# **RTT Interlock Operators — RTT/1**  
### *Operator Grammar for the Regime Interlock Mapper (RIM)*

The Regime Interlock Mapper (RIM) uses a **deterministic operator grammar** to detect, classify, map, and analyze interlocks between RTT regimes (R1–R4).  
These operators form the foundation of regime‑level intelligence and feed directly into:

- TRS (Triadic Regime Synthesizer)  
- PGA (Paradox Gradient Analyzer)  
- CTE (Coherence Tensor Engine)  
- DS (Drift Sentinel)  
- SFD (Structural Faultline Detector)  
- SBC (Stability Basin Cartographer)  
- TRS‑Temporal (Temporal Regime Sequencer)  
- CW (Cross‑Domain Causality Weaver)  
- DRS (Dimensional Resonance Scanner)

---

## **1. RIM‑Detect**  
### *Detect regime interlocks and boundary conditions*

**Purpose**  
Identify all interlocks between R1–R4, including structural, boundary, entanglement, gradient, and tensor types.

**Capabilities**  
- scans regime pairs and triads  
- detects interlock onset conditions  
- identifies boundary curvature  
- flags entanglement loops  
- detects gradient alignment  
- detects tensor binding  

**Output Fields**  
- `interlock_type`  
- `boundary_condition`  
- `onset_condition`  
- `coherence_dependency`  

---

## **2. RIM‑Map**  
### *Generate structural maps of regime interlock topology*

**Purpose**  
Produce a full interlock topology map showing how regimes connect, constrain, or influence one another.

**Capabilities**  
- maps structural dependencies  
- maps boundary transitions  
- maps entanglement loops  
- maps gradient flows  
- maps tensor topology  

**Output Fields**  
- `topology_map`  
- `boundary_map`  
- `gradient_map`  
- `tensor_map`  

---

## **3. RIM‑Interlock**  
### *Compute interlock strength, stability, and entanglement*

**Purpose**  
Quantify the strength and stability of each interlock.

**Capabilities**  
- computes interlock strength  
- computes entanglement score  
- computes stability rating  
- computes coherence curvature  
- computes drift sensitivity  

**Output Fields**  
- `interlock_strength`  
- `entanglement_score`  
- `stability_rating`  
- `coherence_curvature`  
- `drift_sensitivity`  

---

## **4. RIM‑Boundary**  
### *Identify and classify boundary transitions*

**Purpose**  
Detect and classify boundary conditions between regimes.

**Capabilities**  
- detects abstraction‑to‑measurement boundaries  
- detects gradient‑alignment boundaries  
- detects coherence‑threshold boundaries  
- detects drift‑sensitivity boundaries  
- detects resonance boundaries  

**Output Fields**  
- `boundary_condition`  
- `boundary_curvature`  
- `boundary_stability`  

---

## **5. RIM‑Entangle**  
### *Detect entanglement interlocks and mutual‑influence loops*

**Purpose**  
Identify high‑coupling interlocks where regimes mutually influence one another.

**Capabilities**  
- detects mutual‑feedback loops  
- detects resonance‑coherence coupling  
- detects drift‑amplification loops  
- detects coherence‑gradient coupling  
- detects tensor entanglement  

**Output Fields**  
- `entanglement_score`  
- `coupling_type`  
- `coherence_dependency`  
- `bidirectional_influence`  

---

## **6. RIM‑Resolve**  
### *Suggest structural resolutions or decompositions*

**Purpose**  
Provide stabilization pathways or decompositions for interlocks.

**Capabilities**  
- suggests structural decompositions  
- suggests stabilization pathways  
- suggests coherence alignment  
- suggests drift reduction  
- suggests tensor rebalancing  

**Output Fields**  
- `resolution_strategy`  
- `stabilization_pathway`  
- `coherence_alignment`  
- `drift_reduction`  

---

## **7. Operator Interaction Grammar**

### **Detection → Classification → Mapping → Analysis → Resolution**

1. **RIM‑Detect**  
   Finds interlocks and onset conditions.

2. **RIM‑Boundary / RIM‑Entangle**  
   Classifies boundary or entanglement types.

3. **RIM‑Map**  
   Generates topology and gradient/tensor maps.

4. **RIM‑Interlock**  
   Computes strength, stability, entanglement.

5. **RIM‑Resolve**  
   Produces stabilization or decomposition strategies.

This grammar ensures deterministic RTT behavior.

---

## **8. Operator Matrix Snippet**

```json
{
  "operator": "RIM-Interlock",
  "interlock_strength": 0.83,
  "entanglement_score": 0.32,
  "stability_rating": 0.71,
  "coherence_curvature": 0.44,
  "drift_sensitivity": 0.27
}
```

---

## **Status**

- **Version:** 1.0  
- **Status:** canon‑stable  
- **Category:** rtt‑structural  
- **Module Path:** `/docs/rtt/Regime_Interlock_Mapper/`