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deerflow-code/offline-backend-20260512/backend/knowledge/knowledge_base/routing/cross_reference_rules.md
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交叉引用规则

本文件用于处理跨议题、跨行动者、跨事件的问题。单一 routing 文件只能给出一个入口;真实分析通常需要组合读取。


使用原则

  • 若问题同时包含“人物 + 议题”,先读人物实体,再读议题叙事。
  • 若问题同时包含“事件 + 预测”,先读事件,再读重复模式和情境推演 playbook。
  • 若问题包含“当前/最新”,稳定知识与 live/ 必须分层使用。
  • 若多个文件对同一问题给出不同视角,输出时区分事实、立场和推论,不强行合并成单一结论。

一、强关联组合

用户问题主轴 必联读组合
赖清德两岸路线 entities/people/lai_ching_te.md + narratives/cross_strait/status_quo_drift.md + narratives/cross_strait/taiwan_independence_discourse.md
蔡英文与赖清德路线差异 entities/people/tsai_ing_wen.md + entities/people/lai_ching_te.md + events/recurring_patterns/pattern_tsai_lai_continuity_break.md
九二共识当代争议 primitives/concepts/92_consensus_evolution.md + primitives/concepts/one_china_three_versions.md + narratives/cross_strait/92_consensus_reinterpretation.md + narratives/china_side/1992_consensus_beijing_version.md
疑美论 narratives/us_taiwan/skepticism_of_us.md + narratives/us_taiwan/us_will_abandon_taiwan.md + narratives/us_taiwan/us_actual_policy_record.md + narratives/china_side/external_interference_discourse.md
川普因素 entities/foreign_actors/trump_administration_2.md + entities/foreign_actors/donald_trump.md + narratives/us_taiwan/trump_taiwan_uncertainty.md + primitives/frameworks/trump_factor_analysis.md
美对台军售 routing/by_arms_sales.md + narratives/us_taiwan/arms_sales_dynamics.md + events/timelines/major_us_taiwan_arms_sales_timeline.md + events/recurring_patterns/pattern_china_response_to_arms_sales.md + playbooks/analyzing_arms_sales_announcement.md
台湾有事即日本有事 narratives/japan_taiwan/taiwan_emergency_japan_emergency.md + entities/foreign_actors/japan_pm_office.md + entities/alliances/us_japan_alliance_and_taiwan.md
军演与升级风险 events/timelines/military_pressure_timeline.md + entities/foreign_actors/pla_eastern_theater.md + playbooks/analyzing_pla_activity.md + playbooks/assessing_escalation_risk.md
2028 选举 analysis/elections/2028_election_outlook.md + entities/parties/ + events/key_events/event_2024_election_three_way.md + playbooks/scenario_planning_2028.md
蓝白合 entities/parties/cross_party_alliances.md + events/key_events/event_blue_white_collaboration_failure_2023.md + entities/parties/tpp_post_ko.md
国会改革争议 events/key_events/event_legislative_reform_controversy_2024.md + events/key_events/event_constitutional_court_ruling_2024.md + entities/institutions/legislative_yuan_overview.md
半导体与安全 narratives/domestic/semiconductor_geopolitics.md + narratives/us_taiwan/chip_island_discourse.md + narratives/japan_taiwan/semiconductor_supply_chain.md
青年政治疏离 narratives/domestic/youth_political_alienation.md + primitives/concepts/generation_politics.md + narratives/domestic/housing_crisis_discourse.md + narratives/domestic/wage_stagnation_narrative.md
受众分层与传播效果 audiences/ + entities/media/ + primitives/frameworks/voter_behavior_analysis.md + playbooks/audience_profile_analysis.md
世代政治与投票转移 audiences/generational/generation_comparison.md + narratives/domestic/generational_divide_voting.md + playbooks/analyzing_vote_transfer.md
蓝绿白阵营叙事接受度 audiences/political_identity/political_identity_overview.md + entities/parties/ + narratives/us_taiwan/skepticism_of_us.md + playbooks/narrative_audience_match.md

二、问题类型与联读规则

问题类型 联读方式
事实查询 优先读取实体、事件、时间线;必要时查 reference/。
解读/诠释 读取议题叙事 + 行动者实体 + 对应 analyzing_* playbook。
因果分析 读取事件 + 重复模式 + 至少一个结构性 framework。
比较分析 两个对象分别读取实体文件,再用同一比较维度输出。
预测推演 读取当前结构、重复模式、playbooks/scenario_planning_2028.md 与不确定性规范。
归因分析 读取叙事文件、媒体文件、primitives/frameworks/disinformation_attribution.md 与 playbooks/narrative_attribution_protocol.md。

三、近期热点与稳定知识联读

当问题使用“今天、最近、当前、最新、这几天”等表达:

  1. 先按 INDEX.md 和 routing 读取稳定知识。
  2. 再读 live/_MANIFEST.md 和对应日期文件。
  3. 只抽取与问题相关的热点事件。
  4. 输出时分三层:
    • 稳定知识背景
    • 近期事件事实
    • 综合分析推论

不要把 live/ 中的单日材料直接写入长期判断;若需要更新稳定知识,应走 knowledge_generate/maintenance/knowledge_update_pipeline.py 生成备份、补丁和应用说明。