feat: add AttnRes gradient scale lab

src/pages/k3/index.astro

@@ -2,6 +2,7 @@
 import BaseLayout from "@/layouts/BaseLayout.astro";
 import ArchitectureExplorer from "@/components/ArchitectureExplorer.astro";
 import K3ArtifactLab from "@/components/K3ArtifactLab.astro";
+import K3AttnResGradientLab from "@/components/K3AttnResGradientLab.astro";
 import K3AttnResTraceLab from "@/components/K3AttnResTraceLab.astro";
 import K3ReportLab from "@/components/K3ReportLab.astro";
 import { k3FigureAtlas, k3Ledgers, k3PaperChain, k3ReportMap } from "@/data/k3";
@@ -38,7 +39,8 @@ const toc = [
   ["28", "lab", "八联交互实验"],
   ["29", "artifacts", "开放权重工件审计"],
   ["30", "attnres-reduced", "AttnRes 缩小机制实验"],
-  ["31", "audit", "21 张图表审计"],
+  ["31", "attnres-gradient", "梯度定义与深度扩展"],
+  ["32", "audit", "21 张图表审计"],
   ["↳", "papers", "100 节点阅读链"],
 ];
 
@@ -107,13 +109,13 @@ const paperGroups = [
 
 <BaseLayout
   title="Kimi K3 技术报告完整深读：架构、训练、RL、系统与评测"
-  description="用三十二张问题账、二十一张图表审计、八个机制实验、四个开放工件视图、五个 AttnRes 独立实验视图与一百个一手阅读节点，逐节读懂 Kimi K3。"
+  description="用三十二张问题账、二十一张图表审计、八个机制实验、四个开放工件视图、两轮十个 AttnRes 独立实验视图与一百个一手阅读节点，逐节读懂 Kimi K3。"
   section="k3"
 >
   <header class="page-hero k3-hero">
     <div class="page-hero-inner">
       <div>
-        <p class="eyebrow"><span>ANCHOR REPORT / ROUND 04</span> KIMI K3 · REPORT → ARTIFACTS → INDEPENDENT PROBE</p>
+        <p class="eyebrow"><span>ANCHOR REPORT / ROUND 05</span> KIMI K3 · REPORT → ARTIFACTS → INDEPENDENT PROBE</p>
         <h1>不把报告压成摘要<br />把每个因果环节<br />重新展开</h1>
         <p class="lead">
           K3 同时扩展序列、深度、宽度、视觉与 Agent 轨迹。真正值得读的不是 2.8T 这个最大数字，
@@ -123,11 +125,11 @@ const paperGroups = [
       <dl class="page-facts">
         <div><dt>QUESTIONS</dt><dd>32 张问题账</dd></div>
         <div><dt>REPORT</dt><dd>16 Figures · 5 Tables</dd></div>
-        <div><dt>LABS</dt><dd>8 + 4 + 5 个交互视图</dd></div>
+        <div><dt>LABS</dt><dd>8 + 4 + 5 + 5 个交互视图</dd></div>
         <div><dt>READING</dt><dd>100 个一手 / 官方节点</dd></div>
         <div><dt>MODEL</dt><dd>2.78T total / 104.2B active</dd></div>
         <div><dt>ARTIFACTS</dt><dd>96 shards · 497,220 tensors</dd></div>
-        <div><dt>STATUS</dt><dd>K3 四轮 · AttnRes 实验</dd></div>
+        <div><dt>STATUS</dt><dd>K3 五轮 · 梯度定义闭环</dd></div>
       </dl>
     </div>
   </header>
@@ -892,12 +894,36 @@ const paperGroups = [
           <a class="button primary" href="https://git.k1412.top/wuyang/llm-atlas/src/branch/main/research/K3_ATTNRES_REDUCED_AUDIT.md">阅读完整研究审计</a>
           <a class="button" href="https://git.k1412.top/wuyang/llm-atlas/src/branch/main/experiments/k3/attnres">复跑公开实验代码</a>
           <a class="button" href="https://arxiv.org/abs/2603.15031">Attention Residuals 原论文</a>
-          <a class="button" href="https://github.com/MoonshotAI/Attention-Residuals">官方实现</a>
+          <a class="button" href="https://github.com/MoonshotAI/Attention-Residuals">官方论文工件</a>
+        </div>
+      </section>
+
+      <section class="article-section" id="attnres-gradient">
+        <p class="eyebrow"><span>31</span> GRADIENT DEFINITION × DEPTH SCALE</p>
+        <h2>“论文说梯度更均匀”，和上一轮参数梯度反结果，测的是同一件事吗？</h2>
+        <p class="lede">
+          第五轮先审计 Attention Residuals 官方论文与仓库：Figure 5(c) 没有公开 gradient tensor、
+          norm、reduction、diagnostic batch、AMP / clipping 时点或统计代码。本站因此冻结一个可复现的
+          post-MLP output activation-gradient 定义，把深度扩到 16 / 32 blocks、预算扩到 8,000 steps，
+          再用三 seed 检查“首尾平衡”和“全层离散度”是否真的同方向。
+        </p>
+        <div class="artifact-callout">
+          <article><span>F / FROZEN</span><b>12 × 8,000 steps</b><p>786,432,000 formal target bytes；两深度、两结构、三 seed。</p></article>
+          <article><span>X / OBSERVED</span><b>first/last 6 / 6 改善</b><p>depth-16 平均 61.0%；depth-32 平均 72.0%。</p></article>
+          <article class="warning"><span>X / COUNTEREVIDENCE</span><b>CV 6 / 6 恶化</b><p>局部尖峰让 depth-16 / 32 平均相对恶化 10.3% / 60.0%。</p></article>
+          <article><span>R / REPLAY</span><b>model + optimizer exact</b><p>指定 32-layer Block 格从零重训 8,000 steps，冻结字段逐项一致。</p></article>
+        </div>
+        <K3AttnResGradientLab />
+        <div class="hero-actions">
+          <a class="button primary" href="https://git.k1412.top/wuyang/llm-atlas/src/branch/main/research/K3_ATTNRES_GRADIENT_SCALE_AUDIT.md">阅读完整结果审计</a>
+          <a class="button" href="https://git.k1412.top/wuyang/llm-atlas/src/branch/main/research/K3_ATTNRES_GRADIENT_DEFINITION_AUDIT.md">核对论文定义边界</a>
+          <a class="button" href="https://git.k1412.top/wuyang/llm-atlas/src/branch/main/experiments/k3/attnres_gradient">复跑 12 格实验</a>
+          <a class="button" href="https://github.com/MoonshotAI/Attention-Residuals">官方一手工件</a>
         </div>
       </section>
 
       <section class="article-section" id="audit">
-        <p class="eyebrow"><span>31</span> FIGURE & TABLE AUDIT</p>
+        <p class="eyebrow"><span>32</span> FIGURE & TABLE AUDIT</p>
         <h2>Figure 1–16、Table 1–5：每张图究竟支持什么，不能支持什么</h2>
         <div class="figure-atlas">
           {k3FigureAtlas.map(([id, report, title, contract]) => (