research-pipeline

An automated research pipeline orchestrates end-to-end workflows from idea generation to submission-ready papers. It handles literature review, experiment design, and paper drafting, with optional human checkpoints for review.

Yes, the pipeline supports autonomous workflows through configurable automation gates like AUTO_PROCEED and ARXIV_DOWNLOAD. These settings enable the system to run stages continuously without requiring manual approval at each step.

Yes, the pipeline supports fetching literature from arXiv through configurable ARXIV_DOWNLOAD options. This feature integrates arXiv paper retrieval directly into the Stage 1 idea discovery and literature review workflow.

The end-to-end research pipeline implements five stages: Stage 1 idea discovery, Stage 2 implementation, Stage 3 deployment, Stage 4 auto-review, and Stage 5 final reporting. Each stage outputs tracking artifacts for reproducibility.

The pipeline outputs IDEA_REPORT.md, implementation notes, and final reports as tracking artifacts. These files ensure reproducibility by documenting the entire research lifecycle from idea discovery through final submission.

A fully autonomous pipeline may lack domain-specific nuance during experiment design and paper drafting. Enabling HUMAN_CHECKPOINT at critical stages allows researchers to validate findings and review outputs before final submission.