MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents
Long-term memory is critical for LLM agents operating over long-horizon interactions. However, several persistent limitations of existing memory systems can be traced to two recurring misalignment patterns in long-term interaction settings: Temporal-Structural Misalignment (TSM) and Delayed Utility Manifestation (DUM). TSM arises when temporal proximity does not reliably align with topical or event-level relatedness, whereas DUM arises when write-time salience does not reliably predict future qu
Record details
Published: 3 August 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Agents & autonomy
Retrieved: 4 August 2026
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ethics.ai (3 August 2026), “MemSIF: From Structured Interactions to Dual-Track Fact Memory for LLM Agents,” evidence record 15902, https://ethics.ai/record/15902 (originally published by arXiv).
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