# tiger3807861189/glm-5.3-flash-j-space-capability-realization-report architecture

> Architecture diagram of the GitHub repository tiger3807861189/glm-5.3-flash-j-space-capability-realization-report, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-09-28). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/tiger3807861189/glm-5.3-flash-j-space-capability-realization-report
- Repository: https://github.com/tiger3807861189/glm-5.3-flash-j-space-capability-realization-report

## Overview

J-Space is a model-agnostic inference-time reasoning Skill. Its documented workflow is: a user invokes the Skill, the entry gate selects a lightweight or deeper operating pass, and selectively loaded mechanisms support the task; for long-running work, an optional controller records durable state. The supplied tree lists only repository-level files, while the README describes internal paths and capabilities. Accordingly, internal components use only those documented paths, and unspecified module/reference contents and wiring are omitted.

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_skill["Skill runtime"]
  node_entry["Skill entry gate"]
  node_loader["Selective loading"]
  node_modules["Reasoning modules"]
  node_references["Supporting references"]
end

subgraph group_reasoning["Reasoning mechanisms"]
  node_workspace["Managed workspace"]
  node_broadcast["Broadcast hub"]
  node_dense["Dense Track"]
  node_bridge["Bridge reasoning"]
  node_metacognition["Metacognitive control"]
  node_empirical["Empirical verification"]
  node_agency["Agency and echo"]
end

subgraph group_state["Task state"]
  node_controller["State controller"]
  node_ledger[("Task ledger")]
end

node_user(("User or host"))
node_result["Task response"]

node_user -->|"invokes"| node_entry
node_entry -->|"selects pass"| node_loader
node_loader -->|"loads selectively"| node_modules
node_loader -->|"loads selectively"| node_references
node_modules -->|"manage representations"| node_workspace
node_modules -->|"may apply"| node_broadcast
node_modules -->|"may apply"| node_dense
node_modules -->|"may apply"| node_bridge
node_modules -->|"may apply"| node_metacognition
node_modules -->|"may apply"| node_empirical
node_modules -->|"may apply"| node_agency
node_modules -->|"supports response"| node_result
node_entry -.->|"loop state"| node_controller
node_controller -.->|"writes and reads"| node_ledger

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_entry,node_loader,node_modules,node_references,node_user toneBlue
class node_workspace,node_broadcast,node_dense,node_bridge,node_metacognition,node_empirical,node_agency toneAmber
class node_controller,node_ledger toneMint
class node_result toneRose
```

## Components

### Skill runtime

- **Skill entry gate**
- **Selective loading**
- **Reasoning modules**
- **Supporting references**

### Reasoning mechanisms

- **Managed workspace**
- **Broadcast hub**
- **Dense Track**
- **Bridge reasoning**
- **Metacognitive control**
- **Empirical verification**
- **Agency and echo**

### Task state

- **State controller**
- **Task ledger**

### Other components

- **User or host**
- **Task response**

## Connections

- User or host → Skill entry gate: invokes
- Skill entry gate → Selective loading: selects pass
- Selective loading → Reasoning modules: loads selectively
- Selective loading → Supporting references: loads selectively
- Reasoning modules → Managed workspace: manage representations
- Reasoning modules → Broadcast hub: may apply
- Reasoning modules → Dense Track: may apply
- Reasoning modules → Bridge reasoning: may apply
- Reasoning modules → Metacognitive control: may apply
- Reasoning modules → Empirical verification: may apply
- Reasoning modules → Agency and echo: may apply
- Reasoning modules → Task response: supports response
- Skill entry gate → State controller: loop state
- State controller → Task ledger: writes and reads