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This study synthesizes adjacent research and introduces Enactive AI as a conceptual framework for enterprise and industry reasoning, site-level decision support, and execution feedback
from the top result below
https://arxiv.org/list/cs.AI/new
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Artificial Intelligence
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https://arxiv.org/html/2407.17789v2
com/modelscope/agentscope/tree/main/examples/paper_large_scale_simulation to inspire further research and development in large-scale multi-agent simulations
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/html/2607.27099v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/list/cs.CV/new
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Computer Vision and Pattern Recognition
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https://arxiv.org/list/cs.SE/new
Through an analysis of 1,966 open source projects, 1,355 Github issues, 444 CVE reports, and 361 StackOverflow posts, we systematically map the feature support and real-world usage of globs across six common ecosystems that utilize globs
https://arxiv.org/list/quant-ph/new
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Quantum Physics
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https://arxiv.org/list/math/new
Their finite iterates can develop rapidly increasing numbers of linear pieces, making them a natural test case for the expressive power of deep neural networks
https://arxiv.org/html/2608.02854v1
For eliciting preference in a real-data study we refer to Bianchi and Tallon (2019), who consider the connection between portfolio choices and ambiguity preferences, and to Cavatorta and Schröder (2019) who develop a survey for eliciting preferences
https://arxiv.org/html/2407.01093v1
com/ and GPT-4 OpenAI (2023) could be used to simulate human intelligence
https://arxiv.org/html/2504.19413v1
In contrast, a system with persistent memory would maintain this critical user information across sessions and suggest appropriate vegetarian, dairy-free options
https://arxiv.org/html/2608.03141v1
org perpetual non-exclusive license
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/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/html/2401.02063v2
org that the field of high-frequency GWs will go from the discovery of the first stellar-mass binary black hole merger in 2015 [9]
https://arxiv.org/html/2608.00648v1
We aim to develop a policy that jointly accounts for communication coordination and task planning under such conditions, so as to maximize the total number of completed tasks
https://arxiv.org/list/econ/new
ST)
Recursive nonlinear impulse responses require an estimated innovation law whenever the impact shock is normalized by innovation ranks and future innovations are integrated out
https://arxiv.org/list/cond-mat.stat-mech/new
In order to address the intrinsic randomness of the measurement record, we develop a replica instanton calculation to study Born-averaged observables
https://arxiv.org/abs/2006.02230
We develop novel data reuse analysis algorithms using the polyhedral model to derive efficient execution schedules automatically
https://arxiv.org/abs/1707.08476
Building on our previous work on AI Containment Problem we propose a number of guidelines which should help AI safety researchers to develop reliable sandboxing software for intelligent programs of all levels
https://arxiv.org/list/hep-ph/new
We find that these additional neutrino sources are non-negligible and would lead to a sizable number of neutrino interactions of all flavors, including several tau neutrino events, in a ton-scale detector placed in the forward direction
https://arxiv.org/html/2609.03159v1
Developing an equivalent high-resolution capability in the X-ray band would be a game changer for high-energy astrophysics
https://arxiv.org/list/eess.SP/new
To address these challenges, we develop a transform-based alternating optimization framework that combines Dinkelbach's method, dual and quadratic transforms, to enable closed-form digital beamforming, Riemannian manifold optimization for SIM phase shifts, and successive convex approximation (SCA) for UAV positioning
https://arxiv.org/list/cs.NA/new
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Numerical Analysis
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https://arxiv.org/list/gr-qc/new
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General Relativity and Quantum Cosmology
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https://arxiv.org/html/2407.10064v4
An Overview of Applications and Insights
1 Introduction
2 Background
2.1 Review of Bridge Operation and maintenance Research
2.2 Overview of LLM-based Agents Research
2.2.1 Larger Language Models
2.2.2 LLM-based Agents
2.3 Why Bridge
https://arxiv.org/list/eess/new
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Electrical Engineering and Systems Science
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