Qwen3-VL routing becomes somewhat more concentrated during decoding than during prompting but remains flatter than the text model; bootstrap intervals over layers support stable differences in top-eight mass and entropy.

Qwen3-VL routing becomes somewhat more concentrated during decoding than during prompting but remains flatter than the text model; bootstrap intervals over layers support stable differences in top-eight mass and entropy. · CiteArk

Measurement results

0/8 assessed

0 supported0 disputed or conflicting8 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
printedValue: 20.5	20.5%	—	Not assessed
printedValue: 51.7	51.7%	—	Not assessed
printedValue: −26.0	-26 percentage points	—	Not assessed
printedValue: −31.1	-31.1 percentage points	—	Not assessed
printedValue: −21.2	-21.2 percentage points	—	Not assessed
printedValue: +0.70	0.7 nats	—	Not assessed
printedValue: +0.54	0.54 nats	—	Not assessed
printedValue: +0.85	0.85 nats	—	Not assessed

Qwen3-VL routing becomes somewhat more concentrated during decoding than during prompting but remains flatter than the text model; bootstrap intervals over layers support stable differences in top-eight mass and entropy.

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results