From be54120218b5f68954e3fe739c29d46897e63312 Mon Sep 17 00:00:00 2001
From: DaZuo0122 <76245335+DaZuo0122@users.noreply.github.com>
Date: Mon, 20 Apr 2026 23:41:43 +0800
Subject: [PATCH] Refactor: deleted misleading end-to-end description

---
 LaTeX2e+Proceedings+Templates+download/main.tex | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/LaTeX2e+Proceedings+Templates+download/main.tex b/LaTeX2e+Proceedings+Templates+download/main.tex
index 6affde9..2d59a61 100644
--- a/LaTeX2e+Proceedings+Templates+download/main.tex
+++ b/LaTeX2e+Proceedings+Templates+download/main.tex
@@ -167,7 +167,7 @@ This conditioning choice is motivated by the fact that many discrete ICS states
 \mathcal{L}_{\text{disc}}(\psi) = \mathbb{E}_{k} \left[ \frac{1}{|\mathcal{M}|} \sum_{(j,t) \in \mathcal{M}} \mathrm{CE}\bigl( h_{\psi}(y_k, k, \hat{\bm{S}}, \hat{\bm{X}})_{j,t},\; y^{(j)}_{0,t} \bigr) \right],
 \label{eq:discrete_loss}
 \end{equation}
-where $\mathrm{CE}(\cdot,\cdot)$ is cross-entropy. At sampling time, we initialize all discrete tokens as $\texttt{[MASK]}$ and iteratively unmask them using the learned conditionals, ensuring that every output token lies in its legal vocabulary by construction. This discrete branch is a key differentiator of our pipeline: unlike typical continuous-only diffusion augmentation in ICS, we integrate masked diffusion as a first-class mechanism for supervisory-variable legality within the same end-to-end synthesis workflow \citep{shi2024simplified,yuan2025ctu}.
+where $\mathrm{CE}(\cdot,\cdot)$ is cross-entropy. At sampling time, we initialize all discrete tokens as $\texttt{[MASK]}$ and iteratively unmask them using the learned conditionals, ensuring that every output token lies in its legal vocabulary by construction. This discrete branch is a key differentiator of our pipeline: unlike typical continuous-only diffusion augmentation in ICS, we integrate masked diffusion as a first-class mechanism for supervisory-variable legality within the same synthesis workflow \citep{shi2024simplified,yuan2025ctu}.
 
 \subsection{Type-aware decomposition as factorization and routing layer}
 \label{sec:method-types}