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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
Regulators, legislators and the press have converged on one explanation: the sixteen single-stock 2×2\times leveraged and inverse exchange-traded funds (LETFs) that the Korea Exchange listed on May 27 on Samsung Electronics and SK Hynix, together half the index
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/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¸,$BBŠ(ÎM”6°nˆ²Š0‚cDfDs
https://arxiv.org/html/2407.00419v1
Our results first show that these assumptions alone are insufficient to ensure zero-shot cooperation with members of the target population
https://arxiv.org/html/2607.28323v1
Across asset classes and datasets, empirical studies have found that price impact is typically concave in executed volume and depends on participation rate, execution duration, and market liquidity in a manner often summarised by square-root or related power-law specifications [4, 7, 13, 21, 27, 36, 39, 40, 43]
https://arxiv.org/abs/2605.15611
15611] TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
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arXiv is now an independent nonprofit
https://arxiv.org/html/2508.02739v1
2 Preliminary
3 Methodology
K-line Tokenization
Hierarchical Autoregressive Modeling
Model Pre-training
Dataset
Model Training
Inference
4 Experiments
Experimental Setup
Main Results
Prediction Tasks
Generative Tasks
Investment
https://arxiv.org/pdf/2608.00785
*¥ä¸"ï Ñ¥îå4‘XÚâ¢Ô]滉¼³`Yd)©$’Þéw©(P©¯\éw™÷»¼ó²’´Åe©»$ºS IG–R¯¸Ç¼´Å%‘:V‹ûéŸÍ¶g¿Á{*ÆŠ´ÑŠ$ðï ðv˜búyxZü¹ç1ì—ËphNß"lŽÍ€ >´›ïþ=ÔÝðÈêó9œ¶ÍŸï^1ãÏõ1”>"½þñ©m‡S;„wün ¶´ ´ºÒ*áj§ò[¶çGx»Âð.‹Ÿ±¾¹½Ú›�7ûp•� Ïi¸†®
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/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
Several sampling-based planning algorithms have also been proposed to improve computational efficiency, particularly for special classes of Dec-POMDPs, such as multi-robot active perception [49]
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/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/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/2608.03898
�=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
Á`"†aXt࢜G ¿Ô÷aVTê(:–F ÁTWÓÑc#ýZe_òÞÐÔÚ˜‡ÒÙ þ²u'iUipŒŽMEE'ϰäžO›ÌKX ²Á�¨(NDÌIñ&_,æº)n¡dlnTªÐ“w—çGG‡'ïŽ;³q O6ì&*ŠÐ;p´¤uÖ;Æ{s^hÃA³—ÜãXÕÐl
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°¸$ÌŽJ0ñj€Ï·|¦At %QïòÄóíÃó'Fä:oê1Óä1ã£Ió’s~_Œ£y•>(ìŽ)ÔâCfXcêFÌš”{Fºj€‰¦ü{œÚ €÷ ¤la~£°ÀħÅvǸŸ\5îÇ3�m6´9(Äx
https://arxiv.org/src/2006.02759
}†‘û{Ø\»†�fUaÅbTMV ¼•~À8yœš–ˆÆ9}r'e´‘¢ÉŽ]y±DÔ)u³V5ºh㾕z±'&]Ñ'“”ÆPÄÊ0 ´á7N* ¡¼iPÿÎååà3œèqS [÷F@ub¨{@ºÊzêó«èiÍXs™
https://arxiv.org/src/2608.03883
>ã |ró�àLò©@àžŠ“PÜ‹p¯]ûA(">×" äÝ 78ëÜrywÜUb¹gpüþÒÖáŽïE*ƒ8Bº¾ì0¸UÈ0;Õòö’4†iÒƒv;$ƒÿѓٿWlâ°�ੈD nå±E fLÍóbWª4HX¦‚0PÝ–å$XœÓ â!Óa…¸J¶©,+ÁSKƾ%¦q¢Àáåć\ÊÃﯣ?Ãÿ°¿þûŸŠX`wû�)” ¢)ƒ‘ÀÅúqÊ^¿ùùšý§wr'ìÆá–dß"¨óËM7N§49ö*S³8