VibeMathedMath problems solved by AI

Optimal Chain Density and Space-Time Tradeoffs for the TSP

The paper nearly settles the tradeoff between the size of a set system over [n][n] and its number of full chains, an extremal question raised by Johnson, Leader and Russell as a counterpart to Sperner-type results, and linked by recent work to the space and time complexity of Bellman–Held–Karp dynamic programming for permutation problems.

Result
Proved(see note)
Status
Partial result
AI contribution
AI-assisted
Method
Argument
Field
Extremal Set Theory, Algorithms
Posed by
Johnson, Leader and Russell
Year posed
2015
Years open
11y
Solved
2026-07-13
Model
ChatGPT 5
Vendor
OpenAI
Collaborators
Alexandr Andoni, Justin Dallant, László Kozma, Hantao Yu
Verification
Unreviewed
Publication
Preprint
Significance
15 / 100
Disclosed cost
Wikipedia
No dedicated article

What was actually shown

The authors describe the tradeoff as nearly settled rather than settled.

What the AI did

The disclosure is one sentence: the results of the paper were obtained with the help of ChatGPT 5. It says the results rather than the exposition, but does not say how much, so the lowest tier applies.

Verification

No independent review, and the single-sentence disclosure does not separate the model's contribution from the authors'. Preprint, not refereed.

Source

arXiv

Discussion