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papers/sections/token-economics.tex
zeekay 2773271544 feat: Hanzo papers collection — platform, blockchain, AI research
35+ papers documenting Hanzo AI platform evolution covering:
- Crowdstart cloud-native commerce (2014 era)
- Astle.js reactive SDK, Verus analytics (2015 era)
- Earle genetic marketing optimization (2016 era)
- Hanzo AI-first commerce platform (Techstars 2017)
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- Agent SDK, ML framework, search, identity NFT (2022 era)
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- Chat, Flow, Operative, Network whitepaper, ASO, HMM,
  LLM gateway, Zen model family (2025 era)

Papers describe historical work from 2014-2025.
All compiled into this repository October 2025 - March 2026.

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TeX

% Token Economics section
\section{Token Economics (\$AI)}
\subsection{Utility}
\$AI is the protocol token for staking, market fees, job settlement, and governance. \emph{Compute credits} \(\Theta\) are minted by locking \$AI at current HMM rate and burned on settlement.
\subsection{Emissions and Rewards}
Per block, distribute \(R\) \$AI: validators \(\beta R\), workers \(\gamma R\) pro-rata verified work, curators \(\delta R\) by experience quality shares, treasury \((1-\beta-\gamma-\delta)R\). A PoAI bonus applies: for job \(j\) with value \(V_j\) and verified cost \(K_j\), reward \(\rho V_j\) (\(\rho\le 0.1\)) split among parties. Slashing burns a fraction \(\sigma\) of bonds on fraud.
\subsection{Fees and Burns}
HMM fees split to LPs and treasury; a fixed fraction \(\zeta\) of market fees is burned to offset emissions. Experience submissions pay a deposit \(D\); refunds scale with measured utility.
\subsection{Default Parameters (Initial Mainnet)}
\begin{table}[h]
\centering
\begin{tabular}{lll}
\toprule
Symbol & Meaning & Default \\
\midrule
\(f_m\) & market fee & 30 bps \\
\(f_r\) & risk fee coeff. & 5--20 bps per \% inventory move \\
\(\lambda\) & curvature & 0.05 \\
\(\beta,\gamma,\delta\) & emissions split & 0.35/0.50/0.10 \\
\(\zeta\) & fee burn & 0.25 \\
\(D\) & registry bond & 25 \$AI \\
\bottomrule
\end{tabular}
\end{table}