research-pipeline

You can automate the end-to-end research lifecycle by running an autonomous pipeline that handles literature search, idea creation, experiment execution, iterative review loops, and optional PDF manuscript generation. This pipeline gates the top idea and proceeds to implementation automatically.

An autonomous research pipeline automates idea discovery by running literature searches, novelty checks, and review loops. It ranks and pilot-validates research ideas, gating the top idea before proceeding to implementation and experiment execution.

You can deploy GPU-run experiments directly or via a queue scheduler based on batch size. The pipeline monitors execution, collects results, and stages outputs automatically while requiring human gating behavior via parameter overrides.

Yes, an autonomous multi-round review loop conducts iterative reviewer critiques and implements fixes until a target score threshold or maximum rounds is reached. This ensures your narrative report and manuscript artifacts are polished.

You need to configure parameter overrides for reviewer difficulty, auto-write venue, and human gating behavior using the AUTO_PROCEED setting. These controls manage experiment deployment and the autonomous review loop.

The pipeline requires tool support for file operations, web search, and agent-to-skill orchestration. You must manage staging outputs and human gating behavior, meaning it cannot proceed entirely without parameter overrides and configured environments.