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Did you mean ip com pay site doesitreallywork org site lemmy would site:arxiv.org?
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https://arxiv.org/html/2412.12213v2
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https://arxiv.org/html/2608.03573v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/pdf/2609.18842
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https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.
https://arxiv.org/pdf/2608.03833
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.02854v1
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/pdf/2608.04008
Òo@©,m • UÒ*í‡Û[h¿/Ãx€?pówX_ÃbÙïÇa·]ønöý:,P5ðí·þ%\ñyC@?g{hu.ˆ†ir…‡² è|OY,¾Ä=;„åÔ]a¢s—gìèÒ~¾ÆíCWj\Š¥FÕ )%Í^ã›M†�ϧ;œ0çÌ|rŽÿfWñy+úÔîŠÎœ¾¢,vú„#¯6¹pòë�ýóæmåY)gn)+ùx*TEçf¦a)“ð8{W=áÖÖŽø$}•²J¯º¨«+뺰«*(½ ®ÂÐ\[Y; > endobj 14 0 obj >
https://arxiv.org/pdf/2608.03233
T½+Ñj¬±qø8¸ ÇM\¯c¡¤~wD`ž”Œõ%::P ÏsC`à zßzæ¯TrÔêH`$Å{0‡ÝF{ÿìŒkëʆêÃÆ„Ð endstream endobj 411 0 obj > stream On the Diversity of Analogy Making in Large Language ModelsYuanhao ShenDaniel Xavier de SousaCaio César Sifuentes BarcelosHongyu GuoXiaodan Zhuhttp://arxiv
https://arxiv.org/list/cs.CG/new
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New submissions (showing 1 of 1 entries)
[1] arXiv:2608
https://arxiv.org/src/2006.02759
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https://arxiv.org/list/cs.DS/new
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[1] arXiv:2608
https://arxiv.org/list/cs.AR/new
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[1] arXiv:2608
https://arxiv.org/list/q-fin.MF/2021-04
A lacuna in the proof of the old Lemma 3
https://arxiv.org/list/cs.SY/new
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New submissions (showing 8 of 8 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.IT/new
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[1] arXiv:2608
https://arxiv.org/html/2607.24970v2
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https://arxiv.org/html/2607.29442v2
1footnoteFootnotefootnotesFootnotes1footnote 1We are grateful to Carsten Chong for fruitful discussions on rough noise. We benefitted from comments by and discussions with Kim Christensen, Mikko Pakkanen, Bent Jesper Christensen, and Mikkel
https://arxiv.org/html/2608.03067v1
Computational Language Phenotypes in a Large Language Model
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https://arxiv.org/pdf/2006.02602
,{AûëG™JÐ ÝÅ’ùÈGRRBv$!·Aâ×�›àâ¦&MÜ”YI6[’2WeMÊ¢Š3V�MG©�‡!Œ²ššq #–%tkFؤ íä(Z¶¦ï좳–-Ÿ¤Ñèòs¡Š)„ïÁÙ…ÐH¸]?XÜä´7ó„;ñ�Ô;´\Þy§^ôQø´ùÊ£´Š–¡‡5£qYNo¤æJ’ÓðÊŠ—ù�ûˆQñaÀØeB§½À *¯Ï”Ìuw²ó„–”Z¥_íÞ`iQJ±hèdÐäK?ÍP´6PmÕŠIZ¶z®sÜŠ¢Ô$
https://arxiv.org/html/2508.20101v1
Volatility in Financial Networks
1 Introduction
2 Heterogeneous Spatiotemporal GARCH model
2.1 Model Assumptions
2.2 Prediction at Unobserved Locations
2.3 Estimation of Parameter Surface
2.4 Properties of the Estimator
3 Monte Carlo
https://arxiv.org/html/2608.02909v1
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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/2407.08254v2
1 Introduction
2 Related Work
3 Problem Formulation
3.1 Multi-agent planning with attrition
4 Attritable MCTS with Regret Minimization
4.1 Overview of the A-MCTS algorithm
4.2 Regret Matching For Cooperative Coordination
4.3 Analysis and
https://arxiv.org/html/2407.06328v2
I Introduction
II Preliminaries and Problem Description
II-A Task Allocation Game Model
II-B Learning Rule, Stochastic Alarm Clock, and Evolutionary Dynamics Model
II-C Payoff Vector Estimation
III Convergence Analysis and Revision Rate
https://arxiv.org/html/2607.28294v1
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/pdf/2006.01128
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