Steurer's Conjecture on Vectors with Small Average Correlation
Steurer conjectured in 2010 that any family of unit vectors with polynomially small average correlation contains linear-sized constant-separated sets. Refuted in a strong sense, using sparse high-dimensional expanders.
- Result
- Disproved
- Status
- Resolved
- AI contribution
- AI co-developed
- Method
- Construction
- Field
- Theoretical computer science
- Posed by
- David Steurer
- Year posed
- 2010
- Years open
- 16y
- Solved
- 2026-05-29
- Model
- GPT-5.5 Pro via an agentic system on Codex
- Vendor
- OpenAI
- Collaborators
- Farzam Ebrahimnejad, Shayan Oveis Gharan
- Verification
- Unreviewed
- Publication
- Preprint
- Significance
- 20 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What the AI did
Notable for the setup rather than the model: the authors used GPT-5.5 Pro primarily through an agentic system for long-horizon mathematical research, built by the first author on top of Codex and GPT models, and supplied it with their evolving research notes.
Verification
arXiv preprint; not yet peer-reviewed.
Source
arXiv:2606.00292 - High-Dimensional Expanders, the Sparsest Cut Problem, and Steurer's Conjecture