AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work presents QGenome, a semantic foundation for quantum software genomics that establishes a falsifiable framework and a concrete research agenda for gene mining, lineage recovery, cross-layer regression testing and repair, and evidence-grounded quantum software agents.
The results show that the key to memory-augmented repair is not simply accumulating more experiences, but retrieving the right experiences for the right repair context, and that relevance, quality, and redundancy matter more than raw memory volume.
This study introduces SymTrace, a controlled evaluation framework that records the MAS execution trajectory and establishes intervention anchors and explores the effectiveness of MAS repair methods, revealing that existing unguided rerun methods are highly unreliable.
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