Removing the Memorizer or Researcher lowers scores on all four benchmarks, with larger losses when the Researcher is removed. The controlled LoCoMo comparison shows that hierarchical organization over the same raw histories improves F1 and reduces online tokens, latency and action rounds, while adding a one-time workspace construction cost.

Removing the Memorizer or Researcher lowers scores on all four benchmarks, with larger losses when the Researcher is removed. The controlled LoCoMo comparison shows that hierarchical organization over the same raw histories improves F1 and reduces online tokens, latency and action rounds, while adding a one-time workspace construction cost. · 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
variant: w/o Memorizer · category: overall · benchmark: locomo	49.06 F1 points (0–100)	—	尚未评估
variant: w/o Memorizer · category: overall · benchmark: longmemeval	64%	—	尚未评估
variant: w/o Memorizer · category: overall · benchmark: narrativeqa	38.87 F1 points (0–100)	—	尚未评估
variant: w/o Memorizer · category: overall · benchmark: hotpotqa	57.72 F1 points (0–100)	—	尚未评估
variant: w/o Researcher · category: overall · benchmark: locomo	43.3 F1 points (0–100)	—	尚未评估
variant: w/o Researcher · category: overall · benchmark: longmemeval	58.4%	—	尚未评估
variant: w/o Researcher · category: overall · benchmark: narrativeqa	32.51 F1 points (0–100)	—	尚未评估
variant: w/o Researcher · category: overall · benchmark: hotpotqa	39.1 F1 points (0–100)	—	尚未评估
setting: Flat Raw Store · benchmark: LoCoMo	0 tokens/workspace	—	尚未评估
setting: Flat Raw Store · benchmark: LoCoMo	0 s/workspace	—	尚未评估
setting: Flat Raw Store · benchmark: LoCoMo	8,174.29 tokens/query	—	尚未评估
setting: Flat Raw Store · benchmark: LoCoMo	17.11 s/query	—	尚未评估

报告指标与观测值

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测量结果