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https://arxiv.org/src/2608.03883
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https://arxiv.org/html/2607.28847v1
4 Positioning and Contribution
3 The Effort-Centric Fairness Framework
3
https://arxiv.org/pdf/2006.02602
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https://arxiv.org/abs/2607.28847v1
We develop an effort-centric framework that measures an applicant's effort as the minimum weighted cost of feasible changes required to cross the approval boundary
https://arxiv.org/list/q-fin.MF/new
New submissions (showing 4 of 4 entries)
[1] arXiv:2608
https://arxiv.org/list/econ/new
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New submissions (showing 21 of 21 entries)
[1] arXiv:2608
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/2506.01844v1
2 Related work
Vision-language models (VLMs).
Vision-language-action models (VLAs).
3 SmolVLA: small, efficient and capable
Overview.
3.1 Model architecture
Vision-language model (VLM).
State, action, and feature projectors.
Visual
https://arxiv.org/list/cs.SE/new
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Software Engineering
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https://arxiv.org/html/2401.02063v2
Description:
arXiv is now an independent nonprofit
https://arxiv.org/html/2407.01757v1
Opportunities and Technology Feasibility
1 Introduction
1.1 What is a distributed instrument?
1.1.1 Distributed Instruments and Sensor Networks
1.1.2 Distributed Instruments and Swarms
1.2 Contribution and Organization
2 State of the Art
https://arxiv.org/list/cs.AI/new
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Artificial Intelligence
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https://arxiv.org/pdf/2002.02145