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TriadicFrameworks Module Dependency Graph

This graph shows how modules relate to each other across the TriadicFrameworks ecosystem. It helps contributors understand conceptual flow, operator reuse, and metadata alignment.


1. High-Level Graph#

Core_Concepts
    │
    ├── Gravity_Foundations
    │       │
    │       ├── Drift_Taxonomy
    │       │       ├── d_Capture
    │       │       ├── d_Classify
    │       │       ├── d_Operators
    │       │       ├── d_Examples
    │       │       └── d_Paper
    │       │
    │       └── FFF_Gravity
    │
    ├── RTT_Operators
    │       └── Operator_Families
    │
    └── Module_Graph
            └── modules_group.json

2. Drift Taxonomy Internal Graph#

Drift_Taxonomy
    │
    ├── d_Capture.md
    │       └── Defines drift types
    │
    ├── d_Classify.md
    │       └── Uses drift types to classify papers
    │
    ├── d_Operators.md
    │       └── Provides algebraic corrections for each drift
    │
    ├── d_Examples.md
    │       └── Applies corrections to representative works
    │
    └── d_Paper.md
            └── Assembles the unified meta-paper

3. Cross-Module Dependencies#

Depends On#

  • Gravity_Foundations (conceptual grounding)
  • Operator_Families (operator patterns)
  • Module_Graph (metadata consistency)

Provides#

  • Drift classification system
  • Operator correction system
  • Publication-ready meta-paper
  • Templates for future drift modules

4. Metadata Flow#

module.json
    ├── roles → maps files to conceptual functions
    ├── analyzer_layer → defines operator/drift/regime sets
    ├── files → anchors directory structure
    ├── ai → enables AI discovery and navigation
    └── citation → anchors publication identity

5. Usage#

This graph helps contributors:

  • understand how Drift Taxonomy fits into the broader ecosystem
  • identify where new modules should connect
  • ensure metadata consistency
  • maintain conceptual coherence