记忆巩固使个体用户事实的时间形态扁平化
Memory Consolidation Flattens the Temporal Shape of User Facts
- AIMS Lab, The University of Southern Mississippi（南密西西比大学AIMS实验室）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
研究发现长期记忆系统在巩固用户事实时，会选择性扁平化进行体时态，丢失事实时效性证据，影响后续模型判断是否行动。
AI中文摘要：
长期记忆系统将对话转化为简短的存储笔记。一条笔记可以保留一个用户事实，却丢失了关于该事实是否仍然成立的证据。例如，“我正在开一辆标致车”可能变成“用户开一辆标致车”，从而丢失了该活动正在进行的线索。我们将此称为体貌扁平化，并使用LAPSE基准来衡量它，该基准包含仅在时间形式上有所不同的匹配用户陈述。我们发现，记忆写入者选择性地扁平化体貌。在381对陈述中，三个写入模型将进行体陈述扁平化，但保留了其一般现在时匹配形式，共244对，从未出现相反情况。这种不对称性在所有11个测试的模型配置以及已安装的流水线mem0、Graphiti和Letta中均成立。丢失的线索对后续读者很重要。在探索性测试中，仅更改存储的动词就使三位读者对事实仍然成立的估计发生了偏移。当读者可以在行动前询问用户时，三位读者中有两位在扁平化笔记上更频繁地不询问就行动。我们计划中的记忆使用任务无法检测到这一点，因为那里的读者几乎对每个存储的事实都采取了行动，即使是已过期的事实。因此，记忆写入可能移除后续模型用于决定是否行动的证据。
英文摘要：
Long-term memory systems turn conversations into short stored notes. A note can keep a user fact while losing evidence about whether the fact still holds. For example, "I am driving a Peugeot" can become "The user drives a Peugeot," which drops the cue that the activity is ongoing. We call this aspectual flattening and measure it with LAPSE, a benchmark of matched user statements that differ only in temporal form. We find that memory writers flatten aspect selectively. Three writer models flattened the progressive statement but kept its simple-present match in 244 of 381 pairs, never the reverse. The asymmetry holds in all 11 model configurations tested and in the installed pipelines mem0, Graphiti, and Letta. The lost cue matters to later readers. In exploratory tests, changing only the stored verb shifted all three readers' estimates that a fact still holds. When readers could ask the user before acting, two of three acted without asking more often on flattened notes. Our planned memory-use task could not detect this, because readers there acted on almost every stored fact, even expired ones. Memory writing can thus remove evidence that later models use to decide whether to act.
