AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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NormDetect is proposed, which anchors a learned per-section head to the normalized zero-shot score, and a blend weight chosen on training folds under a human FPR cap combines the two scores, and one threshold is calibrated on human text only.
FeatFix is introduced, a local exact-feature correction method for cached diffusion inference that replaces the complete draft block output with the exact output computed from the same incoming state, avoiding token- or channel-level partial replacement and full-timestep recomputation.
MemTxn is a governance layer outside the answer model that verifies whether an update is supported by its source and restores the application-visible state after a fault, and achieves the highest average F1 across all twelve answer-model configurations.
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