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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/html/2609.03371v1
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https://arxiv.org/list/cs.CV/new
0 achieves state-of-the-art or leading performance on text-to-3D generation and 3D editing benchmarks, while exhibiting strong understanding and part-generation capabilities
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/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2608.02851v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/pdf/2608.03883
org/pdfua/ns/id/ pdfuaid PDF/UA ID Schema internal Part of PDF/UA standard part Integer PRISM metadata http://prismstandard
https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/html/2609.02852v1
, chain-of-thought monitoring, constitutional self-critique, activation probing for linguistically-defined feature vectors) can never be completely sound; the model sandbox will always need isolation techniques whose guarantees do not depend on reading a model’s linguistic state at all
https://arxiv.org/html/2608.02613v1
2 pp, exceeding MemSearch reader scaling (+10
https://arxiv.org/list/cs.CR/new
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New submissions (showing 32 of 32 entries)
[1] arXiv:2608
https://arxiv.org/pdf/2608.03833
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https://arxiv.org/pdf/2608.02918
‘´ŽVÊ¥_ßrW"¹»B_,xæpærÈI2Î3œ“F0Í Ì0SrV°Ò+™\1Ë„´‚ ΄æmLB£‘ +Щ˜ô?†Q�šI(Ñi˜,ð�(˜,-âJ¦¸Æ –)‰$f^âb¦4Æ—’©Âà"Å”Õè¢�L"1UbPÃ@[Ä Ãs ÊÀ"iñã+Î4·š)”"l�I˜–ˆWŠieÐLƒÁ$?KùË‹ìòŠ©wá»üÃýØ¡þ{_mÝf‡T:ï}½[9Öy_¾ôkoëu½kÙ?ì즙ÿ6ÛUÛÝ9;›×;
https://arxiv.org/pdf/2608.00426
®gH™Ã‘¥|ýv“ A*Þ*—GÓènœ>Ýh€à°„$чO®ˆJ :#Ú$]rødà ¢ KeÂѵL!"p 8 H&+‡)ê¥ð ,€)KAY +„ +\Jžt 0Ÿà‚èD `I „ÔÀwøGÀH m4=pÁ‘W&Z ‹ þÐDƒ>º60©„!’²DJ‚ �WÉ!H B K‰~àOœR"U y ö@¹4 (R‚RþR•„„�Tm@O'šh¦‰æ§2�C#A˜hC ¡’‰ß!ñ ”’TCp =5
https://arxiv.org/pdf/2607.26405v1
e„¥âŒ8äúò¤Îs`ÚWg+`î#)�SÎ%~Æü8§NTâ°ÒŒ¡YEð,Ê ¯(îÒ6À*†3FÓª¼r44ëP#®Y§†fÍžhhÓ°CkE8ã8å²+ûj®"7 Gö9ç¢~PpúCŠ+ªRî2C�ËÇ#`øp¿Ëœ1q îE—Œ‡£ü�ˆEÈ5’=„ŸF]=7úz&`ÿq•p&b¡Ã°§|Ç _/ôcØS‰½MrõΤ×fÈ/öÝðù%Ðm ÆðȰw öŠù\Ô‰CÞúbÖ“ ÿxö5cÖ fÌw(¥:¤§ÐKœŸz‰gßqf1iXgù·á3NpÆ óéìÓy/hHS>Wø›ÎúÁÏ#ÊÍÁ/—«ù¯¡¿ÿ5fÒerT§apC…
https://arxiv.org/pdf/2508.02691
7 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Statistical modeling of SOFR term structureTeemu PennanenWaleed Taoumhttp://arxiv
https://arxiv.org/src/2006.02833
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https://arxiv.org/pdf/2607.27070v1