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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
CL)
Recent studies have identified an ``Artificial Hivemind'' effect in Large Language Models (LLMs) causing models to converge on a narrow, homogenized consensus even for open questions
https://arxiv.org/html/2608.03452v1
de
Abstract
When a transformer learns an irregular morphological pattern, what has it learned
https://arxiv.org/html/2607.28577v1
Once the week’s labels mature, SBS promotes only if mean challenger NLL is at least 10−410^{-4} lower
https://arxiv.org/html/2407.13076v1
As typical LPWANs, long-range (LoRa) networks have attracted increasing attention from researchers in both industry and academia since they operate in licence-free ISM frequency bands [4]
https://arxiv.org/html/2607.27188v1
org perpetual non-exclusive license
arXiv:2607
https://arxiv.org/list/gr-qc/new
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General Relativity and Quantum Cosmology
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https://arxiv.org/html/2608.03077v1
org perpetual non-exclusive license
arXiv:2608