NishiSearch

Web This site Trusted

30 result(s) for “okapi bm25 site www eyespy cy site www be cy site who unesco org site:arxiv.org” of 235 matched · page 2 · 504 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 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥“MOƒ@†ïþй»À.$M­­1¶ÚZªÆÃZ6”¡

https://arxiv.org/pdf/2608.02942
%9 Zþ•—æÊÑ)°ŒÎ‚ä2‹$�qîH&¹´•$÷ÒêÚcY—€·müâÈ6aÔtíɃ¤ ¦( e‹6hDÌ:I'�ài>dY± ”¿F«îĈԫjQM_9æÑv

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�–YoÚ@€ßû+æUxï])Š0ÊmC ©òà‹ %PqeÀ

https://arxiv.org/pdf/2609.18842
‰‡HE„*€QÔC6Tßnn ÞHöi{»9@}ÚŒãæ}m¸þx9î£íÇpkúßér õÖæu»\oV`8zA½½ÞíÍ·dÿ z˜î_wë_‡í½V¨Ÿ|Ê0õøørøý+Å{ð›àÏv¶Y£ÙŒU˜žÎ-Í|½> endobj 28 0 obj > stream xœí\[sÛ¸’~ß_ÁÇÝšJ@Ü�ªSSÇq’ÉÝvn35ŠÃØ:±-�$g’ùõ§¿HA"åȶ2³[µå"‘ З¯Ý h«ºÒuå*-+©*­*++­+%

%PDF-1.5 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream

https://arxiv.org/pdf/2508.02685
5 %¿÷¢þ 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve FinanceChi-Sheng ChenAidan Hung-Wen Tsaihttp://arxiv

‹#Œrjì[]rÛ¸–îg¯•y¸q•(“”DÉ~SdÅVb;¾–»û¦;].ˆ„DD¡æ�ܲЮ»‡Ù¬ažæ­w2

https://arxiv.org/src/2608.03898
+™ï€¤D9ŽÿÒ™[S5ªîP�àü~ç6Í‹~÷ð´_ÿ«ð‡ïó1ñqšMýÄçîÓl¶Ú?X-»Ñlší†ƒ~–Õrì˜ù�Ö³õIã„GŒý)•ôòU¢æ�XˆàU­òz,òYÞƒ»ÁUÀñGÿ¿*zeµ©ÊI¨"ñ0Í�'#9ª�âdM”ž¿Õò Ì…{µQ,UHC¬¼KäBTß¼²M»•Oõj)ìZo»\Ø+WÍæ˜;Ò}çÞXïEO™íd;ÿjqýåŸ�¸F£à;Í¡íßùšý7Ú­vnÿ »Ùl´

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�X[SÛ8~ß_¡GØN‰u³¬™Ng€6�X

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@6šBBqÎ\ŒÎ±

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•ZKsä¸ ¾çWð8NÕØâ›Lmm•í©\²»³µÙœR{�»e

https://arxiv.org/pdf/2604.05327v4
[5Ý­Ž¤öÌä×/@Qj‚z8¹ŒÜ ~ø’ 4‚L2/˜b\¦™P3LxÃ,“F1Ç”¦YJÞ@†róO(Œšï‚Ò±‹üc\°-Oû¶úÚ‰Bõé¹i�`÷VÝòSszmŽÇ Tı>¡ïúôBÃ}וŽ]G®©Ï—öÜt‹æXwݹÚÕÏõnŠÉÕnן*î�ÜWÏ€pÔr©V{ìú¶9½à¤K.m¢¼²Ž ê™OM»/ 2мUm[•»Áý0¼oNýîµzEáëãùPƒt�ÇU/:6Š£Ú7÷ÔnWW§] 0¥x‡†u

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�Y[sÔ6~ï¯Ðc(±n–4Ã0.¥¹•@)txp'ë²±SÛ

https://arxiv.org/pdf/2607.27063v1
Ó®ÀÕgFZ\Cfk™)Y­Ì¬E½ 3[ ^P™3¨tæ Ô &óõ‚Í|`=—Åz> žõBV(Ö+²Â±^™•e¼[’ŒBe%é(�¤Á‹…A¦À›LZ—ȸL¶] ¾S(¯�

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ••Moâ0†ïû+æ^U±;v¤ªÒÈ.%�6á£éª‡´D4RK*

https://arxiv.org/pdf/2608.00458
ù~ ÏÞ›Í�àóàÙ½_õÐLŠÛ¶hù*®|ö:ÊË6å~�rx¿U¼/ÊøÓ€:¾ÌÎ_A)Ÿê7ÍòSóM­µ·´:º[¿*µRâ³¶O{ôø×MîÍ ÚêÝ|§ký•®Æ+uÕ"¨ïÕr¨íB ™cYüCZe[A:Ñùミ> stream xÚmTÁn£0½óÞC¥ö�Ɔ@LE"¤¶­šhµ×œ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥WMOA ½÷Wø˜\ÈŒÇ;B úqÚ*jO‡”¬èª$

https://arxiv.org/pdf/2608.02386
*d€erµí8˜Xø j­�ñwZg¸SÉOºS)ÜéÝÅl\TæB6Ù7{ÖéÍ '@&aY™‡ŵ¡‹BEÔÉÉê±èè‡

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ…XYoÜ6~ï¯à£] µxé‚©ƒ¶@“&hÒ§"¸Zz—¶.

https://arxiv.org/pdf/2608.03340
öjÔZ0¼¼høÍáÌw;3�ÍB ã”p-²ÅÁ�ûÆY¡SÀÑ cyß “Ø:kØœÁ�Z‹>œå»aÒµóÆþá‹/ÄÕ7â_”Ó|%®þþ�rl%Áì&IMØì×kñƒøòËcsì±yT2Aë�²êô‘­uR2C¹>ÐúÅ[-ƒÿU(èò̓¶2Ã$

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•Z[sÔ:~ß_¡GXjˆuµ\uêTAXI $ÀÖyp‰áå$

https://arxiv.org/pdf/2608.01891
ÖðUž*IÁC�2‹žh ?TRBaˆ1AXO OqˆÎÐDfž ˆËáG�1Õ8¥>Æ’ˆ~´ ðŒá?!¨àðA„ ”@5Ƨ""¶DL$°B)ŸH€Û„ ¤Fà(P,A%¢$à†ƒs0U ä%%pŠã@¿ˆNL,%ØiÇ€>ÆxPÑ‘Ž‰¢ÀzÎÑ"QDq¢L¸Ò1à Dk R× àQ1¸åCOúPŽáù�“v±cçñ«'ø¥‘E0µÒ™©t©ò(Ö6Å”:^Û0ñ8NlŽ) vÑ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�”MoÛ0 †ïû.EA´¼ØJ¨îáæfJ–> endobj

https://arxiv.org/pdf/2608.02694
z¡jnc%#êåð⃣ð’àã(‰Z£+A×À^IT›ˆ»âLQ KYE0Ô‚+J¢ÚÉ„ âÅ¢XVL0¨46(V€•;¥Pšh+@N@·RQIBUé RÄbe‚Hs‰ "ScD

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥WMo7½÷Wð¨Ä™á'HÚŠÆiд—>(öÖ`I®

https://arxiv.org/pdf/2310.19147
%òï;Cr×ä.¥ ^éÍìÌ›Çá�B¥)VE?cPN9k”W@�WQ Q `à À�å/ œfœcø( ‚蜫,¿ä’g'¯Ðr ='€¨H£VüGÈ/#("ÍFdZ^Rd1*NIŽA´Š»§'·ðÂü,qÙÛ:4ñE09ô,õ`[_:Þ¨e,ÔòMtéìN½¤+ŽÏ_ÊÁKó®¨Ü�fDdÆÑ(ó¥gÜO+¿ð§ä?6óŒŠóg{š='å$D ࢌ™³åÆ §ÙŽAæ,¹ŽA&K%

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�[ßo$· ~ï_¡Ç»±G”Di€ À%iÚ IsHÒ¾y

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

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•XM�Û8 ½ï¯à±] ‰ú4P›n�~LÛ-¶»§E

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˜}>

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ}WÛŽÛ6}ïWðq·@ÖâE7 $(PtÓmÚ—"´L

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

‹I�rjì[ýnÜF’Ï¿™§èc"HöÎP¶ƒ³p$%«À²ËAr°�\Ù3Ó‡ä’MI³‚‚}‡{Ã

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

‹¹�Ù^ì= xÕÖU�BEPPÙÆ”Òihii¡ÊN¡U6Yd+Ë$™4¡I&d&ÝBD”U\PÀý=—‡ .€   O

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·

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•XKs7 ¾÷Wð"“øšÉdF¶í4¯IÚS'Å^»šÈ–*

https://arxiv.org/pdf/2608.02817
02817v1) >> endobj 42 0 obj > stream xœÝ[ko¹ýÞ_Áo›`aŠïG�íMb Ùdc·»mcyìN#i\INâßs9#i$�lKã$F±«pwÈsŸ¼—¤�f‚ÃŒdƲ ˜qL*ÍŒgÒYfSÂ3™ÂÏ‚Ôkf%sJ2«˜÷ŠYÍ¢6Ì&EtÌZ| ‹~ >µèÈzÜ&½¶ÌF&CŒÌ ôìs’)%©G¦4nœfÊâ#g˜ò4’EsŽ©€qœGë-s@•`

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YÛŽã6}߯àc÷C¦Å; ºgf±À憽H‹K±ߪ

https://arxiv.org/pdf/2608.00785
3i‚Ocª›Ñ{&à=÷«šÜ6*Þ·Ä Ñ““ xÀÈŸb”Qi‚´ÏØ«ILÇÊŸ”cY&e™&¡

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�XKoë¶Þß_ÁeR '⛊E‹»¹}ÜG7ÅY0m«±%

https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•ZioÛHý¾¿¢?Ú$fŸ$�Á±rس¾b;“c1h‰¶¹#K

https://arxiv.org/pdf/2608.03063
æ0ù0)ûÂá��ÂãqA€·/nÖG7“K¾Ã~¦áP–6$4-a=CYå‘6,P-ÄuÛ•Ä*óÚOQk¸3W‘÷D“7«UZÆ0úüÒjLâ¬OÈ£óZ³ì:TdÕ›²ÞO\þÓœ|޶O‚“É)Fiû$ê«V ˜�§•B‘öE§LÈ-&âißàoèû¼¡ïó†¾Ïú>oèû|@àóAÈ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YmsÛ8þ~¿‚Û»i#¾“3;;“¤×^Ú&m“¦/¹Ù

https://arxiv.org/pdf/2607.26188v1
‚@‰0P¢¨ˆp^ñÔXH9�{ˆÿ°V¦kCª¹Ê®í0p+Ò©¢ˆo]P$cE6UäBE¦ HÅŠÒÄûÀÅüò”_ñë ŠL¬(%›Gdû‚"+JÉæ

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ•YÙrÛ8}Ÿ¯Àc{R±ˆ�$ªººÊ‘׎l«#9KMu¥h

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-1.5 %� 104 0 obj > stream xÚÍ[K“Û8’¾ûWè¶TŒ ’³'¿Ç=ᶷ˽;Ý}@I¬·)

https://arxiv.org/pdf/2006.00342
R-Rv×üúÍD&À‡({:¦ë‰¡D>¿L âÕý*^½}òâÓ“god"W¹(ŒIVŸîV©Y‘¯2eDš¤«O»ÕÏÑ˶¹+OëþðîýëàÌœz?õà ß “Û¾ñŸytXÓIÑn÷¨À?f ,#C� µØ�)èl/à§êTŠUYJé¹ó|ýyW•�“Zÿ$ɹø6¨°a˜E2¦v€PC(èë¦xI6=ÀóTÎ1Q"6E¨dôôiΰp]u£|b(j�‘6—`ä~ºr�·Ú°2püÖIz´ö�‹KšÊL¾bAZ

%PDF-1.5 %� 7 0 obj > stream xÚÓÎP(Îàýðendstream endobj 9 0 obj >

https://arxiv.org/pdf/2303.12712v5
stream xÚÓÎP(Îàýðendstream endobj 11 0 obj > stream xÚÓÎP(Îàýðendstream endobj 17 0 obj > stream xÚÓÎP(Îàýðendstream endobj 20 0 obj > stream xÚÓÎP(Îàýðendstream endobj 23 0 obj > stream xÚÓÎP(Îàýðendstream endobj

%PDF-1.5 %¿÷¢þ 185 0 obj > endobj 186 0 obj > /W [ 1 2 1 ] /Index [ 185

https://arxiv.org/pdf/2508.04671
485 ] /Info 411 0 R /Root 187 0 R /Size 670 /Prev 2921183 /ID [] >> stream xœcbdàg`b`8 $ø;A¬. ÁôH0Ö î>�Ä�X�`ž$$,�„@ �Pñ)™$ÄôA²—@{AŠ÷ a�yŒY@‚í*ˆÕ $xM@¬• ÂD(201*�¸ Œ£Ä(1J c‚Ñr ]0 þ-í‚Qb”%€Þ0T endstream endobj 187 0 obj >

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ�YY�ܸ~ϯà£`fÄ›‹v,âõël^‚ÅB£fw

https://arxiv.org/pdf/2608.01785
振ÊÎ%—ÆŠDª(rG\QÄbE*UA^QÄcE&Ud¯ÈFùLi )� ÕW‚“LS€i”Ô×U©XUñû²

%PDF-1.7 %¿÷¢þ 1 0 obj > stream xœ¥ZM�¹½çWðȸùM‹´6Nb¯�õ ì¡3Ó

https://arxiv.org/pdf/2608.03788
’NX9üõ*’ AYŠ*De=ФȲ"*ålTÑ*ÇQ>æD*:å- VÁ8½ >vxˆ¯Ф’É*f•ØàR%ˆHVeã$X“qëP¯¼beõ%¯l°¬x¢Ç=€2*H 2Œç@²ø“�"çXAy¼Ì¤(ž;”hLfEÑD•½¢äIå (gÜG´Åƒ

%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