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This study synthesizes adjacent research and introduces Enactive AI as a conceptual framework for enterprise and industry reasoning, site-level decision support, and execution feedback
from the top result below

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
CV) Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
Dispersing the rebalance through the session, Korea’s chosen remedy, moves the order but not the reference that sizes it and can raise the toll

.wp-block-navigation{position:relative}.wp-block-navigation ul{margin

https://blog.arxiv.org/wp-content/plugins/gutenberg/build/styles/block-library/navigation/style.min.css?m=1781685988
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SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of

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

On the Complexity of Learning to Cooperate with Populations of Socially

https://arxiv.org/html/2407.00419v1
If we make no assumptions about the target population, we can do little more than attempt to mimic observed behavior as closely as possible, reducing the problem to one of imitation learning

Optimal Execution with Passive Market Impact

https://arxiv.org/html/2607.28323v1
Across asset classes and datasets, empirical studies have found that price impact is typically concave in executed volume and depends on participation rate, execution duration, and market liquidity in a manner often summarised by square-root or related power-law specifications [4, 7, 13, 21, 27, 36, 39, 40, 43]

[2605.15611] TopoEvo: A Topology-Aware Self-Evolving Multi-Agent

https://arxiv.org/abs/2605.15611
15611] TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices Skip to main content arXiv is now an independent nonprofit

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (), Correspondence: Cheng-Fang Su () “Geometry is not true, it is advantageous

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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/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
+ÖÑÖ1‡}ª$jšdKmo€Át‹u°ê«bUQÍHF8‘†B™!’0Ή"ÌX¢ —š…rb‰d¡‘ZJ‰ ø‰¦ðÁ‰ÖœPAŒ¡„Jb¹%¸ž;î — HIF(�¬£2fa@â>�$€Î@‘d`˜#­!ð•*M }šÃ'è3ÐAŸ1 Ç‚* søÊX ,Ò‚K Êfœ€3œjxð§xD¸†ý¸""Sˆàèà¦ðl‰0–‘H*øN¤Ì€È#•3Q™áD¢8¸,$BBŠ(ÎM”6°nˆ²Š0‚cDfDs

Cross-border Exchange of CBDCs using Layer-2 Blockchain

https://arxiv.org/html/2312.16193v2
While CBDCs do not necessarily have to be implemented on a blockchain, the decentralized approach promises enhanced scalability and security [4], [23], [13], [12]

United We Stand: Decentralized Multi-Agent Planning With Attrition

https://arxiv.org/html/2407.08254v2
These agents can communicate and coordinate with each other, either directly or indirectly, to solve complex tasks that are beyond a single agent’s capabilities

1 Introduction

https://arxiv.org/html/2608.03486v1
Once the shocks have been recovered, the fully nonlinear structural vector autoregression can be estimated using feed-forward neural networks, motivated by their universal approximation capabilities

1 Introduction

https://arxiv.org/html/2508.02739v1
2 Preliminary 3 Methodology K-line Tokenization Hierarchical Autoregressive Modeling Model Pre-training Dataset Model Training Inference 4 Experiments Experimental Setup Main Results Prediction Tasks Generative Tasks Investment

Stochastic Games with Minimally Bounded Action Costs

https://arxiv.org/html/2407.18010v2
We prove SGs of two-sided impulse control have a unique value and characterise the saddle point equilibrium in which the players execute actions at strategically chosen times in accordance with Markovian strategies

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

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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2205.01882v5
žÄ35šÄAâ,:ÿ¾¤-e[ÖdN£�ùÞ#¥h‚ @�ô4(kÁ€±,8§ÀAá-x�² %H-HÒ"}�´É�EA räÔ€V[�°@²[P(¤¥í÷ œ!{Z §Í QÑf ZiJ† µ£$ ´¥z¨�>J@Úò[Ð…¡äŒ0(…‘¦ b`ÐQrFY J‚ц8!Z•0–’*MµúíåK¸úX¯ëvÿÁ³í®Ù6ûº­›ÍÌ'c³#³éÍ»j]î~ÌäsV°7ë‘QI=0R%ŒßàÕ«öc˜}>

Forthcoming in SIAM Journal on Financial Mathematics Decentralised

https://arxiv.org/html/2309.08431v3
Finally, we use Uniswap v3 data to show that, on average, LPs have traded at a significant loss, and to show that the out-of-sample performance of our strategy is superior to the historical performance of LPs in the pool we consider

Homogeneous Distributed Observers for Quasilinear Systems

https://arxiv.org/html/2407.05763v1
However, centralized observers for plants modeled by nonlinear systems satisfying Ho¨¨o\ddot{\mathrm{o}}over¨ start_ARG roman_o end_ARGlder condition can be found in the recent literature (see, e

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https://arxiv.org/pdf/2608.03898
�=ØžðòëïiYöÈ{wŽí–ÔzúE­n�%ó˜bAÄ|&dÈ&’€…L†>‹˜RŠÅÌ÷$K˜ &ôëë¼-2EÐÛ¯¿ök ?9ð²Îî™´™DÞ˜ „L"žQïËÓó¿ŸžO¨÷¼M‹U±ÿcî #ïà‘ï>©¶%#þI7ϲ|uÛ¿Bš«¬e�ø1?áOø)ÊÏøoüœ?çð+þš¿å)O—yVgMÞðk~]§‹» ‹ð¦íŸkâÇ|QU‰¿ëuÊ—Íon°îÊE¦‡2D\a~Ñis«�ö{}F…ÿ¶Hëªd¼»!wë

‹I�rjì[ýnÜF’Ï¿™§èc"HöÎP¶ƒ³p$%«À²ËAr°�\Ù3Ó‡ä’MI³‚‚}‡{Ã

https://arxiv.org/src/2608.03994
{’ûUu“lr8¶›Üá€$§»ªººªº¾š³·÷æäÅñÙIxYféÎgŸo?æ¿øôÿî=Ù{üÅþ“ƒG�5ÿôs7BeV‘*q(ÞÑ>wî/MW¥œ+š L–'êZ%ÁØ›žéD¥ri!dQ|3‘‰žêI¬f:Ò*ÅÿådV$4ê6p¨÷ã�.¥çiV¨�,%¿¥ÒLõ4œ–¦!J?Œí®rýv­ŠRg)¡ìÛa°�èkåÏ{OìRA^dË¢f,ˆ²e޵ †ÍãY"ë}Ü�îGÿÛ:üg>])þ9kðùÿfÃùß

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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2006.01128
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/src/2006.00064
rD™h¥ø tÃ'L€0°"Ip}eòdêD󀉆 —`}•[>M)P#Cu¬xHW0B“6¯dP{xÜcÌ`�æÖ‰°“›ÌŽ_JikŠ5áÎùœì>ŠÞ…Š/—ù`Ó“ñNª7°Íšáu¬¸U° Y«Ž™‡æ¦S¸@¾ó6žœhØ“`ÇAZ–Æwè¢9t¢¥†Ý�«O4™)·ìF3I„\Ó°„uÒ™”‚âÁÀÌœ\Çœä_†”Þ]Д«Í­ït°¸$ÌŽJ0ñj€Ï·|¦At %QïòÄóíÃó'Fä:oê1Óä1ã£Ió’s~_Œ£y•>(ìŽ)ÔâCfXcêFÌš”{Fºj€‰¦ü{œ Ú €÷ ¤la~£°ÀħÅvǸŸ\5îÇ3�m6´9(Äx

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https://arxiv.org/src/2006.02759
}†‘û{Ø\»†�fUaÅbTMV ¼•~À8yœš–ˆÆ9}r'e´‘¢ÉŽ]y±DÔ)u³­V5ºh㾕z±'& ]Ñ'“”ÆPÄÊ0 ´á7N* ¡¼iPÿÎååà3œèqS [÷F@ub¨{@ºÊzêó«èiÍXs™