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README.md

@@ -39,11 +39,17 @@ This repository contains components from multiple origins. Licenses are assigned
 
 ### Proprietary Components — All Rights Reserved, zymatica.space
 The following are the exclusive intellectual property of **zymatica.space** and are **All Rights Reserved**. No part may be reproduced, distributed, reverse-engineered, modified, or used in any form without explicit written permission:
-*   **Language-U framework** — the compression taxonomy, semantic decomposition theory, and Shannon Bypass methodology.
-*   **Genesis Protocol** — the multi-level procedural model transmission and reconstruction architecture.
-*   **ProceduralSeed format (`.LLM` / `.genesis`)** — the binary seed file format, layer encoding schema, and weights projection indexing.
-*   **Chirp packetization scheme** — the 78-chirp / 255-byte LoRA packet layout, XOR-FEC error correction, and Huffman encoding.
-*   **SVD/DCT compression pipeline** — weights reduction and reconstruction algorithms.
+*   **Language-U Framework:** The compression taxonomy, semantic decomposition theory, Shannon Bypass mathematical framework, and entropy decomposition equations.
+*   **Cuneiform-U Semantic Hypercube System:** The 6-dimensional hypercube mapping along orthogonal axes (Domain, Subdomain, Operation, Modality, Depth, Polarity) and coordinate radical representation schemas ($R_C$, $R_F$, $R_A$).
+*   **Genesis Protocol:** The multi-level procedural model transmission, sharded weights reconstruction, and dynamic layers streaming execution architecture.
+*   **ProceduralSeed File Format (`.LLM` / `.genesis`):** The custom binary seed format, layer encoding schemas, coordinate-packing matrices, and weights projection indexing.
+*   **Chirp Packetization & FEC Scheme:** The LoRA packet layout wrappers (including 78-chirp and 28-chirp physical packetization formats), Qualia Seed configuration (0xE0), Huffman facts coding mappings, and XOR-FEC (Forward Error Correction) recovery stream algorithms.
+*   **SVD/DCT Compression & Reconstructor Pipeline:** The weights reduction algorithms, singular value decomposition (SVD) projection targets, discrete cosine transform (DCT) spectral compression, and grow_weight / shrink_weight reconstruction implementations.
+*   **LLM-Logits-Driven Range Coding (LLD-AC):** The active logits-driven probability range coding and decoding mechanisms, dynamic entropy priors, and collapse signal scaling.
+*   **Embedding-Driven Weight Projection (E-PAUP / 1-PAUP):** The mathematical projection of target weight deltas/manifolds onto base-model shared word embedding matrices.
+*   **Tokenizer Prefix-Suffix Varint Differential Coding:** The lossless tokenizer serialization storing tokens by ID order using variable-length prefix sharing indexes and suffix bytes.
+*   **Multi-Language Runtimes & Ports:** Low-overhead execution runtimes, off-line tokenizers, and edge-optimized memory management bindings (including C++, Rust, Go, Python, Swift, Java, and TypeScript implementations).
+*   **SFT Healing & Adaptive Cognitive Alignment:** The LoRA PEFT receiver-side healing loops, multi-task SFT alignment recipes, loss balancing weights, and token-based on-device reconstruction correction scripts (including decode_teleport.py).
 
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