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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
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/html/2608.03048v1
6 million tokens and find that it outperforms the recurrent-memory baseline by +6

Computation and Language

https://arxiv.org/list/cs.CL/new
LG) Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed

Report GitHub Issue

https://arxiv.org/html/2608.02613v1
With the interaction history, it co-generates ground truth over six recall, reasoning, and trustworthiness evaluation dimensions

1 Introduction

https://arxiv.org/html/2407.16741v3
edu Abstract Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways

1 Introduction

https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction 2.1 Episodes 2.2 Semantic Entities and Facts 2.2.1 Entities 2.2.2 Facts 2.2.3 Temporal Extraction and Edge Invalidation 2.3 Communities 3 Memory Retrieval 3.1 Search 3.2 Reranker 4 Experiments 4.1 Choice

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https://arxiv.org/pdf/2608.01651v1
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Information Retrieval

https://arxiv.org/list/cs.IR/new
To handle it, KGD assigns them to separate parameter sets: a refreshable encoder owns behavioral knowledge, while a task learner reads contextualized encoder states through read-only cross-attention and writes task-specific geometry through Anchored Calibration Residual (ACR) orthogonal to the pretrained embedding

[1411.2842] Logical Limitations to Machine Ethics with Consequences to

https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons Skip to main content arXiv is now an independent nonprofit

[2510.01395] Sycophantic AI Decreases Prosocial Intentions and Promotes

https://arxiv.org/abs/2510.01395
01395] Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence Skip to main content arXiv is now an independent nonprofit

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https://arxiv.org/pdf/2607.26327v3
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https://arxiv.org/pdf/2407.00345
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2608.02244
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Existence of Richter–Peleg representation for general preferences

https://arxiv.org/html/2508.08980v3
org perpetual non-exclusive license arXiv:2508

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https://arxiv.org/pdf/2608.01564
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2508.02758
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https://arxiv.org/pdf/2508.16279
0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang HeZiqian ChenWeikai LiaoFarruh Isakulovich KushnazarovYaliang LiBolin DingJingren Zhouhttp:

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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2508.08980v3
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https://arxiv.org/pdf/2508.02685
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https://arxiv.org/pdf/2607.27063v1
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https://arxiv.org/pdf/2607.26245v1
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https://arxiv.org/pdf/2608.00458
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https://arxiv.org/pdf/2608.02386
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https://arxiv.org/pdf/2608.01657
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https://arxiv.org/pdf/2604.05327v4
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https://arxiv.org/pdf/2608.03340
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