RTT UE6 → Benchmarks → TEL

How the Operator Chain Propagates Across the Stack#

This page gives students a single, clean mental model for how RTT operators flow from UE6 runtime surfaces, through Benchmarks, into the Triadic Echo Lattice (TEL).
It corresponds directly to the JSON graph in ue6_cross_module_propagation.json.

1. UE6: Operator Surfaces (Concrete, Visual, Real‑Time)#

UE6 provides the first touchpoint for RTT operators:

• BP_RTT_Primitives → φ, variance, resonance, entropy
• BP_RTT_ResonanceDemo → resonance envelope
• BP_RTT_EntropyDemo → entropy gradients + collapse
• BP_RTT_HybridDemo → hybrid (resonance × entropy)

These Blueprints expose operators as live, inspectable fields through materials, debug draws, and widgets.

Students see the operators moving.

2. Benchmarks: Operator Behavior (Quantitative, Comparable, Stable)#

Each UE6 operator surface maps to one or more Benchmarks, which define:

• stability
• coherence
• envelope shape
• collapse behavior
• cross‑operator interactions

Examples:

• φ → Phi Stability, Emergence Coherence
• variance → Variance Smoothing, Temporal Stability
• resonance → Resonance Envelope, Harmonic Stability
• entropy → Entropy Boundary Detection, Collapse Signature
• hybrid → Hybrid Coherence, Cross‑Operator Stability

Benchmarks turn UE6’s visual fields into measurable operator behavior.

Students see the operators evaluated.

3. TEL: Operator Lattice (Abstract, Structural, Cross‑Module)#

Benchmarks propagate into TEL nodes:

• TEL.Operator.Phi
• TEL.Operator.Variance
• TEL.Resonance.Core
• TEL.Resonance.Harmonics
• TEL.Entropy.Field
• TEL.Entropy.Collapse
• TEL.Hybrid.Operator

TEL is where operators become lattice‑level structures:

• channels
• harmonics
• collapse regimes
• hybrid operators
• cross‑module propagation

Students see the operators formalized.

4. The Whole Chain (One Sentence)#

UE6 shows the operators → Benchmarks measure them → TEL integrates them into the global operator lattice.

5. Why This Matters#

This chain gives students:

• a visual entry point (UE6)
• a quantitative middle layer (Benchmarks)
• a structural, cross‑module abstraction (TEL)

It also gives AIs:

• a reconstructable operator pipeline
• a consistent propagation map
• a shared ontology across modules

This is the core of RTT’s triadic integration pattern.