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@@ -58,6 +58,10 @@ This model represents a fundamental shift in how we approach LLM fine-tuning. In
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  # 🏋️ Fragmented Training: The "Cognitive Burden" Paradigm
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  ### A Novel Approach for Accelerated & Enhanced Logic in LLMs
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@@ -65,10 +69,6 @@ This model represents a fundamental shift in how we approach LLM fine-tuning. In
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  **Base Model:** Qwen3-4B (Thinking-2507)
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  **Methodology:** Stochastic Token Shuffling (70% Noise Rate)
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- ### 🏆 新流水线:The "Iron Logic" Pipeline
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- `Base Model` -> **`FT (Logic Injection)`** -> `Standard SFT (Style Polish)` -> `RLVR (Reasoning)`
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  ## ⚡ Key Results at a Glance
 
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+ ### 🏆 新流水线:The "Iron Logic" Pipeline
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+ `Base Model` -> **`FT (Logic Injection)`** -> `Standard SFT (Style Polish)` -> `RLVR (Reasoning)`
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  # 🏋️ Fragmented Training: The "Cognitive Burden" Paradigm
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  ### A Novel Approach for Accelerated & Enhanced Logic in LLMs
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  **Base Model:** Qwen3-4B (Thinking-2507)
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  **Methodology:** Stochastic Token Shuffling (70% Noise Rate)
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  ## ⚡ Key Results at a Glance