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Four complementary roles organize the framework: an Organizational World defines operations management logic and an organizational behavior world model behind an enterprise from a strategic-institutional horizon; a Site World defines a physically bounded industrial optimization and execution world model from an
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Artificial Intelligence

https://arxiv.org/list/cs.AI/new
A core calculus gives an effect-confinement lemma and six safety properties

Computation and Language

https://arxiv.org/list/cs.CL/new
LG) Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed

Rainfall is rough

https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license arXiv:2607

Information Theory

https://arxiv.org/list/cs.IT/new
all New submissions (showing 11 of 11 entries) [1] arXiv:2608

Cryptography and Security

https://arxiv.org/list/cs.CR/new
fewer | more | all New submissions (showing 32 of 32 entries) [1] arXiv:2608

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of

https://arxiv.org/html/2608.03573v1
org perpetual non-exclusive license arXiv:2608

Mathematics

https://arxiv.org/list/math/new
up to 2000 entries per page: fewer | more | all New submissions (showing 219 of 219 entries) [1] arXiv:2608

Report GitHub Issue

https://arxiv.org/html/2607.22511v2
The source code, formal library, and run records are available at https://github

Report GitHub Issue

https://arxiv.org/html/2608.02609v1
Code and pretrained model: https://github

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

Condensed Matter

https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries

1 Introduction

https://arxiv.org/html/2511.06451v1
1 Data Protocol (arXiv Release) Synthetic risk–neutral generator

On the Complexity of Learning to Cooperate with Populations of Socially

https://arxiv.org/html/2407.00419v1
nl Abstract Artificially intelligent agents deployed in the real-world will require the ability to reliably cooperate with humans (as well as other, heterogeneous AI agents)

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https://arxiv.org/pdf/2006.02318
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Mitigating Distribution Shift in Stock Price Data via Return-Volatility

https://arxiv.org/html/2508.20108v2
Extensive experiments on real-world datasets demonstrate that ReVol enhances the performance of the state-of-the-art backbone models in most cases, achieving an average improvement of more than 0

I INTRODUCTION

https://arxiv.org/html/2407.10811v1
However, most RL methods face difficulties when applied in the real world due to three factors: input, output, and the cycle-flow relation

Multi-Currency AMMs for Decentralized FOREX Markets: Feasibility

https://arxiv.org/html/2607.26405v1
After World War II, the stable US economy with its dollar attached to the gold standard made it an attractive peg codified through the 1944 Bretton Woods Agreement

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

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https://arxiv.org/src/1910.03771
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Data Structures and Algorithms

https://arxiv.org/list/cs.DS/new
per page: fewer | more | all New submissions (showing 7 of 7 entries) [1] arXiv:2608

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https://arxiv.org/pdf/2608.03494
Ûò¶åtøõç[e‹Ôà¤'hc™\$×·fR´ds™0Å„ô™ÇDä3Ÿ¹Žds}‡…L‰�EÌC¯p˜‚D0ßÃ7�È� —…ŽÃ„ba ™ðXä &ˆØq™ðà è„‹ÏôNÄ$ %“Dê &12t“)ôãщðÇC—2,.]íºB—Ij¢/Ô‚ƒG¬�¥]Ç‹˜+ñ\¹.þ)´+ü CæâÑ1Xqƒ�y˜Ž‡Aàb]å0å‚H ¦Tˆ?’)L*—©À÷ÐÈTä`£Òƒèp¨Rh™ïx Ž˜

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript

Stochastic Choice with Advertising

https://arxiv.org/html/2608.03504v1
org perpetual non-exclusive license arXiv:2608

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https://arxiv.org/src/2006.02924
¶«ˆ `Ä‚ ATT,ðŸ÷=eÎÌn÷ûþ{¿çûÿ/Ï£$»3§¼ç=o/ZÀΈêSëü2ÉO—.9ø/ùqüÛ5³SV×:Y�ºté’Õ™üGžËÊÊîœYGÍüw.ŠÿĄ̈QÕ:‘p8ZÛs§úþéOQ@óè�jS÷æjâÊX]­ˆè¦ŠªÑ2]5Bј5Â!SõèeFȇŸi>ÍŒUx%bDË‚nµ²Ì誦5òùŸáÕj4¢kÑ ŒUIžR½áÐ=â×C^˜$.U “Ì€Cö­¨ÐC>cj†ª(ýÉt†O�¨Ñʰ

Multi-agent Off-policy Actor-Critic Reinforcement Learning for Partially

https://arxiv.org/html/2407.04974v1
Sayed are with the Adaptive Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015, Switzerland

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https://arxiv.org/pdf/2410.15608
&ÁBm±Û‘%�$O§óë·ŠUÔÅm'3@£EQ$]dݾª¢È6"üõÏÜ€¿Ÿÿz'7Ϲ™Ÿÿùp÷ÍwJå›\Î¥›‡§�µ"M7™É„*Ìæ¡Ú|L~êºv8Ô­ÿ×íÎ(™¼?y¿?lwÚÊäg¿ïžÛz¬»–:ž¶Ú&]O/?Ö[ÿÿyêyØfiÒ—í°ïëÓü HÕé¦RµCRÓ\ © ØI S㘻oî>Ý)è“5mƈTæ›ýñîã¯rSÁ§¿m¤( ·y �°”ƒg³y÷�7‡´^ÌÚ\(«q±Ow"-RéÂ÷E3|г¸ã›

Homogeneous Distributed Observers for Quasilinear Systems

https://arxiv.org/html/2407.05763v1
fr Inria, Centrale Lille, Université de Lille, CNRS, CRISTAL, France

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https://arxiv.org/pdf/2205.11916v3
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https://arxiv.org/pdf/2205.11916v4
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https://arxiv.org/pdf/2303.12712v5
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