R49 name-pool token-split re-measurement after the dense-Qwen3 carrier ruling.
Run 2026-09-09 23:2x PT on pfi-gx10 via scripts/training-probes/tokenize_name_pool.py
against brokkr-smithy research/R49-author-voice-adapters/tools/name_dictionary.json
(unmodified). Names tokenized with a leading space. Pool DEDUPED across locales,
which reconciles with the dictionary's own `totals` block: male_given 5,339 and
female_given 5,226 match exactly.

dictionary totals block: {"male_given": 5339, "female_given": 5226,
                          "surnames_neutral": 11840, "surnames_gendered_pairs": 3,
                          "ambiguous_dropped": 167}
deduped measured       : {"male_given": 5339, "female_given": 5226,
                          "surnames": 13549}  sum 24114
  (surnames differs because this unions surnames_male/surnames_female in as well.)

== Qwen3-1.7B-Base   config vocab 151,936   tokenizer.vocab_size 151,643
   male_given     mean 2.40  multi  87.1%   1tok 12.9% 2tok 47.2% 3tok 29.0% 4tok  9.1% 5tok  1.6% 6tok  0.2%
   female_given   mean 2.44  multi  92.3%   1tok  7.7% 2tok 51.7% 3tok 30.9% 4tok  8.5% 5tok  1.1% 6tok  0.2%
   surnames       mean 2.48  multi  90.7%   1tok  9.3% 2tok 44.7% 3tok 35.9% 4tok  9.0% 5tok  1.2% 6tok  0.1%
   POOL           mean 2.46  multi  90.3%

== Qwen3.5-2B-Base   config vocab 248,320   tokenizer.vocab_size 248,044
   male_given     mean 2.25  multi  83.6%   1tok 16.4% 2tok 50.5% 3tok 25.5% 4tok  6.6% 5tok  0.9% 6tok  0.0%
   female_given   mean 2.33  multi  90.2%   1tok  9.8% 2tok 55.5% 3tok 27.8% 4tok  6.1% 5tok  0.9% 6tok  0.0%
   surnames       mean 2.36  multi  88.8%   1tok 11.2% 2tok 49.2% 3tok 32.9% 4tok  6.1% 5tok  0.5% 6tok  0.0%
   POOL           mean 2.33  multi  88.0%

READ: the multi-token property STRENGTHENS on the dense carrier, 88.0% -> 90.3%,
mean 2.33 -> 2.46. A smaller vocabulary fragments more, so Qwen3's 151,936 splits
names into more pieces than Qwen3.5's 248,320. The operator's requirement --
multi-token names forcing reconstruction from the prefix rather than recall of one
embedding -- is better served after the ruling, not worse.

POSITIVE CONTROL: the Qwen3.5 column reproduces R49 F02's published figure for the
same pool on the same tokenizer (F02: 89% multi-token, mean 2.35; here: 88.0%,
2.33). Within a point on both, so the instrument recovers a known-true value
before being asked about an unknown one.