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One genuinely open direction is that trades intended to move the print would move dealers’ beliefs as well as their inventories, plausibly reinforcing the overshoot; signing the net effect is not attempted here
from the top result below
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/list/cs.AI/new
A core calculus gives an effect-confinement lemma and six safety properties
https://arxiv.org/html/2607.22511v2
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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/2608.03504v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
https://arxiv.org/pdf/2006.02318
3/ pdfx PDF/X Schema external URL to an online version or preprint AuthoritativeDomain Text http://www
https://arxiv.org/list/cs.LG/2022-12
2001-2004
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[1] arXiv:2212
https://arxiv.org/html/2608.02609v1
2 Cross-Cultural Design Challenges
Ancient-language NLP raises cross-cultural problems that mainstream multilingual NLP has not yet engaged with Bird (2020)
https://arxiv.org/html/2407.00575v3
We therefore want the manager to control the coefficients such that they impose the desired constraint on the NE
https://arxiv.org/html/2407.10811v1
Despite all efforts in this field, there is no real-world deployment of an actual RL-based TSC to date
https://arxiv.org/html/2508.08980v3
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arXiv:2508
https://arxiv.org/html/2407.04889v1
(2019b); however, in general settings it is not known how to best play against mean-based learners, even if the agent knows everything about the learners, and can predict with certainty what actions they would take as a function of the history of play
https://arxiv.org/html/2608.03452v1
Probing five architectures, twelve trained models each, under lemma-disjoint cross-validation with controls and surface baselines, we show that the models encode the L-shaped class itself, not just its visible alternations
https://arxiv.org/html/2607.28847v1
2 Proof of Lemma 1 (Optimality of Boundary Crossing)
D
https://arxiv.org/html/2407.00419v1
Two natural assumptions in such settings are that: 1) all agents in the population are individually rational learners, and 2) when any two members of the population are paired together, with high-probability they will achieve at least the same utility as they would under some Pareto efficient equilibrium strategy
https://arxiv.org/html/2508.20108v2
Normalization for Accurate Prediction
1 Introduction
2 Related Works
2.1 Geometric Brownian Motion
2.2 Deep Learning-Based Stock Price Prediction
2.3 Methods for Addressing Distribution Shift
3 Proposed Method
3.1 Overview
3.2 Return
https://arxiv.org/html/2608.03067v1
, 2020; Farzana and Parde, 2024; Heitz et al
https://arxiv.org/html/2508.20101v1
, Borovkova and Lopuhaa,, 2012; Caporin and Paruolo,, 2015; Hølleland and Karlsen,, 2020; Billio et al
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/2607.26405v1
& Optimal Design
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https://arxiv.org/html/2607.28294v1
Rahbek gratefully acknowledge support from the Independent Research Fund Denmark (DFF Grant 7015-00028) and from the Italian Ministry of University and Research (PRIN 2020 Grant 2020B2AKFW)
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/2412.12213v2
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https://arxiv.org/html/2608.03573v1
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arXiv:2608
https://arxiv.org/html/2608.02943v1
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arXiv:2608
https://arxiv.org/html/2407.18010v2
Since acting at each available opportunity would accumulate prohibitively large costs, the resulting decision problem is one in which players must make strategic decisions about when to execute actions in addition to their choice of action
https://arxiv.org/html/2407.05763v1
(2018, 2020) focus on the finite-time distributed observer, and Ge et al
https://arxiv.org/list/cs.CG/new
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[1] arXiv:2608
https://arxiv.org/html/2403.16413v3
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arXiv:2403