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arXiv:2407
from the top result below
https://arxiv.org/html/2407.17789v2
org perpetual non-exclusive license
arXiv:2407
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/2608.01366v2
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2508.16279v1
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/html/2608.03577v1
org/standards/popular/iso-9000-family specifically ISO 9001:2015 Applying the same logic to translation production workflows means that MT and AI must be incorporated sensibly to achieve manufacturing-grade reliability, risk guarantees, and robustness
https://arxiv.org/list/cs.CR/new
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New submissions (showing 32 of 32 entries)
[1] arXiv:2608
https://arxiv.org/html/2608.02975v1
com
Abstract
Large language models (LLMs) have demonstrated impressive performance in MQM-based translation quality (TQ) evaluation, and recent advances in large reasoning models (LRMs) promise even greater improvements
https://arxiv.org/html/2607.26327v3
contractual remedy; and with liability insurance, the signal-effective quantity is not the damages promised but the risk the seller retains or is individually priced on—under pooled premiums a warranty separates only if the deductible satisfies the original condition, while experience rating restores it slowly
https://arxiv.org/list/q-fin.MF/new
New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/abs/2607.28847v1
We develop an effort-centric framework that measures an applicant's effort as the minimum weighted cost of feasible changes required to cross the approval boundary
https://arxiv.org/list/econ/new
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New submissions (showing 21 of 21 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.CV/new
Project Page: this https URL
[2] arXiv:2608
https://arxiv.org/html/2608.03372v1
org  GitHub
sourcecontextcandidatememoryalign claimscontent-word overlapseven checkspolarity â‹…\cdot condition â‹…\cdot temporalhedge â‹…\cdot attributionbrittle â‹…\cdot truncatedflagsevidence + citationverdict policyhard-codedpasspass_w_flagsrewriterejectuncheckablenever a passwitness (optional)one sentence, one
https://arxiv.org/html/2506.01844v1
However, existing VLAs are typically massive–often with billions of parameters–leading to high training costs and limited real-world deployability
https://arxiv.org/list/cs.SE/new
Through an analysis of 1,966 open source projects, 1,355 Github issues, 444 CVE reports, and 361 StackOverflow posts, we systematically map the feature support and real-world usage of globs across six common ecosystems that utilize globs
https://arxiv.org/html/2401.02063v2
org that the field of high-frequency GWs will go from the discovery of the first stellar-mass binary black hole merger in 2015 [9]
https://arxiv.org/html/2607.28847v1
4 Positioning and Contribution
3 The Effort-Centric Fairness Framework
3
https://arxiv.org/list/cs.GT/new
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New submissions (showing 6 of 6 entries)
[1] arXiv:2608
https://arxiv.org/html/2407.01757v1
Opportunities and Technology Feasibility
1 Introduction
1.1 What is a distributed instrument?
1.1.1 Distributed Instruments and Sensor Networks
1.1.2 Distributed Instruments and Swarms
1.2 Contribution and Organization
2 State of the Art
https://arxiv.org/pdf/2006.02318
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/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
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:±-�$g’ùõ§¿HA"åȶ2³[µå"‘ З¯Ý h«ºÒuå*-+©**+++%
https://arxiv.org/pdf/2608.02694
Ìfó_דiF¨íp`°Ÿª˜ê›ÜŽÓe¡ì ÿܽUœ/&+²éKø¬ÒSÐV‘O„` ˜Þ
https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon
https://arxiv.org/list/cs.NA/new
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New submissions (showing 18 of 18 entries)
[1] arXiv:2608
https://arxiv.org/src/1910.03771
óÀpGy±¬ÊŒÁ nè“i¾‰®{+%¹é¼Ó –âû(0Å0À¤[(¡ZMô¢: ¥w_°†:õÖ'cjWU]�á°gmU ‰Ó—“j#“ÄCËÒT�B’ß#§ìJ¡G× ¯‰žy6/¥Çá¶7V àifÞj˜*Ig2®†fÛdVNƒˆ�b\
https://arxiv.org/pdf/2608.02872
‰¼~ýž Ðè™ÜM•CÐh¦uút쪅 :Ó˜Á,‡™Lè6³˜ð,f3Ý6™Ã Ã`.35�yÌ´aš&;äúÁSD º¥ r›YÆì¿ÌMi…"{°.Ò|ùkksìσ¸BbŽÎz7=9'ÜÖ9Qš¤-k˜Ó°*5«ÂÝÕéÇâxb+ºæUà)– VKÈ£fQ˜ŸvŽï ŽBd°òÒ’ šñ¸ K‚Q³$tNû·™‚n[ ZE•¯cÊŒ3+$À.åxžÝÖktûööø´Š¿ºÒÜ–7írŽ—eª¹Xñ”\W”ü0|z
https://arxiv.org/pdf/2006.00064
„`Ì1„…6ùܦë·Ô†ôÜ_—&À|ãfã( µ”ýâ Î0ó#Éó�ÊD Üô-àã}ÊÆàüðöÅ8ëV"KÅY˜HŒïí1‰ÀÞ£;mŒs¸ïhõÑʳT“¤Â4Ót#If£9 ÷ój»7* )ߌٓÀøßžëÆuW†4ø$_zM†4`¯žrçò- 9 “ܪÄʇãüÈñŽL˜J– íFÒ ©9$jÓÎRÅüG¾�qk"ÁlêX¤jë‚
https://arxiv.org/pdf/2608.03494
Ûò¶åtøõç[e‹Ôà¤'hc™\$×·fR´ds™0Å„ô™ÇDä3Ÿ¹Žds}‡…L‰�EÌC¯p˜‚D0ßÃ7�È� —…ŽÃ„ba ™ðXä &ˆØq™ðàè„‹ÏôNÄ$ %“Dê&12t“)ôãщðÇC—2,.]íºB—Ij¢/Ô ‚ƒG¬�¥]Ç‹˜+ñ\¹.þ)´+üCæâÑ1Xqƒ � y˜Ž‡Aàb]å0å‚H ¦Tˆ?’)L*—©À÷ÐÈTä`£ Òƒèp¨ Rh™ïx Ž˜
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›