Step-level generative guidance introduces substantial token overhead relative to unguided baselines, even when it shortens solver trajectories. On GDPval and ALFWorld, localized guidance reduces average solver steps from 28.20 to 18.57 and from 21.84 to 18.80, respectively, but total token consumption remains 33.4% and 55.4% higher due to the per-step guidance model call.

Step-level generative guidance introduces substantial token overhead relative to unguided baselines, even when it shortens solver trajectories. On GDPval and ALFWorld, localized guidance reduces average solver steps from 28.20 to 18.57 and from 21.84 to 18.80, respectively, but total token consumption remains 33.4% and 55.4% higher due to the per-step guidance model call. · CiteArk

Measurement results

0/2 assessed

0 supported0 disputed or conflicting2 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
	33.4%	—	Not assessed
	55.4%	—	Not assessed

Reported and observed measurements

Assessments (0)

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Measurement results