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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
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
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
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
https://blog.arxiv.org/wp-content/plugins/gutenberg/build/styles/block-library/navigation/style.min.css?m=1781685988
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https://arxiv.org/html/2608.03573v1
org perpetual non-exclusive license
arXiv:2608
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
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]
https://arxiv.org/abs/2605.15611
15611] TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
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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
https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
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
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]
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
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
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
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
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02854v1
�“kñP`úûÜïž8‡„È 4GŽ´HQ@æ%¤R› Ø�«F¼@Ë~„Î9¡ (B9ãìÖ5ÎOS«7WŸ›k¬zSÛD–ëØn©õ> endobj 9 0 obj > stream xœ�ZYsÛ8~ß_ÁÇxS“7P55U–ïC¶#ɇ¼µ´ÍXÜØ’‡’g&óë·›% $¡òT9‘Ùh ___”Iš¤ !‰„ÿiB|°„2øà KYBDÂ$|È„+øP‰`ð¡A_&Ä$RÊ„¦‰RðAÍàƒ&&5°Db$|ð„¤œ&TÀ&°
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˜} >
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
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
https://arxiv.org/pdf/2608.03898
�=ØžðòëïiYöÈ{wŽí–ÔzúEn�%ó˜bAÄ|&dÈ&’€…L†>‹˜RŠÅÌ÷$K˜ &ôëë¼-2EÐÛ¯¿ök ?9ð²Îî™´™DÞ˜ „L"žQïËÓó¿ŸžO¨÷¼M‹U±ÿcî #ï à‘ï>©¶%#þI7ϲ|uÛ¿Bš«¬e�ø1?áOø)ÊÏøoüœ?çð+þš¿å)O—yVgMÞðk~]§‹» ‹ð¦íŸkâÇ|QU‰¿ëuÊ—Íon°îÊE¦‡2D\a~Ñis«�ö{}F… ÿ¶Hëªd¼»!wë
https://arxiv.org/src/2608.03994
{’ûUu“lr8¶›Üá€$§»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
https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2006.01128
háLkol ðÿÑÿ'VVæÿ=þ§ÿkd gcfc``becf`üßzÐÿYYðéÿ”ÏÿE.NÎŽøø ŽvvÎÿŸúý{ÿÿ§"‘¥a e�"™_Y‡bŧǷ3´„âæ†¢“6±5s6Çgdå`ÇÿßE'jaílâˆO'jmàl"lbdglÅËåäìhb`å¾¹£-‡Ý†Ø{W‡ïH_ lÑ‹‡>$1N¢î RïS¿�$|Eì DòÇ«—`ݨǴE‘¹°(M×5nˆÚW‹¾A´�EºQ…õ1Þ6XfÉq�m
https://arxiv.org/pdf/2608.02976
Zýáü oŒÍøe§SÕ�¦©ôðI ×´ÓOÂ\õïèÀIpïÀ‹%ª&1™$a©K¹ËÈCH»0G�Ž_¥3¶{‡bý¹Xx” O±jlbLTxT2¦S$‹A™×ŒÛxI V‚¬öuYã
https://arxiv.org/src/2006.00064
rD™h¥ø t Ã'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{œÚ €÷ ¤la~£°ÀħÅvǸŸ\5îÇ3�m6´9(Äx
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™