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https://arxiv.org/pdf/2608.03421
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https://arxiv.org/src/2006.02085
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https://arxiv.org/pdf/2006.02759
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2508.02691
7 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Statistical modeling of SOFR term structureTeemu PennanenWaleed Taoumhttp://arxiv

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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/src/2303.12712
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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/pdf/2508.04671
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https://arxiv.org/pdf/2508.07408
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https://arxiv.org/pdf/2608.02918
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https://arxiv.org/src/2211.10435v1
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https://arxiv.org/pdf/2407.01722
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https://arxiv.org/src/2006.01331
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https://arxiv.org/pdf/2508.16279
AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang

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https://arxiv.org/src/2608.03882
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https://arxiv.org/pdf/2608.03233
T+jq8 M\c~wD`%::P sC` zzTrH`${0F{kʆƄ endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv

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https://arxiv.org/src/2006.01402
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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/src/2006.02055
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https://arxiv.org/src/2006.02464
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https://arxiv.org/pdf/2608.03833
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Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin

1 Introduction

https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands Slack http://bit

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained

https://arxiv.org/html/2608.00648v1
Distributed Multi-Agent Systems Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
com/zaneopen/PACE 1 Introduction Reducing execution costs is a central objective for financial institutions (Bertsimas and Lo 1998)

Report GitHub Issue

https://arxiv.org/html/2608.03154v1
com/COMBINI-Hub/Multi_Agent_Relation_Extraction