Ablation of PG graph scope (full vs localized subgraph) and guidance consumption mode (raw injection vs generative) on MultiChallenge 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 MultiChallenge 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)	80.27%	—	Not assessed
configuration: Baseline (no graph)	6,629 tokens	—	Not assessed
configuration: Baseline (no graph)	3.87 steps	—	Not assessed
configuration: Full graph, raw injection	86.6%	—	Not assessed
configuration: Full graph, raw injection	10,164 tokens	—	Not assessed
configuration: Full graph, raw injection	4.54 steps	—	Not assessed
configuration: Full graph, generative	87.35%	—	Not assessed
configuration: Full graph, generative	14,434 tokens	—	Not assessed
configuration: Full graph, generative	3.08 steps	—	Not assessed
configuration: Subgraph, generative (Ours)	89.31%	—	Not assessed
configuration: Subgraph, generative (Ours)	12,295 tokens	—	Not assessed
configuration: Subgraph, generative (Ours)	4.22 steps	—	Not assessed

Reported and observed measurements

Assessments (0)

Runs (0)

Measurement results