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DeltaMem organizes LLM agent memory into residual trees to reduce redundancy and retrieval conflicts, storing incremental variations of experiences for continual learning.
This paper investigates adversarial robustness in Fuzzy ARTMAP, a streaming neural architecture, by introducing WB-Softmax as a mechanism-aligned white-box attack surrogate. It evaluates progressive training and selective updating strategies to improve robustness without data replay, while also offering interpretable diagnostics for structural failures.