Uniform L1 distortion for bounded treewidth
Status OpenLLM status Open unverified
Top Open Problems unknownunknown Not reported cataloguedOpenOpenStatement
Definitions and mathematical statement
Statement recorded in the supplied source.
For each positive integer k, does a finite C(k) bound the $L^{1}$ embedding distortion of all finite connected graphs with positive real edge lengths and a tree decomposition having at most k vertices per bag? The constant is independent of graph size and lengths, and embeddings may use an arbitrary real $L^{1}$ target and positive scale.Short English statement
For each positive integer k, does a finite C(k) bound the $L^{1}$ embedding distortion of all finite connected graphs with positive real edge lengths and a tree decomposition having at most k vertices per bag? The constant is independent of graph size and lengths, and embeddings may use an arbitrary real $L^{1}$ target and positive scale.Sources
- S1 Original question source or mathematical context. https://arxiv.org/html/2111.07974v1.
- S2 OpenAI, manuscript citation page. Source of the formulation motivating this local problem. https://github.com/openai/math/blob/adc7f1241b42e322a6451854ab7e4b4c146bf78a/preprints/L1-Embeddings-of-Graphs-of-Bounded-Treewidth-September-23-2026/README.md.
Statement licence: CC-BY-4.0 · Source file
Contributions 1
OpenAI claim summary for Math-2632
The result supplies the conclusion in this problem with its displayed hypotheses and quantifiers. The broader statements and applications in the manuscript are kept separate from the particular question above. The supporting result is manuscript 1 (family 089; 2026-09-23).
Uniform L1 distortion for bounded treewidth
OpenAI's claim
OpenAI presents the following claims relevant to this question, with manuscript numbers following paper order in Sources. In manuscript 1 (family 089; 2026-09-23), the asserted result is that each fixed treewidth class has a uniform $L_1$ distortion bound for arbitrary positive weighted shortest-path metrics.Mathematical statement of the claimed result
Manuscript 1.
For every integer $k\ge2$, the claim gives a constant $C_k<\infty$ such that any finite connected graph whose tree decomposition has every bag cardinality bounded by $k$, with arbitrary strictly positive edge lengths, has a real $L^1$ embedding $F$ satisfying \[ d_{G,\ell}(u,v)\le\|F(u)-F(v)\|_1\le C_kd_{G,\ell}(u,v) \qquad(u,v\in V(G)). \] The constant depends only on bag size, not on vertex count, decomposition depth or edge-length ratios. Bag size $k$ corresponds to treewidth at most $k-1$.Outline of the argument
For manuscript 1 (family 089; 2026-09-23), consistent cut laws are built directly on decomposition bags and glued by a Markov construction. A common-submeasure transport estimate preserves separation along long bag paths; threshold sweeps and protected anchors keep a useful distance scale alive.Formal verification
For manuscript 1 (family 089; 2026-09-23), OpenAI lists Lean statements for this assertion: each fixed treewidth class has a uniform $L_1$ distortion bound for arbitrary positive weighted shortest-path metrics.The central assertion is within the documented formal scope; the additional applications retain their own scope limits.
The linked family Comparator checks are BoundedTreewidthL1.lean, PlanarL1.lean.
Their named declarations include OAI.BoundedTreewidthL1.main_theorem, OAI.PlanarL1.planar_graph_metrics_embed_L1.
This site has not executed the Lean code. Described statement coverage is not an independent proof check.
Status caveat
The manuscripts were produced by an internal OpenAI model. OpenAI cautions that results without formalization can contain mistakes. This site has not independently checked the proofs; the label records the scope of OpenAI's claim.Sources
- OpenAI, L${}_{1}$ Embeddings of Graphs of Bounded Treewidth, 2026-09-23; citation key
OAI:L1-Embeddings-of-Graphs-of-Bounded-Treewidth-September-23-2026. PDF (GitHub); PDF (direct); Manuscript page and citation; Latest version; Statement source: thm:main, eq:main-embedding. - Family 089: Lean scope.
- Comparator BoundedTreewidthL1.json.
- Comparator BoundedTreewidthL1.lean.
- Comparator PlanarL1.json.
- Comparator PlanarL1.lean.
- OpenAI catalogue entry.