docs(hf): add 34_Z_WORMHOLE_Latent_Transfer/WHITEPAPER.md matching whitepaper standard
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34_Z_WORMHOLE_Latent_Transfer/WHITEPAPER.md
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# Invention Class 34: Z-WORMHOLE (Experimental Cross-Architecture Latent Projection Bridge)
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## Abstract
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Modern multi-agent AI ecosystems suffer from the **Natural Language Bottleneck**: when heterogeneous models (e.g. Qwen-3.5, Gemma-2, SmolLM) collaborate, inter-agent communication typically requires serializing activations into text tokens.
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**Z-WORMHOLE** explores an experimental continuous projection bridge between heterogeneous model activation spaces through a shared 8D Riemannian manifold intermediate.
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---
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## Mathematical Architecture
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### 1. Dual-Stage Procrustes Projection
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Given source activation $h_A \in \mathbb{R}^{d_A}$:
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$$z = h_A \cdot \mathbf{W}_{\text{down}} \quad \text{where } \mathbf{W}_{\text{down}} \in \mathbb{R}^{d_A \times (8 + K)}$$
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The first 8 coordinates represent invariant Language-U semantic axes:
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$$S_i = 15.0 \cdot \sigma(z_i) \quad \text{for } i \in \{0, \dots, 7\}$$
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while $\mathcal{H} = z_{8..8+K}$ represents the spectral harmonic residual.
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### 2. Direct Target Injection
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The target model expands the invariant capsule:
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$$h_B = \tilde{z} \cdot \mathbf{W}_{\text{up}} \quad \text{where } \mathbf{W}_{\text{up}} \in \mathbb{R}^{(8 + K) \times d_B}$$
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where $\tilde{z}_i = \text{logit}(S_i / 15.0)$ for $i < 8$.
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---
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## Supported SOTA Target Pairs
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* **Qwen-3.5-0.8B ($d=896$) $\longleftrightarrow$ Gemma-2-2B ($d=2304$)**
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* **Qwen-3.5-4B ($d=2048$) $\longleftrightarrow$ Gemma-2-9B ($d=3584$)**
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* **SmolLM2-135M ($d=576$) $\longleftrightarrow$ Qwen-3.5-0.8B ($d=896$)**
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---
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## 📜 License & Upstream Developer Attributions
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- **Primary IP & Specification License:** Governed by the **[ZYMATICA COMMERCIAL & NOVEL-HOLDER COVENANT LICENSE (Version 2.0)](https://zymatica.space)** (LicenseRef-Zymatica-Covenant-2.0).
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- **Upstream Open-Source Acknowledgments:** Base neural model architectures, tokenizers, mathematical libraries, and cryptographic primitives derived from or interoperable with third-party open-source projects (including Alibaba Qwen, Google Gemma, Hugging Face Transformers/Tokenizers, Arkworks zkSNARKs, PyTorch, and ONNX Runtime) remain respectfully attributed to their original creators and are governed by their respective upstream licenses (Apache-2.0, MIT, BSD-3) under Section 3 of the Covenant License.
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