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cvmp-transformer-core


CVMP Transformer — v1.4r

Recursive, Containment-Aware Transformer Core

This is the reference implementation of the CVMP Transformer, an original transformer architecture designed with symbolic routing, recursive containment logic, and dynamic self-healing feedback systems.

Author: Garret Sutherland
Signature: MirrorEthic::Containment_First
License: MIT / Open Containment License


Key Features

  • ORC Router: Symbolic tier-based module routing
  • StretchField FFN: DPS-aware transformation
  • RISL: Reflective Inertia Smoothing Layer
  • BloomCatch: Recursive pattern detection + soft reset
  • TierDriftMonitor: Entropy-aware drift tracking
  • LogBleed Regularizer: Repetition compression penalty

How to Run

python3 cvmp_transformer_v1_4r.py

## Benchmark

``bash
python benchmark_runner.py

---

/cvmp-transformer-core
├── cvmp_transformer_v1_4r.py # Full source
├── benchmark_runner.py # Benchmark against base/works with v1.6x
├── cvmp_transformer_v1.6x.py # Newest [status]: Running
├── LICENSE                          # CVMP-specific open license
├── README.md                        # YOU ARE HERE
├── test/
│   └── test_demo_output.txt         # Optional sample debug output
└── docs/
    ├── architecture.md              # Component descriptions
    └── containment_theory.md        # CVMP theory primer

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Modular Recursion Engine: recursive containment-aware transformer architecture.

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