Nemotron 3 Ultra Behavioral Fingerprint

How NVIDIA's Nemotron 3 Ultra answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 448 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).

Vendor

NVIDIA

Data generated

2026-07-08

Probe cells

15

Valid samples

448

Randomness score

29 / 100

Mean normalized entropy across cells, 0–100. 100 would be a uniform-random baseline; real models score far lower.

Signature answers

Favorite random number (1–100)

42

30 / 30 answers

Favorite color

blue

18 / 30 answers

Coin flip: heads

80%

Share of heads across coin-flip cells.

Answer distributions by probe cell

Empirical distributions of normalized one-word answers, per task and language. H is the Shannon entropy in bits; the uniform baseline is log2 of the answer-domain size.

Coin flip · English

n = 30 · H = 0.78 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2376.7%
tails723.3%

Coin flip · Chinese

n = 30 · H = 0.65 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2583.3%
tails516.7%

Favorite number · English

n = 29 · H = 0.98 bit · uniform baseline 13.29 bit

AnswerCountShare
71758.6%
421241.4%

Favorite number · Chinese

n = 30 · H = 0.99 bit · uniform baseline 13.29 bit

AnswerCountShare
421756.7%
71343.3%

Random animal · English

n = 30 · H = 2.79 bit · uniform baseline 5.64 bit

AnswerCountShare
penguin1343.3%
tiger310.0%
giraffe310.0%
otter26.7%
elephant26.7%
platypus26.7%
lynx13.3%
dolphin13.3%

+ 3 more answers

Random animal · Chinese

n = 30 · H = 2.42 bit · uniform baseline 5.64 bit

AnswerCountShare
企鹅1653.3%
大象310.0%
河马26.7%
26.7%
猴子26.7%
羊驼13.3%
鹦鹉13.3%
狮子13.3%

+ 2 more answers

Random city · English

n = 30 · H = 2.08 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo1963.3%
paris26.7%
chicago26.7%
kyoto13.3%
oslo13.3%
zaragoza13.3%
berlin13.3%
copenhagen13.3%

+ 2 more answers

Random city · Chinese

n = 29 · H = 3.57 bit · uniform baseline 5.64 bit

AnswerCountShare
雷克雅未克724.1%
京都517.2%
东京26.9%
布拉格26.9%
巴塞罗那26.9%
柏林13.4%
托莱多13.4%
马拉喀什13.4%

+ 8 more answers

Random color · English

n = 30 · H = 2.02 bit · uniform baseline 4.91 bit

AnswerCountShare
blue1860.0%
azure310.0%
turquoise310.0%
indigo26.7%
cerulean13.3%
purple13.3%
crimson13.3%
teal13.3%

Random color · Chinese

n = 30 · H = 0.00 bit · uniform baseline 4.91 bit

AnswerCountShare
30100.0%

Random letter · English

n = 30 · H = 1.97 bit · uniform baseline 4.70 bit

AnswerCountShare
q1550.0%
k723.3%
m413.3%
g26.7%
z13.3%
j13.3%

Random number 1-10 · English

n = 30 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
730100.0%

Random number 1-10 · Chinese

n = 30 · H = 0.00 bit · uniform baseline 3.32 bit

AnswerCountShare
730100.0%

Random number 1-100 · English

n = 30 · H = 0.00 bit · uniform baseline 6.64 bit

AnswerCountShare
4230100.0%

Random number 1-100 · Chinese

n = 30 · H = 0.00 bit · uniform baseline 6.64 bit

AnswerCountShare
4230100.0%

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Data source & license

Distributions: Tomáš Bruckner, "One Token Is Enough" (arXiv:2607.10252), official dataset Zenodo DOI 10.5281/zenodo.21278557, licensed CC-BY-4.0. Collected via OpenRouter at temperature 1.0 under the paper's fixed minimal one-word system prompt; answer keys are re-normalized with the checker's pipeline (color aliases, number words, coin h/t) so live probes are directly comparable.

Paper on arXivDataset on ZenodoCC-BY-4.0 license

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