Theoretical computer science·OpenAI Math·Result 106·Lean formalisation listed
Hardness of coloring three-colorable graphs
One of the 372 results in OpenAI's public mathematics catalogue, filed under theoretical computer science: 1 preprint, the latest dated 24 September 2026. This page quotes OpenAI's own summary of the claim, links the paper and abstract, and will embed the animation.
Latest paper
Hardness of finding large independent sets in three-colorable graphs
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What OpenAI claims
It is NP-hard to color a three-colorable graph using any fixed number c ≥ 3 of colors. More strongly, for every fixed 0 < δ < 1/3, a deterministic polynomial-time reduction from 3SAT produces simple unweighted graphs that are three-colorable in the satisfiable case and have no independent set of size δ n otherwise, where n is the number of vertices. (Lean)
Paper
Hardness of finding large independent sets in three-colorable graphs
We prove that, for every fixed 0 < δ < 1/3, it is NP-hard to distinguish three-colorable graphs from graphs in which every independent set has fewer than δ times the number of vertices. Consequently, for every fixed integer c ≥ 3, finding a proper c-coloring of a three-colorable graph is NP-hard.
Status
Preprint. The paper has not been independently reviewed. Treat the result as OpenAI's claim until other mathematicians have checked it. If a video exists, it illustrates the statement; it is not the proof.
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