学术写作

01 u9401066/med-paper-assistant 可审计的 MCP + 跨 Agent 框架，支持自主与人工引导的学术写作——从经验证的证据到已审校的 DOCX/PDF。Auditable MCP + cross-agent harness for autonomous and human-guided academic writing—from verified evidence to reviewed DOCX/PDF. 论文写作 大纲与论文起草 文献与引用管理系统综述 PDF引用MCP Agent 智能体 Python 11 ★ 02 eliaswestonfarber/scienceai 一个用于科学文献分析的开源 agentic harness。可协调前沿模型提取数据、复现发现并执行系统综述，具备完整的溯源追踪能力。An open-source agentic harness for scientific literature analysis. Coordinates frontier models to extract data, replicate findings, and perform systematic reviews with full provenance tracking. 证据综述 Meta 分析与证据综合 系统综述文献筛选与信息抽取 引用 Agent 智能体 Python 9 ★ 03 686f6c61/Hermes-Research-PRISMA 一个可复现的 Hermes Agent 研究运行时，用于系统性文献综述、全文证据抽取、方法路由以及可审计的发表产出。A reproducible Hermes Agent research runtime for systematic literature reviews, full-text evidence extraction, methodological routing, and auditable publication artifacts. 证据综述 系统综述 文献筛选与信息抽取实验与代码复现 引用LaTeX Agent 智能体 Python 5 ★ 04 herbertkokholm/attest 针对 LLM 集成证据筛选（系统综述标题/摘要筛选）的筛选-自验证内核。Screening-and-self-validation kernel for LLM-ensemble evidence screening (systematic review title/abstract screening). 证据综述 系统综述 文献筛选与信息抽取Meta 分析与证据综合 引用 评测基准 Python 1 ★ 05 xuxiang-hub/runtime-safety-review 学习驱动运动预测与规划中风险校准及运行时保障系统综述的可复现材料。Reproducibility materials for a systematic review of risk calibration and runtime assurance in learning-enabled motion prediction and planning. 证据综述 系统综述 实验与代码复现 引用 安全与风险 Python 0 ★ 06 matguo/Phyadv_pipeline 本仓库包含论文补充材料，旨在提升系统综述的透明度、可复现性与完整性，涵盖筛选文档、检索策略以及计算机视觉中物理对抗攻击的详细分析。This repository contains the supplementary materials accompanying our paper. The materials are designed to support the transparency, reproducibility, and comprehensiveness of the systematic review, including screening documentation, search strategies, and detailed analysis of physical adversarial attacks in computer vision. 证据综述 系统综述 实验与代码复现 引用写作 多模态 0 ★ 07 leahvdh/survai von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1 的复现材料与文献数据库Replication materials and literature databases for von der Heyde, L., Keusch, F., Buskirk, T. D., & Eck, A. (2026). AI in the Loop?! A Systematic Review of the Use of Large Language Models in Survey and Public Opinion Research. SocArXiv. https://doi.org/10.31235/osf.io/eubj4_v1. 证据综述 系统综述 实验与代码复现 引用 数据与向量库 TeX 0 ★ 08 jakemorgan-research/codex-sci-research-lifecycle 可审计的 Codex skill 与 Python 项目包，用于证据可追溯的研究、系统综述、投稿与修订。Auditable Codex skill and Python project pack for evidence-traceable research, systematic reviews, submission, and revision. 证据综述 系统综述 实验与代码复现大纲与论文起草 引用Skill写作 多模态 Python 0 ★ 09 fsy2004/MetaWingman 以问题为先、步骤可验证、可自我进化的 agent skill，用于系统综述与 Meta 分析。A question-first, step-verified, self-improving agent skill for systematic reviews and meta-analysis 证据综述 Meta 分析与证据综合 系统综述实验与代码复现 引用Skill 评测基准 Python 0 ★ 10 ahnhyungwoo/bosniak-reproducibility-meta-analysis 用于 Bosniak 分级可重复性系统综述与 meta 分析的数据及 R 代码Data and R code for the systematic review and meta-analysis of Bosniak classification reproducibility 证据综述 Meta 分析与证据综合 实验与代码复现系统综述 引用 评测基准 R 0 ★