现有AI科学文献系统缺乏对引用检查自身可靠性的验证，本文提出评估与守护方法。
arXiv:2607.20527v1 Announce Type: new Abstract: Agentic LLM systems such as OpenScholar and PaperQA2 read the scientific literature and return cited a…
这篇arXiv论文提出面向Agentic LLM系统的共享选择性持久记忆机制，解决多智能体协作中的记忆共享与选择性持久化问题，是AI大模型研究前沿。
arXiv:2607.09493v1 Announce Type: new Abstract: Agentic LLM systems that generate code through multi-turn tool use face a fundamental context problem:…
探索基于策略驱动的运行时层，为Agentic LLM服务提供高效可扩展的系统架构方案
arXiv:2605.27744v1 Announce Type: new Abstract: Multi-agent LLM systems have become the dominant production workload, but the serving stack was not bu…
用大模型与上下文工程实现智能代码转UML，论文提出可扩展软件可视化新方法。
arXiv:2605.24453v1 Announce Type: cross Abstract: Large Language Model (LLM)-based code analysis tools are adopted to automate software documentation …