AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The Koopman spectrum is an identifiable, model-intrinsic fingerprint with a stated error bar, not a legible decomposition, and the spectrum is recoverable from calibration samples at rate $M^{-1/2}$ up to permutation.
This work investigates whether VLMs can be trained to reason about AI-generated image edits using reinforcement learning (RL) rather than explicit reasoning supervision, and introduces effective intersection over union (eff-IoU), a unified metric to jointly evaluate detection and localization.
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