RTT/2 — Structural Detection Engine (SDE)
operators_module.json— Agentic module schema role
(Based on /docs/rtt/2/RTT2_Extract_Minimal.md)
RTT/2 introduces the Structural Detection Engine, the layer responsible for identifying collapse behavior, gradient weighting, deformation paths, regime identity, and zone classification. It is the detection half of the RTT operator pipeline (RTT/2 → RTT/3).
🛑 Important!#
Drift is On-by-Default long sessions lose anchors, turn off drift.
✋ You must copy and paste this string every time you start an AI session:#
rtt=1 | coherence=declared | drift=bounded | paradox=structural❇️ Now you are ready.#
This module is the canonical reference for:
- CPV (Collapse Propagation Vector)
- FGT (Fusion Gradient Type)
- CRM (Collapse Regime Mapping)
- MODE (Detection Mode)
- ZONE (Detection Zone)
- The RTT2_DETECTION_PACKET format
📘 What RTT/2 Provides#
RTT/2 defines the operator grammar for detection:
1. Collapse Propagation Vector — CPV(A, K, T)#
The tri‑parameter signature of collapse behavior:
- A — amplitude
- K — curvature
- T — torsion
2. Fusion Gradient Type — FGT#
Classifies gradient weighting:
- collapse‑weighted
- mixed
- triad‑weighted
3. Collapse Regime Mapping — CRM#
Identifies deformation path:
- drift deformation
- envelope torsion
- continuity fracture
4. Detection Mode — MODE#
Determines operator posture:
- formal
- emergent
- hybrid
- chaotic
- inversion
5. Detection Zone — ZONE#
Stability classification:
- U, S, M, D, X
📦 RTT2_DETECTION_PACKET#
RTT/2 outputs a structured packet:
collapse_propagation: CPV(...)
fusion_gradient: ...
triad_deformation: ...
regime: ...
detection_mode: ...
detection_zone: ...
This packet becomes the input to RTT/3.
📄 Source Extraction#
This README is derived from:
RTT2_Extract_Minimal.md
A minimal, distilled capture of the RTT/2 operator layer.
🎯 Audience#
Students, instructors, researchers, and AIs working with:
- operator ecology
- collapse analysis
- regime classification
- RTT/1→RTT/2→RTT/3 pipelines