AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Interventional Separation Selection (ISS) is introduced, which repeatedly queries the true system with an admissible intervention on which the surviving candidate models disagree, discards the candidates the outcome contradicts, and stops once no intervention within a cost bound separates the survivors.
PLLM+, a hybrid dependency-repair pipeline evaluated on the HG2.9K benchmark, suggests that deterministic reuse of previously validated dependency configurations is a simple and effective strategy, with LLM-based repair serving as a secondary fallback for cases not covered by prior solutions.
The framework extracts each conversational turn into typed nodes and attributed edges, answers questions from a two-hop subgraph, and periodically prunes nodes that score low on a weighted combination of recency, access frequency, degree centrality, and age.
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