Bounded-distortion L_(1) embeddings of planar and bounded-treewidth graphs
OpenAI research collection · 2 manuscripts · Source checked 2026-10-19
OpenAI's result summary
Resolves the planar and bounded-treewidth cases of the Gupta–Newman–Rabinovich–Sinclair conjecture. Shortest-path metrics of finite connected graphs with arbitrary positive edge lengths embed into real L_(1) with universal distortion for planar graphs, and distortion depending only on treewidth for bounded-treewidth graphs. The corresponding multicommodity flow–cut gaps are uniformly bounded.
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MANUSCRIPT 01
Planar Graph Metrics Embed into L1 with Constant Distortion
We prove that every finite connected planar graph with arbitrary positive real edge lengths embeds into real L_(1) with a universal distortion bound. This resolves the planar embedding conjecture positively.
This PDF is listed in OpenAI's formalization catalogue. See the scope and dependencies before interpreting coverage.
For every fixed treewidth bound, the shortest-path metrics of finite connected graphs with arbitrary positive real edge lengths embed into real L_(1) with uniformly bounded distortion. This resolves the bounded-treewidth case of the Gupta–Newman–Rabinovich–Sinclair conjecture positively.
This PDF is listed in OpenAI's formalization catalogue. See the scope and dependencies before interpreting coverage.
New mathematical reasoning could help AI tackle harder scientific and computational problems. How reliably these skills transfer beyond mathematics will determine how much they contribute to general intelligence.