AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work measures trace occurrence, withdrawn-item recovery, trace position, and required-content retention in LLM interactions, and proposes an output-side filter that sharply reduces recovery with little loss of required content.
This paper presents the first systematic audit between official LLM APIs and corresponding shadow APIs, and uncovers widespread behavioral inconsistency and fingerprint-based evidence consistent with deceptive model claims in a subset of audited endpoints.
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