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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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https://arxiv.org/list/cs.AI/new
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https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/html/2508.08980v3
A characterization for binary relations that may fail transitivity, however, has remained elusive
https://arxiv.org/html/2608.03048v1
The read step processes all chunks in parallel, with each chunk-level read conditioned on the same global memory, thereby avoiding sequential memory overwrites that may discard earlier evidence and reducing inference latency through parallel chunk processing
https://arxiv.org/pdf/2608.03883
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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/pdf/2608.02615
ÙXA{Ã:™Ð•´&¼iŒÃG¯9 Ÿ8¼û >•a³f4ëƒ @±�ï>MC™Úšµ„îk:\\>ˆËÔ]tÌCy'rRg³èØ«[ßô±åÄ–ëö¦��óu[{Ñ‘©2{ºVG7akؽè˜÷¯¡´«Î—ê™ÈÆl9è™;;ÊVTé[Âéû«Kd½¿y™h•^>A™W]L6t2Ë&›À„
https://arxiv.org/abs/2607.29380
The framework distinguishes Internalized Mastery (deep domain knowledge from sustained practice) from Distributed Mastery (orchestrating human-AI systems), and develops the Validation Tether: effective AI oversight depends on the expertise AI adoption may undermine
https://arxiv.org/pdf/2608.01366
) /Title (Asking Questions the Right Way: A Multi-Agent Conversational System for Prompt Formulation in Complex Task Resolution) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/src/2205.11916v1
*H«âF]p\xçNHXô}ÿ¶ï½ïë|š„;÷œ{Îïì7À×Ó.œÁ#DD¸Œá Á�¦dQÖ £ñW=xœœØoxÔ¾m9N޶vö¶ðé ûlœíl50Î_&A�œfp†iÈ(ŠikßçÞÿ?}Â")‰e= ~ 35ŒGHBFJÚa4OFJšœMh‡E‚þŠ!þ”°ob]¤L|,ÇÚ–'Ž£ ÁcÐ+ØÑÀX.Âeñ±"å¯þ"N ävöaàqL4Ég„ñì ÇE}ÅÖ¶Ù§f{š¨î‰oA0zâÃJ*
https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2608.01934
ÏË›¢®sµ¡Ùq•�A r™�š4)^zf¿ï³Û߈õQâÄÂÜ$åÐ@ô@‰…^G ‰õ)N„‹½¼Ì9›ïŒq;x`"ݨN¯`�Äqj'fmRF‰x›˜�ã3KqtðÕ8:ÂfL]¶ ì¬ïN7êí»Q‘¸F�DÁ@Ý|Ý ÞC"Cy‹µX‰°\*±btÅœî Þlx^–Ö÷ö¼^¸_,…·VÛN›[évsZx¨Ï_ckúû··úÄð=vpu:÷pjØSòkìÐøõ»³[}úögͱÚ×�ýP~÷ƒÿä[ yÃIFºŒ–
https://arxiv.org/pdf/2608.04341
04341v1) >> endobj 49 0 obj > stream xœÅZ[oã¸~ï¯àc»@Þ ,èîv¶Zt°³@§-ú ØLâ�m¥²‚ Déð–v&¶MR5ŒG³Ü‰ïDÈ/ð,27 KŒ B cYÂ@6šBBq Î\ŒÎ±
https://arxiv.org/pdf/2608.02764
~ €'Ñ£ö—³ê° `Á‰çÄ"± m�Óšc3á8{�ck'NÕ: µ‡œãLº¤q]œ\—�s@Î1uœñÑfìq®œ#ô ´™òØ£1²¯Ø> c¥%câðxA{5fv®MKDoußtßõÉP}¿²›tΣ)÷•8sjtíÙ1ñŸ7´µôæ›×&—-âü·âùòlõ×eë±¾}óÏö�í¶�’_±'ºæK¶W×(&H‹—›¤|�üÐŒ§„2šË¿P"§±”ÍFAHŠ3Qˆ„cy
https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.02361
°SŽr9Ñf Û½Õ£šX‡žœ§J¼º7÷qBœ yºm¦®jeu¸\ú³=Ó`ÙuÔs e@úÀeàäšÖ’¶‹If£«5ªhk¬Z† õš&:Z)^c\×0 OV{¦5ŽÂë|gIÕÈ7h/0¯ikÕÏVÈ×”—o�L¥ýÝû4“K`¬ê©)#Ó§ó¶‚Ö‘�ño6
https://arxiv.org/src/2205.11916v3
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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.03063
æ0ù0)ûÂá��ÂãqA€·/nÖG7“K¾Ã~¦áP–6$4-a=CYå‘6,P-ÄuÛ•Ä*óÚOQ k¸3W‘÷D“7«UZÆ0úüÒjLâ¬OÈ£óZ³ì:TdÕ›²ÞO\þÓœ|޶O‚“É)Fiû$ê«V˜�§•B‘öE§LÈ-&âißàoèû¼¡ïó†¾Ïú>oèû|@àóAÈ
https://arxiv.org/src/2006.02759
YT,‹ *Šÿ¹ËÌÜ™LÒ²øþ÷þÿÍÍÌ�{Ï=÷ì÷Ü;3==ö¡Biû¸¿òHƒ#;»#þ…Ãø‹ÏÓ3²²²Ò3³²:¦Ç¥¥§eÃ×ñ/ÅŠ!IæƒE9V½ªîÿ‡= ÿ=b€Ê©þ�Ïf—.÷8ƒ³²2ÍùŸž–‘Õ1ñ?=³cfzfZ6ð?£cÇŽq\ÚeÆÃôøÎÿ$NÏz.5•Ã21‚“ä2¯À¹Ä —?p7A ý¼WâRòø`1t¦z=EÍ„ ÇA*·IHJHâzçé58ÐÐü�ð5Çõ e·
https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.01785
+ÖÑÖ1‡}ª$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/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2508.11152
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2608.03086
À5£w+>Ã7+>S}ñúø �…øŒuñüB|¿Ÿ¡§Ÿ)W|Fï…øL|ñ™øŸ „å,B/…ø�^ ñû°ÿ©&ÿ+–jòRPñœŠ×ŠáCÅñ8ƒ£Iæó\UË E'Žj\2ïwAsGMÐMDç>Nü®wï—Õq8"‹ºå¦‹£û:ø‰9ç endstream endobj 94 0 obj > stream xÚmUMoâ0¼çWx•ÚÅvH U„dçCâ°ÛªT«½Bbº‘ ‰B8ô߯ß
https://arxiv.org/pdf/2508.04671
ºµ2à¶ìVgžd>ü8‚�ÐÈòŽË®wÍÎ ¡[-%ÊSàIfÈèPÆŒŽýx’
https://arxiv.org/src/2303.12712
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