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https://github.com/lux-apps/papers.git
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zeekayandHanzo Dev
178febad68
Every rendered "T-Chain" / "ThresholdVM" / "teleportvm" reference across the paper corpus is rewritten to the correct canonical chain by concern: threshold signing / MPC / bridge custody / key recovery -> M-Chain (MVM); FHE / encrypted compute / threshold decryption -> F-Chain (FVM); teleport / cross-chain messaging -> B-Chain (bridgevm); consensus Pulsar stays Q-Chain. Section lux-trust-kernel/03-t-chain-threshold-governance.tex renamed -> 03-f-chain-encrypted-policy.tex (with \input + xref fixes). Braided "T-Chain" sections split by concern (M vs F). Only lp-020's chain-separation rationale and the shared lux/chains/thresholdvm library path retain the name, to record the removal. All changed papers rebuilt (pdflatex, rc=0, no undefined refs). ยง09 of lux-dao-governance-framework reframed: fabricated "production deployment" metrics ($50M/$240k/$12M, survey %s, "as of Oct 2024") relabeled as illustrative design configurations with no invented replacements; reality noted (DAO treasury is a 1/1 Safe); conclusion echo + one "first production" overclaim softened. This commit also captures concurrent corpus workstreams on the same tree. Co-authored-by: Hanzo Dev <[email protected]>
59 lines
1.7 KiB
TeX
59 lines
1.7 KiB
TeX
\section{Risk Management Framework}
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\subsection{Liquidation-Resistance by Design}
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Lux Credit's risk model is designed to avoid liquidations through:
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\begin{enumerate}
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\item \textbf{Conservative LTV}: Start at 85\%, max 90\%
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\item \textbf{Yield Buffer}: 11\% APY exceeds debt growth
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\item \textbf{Dynamic Monitoring}: Real-time health factor tracking
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\item \textbf{Emergency Reserves}: 10\% protocol-owned buffer
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\item \textbf{Grace Periods}: 30-day warning before liquidation
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\end{enumerate}
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\subsection{Health Factor Calculation}
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\begin{lstlisting}[language=Solidity, basicstyle=\small\ttfamily]
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function calculateHealthFactor(
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bytes32 loanId
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) public view returns (uint256) {
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Loan memory loan = loans[loanId];
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// Current collateral value in USD
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uint256 collateralValue = getOraclePrice(loan.asset)
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* loan.collateralAmount
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/ 1e18;
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// Outstanding debt in USD
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uint256 debtValue = loan.debtAmount;
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// Accumulated yield reduces debt
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uint256 yieldGenerated = calculateYield(loanId);
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debtValue -= min(yieldGenerated, debtValue);
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// Health factor = collateral / debt
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uint256 healthFactor = (collateralValue * 1e18) / debtValue;
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// Safe if > 1.11 (90% LTV)
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return healthFactor;
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}
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\end{lstlisting}
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\subsection{Risk Tiers}
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\begin{table}[h]
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\centering
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\begin{tabular}{@{}lrrr@{}}
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\toprule
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\textbf{Health Factor} & \textbf{Status} & \textbf{Action} & \textbf{Users} \\ \midrule
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> 1.25 & Safe & None & 87\% \\
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1.15 - 1.25 & Caution & Email warning & 11\% \\
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1.05 - 1.15 & At Risk & Add collateral prompt & 2\% \\
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< 1.05 & Critical & Liquidation notice & 0\% \\ \bottomrule
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\end{tabular}
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\caption{Health factor distribution (illustrative design target)}
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\end{table}
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