docs/submission_prep.md

Submission Preparation Checklist (DOC 09)

Required Links

Field	Link	Status
GitHub repo	https://github.com/Ayush10/replicalab-ai	Ready
HF Space	https://ayushozha-replicalab.hf.space	Live
Demo video (YouTube)	pending upload	DOC 07
Colab notebook	notebooks/train_colab.ipynb (link after push)	Ready
Fallback demo	https://ayushozha-replicalab.hf.space/web	Ready

Partner Track Selections

Track	Justification
Multi-Agent Interactions	Two roles (Scientist + Lab Manager) with private information negotiate toward consensus
World Modeling (Professional)	Agent reasons inside a professional world with hidden constraints and resource limits
Long-Horizon Planning	Multi-round ask-revise-recover-converge cycle over up to 6 negotiation rounds
Self-Improvement	Scientist measurably improves over repeated RL training episodes

Pre-submission Verification

• GitHub repo is public (gh repo view --json isPrivate)
• HF Space is live and /health returns 200
• /web fallback works on HF Space
• Demo video is uploaded and accessible (unlisted YouTube)
• README has results table, setup instructions, and architecture diagram
• No API keys or secrets in tracked files
• All team members listed in README

Submission Form Fields

Fill in the submission form with the links above. Double-check:

• Project name: ReplicaLab
• Team members: Ayush, Kian, Max, Kush
• One-line summary: Multi-agent constraint-aware negotiation environment that trains an AI Scientist to negotiate feasible replication plans under real-world resource constraints.
• Tracks: Multi-Agent Interactions, World Modeling, Long-Horizon Planning, Self-Improvement