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https://arxiv.org/pdf/2608.03437
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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.04341
) /Title (Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.02764
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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv

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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2608.03883
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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2608.02817
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https://arxiv.org/pdf/2405.17770
-Neutral Generative NetworksZhonghao XianXing YanCheuk Hang LeungQi Wuhttp://creativecommons.org/licenses/by-nc-nd/4.0/q-fin.MFq-fin.PR endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9

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https://arxiv.org/html/2608.02854v1
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https://arxiv.org/pdf/2109.12196
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https://arxiv.org/pdf/2607.26245v1
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https://arxiv.org/pdf/2608.03095
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https://arxiv.org/src/2211.10435
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https://arxiv.org/pdf/2607.27070v1
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https://arxiv.org/pdf/2608.03788
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/pdf/2607.26405v1
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https://arxiv.org/pdf/2608.00426
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2410.05779
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https://arxiv.org/src/2608.04007
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