SuperLocalMemory V3.3 implements a cognitive memory taxonomy with mathematical forgetting and multi-channel retrieval, reaching 70.4% on LoCoMo in zero-LLM mode.
SYNAPSE: Synergistic associative processing & semantic encoding
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
A modular 8B agent with episodic visual memory and RL-trained retrieval reaches 91.4% cross-turn image recall over 20 turns, outperforming 32B all-context baselines with ~1.8× lower latency.
A survey that maps safety risks in personalized LLMs, introduces a unified taxonomy, and highlights three structural inadequacies in existing research on user-invariant safety, isolated techniques, and short-term evaluations.
citing papers explorer
-
SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems
SuperLocalMemory V3.3 implements a cognitive memory taxonomy with mathematical forgetting and multi-channel retrieval, reaching 70.4% on LoCoMo in zero-LLM mode.
-
Cognitive-structured Multimodal Agent for Multimodal Understanding, Generation, and Editing
A modular 8B agent with episodic visual memory and RL-trained retrieval reaches 91.4% cross-turn image recall over 20 turns, outperforming 32B all-context baselines with ~1.8× lower latency.
-
Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs
A survey that maps safety risks in personalized LLMs, introduces a unified taxonomy, and highlights three structural inadequacies in existing research on user-invariant safety, isolated techniques, and short-term evaluations.