\n ## System Architecture Diagram: PRP-RM and Reasoner Interaction with Knowledge Graphs ### Overview The image is a technical system architecture diagram illustrating a multi-step reasoning process involving two primary entity types: "PRP-RM" and "Reasoner." The process involves the exchange of prompts, outputs, and reasoning steps, augmented by interactions with a Knowledge Graph (KG) and a Sub-Knowledge Graph (Sub-KG). The diagram uses color-coded blocks to represent different data types and shows a cyclical or sequential flow of information. ### Components/Axes **Entities:** 1. **PRP-RM**: Depicted as a speaking human head silhouette. Appears twice (top-left and middle-left). Each instance is accompanied by a blue snowflake icon. 2. **Reasoner**: Depicted as a human head silhouette with a network/brain icon inside. Appears twice (top-right and bottom-right). Each instance is accompanied by a blue snowflake icon. 3. **KG (Knowledge Graph)**: Represented by a teal-colored network node icon (top-right). 4. **Sub-KG (Sub-Knowledge Graph)**: Represented by a smaller teal-colored network node icon (center-right). **Data Blocks (Color-Coded per Legend):** * **Prompt (Light Blue)**: Represents input data. * **Output (Yellow)**: Represents generated data. * **Token Prob (Green)**: Represents token probability data. * **Temp Chat (Checkered Blue/White)**: Represents temporary chat or intermediate data. **Legend (Bottom-Left):** * Light Blue Rectangle: "Prompt" * Yellow Rectangle: "Output" * Green Rectangle: "Token Prob" * Checkered Blue/White Rectangle: "Temp Chat" ### Detailed Analysis The diagram shows a flow involving four main data blocks and two knowledge graph components. **1. Top-Left Block (Associated with first PRP-RM):** * **Position:** Top-left quadrant. * **Structure:** A rounded rectangle divided into three sections. * Top (Prompt - Blue): Contains two sub-cells labeled `P` and `R_p`. * Bottom (Output - Yellow): Contains one cell labeled `R'_p`. * **Connections:** * An arrow points from the `KG` icon to the `R_p` cell in the Prompt section. * An arrow originates from the `R'_p` Output cell and points to the next block (Top-Right). **2. Top-Right Block (Associated with first Reasoner):** * **Position:** Top-right quadrant. * **Structure:** A rounded rectangle divided into two horizontal sections. * Top (Prompt - Blue): Contains two sub-cells labeled `P` and `R'_p`. * Bottom (Output - Yellow): Contains one cell labeled `S₁`. * **Connections:** * Receives input from the Top-Left Block's `R'_p` Output. * An arrow originates from the `S₁` Output cell and points to the next block (Center-Left). **3. Center-Left Block (Associated with second PRP-RM):** * **Position:** Center-left, below the first PRP-RM. * **Structure:** A larger, complex rounded rectangle divided into four horizontal sections. * **Section 1 (Prompt - Blue):** Divided into two sub-cells labeled `S₁` and `R₁`. * **Section 2 (Output - Yellow):** Contains one cell labeled `R'₁`. * **Section 3 (Temp Chat - Checkered):** Divided into two sub-cells labeled `I` and `I_E`. * **Section 4 (Token Prob - Green):** Divided into two sub-cells labeled `Score` and `End`. * **Connections:** * Receives input from the Top-Right Block's `S₁` Output. * An arrow points from the `Sub-KG` icon to the `R₁` cell in the Prompt section. * An arrow originates from the `R'₁` Output cell and points to the next block (Bottom-Right). **4. Bottom-Right Block (Associated with second Reasoner):** * **Position:** Bottom-right quadrant. * **Structure:** A rounded rectangle divided into two horizontal sections. * Top (Prompt - Blue): Contains one cell labeled `R'₁`. * Bottom (Output - Yellow): Contains one cell labeled `S₂`. * **Connections:** * Receives input from the Center-Left Block's `R'₁` Output. **Flow Summary:** The process appears to follow this path: 1. **PRP-RM (1)** generates `R'_p` using a prompt `P` and information `R_p` from the main **KG**. 2. **Reasoner (1)** takes `P` and `R'_p` to produce a reasoning step `S₁`. 3. **PRP-RM (2)** takes `S₁` and a new reasoning component `R₁` (informed by a **Sub-KG**) to produce `R'₁`. This block also generates temporary chat data (`I`, `I_E`) and token probability scores (`Score`, `End`). 4. **Reasoner (2)** takes `R'₁` to produce the next reasoning step `S₂`. ### Key Observations 1. **Cyclical/Iterative Nature:** The output of one component (`R'_p`, `S₁`, `R'₁`) becomes the prompt for the next, suggesting an iterative reasoning or refinement loop. 2. **Knowledge Graph Integration:** The main KG informs the initial reasoning (`R_p`), while a more specific Sub-KG informs a later stage (`R₁`), indicating a hierarchical or focused knowledge retrieval process. 3. **Snowflake Icons:** The blue snowflake icons next to both PRP-RM and Reasoner entities are consistent. In technical diagrams, this often symbolizes a "frozen" or non-trainable (static) component, suggesting these are pre-trained or fixed models. 4. **Complex Middle Block:** The Center-Left PRP-RM block is the most complex, containing not only Prompt/Output but also Temp Chat and Token Prob sections. This suggests this stage involves evaluation, scoring, and potentially interactive or intermediate steps. 5. **Symbol Progression:** The mathematical notation shows a progression: `R_p` -> `R'_p` -> `S₁` -> `R₁` -> `R'₁` -> `S₂`. The prime symbol (') likely denotes a processed or updated version of a variable. ### Interpretation This diagram models a sophisticated, multi-stage reasoning system that combines large language models (the "PRP-RM" and "Reasoner") with structured knowledge from graphs. The process is not a single forward pass but an interactive dialogue between components. * **What it demonstrates:** The system likely aims to solve complex problems by breaking them down. The PRP-RM acts as a bridge between raw prompts/knowledge and the Reasoner, which performs core logical deduction. The inclusion of `Score` and `End` tokens in the middle stage implies a mechanism for evaluating the quality of a reasoning path and deciding when to terminate the process. * **Relationships:** The PRP-RM and Reasoner have a symbiotic, turn-taking relationship. The KG provides external factual grounding, preventing the models from relying solely on parametric knowledge. The Sub-KG suggests the system can dynamically focus on relevant knowledge subsets. * **Notable Anomalies/Patterns:** The most significant pattern is the transformation of data types. Information starts as a prompt (`P`) and knowledge (`R_p`), is transformed into an output (`R'_p`), then becomes a reasoning step (`S₁`), which is further refined (`R₁`, `R'₁`), and finally yields a subsequent step (`S₂`). This mirrors a chain-of-thought or tree-of-thought reasoning process, formalized into a system architecture. The "Temp Chat" section is particularly intriguing, as it may represent an internal dialogue or scratchpad used by the model during complex reasoning.