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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
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Artificial Intelligence

https://arxiv.org/list/cs.AI/new
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https://arxiv.org/pdf/2608.03437
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https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

Computation and Language

https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

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https://arxiv.org/src/2006.02318
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https://arxiv.org/pdf/2407.02402
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/pdf/2609.02852
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2307.09702
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https://arxiv.org/pdf/2010.15980
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https://arxiv.org/pdf/2104.00446
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2608.03105
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https://arxiv.org/src/2210.03493
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https://arxiv.org/pdf/2608.00458
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https://arxiv.org/src/2002.02145
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https://arxiv.org/pdf/2608.02618
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https://arxiv.org/pdf/2508.02685
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https://arxiv.org/pdf/2608.02909
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https://arxiv.org/pdf/2109.12196
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https://arxiv.org/pdf/2407.02509
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https://arxiv.org/src/2006.01048
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https://arxiv.org/pdf/2006.01128
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https://arxiv.org/src/2608.03898
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https://arxiv.org/pdf/2508.08980v3
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https://arxiv.org/pdf/2608.01657
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https://arxiv.org/pdf/2608.02386
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