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Formally, if NnN_{n} measures the maximum neighbourhood size, δn\delta_{n} is the smallest probability of observing a relevant exposure, and nen_{e} is the expected number of sampled units, the paper requires
Nn3/2​log�(Nn)δn=O​(ne1/2−ξ)\frac{N_{n}^{3/2}\log(N_{n})}{\delta_{n}}=O(n_{e}^{1/2-\xi}) (99)
for
from the top result below
https://arxiv.org/html/2607.29281v2
This version is a work in progress; please feel free to contact me if you find a mistake, think I missed an important contribution, or just want to send a comment
https://arxiv.org/src/2211.01910v2
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https://arxiv.org/html/2608.00648v1
Distributed Multi-Agent Systems
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https://arxiv.org/src/2006.02924
¶«ˆ `Ä‚ ATT,ðŸ÷=eÎÌn÷ûþ{¿çûÿ/Ï£$»3§¼ç=o/ZÀΈêSëü2ÉO—.9ø/ùqüÛ5³SV×:Y�ºté’Õ™üGžËÊÊîœYGÍüw.ŠÿĄ̈QÕ:‘p8ZÛs§úþéOQ@óè�jS÷æjâÊX]ˆè¦ŠªÑ2]5Bј5Â!SõèeFȇŸi>ÍŒUx%bDË‚nµ²Ì誦5ò ùŸáÕj4¢kÑ ŒUIžR½áÐ=â×C^˜$.U “Ì€Cö¨ÐC>cj†ª(ýÉt†O�¨Ñʰ
https://arxiv.org/pdf/2309.08431
Y–‘H…¶cht&ášsbˆ‰\GQ+ª®� ˜ÏoÊe›¬E>ϧ_›ª9YÔ²uŽÖÖfÂ�Eg2OŸFEŠ©8åóât %jgLdzÙN éx�¡R2ÓT0bØåD,§ªâtÏq·ÓTElZŸÙpFc �b,ãôý/fÜÐæ™n˜ßmYÍ®òâ–f &ËÇÓM�´BŸÊoÒ´¡OæÏ†áFBMO»ècs™ÑGðÒÒ ÿ\u é2…¹›Xš�IåŸÈò¿oi"endstream endobj 250 0 obj > stream xÚ½YÝsÛÈ Ï_¡·£f,÷‹Íô
https://arxiv.org/src/2104.08691
ÕC¬³äV¹ÚÀ*†Äãb5œõšÝ„ÁÙÀÐè¬ÑRÑÝSöY¬%eò®)Á9)"¿pÚb�½d–“ˆÕ-Ïgò:D¯(\¾µ¥V¯d^ÊVJß*J]ô—ê¿6PWkæâÊI]q�…ígj—6V“ ‘> ;ð3=ß§3Q‚MŒî,À¿ÉH-Êseö¡ÀDkvè{Fœä3Œyx^x±¹Á ]ÄŠ˜¦e{´±m´lùä@@ãÈS‘'Å:FåV¢ßZ}ÑwÏÊ™§ªÑÑŠÕfC•ºtP,ö›³ôEW©}ò¤/üb_j g |¦àÒbmY¤®ƒ�‘±[)Á¦øª‘%+€ªë¯µ“µøÐ(l„ÎSÊ©Ìt¼ºQ†OÒUh§ñŠû´xß~éÖ¦¥žV/O�â
https://arxiv.org/src/2405.20232
ežeaMôçifÕ·–ý²Mã³L×âêIݨchŠ>wa�1rÃúîÔv‘JŠ”Pcç):òüôMjA¦¡ÓKü4˜l”Ã}]$có%ͱo·§ß9ŸþE†¯Iöù¸;¥5~n;Yç•üÊmTkkáë 8¤½Oú]kú=@ÁF�uN=1€HÆ$žëa‡Á
https://arxiv.org/pdf/2506.01844
‹r�“9æùd ¹6Þüp�ªV‘Li§‘Ž…C®Î$§¬-–,ý £ “;ñÆÄ€Óœ½ñMµ¯ÿÙ’og៻®þç®h‡s«Î"�섲’üYïq®fH¿L¾Ðô¸ ÿýX}¬ýoŠfWœÔQœég¥ÝãüzÚe’`vBûíºn˜ò¿u‡z¬ÛêÌ(ceœÏI¼ÇùõÄ+°›¦jIüëº|¨ù·=¥�v[ŸÒŸÄØI¾øŒô{œ_O‚¤g²Ãÿ¶è»†DîLg(‹æ”|SX|Vêʯ'^#%g¹>~ÑCÞÝÅ\«’(‹^÷î0 gJA¬O%¸Rp§*êíÿóq¹~ moƒ™’Ý©«Ù±o=iÿg{¢‘Ó°çÅ~»ùmYÛáH:ð ÁJ�¶ˆÝ¢8œV‰(AŒ¤Þ
https://arxiv.org/list/cs.CV/new
Project Page: this https URL
[2] arXiv:2608
https://arxiv.org/html/2604.05327v4
For these problems, it is therefore always optimal for the decision-maker to proceed as if the likelihood were correctly specified and select the resulting optimal decision rule
https://arxiv.org/src/2006.00064
" ¨ˆRl€ˆØÀ‚DÞ{ι÷Î�Íý}Þßóü?ÿ÷}ò±$»3·ßS¿ç=ÏŽ„uo$5bŒ+÷oúiÁ~Úµkƒÿg?ñÿoÕ¾m»r-[³'ZµmÛ²mËr-Z¶jÙªm9O‹×€ÔŸ¨ÑÃO¹°eE.ôÜß}ÿéψ0WKÊpÚòðvÙ…Me+%¤£Ò‹'`Möž7œ,´'ÀöÃdƒÕ’”U´hÓLØ3h5kÐÙEb›Êh� ‹µöèÔSÄ‚Ön�v¦, 6u�\ Ÿ2ÄRóeWV6`�å•ÀxͰ–äc›
https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2508.11152
3/ Trapped Text internal Indication if the document has been modified to include trapping information XMP Media Management Schema xmpMM http://ns
https://arxiv.org/html/2608.02673v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2506.01844v1
2 Related work
Vision-language models (VLMs).
Vision-language-action models (VLAs).
3 SmolVLA: small, efficient and capable
Overview.
3.1 Model architecture
Vision-language model (VLM).
State, action, and feature projectors.
Visual
https://arxiv.org/pdf/2407.01722
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https://arxiv.org/pdf/2006.02318
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/pdf/2609.18842
IáC4}é+Û×í»ÿ¢Ì�l/§ÓÑBãÑjÅ*{pÝìϻƲéOÞ(ïŸ'Ë$½¯ªì*{>íJÛïÚ-9_±eQ¬"ÛVßÎ$÷)ûÃÈM—ÏñP:^9À ^`„ª‰Ø ¤Ÿbr