Update README.md

README.md

@@ -35,20 +35,20 @@ This "Community Edition" contains **1,518 unique simulation cases** representing
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 ## 2. Anomaly Classes & Data Distribution
-[cite_start]To ensure robust training for multi-variable deep learning architectures, the 1,518 unique statepoints are distributed across three independent safety-critical operational anomalies and a nominal baseline[cite: 291, 297]:
+To ensure robust training for multi-variable deep learning architectures, the 1,518 unique statepoints are distributed across three independent safety-critical operational anomalies and a nominal baseline[cite: 291, 297]:
 
 | Anomaly Class | Cases (N) | Perturbation Range | Primary Physics Mechanism |
 | :--- | :--- | :--- | :--- |
-| **Control Rod (CR) Misalignment** | 555 | [cite_start]0–200 cm insertion depth  | [cite_start]Control rod worth: negative reactivity insertion  |
-| **Fuel Temperature (Doppler)** | 481 | [cite_start]950–1200 K  | [cite_start]Doppler broadening of U-238 resonance capture  |
-| **Coolant Void Fraction** | 481 | [cite_start]0–35% void fraction  | [cite_start]Under-moderated regime density feedback  |
-| **Nominal Baseline** | 1 | [cite_start]Reference state  | [cite_start]Unperturbed core benchmark ($k_{\text{eff}} = 1.26660$)  |
+| **Control Rod (CR) Misalignment** | 555 | 0–200 cm insertion depth  | Control rod worth: negative reactivity insertion  |
+| **Fuel Temperature (Doppler)** | 481 | 950–1200 K  | Doppler broadening of U-238 resonance capture  |
+| **Coolant Void Fraction** | 481 | 0–35% void fraction  | Under-moderated regime density feedback  |
+| **Nominal Baseline** | 1 | Reference state  | Unperturbed core benchmark ($k_{\text{eff}} = 1.26660$)  |
 
 ### Verification & Validation (V&V) Baselines
-[cite_start]Every simulation case in this community release has been rigorously audited against industrial safety standards to guarantee physical integrity before deployment[cite: 228, 241]:
-* [cite_start]**Source Convergence:** Fundamental-mode spatial distribution verified with a Shannon entropy drift of 0.0419% (Passing industry threshold of < 0.1%)[cite: 66, 300].
-* [cite_start]**Statistical Reliability:** Adjusted for a Lag-1 autocorrelation coefficient of 0.62, raising the conservative industrial noise floor to ±56 pcm[cite: 85, 92, 300].
-* [cite_start]**Code-to-Benchmark Accuracy:** Verified against standard reference benchmarks for fresh PWR fuel pins with a stable code bias of -339.7 pcm, safely within the standard ±1000 pcm acceptance limit[cite: 51, 184, 300].
+Every simulation case in this community release has been rigorously audited against industrial safety standards to guarantee physical integrity before deployment[cite: 228, 241]:
+**Source Convergence:** Fundamental-mode spatial distribution verified with a Shannon entropy drift of 0.0419% (Passing industry threshold of < 0.1%)[cite: 66, 300].
+**Statistical Reliability:** Adjusted for a Lag-1 autocorrelation coefficient of 0.62, raising the conservative industrial noise floor to ±56 pcm[cite: 85, 92, 300].
+**Code-to-Benchmark Accuracy:** Verified against standard reference benchmarks for fresh PWR fuel pins with a stable code bias of -339.7 pcm, safely within the standard ±1000 pcm acceptance limit[cite: 51, 184, 300].
   
 
 ## 3. Dataset Structure