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Designing large language model (LLM) multi-agent systems (MAS) still relies on trial and error and informal"folk wisdom."Manual studies test only a few communication structures or topologies (e.g., sequential, parallel, shared-memory, or debate), while automated optimizers discard search trajectories after selecting a...
BlueSTAR is presented, a tiered agentic architecture for autonomous cyber defense in enterprise IT/OT networks that retains the fast containment of deterministic response for known threats while successfully defending against attacks requiring contextual and cross-cycle reasoning.
SPARC is presented, a few-shot calibration method that intercepts patch features between encoder and detector and removes a closed-form, spatially indexed estimate of deployment-time nuisance through per-cell subspace projection and uses the algebraic saturation rank on the encoder's native patch grid.
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