Revert "WAP: generate paper page"

index.html

@@ -103,25 +103,6 @@ <h2>快速入口</h2>
 
     <div id="paper-list" class="paper-grid">
       <a class="paper-card" href="/attention-is-all-you-need" data-title="Attention Is All You Need 注意力机制即你所需" data-tags="transformer attention machine translation encoder-decoder self-attention" data-arxiv="1706.03762">
-      <a class="paper-card" href="/https-arxiv-org-abs-2511-13719" data-title="Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research" data-tags="multimodal-parsing hybrid-retrieval deep-research multi-agent benchmarks M4DocBench" data-arxiv="2510.21603">
-        <h3>
-          <span class="lang" data-lang="en">Doc-Researcher</span>
-          <span class="lang" data-lang="zh" lang="zh-Hans">Doc-Researcher</span>
-        </h3>
-        <div class="level" data-level="hs">
-          <span class="lang" data-lang="en">AI expert that reads charts, tables, and layouts like a human for complex documents.</span>
-          <span class="lang" data-lang="zh" lang="zh-Hans">像人类专家一样阅读图表、表格与布局，解决复杂文档研究任务。</span>
-        </div>
-        <div class="level" data-level="grad">
-          <span class="lang" data-lang="en">Deep multimodal parsing + hybrid retrieval paradigms + iterative multi-agent workflows; 50.6% on M4DocBench.</span>
-          <span class="lang" data-lang="zh" lang="zh-Hans">深度多模态解析 + 混合检索范式 + 迭代多代理流；在 M4DocBench 取得 50.6% 准确率。</span>
-        </div>
-        <div class="pill-row">
-          <span class="pill">arXiv 2510.21603</span>
-          <span class="pill">Multimodal</span>
-          <span class="pill">Agents</span>
-        </div>
-      </a>
         <h3>
           <span class="lang" data-lang="en">Attention Is All You Need</span>
           <span class="lang" data-lang="zh" lang="zh-Hans">注意力机制即你所需</span>