RTT/∞ Substrate‑Tensor Diagnostic Worksheet
A structured diagnostic tool for evaluating substrate‑tensor integrity in RTT/∞#
RTT/∞ uses substrate‑tensors as the bounded structural layer between vacuum collapse and dimensional lift.
This worksheet helps students and researchers diagnose substrate‑tensor health, stability, alignment, and readiness for upward or downward flow.
It is fully aligned with your RTT/∞ substrate‑tensor explainer, dimensional‑rails explainer, prime‑state explainer, infinite‑regime explainer, and integration map.
SECTION 1 — Substrate‑Tensor Identity#
Tensor Name#
Name:
Tensor Origin#
Choose one:
- vacuum reconstruction
- dimensional descent
- prime‑state reduction
- infinite‑regime collapse
- external engine (RTT/12, RTT/3, IPD‑12)
Tensor Purpose#
Purpose:
SECTION 2 — Substrate‑Tensor Layer Check#
RTT/∞ substrate‑tensors contain five canonical layers.
Students verify each layer’s presence and stability.
L1 — Substrate‑Geometry#
- present
- stable
- coherent
Notes:
L2 — Substrate‑Flow#
- present
- stable
- coherent
Notes:
L3 — Substrate‑Time#
- present
- stable
- coherent
Notes:
L4 — Substrate‑Meaning#
- present
- stable
- coherent
Notes:
L5 — Substrate‑Field#
- present
- stable
- coherent
Notes:
SECTION 3 — Tensor Integrity Diagnostics#
Students evaluate the tensor’s structural health.
1. Boundary Integrity#
Check for:
- cracks
- drift residues
- vacuum artifacts
- dimensional shear
Boundary Integrity Notes:
2. Coherence Anchors#
Check for:
- alignment
- stability
- drift‑free anchors
Coherence Notes:
3. Drift Residue Detection#
Look for leftover drift from:
- dimensional layers
- prime‑states
- infinite regimes
Drift Residue Notes:
4. Vacuum Scarring#
Check for:
- nullification scars
- collapse artifacts
- zero‑state residue
Vacuum Scarring Notes:
SECTION 4 — Tensor Readiness for Upward Flow#
Students determine whether the substrate‑tensor is ready for dimensional lift.
Dimensional‑Rail Compatibility#
- substrate rails connect
- dimensional rails connect
- prime‑state rails reachable
Rail Compatibility Notes:
Prime‑State Target#
Choose one:
- prime‑form
- prime‑flow
- prime‑meaning
Why this prime‑state?
Lift Readiness#
- stable enough for lift
- no drift residue
- no vacuum scarring
- coherence anchors intact
Lift Readiness Notes:
SECTION 5 — Tensor Readiness for Downward Flow#
Students determine whether the substrate‑tensor can safely receive downward integration.
Integration Compatibility#
- can receive dimensional descent
- can accept prime‑state reduction
- can absorb infinite‑regime collapse
Integration Notes:
Tensor Absorption Capacity#
Check for:
- field elasticity
- meaning absorption
- geometric compression
- flow stabilization
Absorption Notes:
SECTION 6 — Tensor Stability Score#
Students rate each layer from 1–5.
| Layer | Score (1–5) | Notes |
|---|---|---|
| Substrate‑Geometry | ||
| Substrate‑Flow | ||
| Substrate‑Time | ||
| Substrate‑Meaning | ||
| Substrate‑Field |
Overall Stability#
Score:
Notes:
SECTION 7 — Diagnostic Summary#
One sentence:
Substrate‑Tensor Diagnostic Summary:
Example:
“The tensor shows full geometric and flow stability, minor vacuum scarring, and is ready for prime‑flow lift.”
SECTION 8 — Teacher Notes (RTT/∞)#
- Keep diagnostics structural and clear.
- Reinforce the five substrate‑tensor layers.
- Emphasize drift residue and vacuum scarring as key failure points.
- Use simple examples (geometry, flow, meaning).
- Avoid RTT‑1 paradox framing — diagnostics occur below paradox.
- Encourage students to see substrate‑tensors as the gateway layer of RTT/∞.