Document Workflow

Academic paper research: Search → Download LaTeX → Read & Summarize

Quick Start

1. Search Papers

python -m skills.document-workflow.scripts.search_papers --query "world model" --max_results 5 --year_from 2024

2. Download LaTeX Source

python -m skills.document-workflow.scripts.latex_reader "2301.07088" --keep

3. Read & Summarize

Read the LaTeX source files and summarize following the reading guide below.

Reading Guide

After downloading LaTeX source to arxiv_{id}/, read the .tex files in this order:

Step 1: Get Metadata

Read the main .tex file (usually main.tex, root.tex, or {paper-id}.tex) for:

• \title{} - Paper title
• \author{} - Authors
• \begin{abstract}...\end{abstract} - Abstract

Step 2: Understand the Problem

Read the Introduction section (usually intro.tex, 1-introduction.tex, or first \section):

• What problem does this paper solve?
• What are the key contributions?
• How does it relate to prior work?

Step 3: Understand the Method

Read the Method/Approach section:

• What is the proposed approach?
• Key equations in \begin{equation}...\end{equation} or \begin{align}...\end{align}
• Algorithm pseudocode in \begin{algorithm}...\end{algorithm}

Step 4: Check Experiments

Read the Experiments section:

• Datasets used
• Baselines compared
• Metrics in \begin{table}...\end{table} with results
• Key findings

Step 5: Check References

Read the .bib or .bbl file for:

• Related work citations
• Key papers in the field

Output Schema

Summarize the paper in this JSON format(see more details in ./references/output_schema.json):

{
  "paper_title": "Full title",
  "authors": ["Author 1", "Author 2"],
  "source": "arXiv:XXXX.XXXXX",
  "task_definition": {
    "domain": "Research domain",
    "task": "Specific task",
    "problem_statement": "What problem this paper solves",
    "key_contributions": ["Contribution 1", "Contribution 2"]
  },
  "experiments": {
    "datasets": ["Dataset 1", "Dataset 2"],
    "baselines": ["Baseline 1", "Baseline 2"],
    "metrics": [
      {"name": "Metric name", "description": "What it measures","definition":"Mathematical definition or formula for the metric"}
    ],
    "results": [
      {"setting": "Dataset", "metric": "Metric", "proposed_method": "Score", "best_baseline": "Score"}
    ],
    "key_findings": ["Finding 1", "Finding 2"]
  }
}

Scripts

Tips for Reading LaTeX

Config

# Optional: Semantic Scholar API key
export SEMANTIC_SCHOLAR_API_KEY="your-key"

# Default download path
C:\Users\Lenovo\Desktop\papers