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1 Introduction

https://arxiv.org/html/2506.01844v1
SmolVLA is designed to be trained on a single GPU and deployed on consumer-grade GPUs or even CPUs

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
Project Page: this https URL [2] arXiv:2608

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https://arxiv.org/src/2211.01910v2
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https://arxiv.org/pdf/2608.02122
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.01785
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https://arxiv.org/pdf/2608.03118
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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

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https://arxiv.org/src/2608.03994
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https://arxiv.org/pdf/2205.01882v5
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https://arxiv.org/html/2608.02673v1
org perpetual non-exclusive license arXiv:2608

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https://arxiv.org/src/2006.01128
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https://arxiv.org/src/2006.02759
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https://arxiv.org/pdf/2006.00342
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https://arxiv.org/src/2104.08691
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/src/2006.01331
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https://arxiv.org/pdf/2006.01128
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You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
Under mild conditions, the finite-sample likelihoods—which may themselves be misspecified—can be replaced by a limit experiment involving the Gaussian family as the reference likelihood

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained

https://arxiv.org/html/2608.00648v1
The framework is suitable for a broad range of distributed task-planning applications and can be flexibly transferred to related scenarios with different practical constraints and settings

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https://arxiv.org/pdf/2608.02854v1
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Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2
By the nature of many of the questions we ask across fields of economics, such objectives can be framed as the goal of understanding how to intervene on a given status quo to increase welfare

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https://arxiv.org/src/2006.00064
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https://arxiv.org/src/2608.03883
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https://arxiv.org/pdf/2608.02666
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https://arxiv.org/src/2006.02085
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https://arxiv.org/pdf/2608.03898
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https://arxiv.org/src/2006.03720
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https://arxiv.org/pdf/2608.02976
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