experiment-bridge

To turn an experiment plan into publication-ready figures and LaTeX tables, provide a plan file so the workflow can implement missing experiment code, execute milestone-based runs, consolidate results into JSON/CSV, and generate PDF figures plus LaTeX three-line tables for direct embedding.

Automating sanity checks, baselines, and ablation experiments requires an ordered run schedule driven by a parsed experiment plan. The workflow implements training and evaluation code, deploys milestone experiments with parallelism controls, and validates outputs to ensure reproducible results.

You do not strictly need a pre-written EXPERIMENT_PLAN.md file to start running experiments. The workflow can detect uploaded data, proposals, trackers, or raw research ideas and auto-generate the experiment plan to drive the ordered run schedule.

The best way to run experiments locally and consolidate results for a research paper is to use an end-to-end pipeline that deploys milestone experiments on configured compute, validates outputs, and consolidates results into structured data files for immediate figure generation.

Yes, you can use experiment-bridge with just a research idea and uploaded data. It detects available inputs including topics and proposals, auto-generates a structured experiment plan, implements the missing code, and executes the full experimental suite to produce deliverables.