Update README.md

README.md

@@ -45,9 +45,9 @@ The recent leaps in the **geolip-svae** research have shown this **affordable re
 Modern models grow by accretion and inertia. We refactor them into **crystalline components**:
 
 1. **Geometric Core**
-  The original thesis;
+  - The original thesis;
     Knowledge is encoded as **pentachora** (5-vertex crystals). Decision-making uses **MAE crystal energy** against a reusable dictionary—no L2 routing, no structural normalization.
-  The updated thesis;
+  - The updated thesis;
     Knowledge is encoded as **geometric** (Ω Omega-grade self-solvers). Decision-making uses a series of pre-defined adjudication principals that allow highly efficient and compacted transfer learning through distillation processes.
 
 3. **Vocabulary Register**  
@@ -63,9 +63,8 @@ Modern models grow by accretion and inertia. We refactor them into **crystalline
    - **Infinity-CFG** (controllable guidance; research can breach barriers, canonical classifiers keep production deterministic).
 
 5. **Tertiary Mantle**  
-   Canonical losses, hooks, manifests, and governance. The Core stays clean; the experiments live around it.
-
-   It got messy as any large engineering experiment becomes, however the solutions presented in this environment will be clean and crisp.
+   - Canonical losses, hooks, manifests, and governance. The Core stays clean; the experiments live around it.
+   - It got messy as any large engineering experiment becomes, however the solutions presented in this environment will be clean and crisp.
 
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