Staging specs, codebases, and dedicated whitepapers
Browse files- LLM_CAPSULE_WHITEPAPER.md +13 -6
LLM_CAPSULE_WHITEPAPER.md
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## Logits-Driven Range Coding and XOR-FEC LoRa Edge Transport
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### Watermark: `ip zymatica.space | astronautshe.com | devsone.com`
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---
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## 1. Abstract
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### 2.1 Logits-Driven Range Coding (LLD-AC)
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The LLD-AC range coder compresses sequences by partitioning a 32-bit integer range $[0, 2^{32})$ based on probabilities derived dynamically from the language model's logit distributions. For each coordinate radical $c$, the encoder calculates:
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$$P(c) =
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The coding range is updated recursively:
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$$L_{k+1} = L_k + \lfloor R_k \cdot C(c-1)
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$$R_{k+1} = \lfloor R_k \cdot P(c)
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where $L$ is the lower bound, $R$ is the current range, and $C$ is the cumulative probability distribution. Because the model's logits predict semantic continuations accurately, the entropy collapses, allowing messages to occupy a tiny physical footprint.
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A logical XOR parity packet $P$ is computed across all data blocks:
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$$P[j] =
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If any single data packet $D_m$ is lost in transit due to RF interference, the receiver reconstructs it:
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$$D_m = P \oplus
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eq m} D_k$$
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This heals the `.LLM` capsule in-place without requesting retransmissions.
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---
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## 5. Licensing & Copyright
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© 2026 Zymatica.space / Devs One / astronautshe.com. All rights reserved.
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## Logits-Driven Range Coding and XOR-FEC LoRa Edge Transport
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### Watermark: `ip zymatica.space | astronautshe.com | devsone.com`
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<p align="center">
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<img src="Logo.jpg" width="45%" />
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<img src="language_u_logo.jpg" width="45%" />
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</p>
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---
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## 1. Abstract
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### 2.1 Logits-Driven Range Coding (LLD-AC)
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The LLD-AC range coder compresses sequences by partitioning a 32-bit integer range $[0, 2^{32})$ based on probabilities derived dynamically from the language model's logit distributions. For each coordinate radical $c$, the encoder calculates:
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$$P(c) = \text{softmax}(\mathbf{z})_c$$
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The coding range is updated recursively:
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$$L_{k+1} = L_k + \lfloor R_k \cdot C(c-1) \rfloor$$
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$$R_{k+1} = \lfloor R_k \cdot P(c) \rfloor$$
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where $L$ is the lower bound, $R$ is the current range, and $C$ is the cumulative probability distribution. Because the model's logits predict semantic continuations accurately, the entropy collapses, allowing messages to occupy a tiny physical footprint.
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A logical XOR parity packet $P$ is computed across all data blocks:
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$$P[j] = \bigoplus_{k=0}^{N-2} D_k[j], \quad \forall j \in [0, 252)$$
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If any single data packet $D_m$ is lost in transit due to RF interference, the receiver reconstructs it:
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$$D_m = P \oplus \bigoplus_{k \neq m} D_k$$
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This heals the `.LLM` capsule in-place without requesting retransmissions.
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---
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## 5. Licensing & Copyright
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© 2026 Zymatica.space / Devs One / astronautshe.com. All rights reserved.
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---
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zymatica.space | astronautshe.com | Devs One | We Are TheAiCollective.art All Rights Reserved 2026©
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