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Constant-factor hardness of Min-UnCut
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Abstract
For every fixed C > 1, approximating Min-UnCut within factor C is NP-hard, even on simple undirected unweighted graphs.
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Notes
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work in progress
Collected automatically by AI tools (Claude Opus 5.5 and GPT-6 Astra, 2026-10-21) and not checked by a person. May be wrong or incomplete. Report an error.
Comments and discussion
- Scott Aaronson, The Mathocalypse (Shtetl-Optimized, 2026-10-07). Relays Dana Moshkovitz's first reading of the release; her quoted messages note that it also contains "direct optimal NP hardness of approximation proofs" for the main applications of the UGC, bypassing the UGC. [family-level]
- Comment thread, 102. The Unique Games Conjecture and optimal approximation thresholds (mahrud/openai-math-comments PR #102, opened 2026-10-09). Thread for human commentary on the five manuscripts; so far its only human comment points to the Fei–Minzer–Wang 4-to-1 games preprint and the Quanta article. [family-level]
Formalization
- OpenAI, Lean scope notes for family 102 (release Lean docs, lean/docs/102.md). Describes the formalized statements of all five results, for this paper explicit unweighted Min-UnCut reductions with arbitrarily large fixed multiplicative gaps, and links the corresponding Comparator challenge files. [family-level]
Digests and expositions
- Latent Seminar, Unique Games and optimal approximation thresholds (2026-10-07). Explains the direct comparison-test construction and path gadgets preserving absolute uncut cost, without claiming independent verification. [family-level]
Elsewhere
- Emergent Mind: family 102
Independent sites; their content is not reviewed here.
Cite
@misc{OAI:Constant-factor-hardness-of-Min-UnCut-September-23-2026,
author = {{OpenAI}},
title = {{Constant-factor hardness of Min-UnCut}},
howpublished = {OpenAI Math Release preprint
\href{https://github.com/openai/math/blob/main/preprints/Constant-factor-hardness-of-Min-UnCut-September-23-2026/paper.pdf}{OAI:Constant-factor-hardness-of-Min-UnCut-September-23-2026}},
year = {2026}
}Lean formalization
OpenAI provides Lean files for this family: lean/docs/102.md. The Lean statements have not been checked by people against the paper's claims.
Family 102: The Unique Games Conjecture and optimal approximation thresholds
Proves Khot's Unique Games Conjecture. Independent direct reductions also establish NP-hardness, on unweighted graphs, of approximation beyond the Goemans–Williamson ratio for Max-Cut, below factor two for Vertex Cover, and within any fixed constant factor for Min-UnCut and directed feedback vertex set. These direct proofs use established PCP and Label Cover hardness results.
Other papers in this family:
- The Unique Games Theorem · September 23, 2026
- A Direct Proof of Optimal Max-Cut Hardness · September 23, 2026
- The Factor-Two Hardness Threshold for Vertex Cover · September 23, 2026
- Constant-factor hardness of directed feedback vertex set · September 23, 2026