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ChipMEM, a verification-grounded memory layer for EDA agents, is introduced, a verification-grounded memory layer for EDA agents that combines cross-task procedural memory with within-trajectory statistical guidance.
An AI-powered knowledge graph platform that connects SQL errors to conceptual gaps in undergraduate and graduate database systems courses and confirms that mapping errors to course concepts provides actionable diagnostic insight is presented.
Gradient-Based Connections (GBC) is proposed, an approach for fine-grained attribution and optimization of multi-agent systems that improves multi-agent performance and outperforms strong single-agent and multi-agent baselines and higher attribution quality is associated with greater optimization effectiveness.
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