Skip to content

Pipeline Overview

The research product uses a research-specific stage machine:

text
idle → ideation → baseline-digestion → design → implementation → training → analysis → writing → review → done

Gate Model

The runtime gate model is:

GateMeaning
humanPause for explicit approval
autoContinue automatically
defaultUse the repo's default policy for that stage

There is no runtime auto-judge gate in the current product path.

Stage Summary

StageMain outputsPrimary agents
ideationcandidate ideas, idea-card, verificationScout, Judge
baseline-digestionbaseline structured filesScout
designresearch-contract, experiment-planPlanner, Judge
implementationbaseline reproduction, implementation notesCoder, Planner
trainingtraining status and experiment outputsCoder
analysisanalysis-verdict, postmortem if neededJudge
writingpaper draft, figures manifestWriter, Coder
reviewnovelty search, reviewer outputs, format/reference checksScout, Judge, Coder

Key State Files

The pipeline depends on these files:

  • .omr/research/project.json
  • .omr/research/pipeline.yaml
  • .omr/research/HANDOFF.md
  • .omr/research/dispatch-log.jsonl
  • .omr/research/log.jsonl

Detailed Stages

  1. Ideation
  2. Baseline Digestion
  3. Design
  4. Implementation
  5. Training
  6. Analysis
  7. Writing
  8. Review

AutoResearch — Multi-agent Deep Learning Research System