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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
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Artificial Intelligence

https://arxiv.org/list/cs.AI/new
CL) Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions

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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

%PDF-1.7 %¿÷¢þ 1 0 obj > >> endobj 2 0 obj Surveys and overviews.

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
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Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1
de Abstract When a transformer learns an irregular morphological pattern, what has it learned

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https://arxiv.org/pdf/2608.00785
*¥ä¸"ïÑ¥îå4‘XÚâ¢Ô]滉¼³` Yd)©$’Þéw©(P©¯\éw™÷»¼ó²’´Åe©»$ºS IG–R¯¸Ç¼´Å%‘:V‹ûéŸÍ¶g¿Á{*ÆŠ´ÑŠ$ðïðv˜búyxZü¹ç1ì—ËphNß"lŽÍ€ >´›ïþ=ÔÝðÈêó9œ¶ÍŸï^1ãÏõ1”>"½þñ©m‡S;„wün ¶´ ´ºÒ*áj§ò[¶çGx»Âð.‹Ÿ±¾¹½Ú›�7ûp•� Ïi¸†®

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
As typical LPWANs, long-range (LoRa) networks have attracted increasing attention from researchers in both industry and academia since they operate in licence-free ISM frequency bands [4]

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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/src/2006.01128
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https://arxiv.org/src/2006.00064
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https://arxiv.org/src/2608.03883
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https://arxiv.org/src/2006.01048
н^óqÛ6�ä�Í>:ëápÜ ð®Ì¹I`$þ¾°å;¢­"¾_og0zÝôOiƒ…·¬î¯¦º3ì¬8 rëmÐïnwvæÁ‘ ³#Çð¸ýd´Œ¾áÌ÷¯OJ§§¸>á3+ÿs½^ŽŸµÄåßÅÅCCCÅ%$$DE;ùuuñ•¾ ¡ Ô S©D„‡Kö;”˜˜¸¨¨ð×ÃrELääß ¢+S·�ŒHHKïA1ÀõëéÁß`»h8Þª®©©¦úR3à P’„ÌlM_k+g©n"4”Mõ±�ªh�J#Bê°ZA%i|jªzýH l…-èyxp˪x¢h((ľ×�Kô†Ú§gŽ×ÞÌ�4ݧT�k†^�›”U þØMW5LµO©À;ÊPî'3_FWPmèBwy¤ÊáN)

‹�éÖ^Üñ°�½ òØN¹kÝzéÒJ—Ür…“¤±YYêù^ºhBܱ·ðBÛ·‘Å'¢‰uËcþµ‚R¸éʲ

https://arxiv.org/src/2006.01331
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https://arxiv.org/src/2104.08691
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https://arxiv.org/pdf/2006.01128
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Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1
org perpetual non-exclusive license arXiv:2607

Train Often, Deploy Selectively: Forward-Gated Model Replacement in

https://arxiv.org/html/2607.28577v1
org perpetual non-exclusive license arXiv:2607

Report GitHub Issue

https://arxiv.org/html/2608.03077v1
org perpetual non-exclusive license arXiv:2608

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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

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https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2608.03994
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/src/2006.02759
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https://arxiv.org/pdf/2006.02602
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2006.02085
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