AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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WithEveryone, a unified framework for generating group images up to ten reference identities, is introduced, showing that explicit identity--layout grounding enables identity-preserving generation to scale to larger groups without relying on direct reference-face copying.
RADAR is proposed, an automated framework for knowledge boundary discovery and tool overuse mitigation that globally propagates labels and rewrites conflicts, yielding deployment-aligned decisions with fewer unnecessary tool calls.
The results position image editing as a specialized visual workspace rather than a universal reasoning mechanism, and establish Aphanta as a reusable protocol for measuring task--representation alignment, editor realization, and downstream pipeline utility.
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