AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work studies causal retention: whether a frozen learned state answers a mechanism-probe map fixed independently of training, including action, context, direct target, value, and delay, which is distinct from task sufficiency and source-domain decodability.
The reported results indicate competitive public-data sequential ranking under the stated protocol, together with a reproducible and inference-safe evaluation design, and the practical value of the method lies in reaching, and in several comparisons, significantly exceeding, the accuracy of heavyweight multimodal-LLM-s...
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