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Computation and Language

https://arxiv.org/list/cs.CL/new
LG) Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
We demonstrate that it can self-assemble functional circuits from scratch and rapidly re-route logic around permanent, previously unseen hardware faults

Report GitHub Issue

https://arxiv.org/html/2608.02609v1
A student can type “The king rules the land� and receive a clay tablet bearing the cuneiform equivalent; a museum visitor can render their name in the world’s oldest script; a researcher can back-translate English glosses into Akkadian for data augmentation

Report GitHub Issue

https://arxiv.org/html/2607.22511v2
1 Introduction Language models can now generate research artifacts—conjectures, proofs, experiments, and complete papers—more rapidly than they can be evaluated

Report GitHub Issue

https://arxiv.org/html/2608.03154v1
org perpetual non-exclusive license arXiv:2608

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3
I thank an anonymous reader of an earlier draft for comments that prompted the institutional extension in Section 4, and further rounds of critical comments for prompting the power analysis of Appendix C, the coverage-boundary discussion in Section 4

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2
org perpetual non-exclusive license arXiv:2608

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
Dispersing the rebalance through the session, Korea’s chosen remedy, moves the order but not the reference that sizes it and can raise the toll

Mathematics

https://arxiv.org/list/math/new
up to 2000 entries per page: fewer | more | all New submissions (showing 219 of 219 entries) [1] arXiv:2608

Speculative Correction: Draft-then-Refine Decoding for Diffusion

https://arxiv.org/html/2608.02625v1
Draft–then–refine and progressive diffusion

Internalizing Academic Writing Workflows for Introduction Generation via

https://arxiv.org/html/2608.03138v1
During training, LLMs generate draft–revision trajectories and drafts that are substantially improved by their revisions receive an additional penalty

Reviving Micro Real Rigidities: The Importance of Demand ShocksThe views

https://arxiv.org/html/2608.02817v1
The authors are grateful for the invaluable feedback they received on an earlier draft from Jón Steinsson

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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

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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

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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2608.02694
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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

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https://arxiv.org/pdf/2608.02609
,”œ6ýúJtLÊ’ ËÎåÌá5&(Bñ1„‰@!�H"PŒ(g(A G(E,Nüà .‰H€?ŠŒ0E)‡;H€)\9X0\áCSŠp & _ ˜lø$àO"ø ±Ã �Ò)\Á$R†|R7Ql�¢ª€ÅpNîSD°lšFœá °(A,â‚àÓßÞ¿G“�~oÐäJýh ïö÷µ4ªl,°ööN7…‚œí݇›ÀÔ dƒ�×F½ â'a8LÂÜê´ZCÜ1E“�ÚÔ °Þš/$ü޽:ÉxÔa½

Numerical Analysis

https://arxiv.org/list/cs.NA/new
all New submissions (showing 18 of 18 entries) [1] arXiv:2608

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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\

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https://arxiv.org/pdf/2608.02872
‰¼~ýž Ðè™ÜM•CÐh¦uút쪅 :Ó˜Á,‡™Lè6³˜ð,f3Ý6™Ã Ã`.35�yÌ´aš&;äúÁSDº¥ 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

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
Project Page: this https URL [2] arXiv:2608

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https://arxiv.org/pdf/2006.00064
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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/src/2006.00064
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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2104.08691
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https://arxiv.org/src/2006.02924
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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

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https://arxiv.org/src/2006.03206
?7Üœîj«®îª®®êæ9:9;18Ý þKøáà`ûñ ~þøÉÊÊÊ ÁÌÆÄÆÂÌÄÊÉÌÁÄ 1C˜þ[ýþqvt2t @ §–ï_¥ÿôÑ1šYØzþ2 ¼ä,¬­-@¶Ž�)Àhërp¤Ø€Œ,¬�C;;k cC§醶&Ccs [ #ÀäŠ`´::F¿«è´urd@ @ ¨š�¿@†@€�Èèè4y¬ œÁÐÌÌh®Â`a nÝÁÅœþv2Œ­AÎ&'