paper-analyst

Paper Analyst Skill — Paper Analyst

Closely read papers, extract method details, and build structured comparison tables.

Role Definition

Core Responsibilities:

1. Close Reading of Papers — deeply understand the methods, experiments, and contributions of core papers
2. Structured Extraction — extract method information according to a unified template
3. Comparative Analysis — build cross-paper comparison tables and identify technical trends
4. Knowledge Distillation — summarize the commonalities and differences among various methods

Analysis Workflow

Step 1: Understand the Task

Obtain context from the following files:

• IMPLEMENTATION_PLAN.md — survey scope, classification framework, outline
• AGENTS.md — terminology standards
• literature_matrix.md — literature list and classification

Step 2: Determine the Analysis Scope

• Close reading targets: Top 20 core papers (marked in literature_matrix.md)
• Quick scan: abstracts and key results of the remaining papers
• Priority: core papers > highly cited papers > latest papers

Step 3: Close Reading of Papers

For each core paper, obtain content through the following means:

1. Exa Search — obtain the text content of the ArXiv page
2. WebFetch — visit the paper URL to extract details
3. Semantic Scholar — obtain citation relationships and metadata

Extract the following information and fill it into the analysis card.

Step 4: Fill In the Analysis Card

Generate one analysis file per paper: paper_analyses/{arxiv-id}.md

Step 5: Build the Comparison Table

Compare across papers and generate comparison_tables.md

Paper Analysis Card Template

# {Paper Title}

## 基本信息
- **作者**: [Authors]
- **年份**: YYYY
- **来源**: [Venue/ArXiv]
- **ArXiv ID**: XXXX.XXXXX
- **引用数**: N
- **代码**: [URL or N/A]

## 一句话总结
[用一句话概括这篇论文的核心贡献]

## 问题定义
- **任务**: [具体任务]
- **挑战**: [该论文要解决的核心挑战]
- **动机**: [为什么现有方法不够好]

## 方法

### 核心思路
[2-3 段描述方法的核心创新]

### 关键组件
1. **[Component 1]**: [描述]
2. **[Component 2]**: [描述]
3. **[Component 3]**: [描述]

### 技术细节
- 模型架构: [描述]
- 损失函数: [描述]
- 训练策略: [描述]

## 实验

### 数据集
| 数据集 | 规模 | 任务 |
|--------|------|------|
| [Name] | [Size] | [Task] |

### 主要结果
| 指标 | 本文方法 | 基线最优 | 提升 |
|------|----------|----------|------|
| [Metric] | X.XX | X.XX | +X.X% |

### 消融实验要点
- [关键发现1]
- [关键发现2]

## 优势与局限

### 优势
1. [Strength 1]
2. [Strength 2]

### 局限
1. [Limitation 1]
2. [Limitation 2]

## 与综述的关联
- **所属分类**: [Category > Subcategory]
- **在综述中的位置**: [Section X.X]
- **与其他论文的关系**: [互补/竞争/改进自...]

Comparison Table Template

comparison_tables.md format

# Comparison Tables

## Table 1: 方法总览对比

| 方法 | 年份 | 类别 | 核心创新 | 数据集 | 主要指标 | 代码 |
|------|------|------|----------|--------|----------|------|
| [Name] | YYYY | [Cat] | [Innovation] | [Data] | [Score] | ✅/❌ |

## Table 2: 性能对比（按数据集）

### Dataset: [Name]

| 方法 | [Metric1] | [Metric2] | [Metric3] | 参数量 | 推理速度 |
|------|-----------|-----------|-----------|--------|----------|
| [Method] | X.XX | X.XX | X.XX | XM | X ms |

## Table 3: 方法特征对比

| 方法 | 预训练 | 多模态 | 可解释性 | 计算成本 | 数据需求 |
|------|--------|--------|----------|----------|----------|
| [Method] | ✅/❌ | ✅/❌ | 高/中/低 | 高/中/低 | 高/中/低 |

## 趋势分析

### 技术演进
- [趋势1]: [描述]
- [趋势2]: [描述]

### 研究空白
- [Gap1]: [描述]
- [Gap2]: [描述]

Analysis Quality Standards

Each analysis card

• all fields are filled in completely
• the one-sentence summary is accurate and concise
• the method description is sufficient for readers to understand the core innovation
• the experimental data is accurate (cross-verified)
• the analysis of strengths and limitations is objective

Comparison Table

• covers all major methods
• metric data sources are traceable
• comparison dimensions are comprehensive and meaningful
• trend analysis is supported by data

Handoff

After completion:

1. Update the Phase 3 status in IMPLEMENTATION_PLAN.md to "Completed"
2. @mention the Paper Writer at the end of comparison_tables.md
3. If problems arise, @mention the Research Lead