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https://arxiv.org/pdf/2006.02318
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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

Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

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https://arxiv.org/pdf/2608.03883
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Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (), Correspondence: Cheng-Fang Su () “Geometry is not true, it is advantageous

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
org perpetual non-exclusive license arXiv:2607

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

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

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

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2
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Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin

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https://arxiv.org/src/2405.20232
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2608.01934
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https://arxiv.org/html/2608.02613v1
2 pp, exceeding MemSearch reader scaling (+10

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https://arxiv.org/pdf/2309.08431
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https://arxiv.org/src/2608.04003
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2303.12712
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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/2402.03300
íÙ­›½JÝÉU‰¯»Ñh4 €²'¢ˆÆ~¶-Ùü«ß鳟gÏöÔ7|ŒïÁ_»ý¯ú{Ïú»ƒþ^°ûÕNÐßÙýŠìü^ Õ?y&iJÈW©ò>º‡ð/ôãÄìÎÓ>P8a&£eá€+ÈÌ+FWãÓår£AwK²¦8†'ƒ€JW"ðÉ `±'|–ÖÄ•%á-[Ôˆ^Á“Að)gi�äµz6ˆîüaogYl'dŸÈ“�í§›Ë-Ò Øík’ýXz¶»âž·bÞܵ š›ìãMK];Vý�FúÄ‚O54°¡Ýï5´kéõ´Tyï

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https://arxiv.org/html/2609.03027v1
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https://arxiv.org/html/2609.02852v1
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https://arxiv.org/html/2608.00458v1
org perpetual non-exclusive license arXiv:2608

Consensus Measures for Unstructured Biomedical Text Annotations

https://arxiv.org/html/2608.03529v1
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

What Language Does and What the Evidence Supports: A Functional Role

https://arxiv.org/html/2608.03099v1
It counts as embodied correction only if it changes a later executable decision

Learning to Control Unknown Strongly Monotone Games

https://arxiv.org/html/2407.00575v3
Even worse, the manager would need to collect the parameters periodically if they are time-varying, and then solve the large-scale optimization problem again

Producing Policy Recommendations: from Statistical Decision Theory to

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

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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2006.15704
@ ÇÌP¿Þùef€îjͬŸº*ë@ygVw/wÁÝO¿ ô÷»Çß}ó.ï ¿Ì²äîñù.Ïü(Lîò¨ð£¸¼{ýÐî}ü/ZÖ! ü$ åÛm�1ó¸LíÇû¨@÷8Kæßê|îÚºÂWP4káÿþ�F‰÷'…óbP¨4Jñµê�´Ö8¹yûuù8/ã©êëÆq Eê—¹=�¿?ätU?TsEÏ ï\�t«M‡p®j{Asjk'�NË“àéA'ÛÆß›zþ šà—úÏ]#åcs”ï�M_· &€Ÿc›Y° í„+ÜB7q^