VibeMathedMath problems solved with AI

Counting Linear Extensions Below the 2n2^n Barrier

Koivisto asked at Dagstuhl in 2013 whether the linear extensions of an arbitrary nn-element poset can be counted exactly in time O(cn)O^*(c^n) for some c<2c < 2. Yes: a deterministic exact algorithm runs in O(1.89n)O^*(1.89^n), breaking the 2n2^n barrier for the general problem.

Result
Proved
Status
Candidate (review pending)
AI contribution
AI-discovered
Method
Argument
Field
Exact exponential algorithms
Posed by
Mikko Koivisto, at Dagstuhl
Year posed
2013
Years open
13y
Solved
2026-08-19
Model
Claude Opus 5, ChatGPT 5.6 Sol
Vendor
Anthropic, OpenAI
Collaborators
Keigo Oka
Verification
Unreviewed
Publication
Preprint
Significance
28 / 100
Disclosed cost
Wikipedia
No dedicated article

What the AI did

The paper's disclosure: "The core mathematical ideas underlying the new part of the algorithm and proof were discovered by Claude Opus 5 (Anthropic) during AI-assisted mathematical exploration" - naming the first-upper-element pattern representation, multiplicity-profile decoding, the deadline dynamic program and the state-counting strategy of Sections 3 to 5. The chain-partition bound of Section 2 refines Kozma and is not new. The research prompt supplied to Claude Opus 5 was itself generated by ChatGPT 5.6 Sol, modelled on OpenAI's publicly released prompt for their cycle double cover work.

Verification

Checked by this site on 21 August 2026 against the paper (arXiv:2608.19505v1): the disclosure is verbatim as quoted and Koivisto's Dagstuhl 2013 question is cited in the abstract. This is an exact deterministic algorithm with a proved worst-case bound, not a heuristic, so it clears the methodology's exclusion. The ancillary Python script cross-checks correctness against brute force on small posets and does not certify the running time; it was not re-run here. Days-old preprint, no independent review.

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