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zeekay 1ecc25e9cf papers: consolidate Photon/Wave/Nova/Nebula/Ray/Field protocol stubs into lux-consensus-engines
The seven engine specifications (lux-{photon,wave,nova,nebula,prism,ray,field}-protocol)
were fragmented short notes documenting layers of the same Quasar consensus stack.
This commit merges them into a single canonical reference, lux-consensus-engines.tex,
that uses one preamble, one set of theorems, one bibliography, and one composition
chapter showing how the engines layer into the LP-020 finality pipeline.

The seven originals are reduced to single-page breadcrumb stubs pointing at the
consolidated paper; their sections/ content is preserved on disk for git history.

- new: lux-consensus-engines/ (50 pages, 646KB PDF, ~2900 lines tex)
- breadcrumbs: each original keeps cover + title + stub paragraph naming its chapter
- composition: chapter 9 records the layered contract Photon < Wave < Nova < ...
- bibliography: consolidated from the seven original thebibliography blocks
2026-05-13 01:02:25 -07:00

27 lines
1.4 KiB
TeX

\section{Introduction}
\label{sec:ray-introduction}
Existing metastable consensus protocols use fixed parameters $(k, \alpha, \beta)$ tuned
for worst-case adversarial conditions. This means that even in benign network conditions
(no Byzantine validators, low latency), transactions must wait for the same number of
confirmation rounds as under attack. This paper introduces the Ray protocol, which
adapts its finality threshold in real-time based on observed network behavior.
The key insight is that the \emph{rate} at which confidence accumulates carries
information about the adversarial environment. Rapid, unanimous convergence suggests
benign conditions where fewer confirmation rounds suffice. Slow, contested convergence
suggests adversarial interference requiring more rounds.
\paragraph{Contributions.}
\begin{enumerate}[nosep]
\item The Ray adaptive finality protocol with confidence velocity metric (\S\ref{sec:ray-protocol}).
\item An online Bayesian adversary estimator derived from query response distributions (\S\ref{sec:ray-estimator}).
\item A proof that adaptive thresholding preserves $2^{-128}$ safety (\S\ref{sec:ray-safety}).
\item A 40\% latency reduction compared to static protocols in benign conditions (\S\ref{sec:ray-evaluation}).
\end{enumerate}
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%% 2. SYSTEM MODEL
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