2026-10-11 16:37 UTC

Shengtao Guo, Ethan X. Fang, and Junwei Lu claim Odin discovered a proof giving a dimension-independent bound for the Komlós signing problem and square-root Beck–Fiala discrepancy, potentially establishing a major mathematical discovery by an AI research agent.

state: seedheat: lowuncertainty: highnovelscott: lowai-assisted-mathematics research-agents automated-theorem-provingShengtao GuoEthan X. FangJunwei LuOdin

What is this?

The case attributes to Shengtao Guo, Ethan X. Fang, and Junwei Lu a claim that an AI system called Odin discovered a proof of a dimension-independent 3√(2π) bound for the Komlós signing problem, also yielding square-root Beck–Fiala discrepancy. The supplied mathematical snippets establish the significance: Komlós asks whether unit-length vectors can always be signed so every coordinate of their sum stays within a universal constant, and implies the related Beck–Fiala conjecture about balancing set systems. However, none of the web results corroborates the claimed paper, its authorship, Odin’s identity or contribution, or independent verification; the institutional snippets describe weaker, logarithmically dependent bounds rather than this claimed resolution.

Why it matters to Scott

An independently verified AI-originated discovery could bear on Scott’s Formalisation Bottleneck claim that choosing what to formalise is the scarce skill, but the supplied material establishes neither Odin’s contribution nor the proof’s validity; no substantive challenge or convergence is demonstrated yet. The radar tracks research agents and theorem proving, but the supplied hits do not establish prior coverage of this Odin/Komlós claim.
ip:concept.formalisation-bottleneckradar:concept.research-agentsradar:concept.theorem-proving
queries asked of Scott's wikis
  • autonomous research agents original discovery versus benchmark performance
  • agent verification harnesses independent validation
  • AI mathematical proofs formal verification theorem proving
  • human AI collaboration autonomy attribution provenance
  • long-horizon research agents reasoning reliability

Measured heat

now 0 pts/hpeak 0 pts/hcomments 0/hpeers p0momentum: steady2 platformsage 770h
points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion

How the heat travelled

09-09 14:00⭐ origin echo-reconstructedThe paper claims a 3√(2π) bound for the Komlós signing problem and the square-root dependence predicted by the Beck–Fiala conjecture, statin
Shengtao Guo, Ethan X. Fang, and Junwei Lu on paper (echo) · attributed from reddit.post.1wexzzr
—
09-13 04:40first on r/singularity · published · +86.7hMysterious AI system, "Odin," is credited with discovering a proof of the Komlós conjecture
badumtsssst
—
09-13 04:40amplified on r/singularity 👑reddit.post.1wexzzr
badumtsssst
peak 115 · 20 comments · 78% of case engagement
09-13 13:41amplified on r/singularityreddit.post.1wf8030
Old-School8916
peak 35 · 4 comments · 22% of case engagement
09-13 05:20our radar first saw it · +87.3hdiscovery anchor: reddit.post.1wexzzr—
pace: p72 vs 519 stories at the 720h mark (now 770h old) — ahead of gvs5h-qwen38-coding-ensemble (1.0x), behind nvidia-pair-local-inference-router (1.0x)

Evidence (3) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditMysterious AI system, "Odin," is credited with discovering a proof of the Komlós conjecture
singularity
Retrieved article excerpt

Open article · Retrieved 2026-09-13T05:21:53.066146+00:00

# Mathematics > Combinatorics

**arXiv:2609.11189** (math)

[Submitted on 10 Sep 2026]

# Title:Vector Balancing via Directional Total Variation

Authors:[Shengtao Guo](https://arxiv.org/search/math?searchtype=author&query=Guo,+S), [Ethan X. Fang](https://arxiv.org/search/math?searchtype=author&query=Fang,+E+X), [Junwei Lu](https://arxiv.org/search/math?searchtype=author&query=Lu,+J)

View a PDF of the paper titled Vector Balancing via Directional Total Variation, by Shengtao Guo and 2 other authors

[View PDF](https://arxiv.org/pdf/2609.11189)
[HTML (experimental)](https://arxiv.org/html/2609.11189v1)
> Abstract:Our main result is a $3\sqrt{2\pi}$ bound for the Komlós signing problem: every finite family of real vectors of Euclidean norm at most one admits a signed sum of $\ell\_\infty$-norm less than this constant, independently of the dimension and the family size. For any $\kappa\ge0$, if a bounded open convex set supports a probability density with directional total variation at most $\kappa$ in every unit direction, then its open-set Banaszczyk transform supports another such density with the same $\kappa$, provided the translation vector $v$ satisfies $\kappa\|v\|\_2\le1/3$. As a consequence, every finite set system in which each element belongs to at most $t$ sets, where $t\ge1$ is an integer, admits a two-coloring whose imbalance in each set is less than $3\sqrt{2\pi t}$. This gives the square-root dependence predicted by the Beck-Fiala conjecture. The proof was discovered by the Odin Automatic AI Research Agent.

|  |
| --- |
| Comments: |
| Subjects: | Combinatorics (math.CO); Functional Analysis (math.FA) |
| Cite as: | [arXiv:2609.11189](https://arxiv.org/abs/2609.11189) [math.CO] |
|  | (or  [arXiv:2609.11189v1](https://arxiv.org/abs/2609.11189v1) [math.CO] for this version) |
|  | <https://doi.org/10.48550/arXiv.2609.11189> Focus to learn more  arXiv-issued DOI via DataCite |

## Submission history

From: Shengtao Guo [[view email](https://arxiv.org/show-email/2cf34991/2609.11189)]   
 **[v1]**
Thu, 10 Sep 2026 07:54:44 UTC (23 KB)

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View a PDF of the paper titled Vector Balancing via Directional Total Variation, by Shengtao Guo and 2 other authors

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- [HTML (experimental)](https://arxiv.org/html/2609.11189v1)
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🟧 echo.paper ⭐The paper claims a 3√(2π) bound for the Komlós signing problem and the square-root dependence predicted by the Beck–Fiala conjecture, statinShengtao Guo, Ethan X. Fang, and Junwei Lu——
🟠 redditClaimed proof of the Komlós conjecture using AI
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