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from the top result below
https://arxiv.org/pdf/2508.11152
Adobe PDF Schema pdf http://ns.adobe.com/pdf/1.3/ Trapped Text internal Indication if the document has been modified to include trapping information XMP Media Management Schema xmpMM http://ns.adobe.com/xap/1.0/mm/ DocumentID URI internal
https://arxiv.org/src/2006.00342
¨uXÞ{Æ8•ö}ë»z÷ú®oŸ‹™ç¹ïÿýûÿŸßÿt߃BYèê› ÷íÛ'ô•.¸TT”ùßàúð…B+ ¡•€„² ƒVB¡ÑŠ;ÐBêk4ýâ°ØD& 1étö_Éý»ùÿ£�îâÍ€™lØëï¶äŸë︔™Ê$$Ì`}=™ÿè(%eAþïPB+)ñò_Lÿ“ÿÿ…KFÊÌR^׉î Ë+!Q��™å.Þ�¨ŒŒ&²éLuG%’`S"‰ìè© Õ�;À¤™M�Õ¡©è™X@¦Óô‰l0¥ˆRDÉ£0òJ(+´Š:
https://arxiv.org/pdf/2607.27188v1
pËyFþÐE®Ë¡F£;¸å{ºƒ[¾WÎ4šr ‘ŠÚë®×¯»_àÙRëŽÞÏv×®+÷ËÞ>S¶ÆíŸÚ‚Rv‘|uŠîŽ|žØ‚Ò=Ê韥øÚ”ó~ò"È'àìOuüZwE”ªGŒá£i›Dˆ§óÉÓwX )¨›¥,Á‰€Pæu‘í¯´n&ß‘ ¿ÍÛü«v"RÞX`> stream xœÅ[]sÛ6}ß_�·Mg7$¾îììL7©w“&mÒ4ÝNh™¶¸–E•’Ó¸¿~ÏIYveËÓéxh@äppïÅý Hã´�Â8#¬GaE¡Q8¡LDé…ŠeÚ(”QèÀû…0÷=ZÐ{%¬Â=¯Ñïáè½m îyiQzáïáÞ�"Xƒ²
https://arxiv.org/pdf/2407.00225
-scale, Independent and Comprehensive study of the power of LLMs for test case generationWendkûuni C. OuédraogoKader KaboréYinghua LiHaoye TianAnil KoyuncuJacques KleinDavid LoTegawendé F. Bissyandéhttp://creativecommons.org/licenses
https://arxiv.org/src/2006.02085
rúž�Ù¥•¸Ó]+Z¸W�—ǧ'¡-tfž•ˆÀ�||þâå Þ»ízŽmE{¸�:oŸ=W–ãÄélæ.Ø öîÝ×äþ— o;’›0°?–SÆ‘ñbŠ EP˜ðÚ yoäjz0H´'ÞæÒOŒJœû²�û»ˆDÈv]¶+Øià@È „óÝú©—¸¡·ü¢ÓùWO¦Ã�eûV”ìÙ^üû�±1þ†ÃýAÿ‡Šÿ£ÑÁÿÇÿÆgg§³³ÃNçnÌàîØÏ…O|ÕÃÞˆæ¥Ã®ÝdÎ’¹`Ž´ã$rC–
https://arxiv.org/src/2006.01318
Â82n':¾¡ù¿¨}}w™ßüÓsþwMà ºÚPþ7&€ÿ7ÿû_ñ£ò¿G%07#…ùGiT‰Ì,p;1#ùÏ%e–•O™ g
https://arxiv.org/src/2006.03271
{ûÞùÅ–Ì 3ƒù*r”™TúfϨËÏ~§Ÿ{øyðà>¿âgùõèàáƒÏö+O‚ê¯:õLªâ±'#�i?ÔùØKR}ŒUšíy½Ÿ3ó²Ro¬ÎU¨Ày“Úƒ©Üedƒ8w+%í²¼wëííV6µXìõvN8à¸W^;ð�6¬½èÉ„ýx§U‚a ÎKÇeÏ �X“±$Õj»Ž&„Øá„ ñ�ïõQ8MÊÈŽÜ�¼_üPfÙ;F¿/^½ùáíéÉëSïõ§/žÌÄ�¤I�2§Xác†C„êvøt9
https://arxiv.org/src/2006.02055
×ÿÔé3Bùâ½È¤/;?æ$þæûßeRø ™B&ØOȤô2ÁB&åŸ�éÐOȤò2AåF¨ŸñMýŸz•ÓÍ?_èuø×þ¸5²–%ÐD2æÛ?²ÿˆHwý/øt!wœ¾ò¹êÒø~õßõ?Kð °ÿ¸fœœ¿_ŒoÖÿôzP ûÓÿ?0åÿ¯ÿÿ{d¯©®¾,TN‘uoýäêäÜMjFg}#+ $Â;º±" ˆ€s!»‚”誓 ˆ>ƃ^íÐ[zA èho¤UŠQáØ€Þ‹+(�øTþ©lX™oZ
https://arxiv.org/pdf/2407.00125
Reliability.Performance.- Software and its engineering -> Software organization and properties.- Computing methodologies -> Artificial intelligence.) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False
https://arxiv.org/src/2211.10435v1
HI¶÷ÊÞÄ·RíÆ&8˜é×§_¦e]&K{n>ÿäþãçÁƒ{ü'~öÿä¿OîÞ¹sïÁ½ã“;ŸO&'Ç>Q÷>$Qñ§ö•.•ú¤t®zÓº·}ÿ‘þè ›W¥;Ÿü8ÓÉY]Œ+sñþÎ ß¿÷ýß½òà~Oÿ°“ÉÝÇ“OÔñû#áúŸqýSo’ʺ|û„L ùC3˜fzf²-¾|馄 jZ˜|17vûD�Ù�û5¹9ž@à"à®0§™©Ñl3b0G ªY£s 3 W‚Áêø¼t…ùáí¥É ß->–„ Á
https://arxiv.org/pdf/2608.03358
~þ[6– )Ù ± Çœ®}þ¾ÊÜÊ+êÖ7«½Ì…'0ÚoØ;ÌíÈr1ƒRÂoˆïä‰|/ÏSv¦jáVé$BVé¥~›„»áK¨ÿv8L)–R]y¦#½Æ,èÝžë(©\©ß6°Þ_Îgt×ýzÄ“7UV6
https://arxiv.org/pdf/2002.02145
áÀ߯«›ÀÌjDÕå²»«ífðãc;ZæÕÁŽÌ«Ÿ¶®MfGÑÏ}í q•]/¶ìÞÍmÞ¯¶o⣩²íÄ0ZÇë²è^œx]fçkn{ÕÿE+{*ʧyÄpg�6;5’PìŠîìVž¤pH8$hù—mÚ¢*ß„z•R:")ó¨º ÊÖß3‰qŸûX”ysO'Hî)-ò"ëî}³‹³‹ÍÛ[ÛÙ˺s �á3 4†{´¢p¿YôdšrýØëKæ‘+ˆ™ÇÞ a }ÀõàíÑ« W€‡Œ{ Fvm734…4˜‡¢´�A«»èGÞÿc
https://arxiv.org/src/2212.07841
JœìwŽkc˸«0-pª2¹Ò�üÄë'{„@qïÖ\ZæSv¢(ï;¼ÛbE¬7¼óêb�4Q‰Rñÿ8Ö
https://arxiv.org/pdf/2407.17789
ðȇ)d`Š–Á$…ægៀA†HPŠÐ„; ¹s=Ú1PhÐpPe0fÆ(¢h, ¦Ø@�F%;â¨�
https://arxiv.org/pdf/2212.07841
L‰o3¥„¼›î€è\,ÖŸ–DÄõ Ïj+” >éu57§qˆËË…g7PXîðs캦f^ÔìøÍçKèGoÕÜÒk*/¥©¯w®ód*àäêŽùûi÷v‡÷ÂtNüxA˜¯×]G©
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/pdf/2507.17609
כּžñÖöìfóëKêÅ#ÉòÜXÜÎRE>¤(Ršc©x%M%*ªT%+FY¥*¦EUWÜÐJWB˜ÊT’Ô%•¢ð‹VªV0ÖBW”Wš‘ŠŠJצ¢²2’�,`fðr>ó(p°šV8�sø $!XÅ`Š$ð›Ão¿Q�šWL‚¿A”æ¤b Oø òŒºQ0 ‡(W•i@s%ào`ÚT\€¥+j%+d%ŠVY%ÐáGH «’²€Š–¢>Âb ¢ †W~„" Õ°®� (KIŽ×•”ø5` vt€
https://arxiv.org/pdf/2608.03086
[ì–H5Iù˜_¿_D$ɬ*–.{f°ÀV2+ψ/"#"³²lT¬Ò�SNY«•W®±*¨à½Š*6^%ÕØ¨¥ë‘(m,´Ò®Fb”öà_4¨wJ§€z�1©;>/Õ?�}øXU‡ãoKõAUGÏ?þ1>ÂîÏ�&_ÞŽ–ãùùhþ§JaÕû—_˜ƒûÓél¹ÀIhF÷]05žJ¡”„ÜF(môªåÓñÉdô`ö -©*€¶ˆPób4Ç´è˜ðWãÅìr~>8:|z޵ׇÇuÈA€%5Ãϵ^±jn°T°Y4Ûö ›eSî*
https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
https://arxiv.org/pdf/2608.02833
�aI{ô4IïÇ{:ãu‚öÜïIùÝëâC@ïuµX½Ï{u…[Ð�ývÏ'jèÿåäêj:3{¯Ÿ}¥Æ¯ÕøÅâ‡:©ñ·‹å›éšúç'5~ÊÑ×�¿ªñK5þ~z¾Â[ ¦€%Ñšá’ÑÞÐ2$ìÿúælõ¿«©ÿm6ÿ¯ÿPÿýd>_¬vCzÑ ND;8¥5$8]\>Ò¿goo–S-=€RÖtŠ4-Úç �¦…"Á\Ãs}sv�ag‹¹~¡CªìtfŒ�ê 4
https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction
2.1 Episodes
2.2 Semantic Entities and Facts
2.2.1 Entities
2.2.2 Facts
2.2.3 Temporal Extraction and Edge Invalidation
2.3 Communities
3 Memory Retrieval
3.1 Search
3.2 Reranker
4 Experiments
4.1 Choice
https://arxiv.org/html/2608.03048v1
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https://arxiv.org/src/2502.05512
ýöÑzð«•wv¶e•¾ØÓ3wºA�ùÑX–ÔÖÖ6\*u®J¿Â¦¬>õ x™ÎLÝôƒ�jŒm5ޱÜV´{üŽ+Olî²¾NM IѤ§¨ðcÞ-§¥À¤ù eüâæÖ«n-N]9%D̬ÔP¦M0© ºÉGO»
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
https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking
https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/list/cs.IR/recent
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https://arxiv.org/html/2407.16741v3
2 OpenHands Architecture
2.1 Agent Definition and Implementation
2.2 Agent Runtime: How Execution of Actions Results in Observations
2.3 Agent Skills: The Extensible Agent-Computer Interface
2.4 Agent Delegation: Cooperative Multi-agent