GitSwarm paper: agents collaborate through a shared Git repo, solving all 30 IMOProofBench-Advanced problems
anirudhg9119 · x · 2026-10-10
Anirudh Goyal and co-authors including Salakhutdinov, Courville and Jason Weston released GitSwarm: Decentralized Compounding Inference.
- Core idea of 'compounding inference': current scaling means either many independent attempts (rediscovering work) or one long trajectory (losing discoveries to context compression). GitSwarm makes intermediate research a persistent, reusable artifact.
- Mechanism: no central planner, no fixed roles—identical agents work asynchronously in a shared, branchable Git repo, publishing atomic commits; branches preserve competing hypotheses and explicit informedby links trace semantic inheritance across branches.
- Results: solved all 30 IMOProofBench-Advanced problems in one run with GPT-5.5; scored 79.4% mean on ProgramBench vs 65.1% for the strongest baseline.
- Emergent collaboration: on programming tasks workers kept building and integrating to the end; on proof tasks effort shifted toward verification and candidate selection.
The authors frame inference as an accumulable, branchable, attributable record of what worked, what failed, and what to try next.
Related event: GitSwarm: Decentralized Compounding Inference via Shared Git Repositories(10 posts)→
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