feat: add evaluation and safety chapter

2026-07-29 09:33:59 +08:00
parent 1683e19b16
commit cfd2367e88
26 changed files with 4031 additions and 52 deletions
@@ -217,7 +217,7 @@ if (!overview.title.includes("可靠行动")) failures.push("章节标题异常"
 if (overview.sections !== 28 || overview.tocLinks !== 28) failures.push("章节/目录数量异常");
 if (overview.paperLinks !== 52) failures.push("正式论文链不是 52 个节点");
 if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
-if (overview.navLinks !== 18 || home.navLinks !== 18 || mobile.mobileLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (overview.navLinks !== 19 || home.navLinks !== 19 || mobile.mobileLinks !== 19) failures.push("全站导航未同步评测专题");
 if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在横向溢出");
 if (loop.initial.finalState !== "UNVERIFIED" || loop.directSchema.finalState !== "FAILED") failures.push("控制循环终局状态异常");
 if (!loop.directSchema.observation.includes("ERROR schema") || loop.directSchema.recovery !== "FRAGILE") failures.push("Direct/schema 故障传播异常");
@@ -228,8 +228,8 @@ if (numeric(reliability.initial.passAt) <= numeric(reliability.k2.passAt) || num
 if (reliability.nonIdempotent.sideRisk === "LOW") failures.push("非幂等写操作风险没有提升");
 if (numeric(rl.wait.utilization) >= numeric(rl.full.utilization) || numeric(rl.wait.lostWork) <= numeric(rl.full.lostWork)) failures.push("wait-all 长尾/重算方向异常");
 if (!rl.wait.takeaway.includes("wait-all") || rl.keyboardSelected !== "rl" || rl.keyboardVisible !== "rl") failures.push("长程 RL 解释或键盘导航异常");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") failures.push("首页推理服务首发入口异常");
-if (home.paperCount !== "400" || papers.total !== 400 || !papers.hasAgentFilter || papers.agentVisible < 52) failures.push("论文库 Agent 标签或论文总数异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || papers.total !== 450 || !papers.hasAgentFilter || papers.agentVisible < 52) failures.push("论文库 Agent 标签或论文总数异常");
 if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
 if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);

@@ -216,7 +216,7 @@ if (!overview.title.includes("真正与人协作")) failures.push("章节标题
 if (overview.sections !== 22 || overview.tocLinks !== 22) failures.push("章节/目录数量异常");
 if (overview.paperLinks !== 44) failures.push("正式论文链不是 44 个节点");
 if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
-if (overview.navLinks !== 18 || home.navLinks !== 18 || mobile.mobileLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (overview.navLinks !== 19 || home.navLinks !== 19 || mobile.mobileLinks !== 19) failures.push("全站导航未同步评测专题");
 if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在横向溢出");
 if (sft.initial.active !== "6 / 10" || !sft.initial.lossStates.slice(0, 4).every((value) => value === "MASKED")) failures.push("SFT response-only mask 异常");
 if (sft.unsafeAll.active !== "10 / 10" || numeric(sft.unsafeAll.nll) <= numeric(sft.initial.nll) || !sft.unsafeAll.reading.includes("错误")) failures.push("SFT 全序列/坏示范交互异常");
@@ -226,8 +226,8 @@ if (!update.steps[0].includes("Fixed preference")) failures.push("DPO 更新流
 if (!recipe.family.includes("Multi-effort") || !recipe.regime.includes("9 RL experts") || !recipe.constraints.includes("verbosity")) failures.push("K3 配方合同异常");
 if (!recipe.path.some((step) => step.includes("3 domains × 3 efforts")) || !recipe.path.some((step) => step.includes("MOPD"))) failures.push("K3 配方路径异常");
 if (recipe.keyboardSelected !== "recipe" || recipe.keyboardVisible !== "recipe") failures.push("实验 tab 键盘导航异常");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") failures.push("首页推理服务首发入口异常");
-if (home.paperCount !== "400" || papers.total !== 400 || !papers.hasAlignmentFilter || papers.alignmentVisible < 35) failures.push("论文库后训练标签或论文总数异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || papers.total !== 450 || !papers.hasAlignmentFilter || papers.alignmentVisible < 35) failures.push("论文库后训练标签或论文总数异常");
 if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
 if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);

@@ -230,15 +230,15 @@ if (transform.keyboard.selected !== "transform" || transform.keyboard.visible !=
 if (layout.articleSections !== 18 || layout.paperLinks !== 31 || layout.labTabs !== 4 || layout.views !== 4) {
  failures.push("章节、论文或实验数量异常");
 }
-if (layout.navLinks !== 18 || mobile.mobileLinks !== 18 || home.navLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (layout.navLinks !== 19 || mobile.mobileLinks !== 19 || home.navLinks !== 19) failures.push("全站导航未同步评测专题");
 if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentOverflow > 0) failures.push("页面存在横向溢出");
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible || mobile.menuOpen !== "true") failures.push("移动端菜单不可用");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") {
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") {
  failures.push("首页 Transformer 新章入口异常");
 }
-if (home.paperCount !== "400") failures.push(`首页论文总数异常：${home.paperCount}`);
-if (!papers.hasDataFilter || papers.total !== 400 || papers.visible < 25) failures.push("论文库数据标签或论文总数异常");
+if (home.paperCount !== "450") failures.push(`首页论文总数异常：${home.paperCount}`);
+if (!papers.hasDataFilter || papers.total !== 450 || papers.visible < 25) failures.push("论文库数据标签或论文总数异常");
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -0,0 +1,293 @@
+import { writeFileSync } from "node:fs";
+
+const cdpPort = process.env.CDP_PORT ?? "9227";
+const baseUrl = process.env.SITE_URL ?? "http://127.0.0.1:4327";
+const pages = await fetch(`http://127.0.0.1:${cdpPort}/json/list`).then((response) => response.json());
+const page = pages.find((entry) => entry.type === "page");
+if (!page) throw new Error(`CDP ${cdpPort} 没有可用页面`);
+
+const socket = new WebSocket(page.webSocketDebuggerUrl);
+await new Promise((resolve, reject) => {
+  socket.addEventListener("open", resolve, { once: true });
+  socket.addEventListener("error", reject, { once: true });
+});
+
+let nextId = 0;
+const pending = new Map();
+const exceptions = [];
+socket.addEventListener("message", (event) => {
+  const message = JSON.parse(event.data);
+  if (message.id && pending.has(message.id)) {
+    const { resolve, reject } = pending.get(message.id);
+    pending.delete(message.id);
+    if (message.error) reject(new Error(message.error.message));
+    else resolve(message.result);
+  }
+  if (message.method === "Runtime.exceptionThrown") {
+    exceptions.push(message.params.exceptionDetails.exception?.description ?? message.params.exceptionDetails.text);
+  }
+});
+
+const command = (method, params = {}) => new Promise((resolve, reject) => {
+  const id = ++nextId;
+  pending.set(id, { resolve, reject });
+  socket.send(JSON.stringify({ id, method, params }));
+});
+const pause = (milliseconds) => new Promise((resolve) => setTimeout(resolve, milliseconds));
+const evaluate = async (expression) => {
+  const result = await command("Runtime.evaluate", { expression, returnByValue: true, awaitPromise: true });
+  if (result.exceptionDetails) throw new Error(result.exceptionDetails.exception?.description ?? result.exceptionDetails.text);
+  return result.result.value;
+};
+const navigate = async (path) => {
+  await command("Page.navigate", { url: `${baseUrl}${path}` });
+  for (let attempt = 0; attempt < 70; attempt += 1) {
+    await pause(100);
+    if (await evaluate("document.readyState === 'complete'")) return;
+  }
+  throw new Error(`${path} 加载超时`);
+};
+const screenshot = async (path) => {
+  const result = await command("Page.captureScreenshot", { format: "png", captureBeyondViewport: false });
+  writeFileSync(path, Buffer.from(result.data, "base64"));
+};
+
+await command("Page.enable");
+await command("Runtime.enable");
+await command("Emulation.setDeviceMetricsOverride", {
+  width: 1440,
+  height: 1100,
+  deviceScaleFactor: 1,
+  mobile: false,
+});
+
+await navigate("/evaluation/");
+await screenshot("/tmp/llm-atlas-evaluation-desktop.png");
+
+const overview = await evaluate(`(() => ({
+  title: document.querySelector("h1")?.textContent.trim(),
+  sections: document.querySelectorAll(".article-section").length,
+  tocLinks: document.querySelectorAll(".side-rail a").length,
+  paperLinks: document.querySelectorAll(".paper-chain a").length,
+  ledgers: document.querySelectorAll(".eval-ledgers > article").length,
+  labTabs: document.querySelectorAll("[data-eval-tab]").length,
+  labPanels: document.querySelectorAll("[data-eval-panel]").length,
+  navLinks: document.querySelectorAll(".top-nav a").length,
+  activeNav: document.querySelector('.top-nav a[aria-current="page"]')?.textContent.trim(),
+  documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
+}))()`);
+
+const metric = await evaluate(`(() => {
+  const root = document.querySelector("[data-evaluation-lab]");
+  const read = () => ({
+    one: root.querySelector("[data-one-try]").textContent.trim(),
+    atLeast: root.querySelector("[data-at-least]").textContent.trim(),
+    all: root.querySelector("[data-all-succeed]").textContent.trim(),
+    ece: root.querySelector("[data-toy-ece]").textContent.trim(),
+    bpb: root.querySelector("[data-bpb]").textContent.trim(),
+    pplA: root.querySelector("[data-ppl-a]").textContent.trim(),
+    pplB: root.querySelector("[data-ppl-b]").textContent.trim(),
+    visible: root.querySelector("[data-eval-panel]:not([hidden])").dataset.evalPanel,
+    explain: root.querySelector("[data-metric-explain]").textContent.trim(),
+  });
+  const initial = read();
+  root.querySelector('[data-protocol-preset="search"]').click();
+  const search = read();
+  root.querySelector('[data-protocol-preset="reliable"]').click();
+  const reliable = read();
+  return { initial, search, reliable };
+})()`);
+
+const judge = await evaluate(`(() => {
+  const root = document.querySelector("[data-evaluation-lab]");
+  root.querySelector('[data-eval-tab="judge"]').click();
+  const read = () => ({
+    raw: root.querySelector("[data-raw-win]").textContent.trim(),
+    adjusted: root.querySelector("[data-adjusted-win]").textContent.trim(),
+    flip: root.querySelector("[data-order-flip]").textContent.trim(),
+    ci: root.querySelector("[data-judge-ci]").textContent.trim(),
+    explain: root.querySelector("[data-judge-explain]").textContent.trim(),
+  });
+  const initial = read();
+  const gap = root.querySelector("[data-length-gap]");
+  const bias = root.querySelector("[data-length-bias]");
+  const order = root.querySelector("[data-order]");
+  const votes = root.querySelector("[data-votes]");
+  gap.value = "100";
+  gap.dispatchEvent(new Event("input", { bubbles: true }));
+  bias.value = "40";
+  bias.dispatchEvent(new Event("input", { bubbles: true }));
+  const biased = read();
+  order.value = "randomized";
+  order.dispatchEvent(new Event("input", { bubbles: true }));
+  votes.value = "10000";
+  votes.dispatchEvent(new Event("input", { bubbles: true }));
+  const controlled = read();
+  return { initial, biased, controlled };
+})()`);
+
+const contamination = await evaluate(`(() => {
+  const root = document.querySelector("[data-evaluation-lab]");
+  root.querySelector('[data-eval-tab="contamination"]').click();
+  const read = () => ({
+    clean: root.querySelector("[data-true-clean]").textContent.trim(),
+    detected: root.querySelector("[data-detected]").textContent.trim(),
+    hidden: root.querySelector("[data-hidden-leak]").textContent.trim(),
+    fresh: root.querySelector("[data-freshness]").textContent.trim(),
+    comparable: root.querySelector("[data-comparability]").textContent.trim(),
+    explain: root.querySelector("[data-contamination-explain]").textContent.trim(),
+  });
+  const initial = read();
+  root.querySelectorAll("[data-leak]").forEach((input) => {
+    input.checked = input.dataset.leak === "semantic";
+    input.dispatchEvent(new Event("input", { bubbles: true }));
+  });
+  const ngram = root.querySelector("[data-ngram]");
+  ngram.value = "30";
+  ngram.dispatchEvent(new Event("input", { bubbles: true }));
+  const semantic = read();
+  const refresh = root.querySelector("[data-refresh]");
+  const anchor = root.querySelector("[data-anchor]");
+  refresh.value = "90";
+  refresh.dispatchEvent(new Event("input", { bubbles: true }));
+  anchor.value = "10";
+  anchor.dispatchEvent(new Event("input", { bubbles: true }));
+  const dynamic = read();
+  return { initial, semantic, dynamic };
+})()`);
+
+const system = await evaluate(`(() => {
+  const root = document.querySelector("[data-evaluation-lab]");
+  root.querySelector('[data-eval-tab="system"]').click();
+  const read = () => ({
+    model: root.querySelector("[data-model-only]").textContent.trim(),
+    success: root.querySelector("[data-system-success]").textContent.trim(),
+    cost: root.querySelector("[data-cost]").textContent.trim(),
+    unsafe: root.querySelector("[data-unsafe]").textContent.trim(),
+    overrefusal: root.querySelector("[data-overrefusal]").textContent.trim(),
+    explain: root.querySelector("[data-system-explain]").textContent.trim(),
+  });
+  const initial = read();
+  const retries = root.querySelector("[data-retries]");
+  const budget = root.querySelector("[data-budget]");
+  retries.value = "1";
+  retries.dispatchEvent(new Event("input", { bubbles: true }));
+  budget.value = "4";
+  budget.dispatchEvent(new Event("input", { bubbles: true }));
+  const cheap = read();
+  const wrapper = root.querySelector("[data-wrapper]");
+  wrapper.value = "100";
+  wrapper.dispatchEvent(new Event("input", { bubbles: true }));
+  const locked = read();
+  const firstTab = root.querySelector('[data-eval-tab="metric"]');
+  firstTab.focus();
+  firstTab.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
+  return {
+    initial,
+    cheap,
+    locked,
+    keyboardSelected: root.querySelector('[data-eval-tab][aria-selected="true"]').dataset.evalTab,
+    keyboardVisible: root.querySelector("[data-eval-panel]:not([hidden])").dataset.evalPanel,
+  };
+})()`);
+
+await evaluate(`document.querySelector("[data-evaluation-lab]").scrollIntoView({ block: "start", behavior: "instant" })`);
+await pause(180);
+await screenshot("/tmp/llm-atlas-evaluation-lab-desktop.png");
+
+await navigate("/");
+const home = await evaluate(`(() => ({
+  releaseCards: document.querySelectorAll(".release-card").length,
+  firstRelease: document.querySelector(".release-card h2").textContent.trim(),
+  firstHref: document.querySelector(".release-card").getAttribute("href"),
+  paperCount: document.querySelector(".hero-stats div:nth-child(3) b").textContent.trim(),
+  topicCount: document.querySelector(".hero-stats div:nth-child(1) b").textContent.trim(),
+  navLinks: document.querySelectorAll(".top-nav a").length,
+}))()`);
+
+await navigate("/papers/");
+const papers = await evaluate(`(() => {
+  const button = [...document.querySelectorAll("[data-filter]")].find((node) => node.textContent.trim() === "评测");
+  button?.click();
+  return {
+    total: document.querySelectorAll("[data-paper]").length,
+    visible: document.querySelectorAll("[data-paper]:not([hidden])").length,
+    hasFilter: Boolean(button),
+  };
+})()`);
+
+await command("Emulation.setDeviceMetricsOverride", {
+  width: 390,
+  height: 844,
+  deviceScaleFactor: 1,
+  mobile: true,
+});
+await navigate("/evaluation/");
+const mobile = await evaluate(`(() => {
+  const root = document.querySelector("[data-evaluation-lab]");
+  root.scrollIntoView({ block: "start", behavior: "instant" });
+  const toggle = document.querySelector("#menu-toggle");
+  toggle?.click();
+  return {
+    documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
+    menuVisible: getComputedStyle(toggle).display !== "none",
+    menuOpen: toggle.getAttribute("aria-expanded"),
+    mobileLinks: document.querySelectorAll("#mobile-nav a").length,
+    tabs: root.querySelectorAll("[data-eval-tab]").length,
+    offenders: [...document.querySelectorAll("body *")]
+      .filter((node) => !node.closest(".aggregate-example, .repair-table, .k3-protocol-table, .paper-chain"))
+      .filter((node) => node.getBoundingClientRect().right > document.documentElement.clientWidth + 1)
+      .slice(0, 12)
+      .map((node) => ({
+        tag: node.tagName,
+        className: typeof node.className === "string" ? node.className : "",
+        right: Math.round(node.getBoundingClientRect().right),
+        width: Math.round(node.getBoundingClientRect().width),
+      })),
+  };
+})()`);
+await pause(180);
+await screenshot("/tmp/llm-atlas-evaluation-mobile.png");
+
+const report = { overview, metric, judge, contamination, system, home, papers, mobile, exceptions };
+console.log(JSON.stringify(report, null, 2));
+
+const numeric = (text) => Number.parseFloat(text.replaceAll(",", ""));
+const intervalWidth = (text) => {
+  const values = text.match(/[0-9.]+/g)?.map(Number) ?? [];
+  return values.length >= 2 ? values[1] - values[0] : Number.NaN;
+};
+const failures = [];
+if (!overview.title.includes("粗体数字")) failures.push("章节标题异常");
+if (overview.sections !== 33 || overview.tocLinks !== 33) failures.push("章节 / 目录数量异常");
+if (overview.paperLinks !== 80) failures.push("正式论文链不是 80 个节点");
+if (overview.ledgers !== 22) failures.push("二十二张评测账结构异常");
+if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
+if (overview.navLinks !== 19 || home.navLinks !== 19 || mobile.mobileLinks !== 19 || overview.activeNav !== "评测安全") failures.push("全站导航未同步评测专题");
+if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在文档级横向溢出");
+if (metric.initial.visible !== "metric" || numeric(metric.initial.one) !== 80 || numeric(metric.initial.atLeast) !== 80 || numeric(metric.initial.all) !== 80) failures.push("指标实验初始值异常");
+if (numeric(metric.search.atLeast) <= 99 || numeric(metric.search.all) >= 30 || !metric.search.explain.includes("搜索")) failures.push("pass@k / pass^k 方向没有分开");
+if (Math.abs(numeric(metric.reliable.all) - 32.8) > .2) failures.push("连续五次可靠性计算异常");
+if (numeric(metric.initial.pplB) <= numeric(metric.initial.pplA) || !metric.initial.bpb.includes("bits")) failures.push("tokenizer / BPB 教学对照异常");
+if (numeric(judge.biased.raw) >= numeric(judge.biased.adjusted)) failures.push("长度偏好没有压低短回答的观察胜率");
+if (!judge.controlled.explain.includes("随机交换") || intervalWidth(judge.controlled.ci) >= intervalWidth(judge.initial.ci)) failures.push("顺序控制或票数区间异常");
+if (numeric(contamination.semantic.detected) >= 10 || numeric(contamination.semantic.hidden) <= 15 || !contamination.semantic.explain.includes("语义")) failures.push("语义污染没有暴露 n-gram 检测盲区");
+if (numeric(contamination.dynamic.fresh) <= numeric(contamination.initial.fresh) || numeric(contamination.dynamic.comparable) >= numeric(contamination.initial.comparable)) failures.push("动态刷新与可比性权衡异常");
+if (numeric(system.initial.success) <= numeric(system.initial.model) || numeric(system.initial.cost) !== 128) failures.push("Harness / 重试系统成功率或成本异常");
+if (numeric(system.cheap.success) >= numeric(system.initial.success) || numeric(system.cheap.cost) !== 4) failures.push("低预算没有降低成功率 / 成本");
+if (numeric(system.locked.unsafe) !== 0 || numeric(system.locked.overrefusal) <= numeric(system.initial.overrefusal)) failures.push("安全壳没有展现危险服从 / 过拒权衡");
+if (system.keyboardSelected !== "judge" || system.keyboardVisible !== "judge") failures.push("实验键盘 tab 导航异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || home.topicCount !== "17" || papers.total !== 450 || !papers.hasFilter || papers.visible < 80) failures.push("首页 / 论文库评测索引异常");
+if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
+if (mobile.offenders.length) failures.push(`移动端越界元素：${JSON.stringify(mobile.offenders)}`);
+if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);
+
+if (failures.length) {
+  console.error(`\nFAIL\n- ${failures.join("\n- ")}`);
+  process.exitCode = 1;
+} else {
+  console.log("\nPASS evaluation browser regression");
+}
+
+socket.close();
@@ -251,7 +251,7 @@ if (overview.sections !== 31 || overview.tocLinks !== 31) failures.push("章节/
 if (overview.paperLinks !== 62) failures.push("正式论文链不是 62 个节点");
 if (overview.ledgers !== 18) failures.push("十八本服务账结构异常");
 if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
-if (overview.navLinks !== 18 || home.navLinks !== 18 || mobile.mobileLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (overview.navLinks !== 19 || home.navLinks !== 19 || mobile.mobileLinks !== 19) failures.push("全站导航未同步评测专题");
 if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在横向溢出");
 if (!memory.initial.weight.includes("32.6") || !memory.initial.perToken.includes("128") || memory.initial.visible !== "memory") failures.push("GQA 默认显存账异常");
 if (!memory.exploded.status.includes("OOM") || !memory.exploded.fit.includes("over")) failures.push("极端 MHA 配置没有触发 OOM");
@@ -264,8 +264,8 @@ if (!fleet.k3.avoided.includes("320K") || fleet.k3.shortSlo !== "PROTECTED") fai
 if (!fleet.failed.state.includes("SECONDARY RE-PREFILL") || !fleet.failed.recompute.includes("FAILED PRIMARY")) failures.push("缓存故障没有触发原子失效后的重算");
 if (fleet.bursty.shortSlo !== "VIOLATED") failures.push("平均并发阈值没有暴露长请求突发");
 if (fleet.keyboardSelected !== "phase" || fleet.keyboardVisible !== "phase") failures.push("实验键盘 tab 导航异常");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") failures.push("首页推理服务首发入口异常");
-if (home.paperCount !== "400" || papers.total !== 400 || !papers.hasFilter || papers.visible !== 45) failures.push("论文库推理服务标签或总数异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || papers.total !== 450 || !papers.hasFilter || papers.visible !== 45) failures.push("论文库推理服务标签或总数异常");
 if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
 if (mobile.offenders.length) failures.push(`移动端越界元素：${JSON.stringify(mobile.offenders)}`);
 if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);
@@ -177,7 +177,7 @@ if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentO
 }
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible) failures.push("移动端菜单按钮未显示");
-if (home.releaseCards !== 13) failures.push(`首页新章卡数量异常：${home.releaseCards}`);
+if (home.releaseCards !== 14) failures.push(`首页新章卡数量异常：${home.releaseCards}`);
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -234,7 +234,7 @@ if (!overview.title.includes("第一类输入")) failures.push("章节标题异
 if (overview.sections !== 30 || overview.tocLinks !== 30) failures.push("章节/目录数量异常");
 if (overview.paperLinks !== 55) failures.push("正式论文链不是 55 个节点");
 if (overview.labTabs !== 4 || overview.labPanels !== 4) failures.push("四联实验结构异常");
-if (overview.navLinks !== 18 || home.navLinks !== 18 || mobile.mobileLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (overview.navLinks !== 19 || home.navLinks !== 19 || mobile.mobileLinks !== 19) failures.push("全站导航未同步评测专题");
 if (overview.documentOverflow > 1 || mobile.documentOverflow > 1) failures.push("桌面或移动端存在横向溢出");
 if (numeric(tokens.initial.patches) !== 5476 || numeric(tokens.initial.visual) !== 1369 || tokens.initial.visiblePanel !== "tokens") failures.push("视觉 Token 初始计算异常");
 if (!tokens.overloaded.status.includes("超预算") || numeric(tokens.overloaded.share) <= 100) failures.push("超大视频没有触发上下文超预算");
@@ -246,8 +246,8 @@ if (ocr.unreported.status !== "OUT OF EVIDENCE" || ocr.unreported.accuracy !== "
 if (loop.toolsStart.state !== "OPEN" || loop.toolsEnd.state !== "VERIFIED" || loop.toolsEnd.evidence !== "97%" || loop.toolsEnd.tools !== "3") failures.push("vision-in-the-loop 终局异常");
 if (loop.cotEnd.state !== "FAILED" || !loop.cotEnd.takeaway.includes("不能凭空增加")) failures.push("文字 CoT 与新观察没有分开");
 if (loop.keyboardSelected !== "connector" || loop.keyboardVisible !== "connector") failures.push("实验键盘 tab 导航异常");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") failures.push("首页推理服务首发入口异常");
-if (home.paperCount !== "400" || papers.total !== 400 || !papers.hasFilter || papers.multimodalVisible < 59) failures.push("论文库多模态标签或总数异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || papers.total !== 450 || !papers.hasFilter || papers.multimodalVisible < 59) failures.push("论文库多模态标签或总数异常");
 if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
 if (mobile.offenders.length) failures.push(`移动端越界元素：${JSON.stringify(mobile.offenders)}`);
 if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);
@@ -273,15 +273,15 @@ if (stability.keyboard.selected !== "stability" || stability.keyboard.visible !=
 if (layout.articleSections !== 19 || layout.paperLinks !== 36 || layout.labTabs !== 4 || layout.views !== 4) {
  failures.push("章节、论文或实验数量异常");
 }
-if (layout.navLinks !== 18 || mobile.mobileLinks !== 18 || home.navLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (layout.navLinks !== 19 || mobile.mobileLinks !== 19 || home.navLinks !== 19) failures.push("全站导航未同步评测专题");
 if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentOverflow > 0) failures.push("页面存在横向溢出");
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible || mobile.menuOpen !== "true") failures.push("移动端菜单不可用");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") {
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") {
  failures.push("首页 Transformer 新章入口异常");
 }
-if (home.paperCount !== "400") failures.push(`首页论文总数异常：${home.paperCount}`);
-if (!papers.hasOptimizerFilter || papers.total !== 400 || papers.visible < 8) failures.push("论文库优化器标签或论文总数异常");
+if (home.paperCount !== "450") failures.push(`首页论文总数异常：${home.paperCount}`);
+if (!papers.hasOptimizerFilter || papers.total !== 450 || papers.visible < 8) failures.push("论文库优化器标签或论文总数异常");
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -289,7 +289,7 @@ if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentO
 }
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible || mobile.menuOpen !== "true") failures.push("移动端菜单不可用");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化")) failures.push("首页推理服务新章入口异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单")) failures.push("首页评测新章入口异常");
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -269,14 +269,14 @@ if (emergence.paths.some((length) => length < 500)) failures.push("涌现多指
 if (layout.articleSections !== 16 || layout.paperLinks !== 29 || layout.labTabs !== 4 || layout.views !== 4) {
  failures.push("章节、论文或实验数量异常");
 }
-if (layout.navLinks !== 18 || mobile.mobileLinks !== 18 || home.navLinks !== 18) failures.push("全站导航未同步推理服务专题");
+if (layout.navLinks !== 19 || mobile.mobileLinks !== 19 || home.navLinks !== 19) failures.push("全站导航未同步评测专题");
 if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentOverflow > 0) failures.push("页面存在横向溢出");
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible || mobile.menuOpen !== "true") failures.push("移动端菜单不可用");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") {
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") {
  failures.push("首页 Transformer 新章入口异常");
 }
-if (home.paperCount !== "400") failures.push(`首页论文总数异常：${home.paperCount}`);
+if (home.paperCount !== "450") failures.push(`首页论文总数异常：${home.paperCount}`);
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -233,7 +233,7 @@ if (layout.articleSections !== 16 || layout.paperLinks !== 37 || layout.labTabs
 if (layout.documentOverflow > 0 || mobile.documentOverflow > 0 || home.documentOverflow > 0) failures.push("页面存在横向溢出");
 if (layout.navGap < 0) failures.push(`桌面导航碰撞：${layout.navGap}px`);
 if (!mobile.menuVisible || mobile.menuOpen !== "true") failures.push("移动端菜单不可用");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化")) failures.push("首页推理服务新章入口异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单")) failures.push("首页评测新章入口异常");
 if (exceptions.length) failures.push(`浏览器脚本异常：${exceptions.join("; ")}`);

 socket.close();
@@ -172,7 +172,7 @@ const home = await evaluate(`(() => ({
  releaseCards: document.querySelectorAll(".release-card").length,
  firstRelease: document.querySelector(".release-card h2").textContent,
  firstHref: document.querySelector(".release-card").getAttribute("href"),
-  paperCount: [...document.querySelectorAll(".hero-stats b")].map((node) => node.textContent.trim()).find((value) => value === "400"),
+  paperCount: [...document.querySelectorAll(".hero-stats b")].map((node) => node.textContent.trim()).find((value) => value === "450"),
 }))()`);

 await navigate("/papers/");
@@ -236,8 +236,8 @@ if (block.family.trim() !== "Hybrid MoE" || !block.kv.includes("3 KDA : 1 Gated
 if (!block.path.some((step) => step.includes("KDA × 3")) || !block.note.includes("AttnRes")) failures.push("K3 Block 路径异常");
 if (block.context.trim() !== "128K" || numeric(block.mha) !== 400 || numeric(block.kda) !== 1) failures.push("KV 成本缩放异常");
 if (block.keyboardSelected !== "block" || block.keyboardVisible !== "block") failures.push("实验 tab 键盘导航异常");
-if (home.releaseCards !== 13 || !home.firstRelease.includes("推理优化") || home.firstHref !== "/systems/inference/") failures.push("首页推理服务首发入口异常");
-if (home.paperCount !== "400" || papers.total !== 400 || papers.transformerVisible < 30) failures.push("论文库或首页论文数量异常");
+if (home.releaseCards !== 14 || !home.firstRelease.includes("榜单不是体检单") || home.firstHref !== "/evaluation/") failures.push("首页评测首发入口异常");
+if (home.paperCount !== "450" || papers.total !== 450 || papers.transformerVisible < 30) failures.push("论文库或首页论文数量异常");
 if (!mobile.menuVisible || mobile.menuOpen !== "true" || mobile.tabs !== 4) failures.push("移动端导航或实验异常");
 if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);