AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Across four routing problems and multiple LLM backbones, SpecAHD reduces held-out objective cost by up to 57.7% against the strongest competing AHD baseline and outperforms the per-instance baseline envelope on most public instances.
The findings indicate that hallucinations systematically compromise academic writing quality, distort assessment processes and undermine epistemic trust in scholarly outputs, leading to an integrated conceptual perspective linking hallucinations to epistemic risk, information integrity and digital trust.
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