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ar9av avatar

Paper Writing Bench

ar9av/paperorchestra

This replicates the dataset construction procedure from PaperOrchestra (arXiv:2604.05018) so you can build your own benchmark cases for testing paper-writing…

GitHub stars
572
last updated
Jun 2, 2026
View on GitHubSave

Install

$ npx -y skills add ar9av/paperorchestra --skill paper-writing-bench --agent claude-code

Installs into .claude/skills of the current project.

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What it does

This replicates the dataset construction procedure from PaperOrchestra (arXiv:2604.05018) so you can build your own benchmark cases for testing paper-writing pipelines. Feed it a research paper PDF and it reverse-engineers three files: a sparse idea (high-level, no math), a dense idea (full LaTeX equations), and an experimental log (raw numbers, stripped of all narrative). The prompts are taken verbatim from Appendix F.2 and enforce strict rules like no citation leakage, no figure references in the log, and complete anonymization. Use this when you want to test whether your pipeline can reconstruct a real paper from just the raw materials, then score the output with paper-autoraters against the original.

Files

Select a file.

Details

Repository
github.com/ar9av/paperorchestra
Categories
DevOps & CI/CD, Documentation, Data Science & ML, Automation & Workflows, Sales & Marketing
First seen
Jun 11, 2026

More from ar9av/paperorchestra

All 9
  • Plotting Agent
  • Section Writing Agent
  • Agent Research Aggregator
  • Content Refinement Agent
  • Literature Review Agent
  • Outline Agent
  • Paper Autoraters
  • Paper Orchestra

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