Ablation of PG graph scope (full vs localized subgraph) and guidance consumption mode (raw injection vs generative) on GDPval using Gemini 3.5 Flash. The localized generative subgraph configuration achieves superior performance while reducing token overhead relative to full graph generative guidance.

Ablation of PG graph scope (full vs localized subgraph) and guidance consumption mode (raw injection vs generative) on GDPval using Gemini 3.5 Flash. The localized generative subgraph configuration achieves superior performance while reducing token overhead relative to full graph generative guidance. · CiteArk

Measurement results

0/12 assessed

0 supported0 disputed or conflicting12 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
configuration: Baseline (no graph)	54.8 points	—	Not assessed
configuration: Baseline (no graph)	275,638 tokens	—	Not assessed
configuration: Baseline (no graph)	28.2 steps	—	Not assessed
configuration: Full graph, raw injection	57.17 points	—	Not assessed
configuration: Full graph, raw injection	264,680 tokens	—	Not assessed
configuration: Full graph, raw injection	33.55 steps	—	Not assessed
configuration: Full graph, generative	56.75 points	—	Not assessed
configuration: Full graph, generative	448,972 tokens	—	Not assessed
configuration: Full graph, generative	22.07 steps	—	Not assessed
configuration: Subgraph, generative (Ours)	63.99 points	—	Not assessed
configuration: Subgraph, generative (Ours)	367,738 tokens	—	Not assessed
configuration: Subgraph, generative (Ours)	18.57 steps	—	Not assessed

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results