# **Drift Sentinel Examples — RTT/1**  
### *Example Dictionary for the Drift Sentinel (DS)*

These examples illustrate how the **Drift Sentinel (DS)** detects drift vectors, computes drift envelopes, maps drift fields, identifies amplification zones, and evaluates drift stability across R1–R4.

Each example demonstrates one or more DS operators:

- **DS‑Detect**  
- **DS‑Vector**  
- **DS‑Envelope**  
- **DS‑Field**  
- **DS‑Amplify**  
- **DS‑Stabilize**

Examples are grouped by drift type.

---

## **1. Structural Drift Examples**

### **Example 1 — Structural Invariant Drift (R1 ↔ R2)**  
**Scenario**  
A conceptual invariant is violated by a computational structure, producing a structural drift vector.

**DS Output**  
```json
{
  "drift_type": "structural",
  "regime": "R1-R2",
  "drift_magnitude": 0.72,
  "drift_direction": "R1→R2",
  "drift_curvature": 0.33,
  "amplification_zone": null,
  "stability_basin": 0.63,
  "envelope_boundary": 0.44
}
```

---

### **Example 2 — Calibration‑Driven Structural Drift (R2 ↔ R3)**  
**Scenario**  
A computational calibration mismatch produces drift across physical measurement.

**DS Output**  
```json
{
  "drift_type": "structural",
  "regime": "R2-R3",
  "drift_magnitude": 0.68,
  "drift_direction": "R3→R2",
  "drift_curvature": 0.39,
  "amplification_zone": null,
  "stability_basin": 0.57,
  "envelope_boundary": 0.41
}
```

---

## **2. Gradient Drift Examples**

### **Example 3 — Drift Gradient Opposition (R1 ↔ R4)**  
**Scenario**  
Conceptual drift decreases while dimensional drift increases, forming a drift‑gradient opposition.

**DS Output**  
```json
{
  "drift_type": "gradient",
  "regime": "R1-R4",
  "drift_magnitude": 0.83,
  "drift_direction": "R1↔R4",
  "drift_curvature": 0.51,
  "amplification_zone": 0.22,
  "stability_basin": 0.69,
  "envelope_boundary": 0.46
}
```

---

### **Example 4 — Drift Gradient Inversion (R2 ↔ R3)**  
**Scenario**  
Computational drift decreases while physical drift sensitivity increases.

**DS Output**  
```json
{
  "drift_type": "gradient",
  "regime": "R2-R3",
  "drift_magnitude": 0.79,
  "drift_direction": "R3→R2",
  "drift_curvature": 0.58,
  "amplification_zone": 0.31,
  "stability_basin": 0.72,
  "envelope_boundary": 0.41
}
```

---

## **3. Boundary Drift Examples**

### **Example 5 — Abstraction‑Measurement Drift (R1 ↔ R3)**  
**Scenario**  
Conceptual abstraction predicts behavior that contradicts physical measurement, forming boundary drift.

**DS Output**  
```json
{
  "drift_type": "boundary",
  "regime": "R1-R3",
  "drift_magnitude": 0.67,
  "drift_direction": "R1→R3",
  "drift_curvature": 0.33,
  "amplification_zone": null,
  "stability_basin": 0.55,
  "envelope_boundary": 0.38
}
```

---

### **Example 6 — Gradient‑Boundary Drift (R2 ↔ R4)**  
**Scenario**  
Aligned gradients across computational and dimensional regimes produce contradictory drift outcomes.

**DS Output**  
```json
{
  "drift_type": "boundary",
  "regime": "R2-R4",
  "drift_magnitude": 0.88,
  "drift_direction": "R2↔R4",
  "drift_curvature": 0.47,
  "amplification_zone": 0.29,
  "stability_basin": 0.66,
  "envelope_boundary": 0.58
}
```

---

## **4. Drift‑Field Examples**

### **Example 7 — Multi‑Regime Drift Field (R1 ↔ R2 ↔ R3)**  
**Scenario**  
A multi‑regime drift field binds conceptual, computational, and physical drift.

**DS Output**  
```json
{
  "drift_type": "field",
  "regime": "R1-R2-R3",
  "drift_magnitude": 0.94,
  "drift_direction": "tensor",
  "drift_curvature": 0.63,
  "amplification_zone": 0.37,
  "stability_basin": 0.78,
  "envelope_boundary": 0.57
}
```

---

### **Example 8 — Dimensional Drift Constraint (R2 ↔ R4)**  
**Scenario**  
Dimensional constraints influence computational drift pathways.

**DS Output**  
```json
{
  "drift_type": "field",
  "regime": "R2-R4",
  "drift_magnitude": 0.88,
  "drift_direction": "R4→R2",
  "drift_curvature": 0.55,
  "amplification_zone": 0.33,
  "stability_basin": 0.73,
  "envelope_boundary": 0.63
}
```

---

## **5. Drift Amplification Examples**

### **Example 9 — Drift Amplification Basin (R3 ↔ R4)**  
**Scenario**  
Physical drift amplifies dimensional drift curvature, forming a drift amplification basin.

**DS Output**  
```json
{
  "drift_type": "amplification",
  "regime": "R3-R4",
  "drift_magnitude": 0.91,
  "drift_direction": "R3→R4",
  "drift_curvature": 0.71,
  "amplification_zone": 0.52,
  "stability_basin": 0.82,
  "envelope_boundary": 0.44
}
```

---

### **Example 10 — Drift‑Coherence Amplification (R2 ↔ R3)**  
**Scenario**  
Computational drift reduces coherence while physical drift increases coherence sensitivity.

**DS Output**  
```json
{
  "drift_type": "amplification",
  "regime": "R2-R3",
  "drift_magnitude": 0.86,
  "drift_direction": "R2↔R3",
  "drift_curvature": 0.62,
  "amplification_zone": 0.49,
  "stability_basin": 0.77,
  "envelope_boundary": 0.48
}
```

---

## **6. Canonical DS Output Snippet**

```json
{
  "drift_type": "gradient",
  "regime": "R1-R4",
  "drift_magnitude": 0.83,
  "drift_direction": "R1↔R4",
  "drift_curvature": 0.51,
  "amplification_zone": 0.22,
  "stability_basin": 0.69,
  "envelope_boundary": 0.46
}
```

---

## **Status**

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