All 256 analyzable deployed chat tokenizers were forgeable through the plain encoder; 99.6% were also forgeable through template rendering, and enabling split_special_tokens still left 56.6% forgeable because 56.2% of models had at least one template-emitted control token not marked special.

All 256 analyzable deployed chat tokenizers were forgeable through the plain encoder; 99.6% were also forgeable through template rendering, and enabling split_special_tokens still left 56.6% forgeable because 56.2% of models had at least one template-emitted control token not marked special. · CiteArk

Measurement results

0/38 assessed

0 supported0 disputed or conflicting38 not assessed

The complete result group stays with its claim. Assessed rows come first; their judgments do not replace the whole-claim conclusion. Expand a row for conditions, sources, and evidence history.

Each row is a measurement with its reported value, latest available observation, and cumulative evidence state.
Metric and conditions	Reported	Latest observation	Evidence judgment
	400 repositories	—	Not assessed
	120 repositories	—	Not assessed
	24 repositories	—	Not assessed
	256 tokenizers	—	Not assessed
	99.6 percent of analyzed tokenizers	—	Not assessed
	56.2 percent of analyzed tokenizers	—	Not assessed
family: Qwen	59 tokenizers	—	Not assessed
family: Qwen · condition: default	100%	—	Not assessed
family: Qwen · condition: split_special_tokens enabled	84.7%	—	Not assessed
family: Nvidia	11 tokenizers	—	Not assessed
family: Nvidia · condition: default	100%	—	Not assessed
family: Nvidia · condition: split_special_tokens enabled	81.8%	—	Not assessed

All 256 analyzable deployed chat tokenizers were forgeable through the plain encoder; 99.6% were also forgeable through template rendering, and enabling split_special_tokens still left 56.6% forgeable because 56.2% of models had at least one template-emitted control token not marked special.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results