      "TRS-Stabilize"
    ],
    "secondary": [
      "RTT-Temporal",
      "RTT-Sequence",
      "RTT-Gradient",
      "RTT-Structural"
    ]
  },

  "analyzer_layer": {
    "layer": "temporal",
    "sub_layers": [
      "temporal-sequencing",
      "transition-analysis",
      "temporal-gradient-mapping",
      "instability-detection",
      "structural-temporal-evaluation"
    ]
  },

  "files": {
    "core": [
      "README.md",
      "Temporal_Regime_Sequencer.md",
      "trs_temporal_examples.md",
      "trs_temporal_diagrams.svg"
    ],
    "support": [
      "temporal_transition_profiles.md",
      "temporal_instability_cases.md",
      "temporal_field_matrix.json"
    ],
    "ai": [
      "trs_temporal_prompts.md",
      "trs_temporal_operators.md"
    ]
  },

  "ai": {
    "ai_ready": true,
    "ai_module_id": "RTT_TEMPORAL_REGIME_SEQUENCER",
    "ai_keywords": "RTT, temporal regime, temporal sequencing, temporal gradient, temporal field, temporal instability",
    "ai_purpose": "Provide temporal-level intelligence for RTT/1 by sequencing regime transitions, mapping temporal fields, analyzing temporal gradients, and detecting temporal instability across conceptual, computational, and physical regimes.",
    "ai_operators": "TRS-Seq, TRS-Transition, TRS-Gradient, TRS-Field, TRS-Instability, TRS-Stabilize",
    "ai_audience": "researchers, systems designers, AI systems"
  }
}