papers: fix LaTeX/ref/typo errors from swarm review (6 papers)

Auto-fixes from the paper accuracy swarm: unambiguous build-breakers, broken
\ref/\cite/\input targets, and prose typos. Substantive accuracy findings
(dates, contradictory numbers, LP numbering) reported separately for review.

hanzo-4-0-launch/hanzo-4-0-launch.tex

@@ -129,7 +129,7 @@ Persian-diaspora precompiles. Hanzo is the focused triumvirate where
 every chain is the financial rail; everything non-financial is
 serviced by Lux primary natively.
 
-Hanzo 4.0 also serves as the **Rust canonical node** of the family:
+Hanzo 4.0 also serves as the \textbf{Rust canonical node} of the family:
 \texttt{\textasciitilde/work/hanzo/cli} (Rust) and the
 \texttt{hanzo-libs} workspace under \texttt{\textasciitilde/work/hanzo/node}
 are the reference Rust implementations the other networks integrate

hanzo-digital-securities-integration/hanzo-digital-securities-integration.tex

@@ -37,7 +37,7 @@ capabilities from scratch, ArcaLabs integrates Hanzo's existing platform
 services to provide identity management, secret management, API routing,
 and data persistence. We detail the full architecture: investor
 onboarding via Simplici KYC integrated through Hanzo IAM, trade execution
-through the the regulated ATS with Hanzo Gateway routing, MPC custody with
+through the regulated ATS with Hanzo Gateway routing, MPC custody with
 keys managed by Hanzo KMS, and reporting pipelines built on Hanzo Base.
 This integration demonstrates the composability of the Hanzo platform for
 regulated financial applications.

hanzo-digital-securities-integration/sections/04-trade-execution-via-the-regulated-ats.tex

@@ -24,7 +24,7 @@ ATS (Alternative Trading System), a SEC-registered trading venue.
 \subsection{Gateway Configuration}
 
 Hanzo Gateway handles the routing between ArcaLabs services and the
-the regulated ATS:
+regulated ATS:
 
 \begin{itemize}[leftmargin=1.4em]
     \item \textbf{Rate limiting}: Per-investor and per-org request limits

hanzo-iam-platform.tex

@@ -196,6 +196,7 @@ RBAC check & 0.05 & 0.1 \\
 \end{table}
 
 \section{Security}
+\label{sec:security}
 
 \paragraph{Credential Storage.} All passwords are hashed with Argon2id (time=3, memory=64MB, parallelism=4). Per-tenant salts are derived from a master key stored in Hanzo KMS, preventing rainbow table attacks even if the database is compromised.
 

hanzo-network-whitepaper.tex

@@ -93,12 +93,12 @@ For a base model with conditional \(p_\theta(y\mid x)\) and a set of experiences
 Here \(\phi_k\) are distilled from group-relative semantic advantage; weights \(\alpha_k\) are learned by introspective calibration without gradient updates to \(\theta\).
 
 \subsection{Distributed Aggregation}
-Hanzo Network aggregates \emph{priors, not gradients}. Let node priors be \(\{E_i\}\). We publish hashes and quality scores; the chain computes a byzantine-robust aggregate \(\tilde E = \operatorname{median}\_q\{E_i\}\) under a fixed schema (token bins / embedding centroids). Conflicting contributions resolve by stake-weighted quorum plus quality caps.
+Hanzo Network aggregates \emph{priors, not gradients}. Let node priors be \(\{E_i\}\). We publish hashes and quality scores; the chain computes a byzantine-robust aggregate \(\tilde E = \operatorname{median}_q\{E_i\}\) under a fixed schema (token bins / embedding centroids). Conflicting contributions resolve by stake-weighted quorum plus quality caps.
 
 \section{1-Bit Semantic Compression}\label{sec:bitdelta}
 Inspired by BitDelta, we store only the \emph{signs} of per-bucket deltas plus per-matrix scales. For an experience matrix \(\Delta \in \mathbb R^{n\times m}\),
 \begin{equation}
- \widehat{\Delta} = \alpha\,\operatorname{Sign}(\Delta),\quad \alpha = \tfrac{1}{nm}\sum\limits\_{ij} |\Delta\_{ij}|.
+ \widehat{\Delta} = \alpha\,\operatorname{Sign}(\Delta),\quad \alpha = \tfrac{1}{nm}\sum\limits_{ij} |\Delta_{ij}|.
 \end{equation}
 Scales are distilled by matching logits to a teacher rollout. We observe \(\approx 29.5\times\) storage savings with negligible loss in downstream utility, enabling multi-tenant caching and rapid hot-swaps of personalizations.
 
@@ -170,7 +170,7 @@ interface IHMM {
 \begin{algorithmic}[1]
 \State \textbf{input:} query set \(\mathcal D\), group size \(G\), base model \(p_\theta\), current prior bank \(E\)
 \For{\(x\in\mathcal D\)}
-  \State Generate group rollouts \(\{y^{(g)}\}\_{g=1}^G\) with PoE decoding using current \(E\)
+  \State Generate group rollouts \(\{y^{(g)}\}_{g=1}^G\) with PoE decoding using current \(E\)
   \State Score with reward model / tools to get \(\{r^{(g)}\}\)
   \State Extract semantic advantage text \(A\) via LLM introspection over the group
   \State Distill \(A\) into token/embedding buckets to produce \(\Delta E\)

hanzo-operative/sections/08-evaluation.tex

@@ -86,7 +86,7 @@ The fused pipeline achieves 92.9\% F1, significantly outperforming any individua
 \centering
 \caption{Per-step latency breakdown (ms)}
 \label{tab:latency}
-\begin{tabular}{@{}lrrrr@{}}
+\begin{tabular}{@{}lrrr@{}}
 \toprule
 \textbf{Component} & \textbf{p50} & \textbf{p95} & \textbf{p99} \\
 \midrule