A Ranked Field, Not an Answer

The model's output is a ranked distribution across the entire vocabulary, not a single stored answer. A few candidates hold most of the probability mass, and a long tail of thousands of entries holds a small share each. Because the output is a distribution, many tokens remain possible at every step, and the ranking is the model's entire contribution at this position.