NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site www eyespy cy site may may cy site if unesco org site:arxiv.org” of 235 matched · 448 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: newest result fetched 24 d ago · median age of these results 24 d · 1 of 30 carry a fetch time

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Artificial Intelligence New submissions Cross-lists Replacements See recent

Computation and Language

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

Existence of Richter–Peleg representation for general preferences

https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license arXiv:2508

Report GitHub Issue

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

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt

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

%PDF-1.5 % 7 0 obj > stream xP(endstream endobj 9 0 obj >

https://arxiv.org/pdf/2006.02318
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www

%PDF-1.7 % 1 0 obj > >> endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2608.03883
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www

8kd[[S ՙ9 ;n_2e !!/n٭

https://arxiv.org/src/2211.01910v2
2may ɖ56rVR%//I'6ŠfIAX}WL,f gh8NwZ

%PDF-1.7 % 1 0 obj > stream x[is۸~?Nޔ bRuV%v8N

https://arxiv.org/pdf/2608.02615
XA{:Е&iG9 8>af4 @>MCښk:\\>]tCy'rRgث[Ėu[{ё2{VG7akؽΗl9;;VT[Kdyh^>AW]L6t2&

Report GitHub Issue

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

%PDF-1.7 % 1 0 obj > stream xiSѮG**&ر dUd

https://arxiv.org/pdf/2607.26327v3
zcYF-k&XKM^jqXJ^Z0klvTJ>K6hz2*免Pu_w/'OuUvqpaR

%PDF-1.7 % 1 0 obj > stream xZm_u-I  &v-a}\

https://arxiv.org/pdf/2608.02943
% JŤ(G3iCLZsH ; LH8LI BSfJC`85xЀ rL9$:$YP &})e~lnۈOշw;U:SDvRF9^nkuܶ; 0fm਺qxGq P` bf$έ+>P*g(I35FgIjnrxmB3Ds%Q&k6WCenky$$r\B؎À柳[֤cy:󇉇G&Hu@bQ"b:#G\

'ubX X׷O\*":",aPe `!$3!E] q/Z E

https://arxiv.org/src/2205.11916v1
*HF]p\xNHX}|;{7.#DD dQ W=xoxԾm9Nv ll50_&Afpi(ik?}")e= ~ 35GHBFJa4OFJMhE!ob]L|,ږ' c+X.e""N vaqL4g E}ֶf{oA0zJ*

%PDF-1.7 % 1 0 obj > stream x}TɎ0 +x\SASgڢ˩

https://arxiv.org/pdf/2608.02244
QEDME \H,=:ꕞ`P=ɣ>J j{e4dwiw"ѼW̡Ǔa7ŠdƋgȗZ4OE}w@J6ID8ZkI CgO;|3 ~d~%Eq(اo@kocLZv NOrONKC=*TRu|JzCD`)m%nKtr: X][`2ɔCd>`wp aXT$cY_nCU wᔇ̸

%PDF-1.7 % 1 0 obj > stream xWM6WW&MЦ"

https://arxiv.org/pdf/2608.01564
2`SLִV'^@((9}2wN osCP% t7QRH>tx]֔| "}mEJhz>DtK;'%6G&z4Ubo}«%1nIK^t 9T1XU: endstream endobj 331 0 obj > stream Source-Bounded Exact Recovery over Docker's Logs APIKelvin Amoabahttp://arxiv

%PDF-1.7 % 1 0 obj > stream xXM7 W-P{$ͭMi/E

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

%PDF-1.5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Risk

https://arxiv.org/pdf/2405.17770
-Neutral Generative NetworksZhonghao XianXing YanCheuk Hang LeungQi Wuhttp://creativecommons.org/licenses/by-nc-nd/4.0/q-fin.MFq-fin.PR endstream endobj 4 0 obj > endobj 5 0 obj > endobj 6 0 obj > endobj 7 0 obj > endobj 8 0 obj > endobj 9

3`uTK Fpݝ%xpw.!;Ӝ~]w

https://arxiv.org/src/2006.01048
;Ӝ~]w"nz*]{CyG]+];+ _

%PDF-1.7 % 1 0 obj > stream xMO@.$M1ZZ6

https://arxiv.org/pdf/2608.02942
%9 Z)΂2$qH&$cYm6atɃ (e6hD:I'i>dY FĈԫjQM_9v

%PDF-1.7 % 1 0 obj > stream xYo@+Ux])0mC  %Pqe

https://arxiv.org/pdf/2609.18842
HE*QC6TnnHi{9@}ڌ}mx9pkr u\oV`8zAͷdz_w_V|0r+{vYU-|> endobj 28 0 obj > stream x\[s۸~_ݚJ@܁SSqvn35:-$gHA"ȶ2[" З hu*-+**+++%

%PDF-1.7 % 1 0 obj > stream xX[S8~_GNuNg6X

https://arxiv.org/pdf/2608.04341
04341v1) >> endobj 49 0 obj > stream xZ[o~c@ ,vZt@-Lm  Dv&MR5G܉D/,27 K B cY@6BBq\α

%PDF-1.7 % 1 0 obj > stream xXێ6}WqE"HK&ȃ"^!

https://arxiv.org/pdf/2608.02625
ZrP$9sxm`LL2S `AaX΄bɂ31e3- 䳜31/S#2?92 \%!R 4k$ F"()$k 9)dơ4R.2gR:L*H?$LؒIA5 ۼÔol}W4VǦ*۳=u[:.[uus/t

%PDF-1.7 % 1 0 obj > stream xY[s6~c(n40.@)txp'벱S

https://arxiv.org/pdf/2607.27063v1
z uE>o1rQD=m1'(|R: ;$D/D)`FiF:qh;IR)^oGpY8T>Ęd\ˀмuBT7kdfa(Q 璘3s|kpQ5pXc I@~~LHL%&`%`3a YXXXXXZk=|g^=[ oPyAT^PyA兽a#zy endstream endobj 161 0 obj >

%PDF-1.7 % 1 0 obj > stream x3R0P0V02䲱QwI-.)V040 )ف}SKSK

https://arxiv.org/pdf/2607.26245v1
f`q}b#ǿ 51$3?O*VZTcaHLOOIU-N˂-!B* V䧃ld~+ endstream endobj 4 0 obj > endobj 5 0 obj > stream xZis8ʀ8HUSS#d&grm%'P̯$(9[Gׯa( 0H򀇁灌Ӏ@)4 Ѩ8Dc

%PDF-1.7 % 1 0 obj > stream xZKs W8NLmm\ٜR{e

https://arxiv.org/pdf/2604.05327v4
[5ݭ/@Qjz8 ~4L2/b\P3Lx,F1ǔYJ@rO(ұc\-OډBi`VSszm Tı>B}ו]GϗtXwݹnn*WπprV{9K.m OM/ 2мUm[0oNzEPtU/:67nWW] 0xu

%PDF-1.7 % 1 0 obj > stream xMo0 .EAJfJ> endobj

https://arxiv.org/pdf/2608.02694
f_דiFp`܎e ܽU/&+KSVO`

%PDF-1.7 % 1 0 obj > stream x[o$ ~_ǻGDi %iڠIsHҾy

https://arxiv.org/pdf/2608.02764
~'ѣ `" mӚc38{ck'N: Lq]\s@1ufq# أ1> c%cxA{5fvMKDoutP}tΣ)8sjt17&-le뱾}_'KW(&H|Ќ2˿P"FAH3Qcy

%PDF-1.7 % 1 0 obj > stream xZms6~4&Nb{v\Xe^

https://arxiv.org/pdf/2607.26405v1
$ѥ('鯿]Ldg}@fy22I2Q3Q31.3q"0BL |*RgN2p| 0Q4yF`/ p!e D a`F d*@R EG 5vCT0s )$㠪 @$?x|ypdltCqA&1'1gi=N6Mܒ?^T 7I

z;c:XSW._U20eKrI$!B\UkQPk+V

https://arxiv.org/src/2205.11916v3
"uՍJ-HP=7!yz$$g9Or%$)VÃכ{{}^>|+߻@`4 y fESܻ>BJ*S9 ЎeljĄ%hR)1bT 9q%J% *T?My !䄘E[a@6U{6i*8.űɤi _ƷLsm

%PDF-1.7 % 1 0 obj > stream x}Wێ6}Wq@E7 $(Ptmڗ"L

https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv