\section{Amplification of local endpoint maps}\label{sec:amplification} This section proves the site form of~\cite[Proposition~4.3]{OAINU}: a heavy tail of the critical cluster size yields local rules whose endpoint kernels are dispersive much faster than their success probability decays or their cap grows. Throughout, $G$ is simple, infinite, connected, locally finite and quasi-transitive with $h_V(G)>0$, $\Gamma=\Aut(G)$ is unimodular, and percolation has parameter $p_c$, with $0\alpha$ and $\eps>0$ so that, with $\tau=\frac12+\eps$, $\beta+\tau<1$, as in~\cite[Section~4]{OAINU}. Goodness (Definition~\ref{def:good}) always uses this $\tau$, and enters only through the inequality $\dpiv(B)\le KM^\tau$, in Lemma~\ref{lem:coding}. \subsection{Local endpoint maps}\label{sec:maps} \begin{lemma}[{Selection of an orbit; site form of~\cite[Lemma~4.1]{OAINU}}]\label{lem:scales} There are a vertex orbit $O$, a constant $c>0$ and an unbounded sequence $\cN$ of dyadic integers such that, for $n=2^j\in\cN$ and $\pi=[\Pp_{p_c}(n\le s_o<2n)]$, \begin{equation}\label{eq:scales} \begin{array}{@{}l@{\qquad}r@{}l@{\qquad}l@{}} \textup{(a)}&\pi&{}\ge n^{-\beta},&\\[2pt] \textup{(b)}&[\Pp_{p_c}(n/2\le s_o<2n)]&{}\le(1+2^\beta)\pi,&\\[2pt] \textup{(c)}&\E_{p_c}\bigl[|C_x\cap O|\1\{n\le s_x<2n\}\bigr]&{}\ge cn\pi&(x\in O),\\[2pt] \textup{(d)}&[\Pp_{p_c}(2^i\le s_o<2^{i+1})]&{}\le2^{\beta(j-i)}\pi&(0\le i\le j),\\[2pt] \textup{(e)}&\E_{p_c}[s_x^2;\ 1\le s_x<2n]&{}\le C_On^2\pi&(x\in O), \end{array} \end{equation} where~\textup{(e)} follows from~\textup{(d)}, with $C_O=4/(\sigma_O(1-2^{\beta-2}))$ and $\sigma_O$ the type weight of $O$. The orbit and the sequence can be kept fixed throughout the amplification. \end{lemma} Bounds~(a)--(c) are those of~\cite[Lemma~4.1]{OAINU}, with $s_o=0$ when $o$ is closed. Bounds~(d) and~(e) are new. The proof selects $\cN$ among the record indices $j$ of $j\mapsto2^{\beta j}\pi_j$, where $\pi_j=[\Pp_{p_c}(2^j\le s_o<2^{j+1})]$, that is, $2^{\beta i}\pi_i<2^{\beta j}\pi_j$ for all $i0$ for its success probability and \[ K(x,y)=\Pp(\text{output }y\mid\text{success at }x),\quad r=\norm K,\quad U=\log(1/u),\quad m=\log M, \quad H=\log(1/r). \] All probabilities include the auxiliary randomness, and the norm is on counting-measure $\ell^2(O)$. \end{definition} The definition is read with two conventions, which hold for every map constructed below. (i) A successful input pattern is a pattern of the read bits together with an auxiliary outcome on which the rule succeeds, and the guarantees $y\in C_x\cap O$, $s_x\le M$ and goodness hold for every configuration agreeing with the pattern on the read ball; they are properties of the pattern, since $\{s_x\le M,\ C_x\text{ good},\ y\in C_x\}$ is determined by the bits within distance $M$ of $x$. (ii) The rule is a fixed probability kernel from read-bit patterns to outcomes, realized with auxiliary uniforms whose law does not depend on $p$. Invariance makes $u$ independent of $x\in O$; $K$ has row sums one and, by Lemma~\ref{lem:MTP} restricted to $O\times O$, column sums one; so $00$ there is a local endpoint map on the orbit $O$ of Lemma~\ref{lem:scales}, with $M\ge2$ and $H>1$, such that \[ \frac{U+m}{H}<\eta. \] Moreover the maps can be chosen so that $H\to\infty$. Their radii are finite, but need not be bounded uniformly over the construction. \end{proposition} The proof follows~\cite[Section~4]{OAINU}: a starting map from a random walk with $H$ as large as desired (Lemma~\ref{lem:initial}), an amplification step built from $k$ old steps by splicing (Lemma~\ref{lem:step}), and an iteration whose parameter order makes $(U+m)/H$ decrease geometrically. The site changes are in the splicing step, Sections~\ref{sec:switching}--\ref{sec:second-moment}; the starting map, the step and the iteration are adapted in Appendix~\ref{app:amp-routine}. \begin{lemma}[{Starting map; site form of~\cite[Lemma~4.4]{OAINU}}]\label{lem:initial} For every $H_0$ there is a site local endpoint map on $O$ with $H>H_0$, with cap as large as prescribed. \end{lemma} \subsection{The experiment and the site switching procedure}\label{sec:switching} Fix an old map with parameters $(u,M,r)$, an integer $k\ge1$, and $n\in\cN$ with $kM\le n/2$. The seeds are as in~\cite[Section~4.2]{OAINU}: old-map seeds, independent continuous priorities on the edges of $G$ ordering contact lists, and a uniform $V_i\in[0,1]$ for each index $1\le i\le k$. Ties have probability zero and are rejected. For fixed $x,z\in O$, require in a distinguished site field $\omega$ that $A=C_x(\omega)$ satisfies $n\le|A|<2n$, so that $x$ is $\omega$-open. Independently, start at $z$ and take $k$ old-map steps, with new independent site fields and new seeds for each step. List a successful chain in reverse order, $y_0,y_1,\dots,y_k=z$; let $E_i$ be the field used for the step from $y_i$, with output $y_{i-1}$, and $C_i=C_{y_i}(E_i)$, which contains $y_i$ and $y_{i-1}$, has $|C_i|\le M$ and is good for cap $M$. Require $y_0\in A$. The experiment has mass $1/n$ if all this holds \emph{and all rejection tests below pass}, and zero otherwise. Start with $S=A$ and no index selected. An index is \emph{eligible} if it exceeds every index already selected. While $z\notin S$: \begin{enumerate}[label=\textup{(\arabic*)},leftmargin=2.2em] \item \emph{Selection.} Select the largest eligible $i$ with $C_i\cap\Nb[S]\ne\varnothing$. \item \emph{Piece.} In the \emph{standard case} $y_i\notin\Nb[S]$, let $Y_i$ be the component of $y_i$ in the $E_i$-open subgraph induced by $V\setminus\Nb[S]$; let $W_i$ be the set of $E_i$-open vertices of $\partial S$ adjacent to $Y_i$; and let the \emph{contact list} be the $K_i$ graph edges between $Y_i$ and $W_i$, ordered by priority. Choose the contact edge of rank $\lceil K_iV_i\rceil$, write it $\{w_i,b_i\}$ with $w_i\in W_i$ and $b_i\in Y_i$, and call $w_i$ the \emph{seam}. In the \emph{degenerate case} $y_i\in\partial S$, which is possible only for $i=k$ (Lemma~\ref{lem:splicing}), put $w_k=z$ and $Y_k=\varnothing$; no uniform is used. \item \emph{Junction rejection.} Put $R_i=N(w_i)\setminus(\Nb[S]\cup\Nb[Y_i])$, with $\Nb[\varnothing]=\varnothing$. Reject, with mass zero, unless every vertex of $R_i$ is closed in the current $\omega$. \item \emph{Exchange.} Exchange the current $\omega$ and $E_i$ bits on the mask $\mathrm{Mask}_i=\{w_i\}\cup(\Nb[Y_i]\setminus\Nb[S])$. \item Set $S\leftarrow S\cup\{w_i\}\cup Y_i$, and call $P_i=\{w_i\}\cup Y_i$ the \emph{inserted piece}. \end{enumerate} Opening a closed seam $w$ attaches every currently open component adjacent to $w$, up to $d-1$ foreign branches; this is the junction problem. Steps~(3)--(4) force the new root cluster to be exactly $S\cup P_i$: the mask makes $Y_i$ open and its outer boundary off $\Nb[S]$ closed, both from $E_i$, and the rejection set $R_i$ covers every other neighbour of $w_i$ off $\Nb[S]$, whatever its $E_i$-state. The rejection set must include $E_i$-closed neighbours of $w_i$ off $\Nb[S]\cup\Nb[Y_i]$ too, since they are outside the mask and an $\omega$-open one would attach. The set $R_i$ is not exchanged at its own step; it meets later masks only at the next seam, whose input bit the inverse restores by undoing that mask, so the inverse has no ambiguity there. \begin{lemma}[{Geometry of the site switching procedure; site form of~\cite[Lemma~4.5]{OAINU}}] \label{lem:splicing} Every step is well defined, with $K_i\ge1$ in the standard case. If the step's rejection test passes, its effect on the distinguished root cluster is exactly $S\mapsto S\cup\{w_i\}\cup Y_i$, and $w_i$ is a cut vertex of the new root cluster separating $S$ from $Y_i$. The selected indices increase. Let $i_1<\dotsj$, and $Y_{i_j}\cap\Nb[S_j]=\varnothing$. Consequently $w_{i_j}$ is the only vertex of $C'\setminus S_j$ adjacent to $S_j$, where $C'=C_x(\omega')$ is the final root cluster, so \[ S_j=\text{the component of }x\text{ in }C'\setminus\{w_{i_j}\}; \] for $j