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

测量结果

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保留同一结论下的完整结果组。已有评估排在前面；单项判断不替代整组结论。展开行查看条件、来源与历次证据。

每行是一项测量，分别显示论文报告、最近可用实测和累计证据状态。
指标与条件	论文报告	最近可用实测	证据判断
configuration: Baseline (no graph)	54.8 points	—	尚未评估
configuration: Baseline (no graph)	275,638 tokens	—	尚未评估
configuration: Baseline (no graph)	28.2 steps	—	尚未评估
configuration: Full graph, raw injection	57.17 points	—	尚未评估
configuration: Full graph, raw injection	264,680 tokens	—	尚未评估
configuration: Full graph, raw injection	33.55 steps	—	尚未评估
configuration: Full graph, generative	56.75 points	—	尚未评估
configuration: Full graph, generative	448,972 tokens	—	尚未评估
configuration: Full graph, generative	22.07 steps	—	尚未评估
configuration: Subgraph, generative (Ours)	63.99 points	—	尚未评估
configuration: Subgraph, generative (Ours)	367,738 tokens	—	尚未评估
configuration: Subgraph, generative (Ours)	18.57 steps	—	尚未评估

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测量结果