research-pipeline

You can automate an end-to-end research pipeline by providing a broad topic, allowing the system to autonomously discover ideas, run experiments, and package a submission-ready manuscript. This workflow includes literature integration, implementation, and auto-review loops.

Yes, you can configure human checkpoints using the HUMAN_CHECKPOINT automation control. This allows you to govern the research pipeline stages and review outputs before proceeding to the next phase of experimentation or publication.

The auto-review loop evaluates experiment results and iterates on the implementation to produce submission-ready papers. It generates transparent artifacts like AUTO_REVIEW.md to log stage-by-stage outputs and self-contained revisions throughout the research lifecycle.

No, you do not need to manually download arXiv papers because the ARXIV_DOWNLOAD automation control handles literature integration autonomously. The pipeline integrates relevant literature directly into the idea discovery and experimentation stages.

Running an autonomous experimentation pipeline generates self-contained artifacts such as IDEA_REPORT.md and AUTO_REVIEW.md. These files provide stage-by-stage output logging for idea discovery, experiment implementation, and final submission packaging.

You should use configurable gates when you need governance over specific stages of the research lifecycle, such as transitioning from idea discovery to experimentation. Gates ensure structured, experiment-driven progress toward a publication-ready output.