本项目是一个基于大语言模型（LLM）的文献计量分析系统，能够自动对学术文献进行主题聚类、标注和一致性验证。系统结合了传统的文本嵌入技术（Sentence Transformers）、降维算法（UMAP）、聚类算法（K-Means）以及多种大语言模型（DeepSeek、Qwen、腾讯混元）的智能标注能力，实现对学术文献主题的多层次、高一致性分析。
active 2025-12-05 → 2025-12-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 4 days from 2025-12-05 to 2025-12-08. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 3 total, peak 2 in a day.
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- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
Nobody pushed, opened or commented here in the loaded window — this repo's activity is stars and forks only.
Recent activity
Latest issues, pull requests and releases
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.