The Minimal Distance Problem
How well separated can a family of point-line pairs in the unit square be? For every there are arbitrarily large families in with and for all . Combined with earlier work of Cohen, Pohoata and Zakharov this settles the problem at the sharp exponent . The same construction disproves a conjecture of Hunter, Pohoata, Verstraete and Zhang about induced point-line matchings over finite fields.
- Result
- Proved(see note)
- Status
- Resolved
- AI contribution
- AI co-developed
- Method
- Construction
- Field
- Discrete geometry
- Posed by
- Cohen, Pohoata, Zakharov
- Year posed
- —
- Years open
- —
- Solved
- 2026-07-22
- Model
- GPT-5.6 Pro
- Vendor
- OpenAI
- Collaborators
- Cosmin Pohoata
- Verification
- Unreviewed
- Publication
- Preprint
- Significance
- 20 / 100
- Disclosed cost
- —
- Wikipedia
- No dedicated article
What was actually shown
also disproves a separate finite-field conjecture of Hunter, Pohoata, Verstraete and Zhang
What the AI did
The acknowledgement draws the line precisely. The author's own plan was to use a high-degree number field analogue of the Hunter-Pohoata-Verstraete-Zhang construction to reach the Ruzsa endpoint. In his words, the decisive new idea of using the codimension-one, square-difference-free, trace-zero lattice in place of a Ruzsa-like set, which is what upgrades the exponent to the sharp one, is entirely due to GPT-5.6 Pro.
Verification
Single-author arXiv preprint; not yet peer-reviewed.
Source
arXiv:2607.20422 - The sharp exponent for the minimal distance problem