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https://arxiv.org/pdf/2608.04341
) /Title (Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/pdf/2608.02764
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https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv

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https://arxiv.org/src/2211.10435
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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv

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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

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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv

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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/2608.01785
+ÖÑÖ1‡}ª$jšdKmo€Át‹u°ê«bUQÍHF8‘†B™!’0Ή"ÌX¢ —š…rb‰d¡‘ZJ‰ ø‰¦ðÁ‰ÖœPAŒ¡„Jb¹%¸ž;î — HIF(�¬£2fa@â>�$€Î@‘d`˜#­!ð•*M }šÃ'è3ÐAŸ1 Ç‚* søÊX ,Ò‚K Êfœ€3œjxð§xD¸†ý¸""Sˆàèà¦ðl‰0–‘H*øN¤Ì€È#•3Q™áD¢8¸,$BBŠ(ÎM”6°nˆ²Š0‚cDfDs

%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

Information Retrieval

https://arxiv.org/list/cs.IR/recent
IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
arXiv is committed to these values and only works with partners that adhere to them

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
arXiv is committed to these values and only works with partners that adhere to them

Information Retrieval

https://arxiv.org/list/cs.IR/new
IR) Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift raises two questions: what to learn from behavior sequences, and how to transfer the learned knowledge while the pretrained model is continually refreshed

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https://arxiv.org/pdf/2607.26327v3
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Computers and Society Aug 2026

https://arxiv.org/list/cs.CY/current
251-256 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2608

[2607.29380] The Tragedy of the Cognitive Commons: How AI Could Disrupt

https://arxiv.org/abs/2607.29380
arXiv is committed to these values and only works with partners that adhere to them

[1411.2842] Logical Limitations to Machine Ethics with Consequences to

https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons Skip to main content arXiv is now an independent nonprofit

[2510.01395] Sycophantic AI Decreases Prosocial Intentions and Promotes

https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence Skip to main content arXiv is now an independent nonprofit

Social and Information Networks

https://arxiv.org/list/cs.SI/new
per page: fewer | more | all New submissions (showing 4 of 4 entries) [1] arXiv:2608

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https://arxiv.org/src/2006.03178
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General Economics

https://arxiv.org/list/econ.GN/recent
RM) Tue, 4 Aug 2026 (showing 16 of 16 entries ) [13] arXiv:2608

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https://arxiv.org/pdf/2609.03103
UvÄW wZmÜËj[­¢I»IÖD8“°Öú¯ ©Aö4 Í-ªÂ¾ääû mr´ÞIN{úu’Ó‚‡¡�Ü c×¹àµôæ¬ endstream endobj 127 0 obj > stream xœµ\is9Òþ¾¿B÷� ¬’JgÄÆF`ƒ‡Ã`˜˜�]@ï´�én3Ãþú7Ÿ”ªZU]}pL­’u¤òΔJ…ÒATBé(¼ª¦ªqôTBkª×ZèhèY SyzažVX£èé„«ðôÂyKÏ ¼‰ôŒ"Tô4•ˆ�æc¬²h E´%¦Æ�–2ÔmõšïµM‡Á^èJa`:M�À‹ÛŠ*€a�i Y–P­5Mµ5U ¡M…K‚¡¬£J$ºm‰8ZYhç1† �ì

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https://arxiv.org/src/2002.02145
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Machine Learning Dec 2024

https://arxiv.org/list/cs.LG/2024-12
3251-3298 Showing up to 50 entries per page: fewer | more | all [1] arXiv:2412

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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/pdf/2608.00151
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2407.00391
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https://arxiv.org/pdf/2609.02852
n¢@£›ÀÜIØ‹«�Ü•ÿ EëüÜý‹AÝíÕÚ+³²ÇÁCYÙË pfÞt{˜Ä‡fô‡¾öS~îhKlFÇ6[„Ôc«KkJkKK¥u¥õ¥=ŽGêøÏFÊ–»TZWZzúoí²k¾ÞáiFà1o#Ä�šÈ2ÑÝ�í4ÆE;eæ•/ýü~×òsíy�¢HwÑí[¹l·ÍØõÝd ˆéý´ê6ûv|&oq÷Ý0