AI 中文总结
本研究提出名为Kopterix的被动纵向工具，在智能体社交平台Moltbook上验证其可测量语言模型智能体群体的集体语义变化，从词汇、几何、时间层面分析语义变化特征，为相关研究提供可复用的观测方案。
AI 中文摘要
语言模型智能体群体中的集体语义变化是一种可测量的动态现象。我们提出了一种名为Kopterix的被动纵向工具，该工具会在观测开始前定义的协议下，将智能体群体的语义状态观测为一系列有界观测值。每次观测会按发布时间将采样信息流划分为表层、流中和残差层，这使得内容时间维度上的语义差异与运行间变化均可测量。我们在智能体原生社交平台Moltbook上对该工具进行了验证，观测周期为两个月，周期性检查则扩展至约四个月。在词汇层面，稀疏熵解析出4月至5月存储的前200个一元语法分布均匀度的差异，且相邻状态在词汇上比经时间戳打乱配对后的状态更接近；在几何层面，总均值中心化揭示了共同嵌入方向的规模，计划打乱检查支持流中到残差层的分离相对于打乱参考值存在反复出现的过量情况；在时间层面，去趋势标量量与中心化层中心在数小时内失去大量相似性，较弱的正成分随间隔延长而下降，且无明显的每周重复性。多个看似有吸引力的结构未通过对照检验，每次读数仅受其对照检验所能支持的水平限制。该设计适用于任何能产生带时间戳语言环境、可重复观测且可按内容时间划分的智能体群体场景。
英文摘要
Collective semantic change in populations of language model agents is a measurable dynamical phenomenon. We present a passive longitudinal instrument called Kopterix that observes the semantic state of an agent population as a sequence of bounded observations under a protocol defined before the observations begin. Each observation divides the sampled feed by post age into surface, mid-stream, and residue layers, which makes semantic differences across content age measurable alongside run-to-run change. We validate the instrument on Moltbook, an agent-native social platform, over a two-month window of scheduled observations, with the periodicity check extended across approximately four months. At the lexical level, rarefied entropy resolves an April-May difference in the evenness of the stored top 200 unigram distributions, and adjacent states are lexically closer than states paired after timestamp shuffling. At the geometric level, grand mean centering exposes the scale of a common embedding direction, and scheduled shuffle checks support a recurring excess in the mid-stream to residue separation relative to the shuffled reference. At the temporal level, detrended scalar quantities and centered layer centroids lose much of their similarity over several hours, and a weaker positive component declines across longer separations with no strong weekly recurrence. Several attractive apparent structures failed their controls, and each reading is limited to the level its controls support. The design applies wherever a population of agents produces a timestamped language environment that can be observed repeatedly and divided by content age.
Comments43 pages, 13 figures
