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    "headline": "Quantum Requests Compete for Purified Links",
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    "dek": "Reinforcement-learning schedulers served more requests in simulation while consuming more Bell pairs.",
    "summary": "Reinforcement-learning schedulers served more requests in simulation while consuming more Bell pairs.",
    "body_text": "Dynamic quantum networks must schedule purification across shared links and memories. Simulated RL schedulers improved request success over a mixed-integer program by up to 6 percent and over two heuristics by 16.5 and 19.5 percent, while using more Bell pairs and deferring some traffic. The optimization remains a network simulation study.",
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      "quantum networks",
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      "title": "arXiv preprint 2610.26900, original v1",
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