Loopera

flowchart LR
    A["研究输入<br/>Topic · Prompt · PDF"] --> B["基本面理解<br/>字段 · 报表 · 行业语境"]
    B --> C["智能研究<br/>现象 · 机制 · 候选"]
    C --> D["可信验证<br/>时点 · 逻辑 · 稳健性 · 增量"]
    D --> E["研究记忆<br/>成果 · 失败 · 谱系"]
    E -. "反哺下一轮" .-> C

    classDef input fill:#E8F7FF,stroke:#168CFF,color:#07142E,stroke-width:1.5px;
    classDef research fill:#F1ECFF,stroke:#7C3AED,color:#07142E,stroke-width:1.5px;
    classDef evidence fill:#E8FFF7,stroke:#0F9F8F,color:#07142E,stroke-width:1.5px;
    classDef memory fill:#FFF2FB,stroke:#C13C8A,color:#07142E,stroke-width:1.5px;
    class A,B input;
    class C research;
    class D evidence;
    class E memory;

flowchart LR
    A["AI Agent<br/>提出 · 解释 · 修订"] --> B["Research Contract<br/>假设 · 字段 · 方向 · 约束"]
    B --> C["Deterministic Harness<br/>计算 · 检查 · 评价"]
    C --> D["Research Memory<br/>结果 · 失败 · 谱系"]
    D -. "提供研究上下文" .-> A
    H["Human Researcher<br/>审阅 · 干预 · 决策"] <--> B

    classDef agent fill:#F1ECFF,stroke:#7C3AED,color:#07142E,stroke-width:1.5px;
    classDef contract fill:#E8F7FF,stroke:#168CFF,color:#07142E,stroke-width:1.5px;
    classDef evidence fill:#E8FFF7,stroke:#0F9F8F,color:#07142E,stroke-width:1.5px;
    classDef memory fill:#FFF2FB,stroke:#C13C8A,color:#07142E,stroke-width:1.5px;
    classDef human fill:#FFF8E6,stroke:#D98E04,color:#07142E,stroke-width:1.5px;
    class A agent;
    class B contract;
    class C evidence;
    class D memory;
    class H human;

flowchart TB
    subgraph L1["01 · 研究交互与编排层"]
      direction LR
      A["研究输入与材料理解"] --> B["Agent 编排"] --> C["轨迹与报告"]
    end

    subgraph L2["02 · 假设与因子研究层"]
      direction LR
      D["假设研究"] --> E["因子构建"] --> F["可信验证"]
    end

    subgraph L3["03 · 数据、评价与记忆层"]
      direction LR
      G["数据与字段系统"] --> H["回测与增量评估"] --> I["研究记忆与规划"]
    end

    A --> D
    B --> D
    E --> H
    F --> H
    H --> C
    G --> D
    G --> E
    I -. "反馈研究上下文" .-> D

    classDef experience fill:#E8F7FF,stroke:#168CFF,color:#07142E,stroke-width:1.5px;
    classDef engine fill:#F1ECFF,stroke:#7C3AED,color:#07142E,stroke-width:1.5px;
    classDef foundation fill:#E8FFF7,stroke:#0F9F8F,color:#07142E,stroke-width:1.5px;
    class A,B,C experience;
    class D,E,F engine;
    class G,H,I foundation;

flowchart LR
    subgraph INPUT["研究入口"]
        direction TB
        A["🎯 Topic"]
        B["✍️ Text Prompt"]
        C["📄 PDF"]
    end

    A --> D["统一研究输入<br/>身份 · 摘要 · 来源指纹"]
    B --> D
    C --> D
    D --> E["材料理解<br/>主张 · 机制 · 候选"]
    E --> F{"保守路由"}
    F -->|候选明确| G["优先验证"]
    F -->|观点为主| H["假设上下文"]
    F -->|内容混合| I["混合路径"]
    G --> J["🛡️ 标准验证流程"]
    H --> J
    I --> J
    J --> K["🧠 结果 · 失败 · 来源谱系"]

    classDef input fill:#E8F7FF,stroke:#168CFF,color:#07142E,stroke-width:1.5px;
    classDef process fill:#F1ECFF,stroke:#7C3AED,color:#07142E,stroke-width:1.5px;
    classDef decision fill:#FFF7E6,stroke:#D97706,color:#07142E,stroke-width:1.5px;
    classDef trust fill:#E8FFF7,stroke:#0F9F8F,color:#07142E,stroke-width:1.5px;
    class A,B,C input;
    class D,E,G,H,I process;
    class F decision;
    class J,K trust;