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Finally, the echo does not cumulate: reversal estimates at horizons of 2, 5, 7, and 21 days are statistically indistinguishable from the one-cycle estimate (Appendix Table A10), so the correction is complete after one cycle, as the geometric decay of equation (13) implies, rather than the beginning of a trend
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https://arxiv.org/html/2608.03703v1
In the nine weeks after May 27, the KOSPI tripped its market-wide circuit breaker seven times — more than in the twenty-six years from the mechanism’s introduction in 2000 through the end of 2025 combined
https://arxiv.org/list/cs.AI/new
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[2] arXiv:2608
https://blog.arxiv.org/wp-content/plugins/gutenberg/build/styles/block-library/navigation/style.min.css?m=1781685988
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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
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/html/2608.03486v1
In particular, both identification by heteroskedasticity (Rigobon, 2003, Lanne and Lütkepohl, 2010, Lütkepohl and Netšunajev, 2017, Lewis, 2021, Virolainen, 2025, and others) and identification by non-Gaussianity (Lanne et al
https://arxiv.org/list/math/new
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New submissions (showing 219 of 219 entries)
[1] arXiv:2608
https://arxiv.org/html/2508.02739v1
2 Preliminary
3 Methodology
K-line Tokenization
Hierarchical Autoregressive Modeling
Model Pre-training
Dataset
Model Training
Inference
4 Experiments
Experimental Setup
Main Results
Prediction Tasks
Generative Tasks
Investment
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
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/html/2312.16193v2
Figure 1: Architecture of Rollup—Layer-2 blockchain that stores state in underlying Layer-1 blockchain
Rollups represent a form of L2 scaling that does not custody any data by themselves
https://arxiv.org/html/2607.28323v1
Across asset classes and datasets, empirical studies have found that price impact is typically concave in executed volume and depends on participation rate, execution duration, and market liquidity in a manner often summarised by square-root or related power-law specifications [4, 7, 13, 21, 27, 36, 39, 40, 43]
https://arxiv.org/html/2407.18010v2
Currently however, the theory of stochastic games in discrete-time does not include a treatment that handles impulse control
https://arxiv.org/src/2608.03994
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https://arxiv.org/src/2006.02759
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/abs/2605.15611
15611] TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices
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arXiv is now an independent nonprofit
https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.03898
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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/src/2006.03720
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https://arxiv.org/src/2006.01128
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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/src/2006.00064
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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