Kiran Mohan@Phoenixrises

Research papers often claim reproducibility while leaving critical evidence scattered across PDFs, arXiv records, DOI metadata, GitHub repositories, datasets, and informal implementation notes. The Agentic Reproducibility Engine turns that messy audit process into a visible multi-agent workflow. Users submit a paper or paper reference through a static web interface. The backend runs a sequence of specialized agents that plan the audit, extract claims and artifacts, retrieve external evidence, score reproducibility risk, design a replication plan, generate code/data follow-up commands, and critique unsupported assumptions before writing the final report. The UI streams the work live so judges can inspect agent artifacts, tool calls, resolver outcomes, verifier objections, and final provenance. The target deployment uses a Hugging Face Static Space as the public frontend and an AMD Developer Cloud instance as the backend. The AMD host serves Qwen/Qwen3.5-27B through vLLM on ROCm and runs the FastAPI agent API. The system is designed to fail closed: if arXiv, DOI, GitHub, or dataset evidence cannot be verified, the report records that gap and degrades the decision rather than inventing placeholder evidence. The project includes a public GitHub repo, self-serve AMD/Hugging Face deployment kit, deterministic eval harness, static frontend, API backend, live evidence resolver tools, and an audit trace format for reproducibility evidence.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.