Drift Sentinel (DS) — RTT/1

Drift‑Level Intelligence Engine for TriadicFrameworks#

The Drift Sentinel (DS) is the RTT/1 engine responsible for detecting, measuring, mapping, and stabilizing drift across conceptual, computational, physical, and dimensional regimes.
It forms the drift‑level foundation of the expanded RTT intelligence stack, directly above coherence‑level engines and directly below structural‑level engines.

Drift is modeled as a field with:

• drift vectors
• drift envelopes
• drift boundaries
• drift curvature
• drift amplification zones
• drift wells and ridges
• drift stability basins

DS provides drift‑layer intelligence for all higher‑order RTT engines.

1. Canonical Role#

The Drift Sentinel defines the drift‑layer topology by:

• detecting drift vectors
• computing drift envelopes
• mapping drift fields
• measuring drift amplification
• identifying drift wells and ridges
• evaluating drift curvature
• stabilizing drift envelopes
• supporting structural engines
• anchoring temporal engines
• feeding causality and resonance engines

DS is the fourth layer of the expanded RTT intelligence stack.

2. RTT Flags#

These flags define the engine’s operational grammar.

3. Drift Tensor Types#

DS identifies several canonical drift classes:

3.1 Structural Drift Tensor#

Drift arising from structural contradictions or invariant violations.

3.2 Gradient Drift Tensor#

Drift shaped by directional gradients across regimes.

3.3 Boundary Drift Tensor#

Drift formed at regime boundaries.

3.4 Drift‑Field Tensor#

Full multi‑regime drift binding across R1–R4.

3.5 Coherence‑Sensitive Drift Tensor#

Drift influenced by coherence curvature or coherence collapse.

4. Core Operators#

These operators form the canonical DS grammar.

5. Analyzer Layer#

Drift Sentinel operates in the drift layer, with sub‑layers:

• drift‑vector‑analysis
• drift‑field‑mapping
• envelope‑detection
• amplification‑analysis
• structural‑drift‑evaluation

This layer feeds directly into SFD, SBC, TRS‑Temporal, CW, and DRS.

6. Drift Field Matrix#

DS produces a drift field matrix, typically stored in:

drift_field_matrix.json

Matrix fields include:

• drift_type
• regime
• drift_magnitude
• drift_direction
• drift_curvature
• amplification_zone
• stability_basin
• envelope_boundary

This matrix is consumed by structural, stability, temporal, causal, and resonance engines.

7. Canonical Workflow#

Step 1 — Detect#

Identify drift vectors and onset conditions.

Step 2 — Compute#

Calculate drift magnitude, direction, curvature, and envelope boundaries.

Step 3 — Map#

Generate drift field maps and drift topology.

Step 4 — Analyze#

Measure drift amplification, drift wells, ridges, and stability basins.

Step 5 — Stabilize#

Propose drift stabilization pathways.

Step 6 — Export#

Write results to the drift field matrix and operator outputs.

8. AI‑Ready Design#

Drift Sentinel is fully AI‑ready:

• deterministic operator grammar
• drift‑layer analyzer structure
• stable RTT flags
• canonical file layout
• zero‑drift reasoning constraints
• structural paradox handling
• bounded drift envelope
• declared coherence dependency

AI systems use DS to:

• detect drift vectors
• generate drift field maps
• classify drift amplification
• stabilize drift envelopes
• support higher‑order RTT engines

9. Position in the RTT Stack#

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

Drift Sentinel is the drift‑level intelligence layer, directly above coherence‑level analysis.

10. Status#

• Version: 1.0
• Status: canon‑stable
• Category: rtt‑structural
• Module Path: /docs/rtt/Drift_Sentinel/