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zeekay 6d75dc0464 the corporate name is Lux Industries Inc
Lux Partners Limited is not the entity behind this work. Every place the
old name stood — copyright lines, site footers, brand config, legal and
compliance text — now names the company that actually holds it.

lux.fund is the exception and is not renamed to match: that site belongs
to Lux Assets Management LLC, a different company, and it says so.

Two kinds of line were left for a person rather than rewritten. A dated
news item recording that Lux Partners Limited was established in the Isle
of Man is a historical fact, and renaming it would falsify the record. And
a sentence asserting that the company is domiciled in the Isle of Man is a
claim about a jurisdiction, not a name — an Inc or an LLC is not an Isle
of Man company, so swapping the name there would assert something untrue.
2026-08-28 11:17:29 -07:00

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\section{Conclusion}
\label{sec:conclusion}
Prism achieves linear throughput scaling through multi-spectrum parallel consensus,
enabling 50,000 TPS on a 1,000-node testnet. The spectral decomposition ensures
conflict locality (conflicting transactions are always processed in the same band)
while distributing independent transactions across bands for parallel processing.
The direct voting fast path further reduces latency for the common case of uncontested
transactions. Prism is the highest-level consensus engine in the Lux Quasar stack,
orchestrating Photon binary consensus, Nova DAG bursts, and Wave confidence tracking
into a unified high-throughput system.
\begin{thebibliography}{99}
\bibitem{rocket2019wave} T. Rocket et al., ``Scalable and probabilistic leaderless BFT consensus through metastability,'' 2019.
\bibitem{kelling2023photon} Z. Kelling, ``Photon protocol: Zero-latency consensus pipelining,'' Lux Industries Inc, 2023.
\bibitem{kelling2023nova} Z. Kelling, ``Nova protocol: Supernova burst consensus for high-throughput chains,'' Lux Industries Inc, 2023.
\bibitem{bagaria2019prism} V. Bagaria et al., ``Prism: Deconstructing the blockchain to approach physical limits,'' in \emph{CCS}, 2019.
\bibitem{danezis2022narwhal} G. Danezis et al., ``Narwhal and Tusk: A DAG-based mempool and efficient BFT consensus,'' in \emph{EuroSys}, 2022.
\end{thebibliography}