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Discovered an open-source Deepseek memory plugin called OpenContext, which improves the long-term memory functionality of Agent frameworks through designs like Temporal Context Graphs and Trust Models.
This paper presents a controlled study on ECG self-supervised representation learning, examining how temporal context length (16s to 10min) and encoding strategy (continuous patch embeddings vs discretized tokens) affect downstream rhythm detection and patient-level retrieval. Results show longer context and continuous encoders improve performance, motivating extended-context ECG foundation models.
This paper introduces Temporal Context Awareness (TCA), a defense framework that detects multi-turn manipulation attacks on LLMs by analyzing semantic drift, cross-turn intention consistency, and evolving conversational patterns to mitigate adversarial context-building across dialogues.