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      <title>Hard Constraints Without Full Rework: AT-SKM-Net Accelerates Dynamic Graph Correction</title>
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      <description>AT-SKM-Net shows how learned active-set guidance and incremental matrix updates can reduce hard-constraint correction latency without handing feasibility to the neural predictor.</description>
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