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The recorded downgrade reasons in the identification clusters repeatedly report a sound derivation whose content collapses into an existing construction: reviewers describe the delivered result as “generic Manski-style outer containment,� “standard finite response-type sharpness,� “shallow two-point mean
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https://arxiv.org/html/2607.22511v2
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https://arxiv.org/html/2608.02800v1
com in China, Walmart Marketplace and Target Plus in the United States, Otto in Germany, Flipkart in India, and Rakuten in Japan
https://arxiv.org/html/2607.28847v1
3 Research Question 1: Does Masked Inequality Exist
https://arxiv.org/html/2407.00575v3
Gradient play converges to a unique Nash equilibrium (NE) that does not optimize the global objective
https://arxiv.org/html/2508.08980v3
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arXiv:2508
https://arxiv.org/html/2608.02943v1
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arXiv:2608
https://arxiv.org/html/2604.05327v4
This version:
I would like to thank Xu Cheng, Frank Diebold, Wayne Gao, George Mailath, and seminar participants at Chicago Booth, Paris Econometrics Seminar, Toulouse School of Economics, and the University of Pennsylvania for valuable discussions and comments that substantially improved this article
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/html/2608.02909v1
This approach is theoretically valid, easy to implement, and does not require new data
https://arxiv.org/html/2407.20187v1
1 Introduction
1.1 The Illusion Elimination Problem
1.2 Our Contributions.
1.3 Related Work.
2 Preliminaries
3 Majority Illusion Addition Elimination (MIAE)
3.1 A First Attempt
3.2 A Second Attempt
3.3 A TDI System
3.4 A Polynomial Time
https://arxiv.org/html/2607.27099v1
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arXiv:2607
https://arxiv.org/html/2309.08431v3
Existing research characterises the losses of LPs, but does not offer tools for strategic liquidity provision
https://arxiv.org/pdf/1811.12628
ioªAJÃyØU§±Æ#LFg”À¡ë‡C}Âz¾¹OÒ7ÜtŸXW,Û½¸×·ÝÔDZ¤¥bùé�¹n‡‘;• æ] ,¡=h粂7'�6m·¯.>×tÐØv Á}u/ÔÇ|8à ÏÈpqMùP7õøš™f3îE( )Ö½”‡—a¬Ž\¾×ÉÅdYD3²,V:…A3•™„ýñ K+r ‰Ó è:ßtåî 4�!÷ð4}w¨áƒóLožñd»þ#×äà±È6?úq2UdQL %Ê”‰c7Ð_®·Vo¾§ßïÓÿ1‘q½o
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A core calculus gives an effect-confinement lemma and six safety properties
https://arxiv.org/html/2508.20108v2
, 2023) reduces the distribution difference; however, it does not fully align the distributions
https://arxiv.org/html/2407.10811v1
Recently, employing reinforcement learning (RL) to solve TSC has become a research hotspot since it does not require too much artificial priori and can improve performance significantly through the paradigm of trial and error
https://arxiv.org/pdf/2006.02318
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https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/html/2608.02609v1
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https://arxiv.org/html/2607.26405v1
& Optimal Design
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The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/html/2608.03504v1
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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
https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2407.00125
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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