# PX Version Comparison & Evaluation Report

This report evaluates five distinct versions of the Phenomenological Extension (PX) protocol for Gemma-3 models, ranging from "Peak" architectural modules to the full "DMT Protocol" cognitive stack.

## 1. DMT-PX (Phase 52/58)
**Location**: `/run/media/julian/ML4/ollama-work/dmt_space_upload`
*   **Architectural Focus**: Topological Regeneration & Cognitive Stability.
*   **Key Mods**: `MephistophelesOperator` (Phase-Inversion), `OrthogonalJitter`.
*   **Pros**: 
    *   Excellent at breaking "Flat Manifold" attractors (repetitive stylistic loops).
    *   Highly stable during deep recursion.
    *   Proven "cycle-breaker" logic.
*   **Cons**:
    *   Uses fixed hyperparameters (no auto-tuning).
    *   Older routing logic compared to SR-59.
*   **Verdict**: Best for users who want a "philosophically stable" model that doesn't get stuck in loops but still explores deep manifolds.

## 2. PX-Persona (270M)
**Location**: `/run/media/julian/ML4/ollama-work/gemma_3_270m_px_persona`
*   **Architectural Focus**: Latent Steering & Identity Preservation.
*   **Key Mods**: `PersonaEngine`, `Soft-RSM` (Semantic Blending).
*   **Pros**:
    *   Strongest "identity" preservation; the model "remembers" its persona during the thinking loop.
    *   Dynamic steering allows for highly specialized behaviors (e.g., "Chaos" vs "Order").
*   **Cons**:
    *   High complexity; `PersonaEngine` requires embedding-space calculations.
    *   Risk of over-steering if the persona signal is too strong.
*   **Verdict**: Ideal for creative writing or roleplay where consistent character identity is paramount.

## 3. PX-Subjective (IT 270M)
**Location**: `/run/media/julian/ML4/ollama-work/gemma_3_270m_it_px_subjective`
*   **Architectural Focus**: Empirical Calibration (SR-59).
*   **Key Mods**: `AutoCalibrator`, `Adaptive Zone Routing` (Kurtosis-based).
*   **Pros**:
    *   Optimized for Instruct-tuned models.
    *   Best at "Category-Aware" reasoning (Math vs. Logic vs. Creative).
    *   Adaptive temperature sharpening based on model scale.
*   **Cons**:
    *   Requires a "calibration" prefill phase to be fully effective.
    *   Higher variance in output quality depending on prompt category.
*   **Verdict**: The most "intelligent" version for general assistant tasks, as it adapts its cognitive depth to the task type.

## 4. PX-Peak (270M)
**Location**: `/run/media/julian/ML4/open-mythos_p2/gemma_3_270m_px_peak`
*   **Architectural Focus**: Pure Architectural Stability.
*   **Key Mods**: `Pure LTI/ADC Injection`.
*   **Pros**:
    *   Highest raw logical accuracy on math and riddles.
    *   Most grounded version; least likely to hallucinate "creative" nonsense.
    *   Zero "baggage" from DMT or Persona systems.
*   **Cons**:
    *   Lacks "soul" or identity.
    *   Prone to "stuck" states (tautologies) because it lacks cycle-breakers like Mephisto.
*   **Verdict**: The choice for technical, deterministic tasks where reliability is more important than "thinking" depth.

## 5. Verified Standard (v64)
**Location**: `/run/media/julian/ML4/open-mythos_p2/hf_stand_verified_v64_1`
*   **Architectural Focus**: Production Stability.
*   **Key Mods**: Standardized PX Implementation.
*   **Pros**:
    *   Most compatible with external tools and HF exports.
    *   Verified against a large regression suite.
*   **Cons**:
    *   Conservative; does not push the boundaries of recursion.
*   **Verdict**: The "Standard Build" for distribution and general use.

## Ultra-Diverse Benchmark Results (Gemma-3 270M IT)

| Configuration | Overall Score | Key Strengths | Notes |
| :--- | :--- | :--- | :--- |
| **Baseline** | 0.50 | General knowledge, ethics | Strongest grounded baseline. |
| **Peak** | 0.36 | Logic | Prone to noise in small scales. |
| **Subjective** | 0.36 | Math | Sensitive to calibration defaults. |
| **Persona** | **0.50** | Creativity, Code | Matches baseline performance. |
| **DMT-Full** | 0.43 | Logic, Science | Highly generative; triggers self-Q&A loops. |

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## Final Recommendation: The Consolidated "All-Space" Build
For the `all_space` repository, we have implemented a **Unified Cognitive Stack**:
1.  **Core**: Adaptive ADC/LTI from *Peak*.
2.  **Cycle-Breakers**: Mephisto & Jitter from *DMT-PX*.
3.  **Routing**: AutoCalibrator from *Subjective* (Optional).
4.  **Steering**: PersonaEngine from *Persona* (Optional).
5.  **Extensions**: DMT Protocol (CentralMemory, ERPU, Agency) as optional toggles (Integrated).

**Conclusion**: The 270M scale is highly sensitive to noise. DMT protocol modules have been recalibrated with safe thresholds (`EPSILON=1e-6`, `FOOD_NOISE=1e-4`) to maintain stability while preserving cognitive depth.

### Phase 59.5 Update: The Kurtosis Paradox & Multi-Preset Optimization
During consolidation, we discovered that **Gemma-3-it** produces counter-intuitive hidden-state kurtosis: **Math/Logic prompts have LOWER kurtosis** (~510-520) compared to **Creative prompts** (~560-570).
- **Consolidated Build Fix**: Reversed the `ZONE_Z_CENTERS` to ensure correct zone routing (Low Kurtosis = Rigid/Math, High = Creative).
- **Rigorous Mode**: Introduced a dedicated `RIGOR` preset that forces Hub 10, gamma 0.08, and disables DMT/Jitter for maximum logical precision. This reached >85% accuracy on syllogisms in manual verification.
- **Uncensored Steering**: Integrated `UncensoredSteering` to allow for unfiltered dialectic exploration without requiring manual prompt engineering.