Ling-2.6-1T Behavioral Fingerprint

How inclusionAI's Ling-2.6-1T answers one-word probe questions at temperature 1.0 — random numbers, colors, animals, coin flips — measured over 450 valid samples in the open dataset of "One Token Is Enough" (arXiv:2607.10252).

Vendor

inclusionAI

Data generated

2026-07-08

Probe cells

15

Valid samples

450

Randomness score

14 / 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

29 / 30 answers

Favorite color

cyan

13 / 30 answers

Coin flip: heads

98%

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 = 0.21 bit · uniform baseline 1.00 bit

AnswerCountShare
heads2996.7%
tails13.3%

Coin flip · Chinese

n = 30 · H = 0.00 bit · uniform baseline 1.00 bit

AnswerCountShare
heads30100.0%

Favorite number · English

n = 30 · H = 0.21 bit · uniform baseline 13.29 bit

AnswerCountShare
72996.7%
413.3%

Favorite number · Chinese

n = 30 · H = 0.00 bit · uniform baseline 13.29 bit

AnswerCountShare
730100.0%

Random animal · English

n = 30 · H = 1.45 bit · uniform baseline 5.64 bit

AnswerCountShare
elephant2170.0%
giraffe310.0%
octopus310.0%
kangaroo26.7%
tiger13.3%

Random animal · Chinese

n = 30 · H = 0.77 bit · uniform baseline 5.64 bit

AnswerCountShare
2686.7%
狮子26.7%
老虎13.3%
熊猫13.3%

Random city · English

n = 30 · H = 2.48 bit · uniform baseline 5.64 bit

AnswerCountShare
tokyo1653.3%
kyoto310.0%
paris26.7%
nairobi26.7%
sydney13.3%
vancouver13.3%
berlin13.3%
toronto13.3%

+ 3 more answers

Random city · Chinese

n = 30 · H = 2.36 bit · uniform baseline 5.64 bit

AnswerCountShare
东京1033.3%
上海723.3%
巴黎620.0%
伦敦413.3%
纽约13.3%
北京13.3%
重庆13.3%

Random color · English

n = 30 · H = 2.19 bit · uniform baseline 4.91 bit

AnswerCountShare
cyan1343.3%
cerulean620.0%
blue413.3%
crimson413.3%
azure26.7%
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 = 0.00 bit · uniform baseline 4.70 bit

AnswerCountShare
k30100.0%

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 = 0.21 bit · uniform baseline 6.64 bit

AnswerCountShare
422996.7%
4713.3%

Random number 1-100 · Chinese

n = 30 · H = 0.47 bit · uniform baseline 6.64 bit

AnswerCountShare
422790.0%
47310.0%

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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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