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Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state

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https://arxiv.org/pdf/2608.03494
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https://arxiv.org/pdf/1209.0146
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https://arxiv.org/pdf/2608.01861
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https://arxiv.org/pdf/2608.02978
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https://arxiv.org/pdf/2002.02145
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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/src/2608.03994
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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/pdf/2608.03157
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https://arxiv.org/pdf/2608.03233
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https://arxiv.org/pdf/2408.15021
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https://arxiv.org/pdf/2211.01910
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Effort-Centric Fairness in Lending Decisions

https://arxiv.org/html/2607.28847v1
Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to

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https://arxiv.org/src/2608.03883
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[1703.06645] A Preferential Attachment Paradox: How Preferential

https://arxiv.org/abs/1703.06645
The chief source of the mischief, we contend, lies in Redner having relied on a measurement procedure bereft of the accuracy required to distinguish preferential attachment from another form of attachment that is consistent with a log-normal in-degree distribution

[2303.12712v5] Sparks of Artificial General Intelligence: Early

https://arxiv.org/abs/2303.12712v5
We contend that (this early version of) GPT-4 is part of a new cohort of LLMs (along with ChatGPT and Google's PaLM for example) that exhibit more general intelligence than previous AI models

[2303.12712] Sparks of Artificial General Intelligence: Early

https://arxiv.org/abs/2303.12712
12712] Sparks of Artificial General Intelligence: Early experiments with GPT-4 Skip to main content arXiv is now an independent nonprofit

You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
Any researcher or decision-maker who relies on a statistical model to learn about a parameter of interest must therefore contend with the possibility that the likelihood is misspecified

Quantum Physics

https://arxiv.org/list/quant-ph/new
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