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README.md

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@@ -136,57 +136,6 @@ APRIL not only improves training efficiency but also achieves:
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## 🏗️ Architecture
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### System Design
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```mermaid
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graph TB
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subgraph Pipeline["🎯 APRIL Training Pipeline"]
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subgraph Rollout["📊 Rollout Phase"]
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R1[("🎲 Over-provision<br/>N' > N requests")]
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R2[("⚡ SGLang<br/>Inference Engine")]
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R3[("🛑 Active<br/>Interruption")]
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R1 --> R2
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R2 --> R3
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end
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subgraph Buffer["💾 Buffer Management"]
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B1[("📦 Partial<br/>Rollouts")]
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B2[("♻️ Resume<br/>Queue")]
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B3[("✅ Complete<br/>Samples")]
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B1 --> B2
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R3 --> B1
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R3 --> B3
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end
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subgraph Training["🧠 Training Phase"]
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T1[("🔄 Policy<br/>Update")]
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T2[("📈 Loss<br/>Computation")]
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T3[("⚙️ Megatron/<br/>FSDP Backend")]
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B3 --> T2
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T2 --> T1
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T1 --> T3
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end
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B2 -.->|Next Iteration| R1
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T3 -.->|Updated Model| R2
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end
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style Pipeline fill:#f9f9ff,stroke:#4a5568,stroke-width:2px
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style Rollout fill:#e6f7ff,stroke:#1890ff,stroke-width:1px
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style Buffer fill:#fff7e6,stroke:#fa8c16,stroke-width:1px
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style Training fill:#f0f5ff,stroke:#597ef7,stroke-width:1px
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style R1 fill:#e6f7ff,stroke:#40a9ff
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style R2 fill:#e6f7ff,stroke:#40a9ff
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style R3 fill:#e6f7ff,stroke:#40a9ff
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style B1 fill:#fff7e6,stroke:#ffa940
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style B2 fill:#fff7e6,stroke:#ffa940
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style B3 fill:#fff7e6,stroke:#ffa940
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style T1 fill:#f0f5ff,stroke:#85a5ff
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style T2 fill:#f0f5ff,stroke:#85a5ff
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style T3 fill:#f0f5ff,stroke:#85a5ff
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```
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### Core Components
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| Component | Path | Description |

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