Keep income statistics columns readable with grouped rows

Reviewed-on: #29

apps/docs/scripts/auth-cli.ts

@@ -182,10 +182,10 @@ async function main() {
   assert.equal(researchResponse.status, 200, "authenticated research API");
   assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
   const research = await researchResponse.json();
-  assert.equal(research.companies.length, 1023);
+  assert.equal(research.companies.length, 1029);
   assert.equal(research.categories.length, 11);
-  assert.equal(research.evidence.length, 1259);
-  assert.equal(research.observations.length, 189);
+  assert.equal(research.evidence.length, 1412);
+  assert.equal(research.observations.length, 192);
   assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
   const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
   assert.equal(researchPage.status, 200);

apps/docs/src/components/AICompanyResearch.tsx

@@ -7,9 +7,9 @@ import {
 
 const pageSize = 12;
 const evidencePageSize = 30;
-const revenueLabels = { self: "公司披露，待核口径", estimate: "仅第三方估算", platform: "仅支付平台记录", unknown: "暂无可用收入数字" };
+const revenueLabels = { self: "企业披露，待核口径", estimate: "仅第三方估算", platform: "仅支付平台记录", unknown: "暂无可用收入数字" };
 const useLabels: Record<string, string> = {
-  platform: "支付平台记录", signal: "公司披露信号", estimate: "第三方估算", historical: "历史里程碑",
+  platform: "支付平台记录", signal: "企业披露信号", estimate: "第三方估算", historical: "历史里程碑",
   "historical-estimate": "其他时点估算", excluded: "排除收入比较", scale: "团队规模", adoption: "采用规模",
   funding: "融资", technical: "第三方技术评测", crosscheck: "同一里程碑的其他资料",
 };
@@ -138,7 +138,7 @@ export default function AICompanyResearch() {
           <label>资料深度<select value={depth} onChange={(e) => { setDepth(e.target.value); setPage(0); }}><option value="">全部资料</option><option value="case">原有个案研究</option><option value="profile">目录基础资料</option></select></label>
           <label>记录团队规模<select value={teamBand} onChange={(e) => { setTeamBand(e.target.value); setPage(0); }}><option value="">全部规模</option><option value="small">1—5 人</option><option value="medium">6—20 人</option><option value="large">21—50 人</option><option value="xl">至少 51 人</option><option value="unknown">未披露或分组不确定</option></select></label>
           <label>技术验证证据<select value={technicalLevel} onChange={(e) => { setTechnicalLevel(e.target.value); setPage(0); }}><option value="">全部验证层级</option>{Object.entries(technicalReviewLabels).map(([value, label]) => <option key={value} value={value}>{label}</option>)}</select></label>
-          <label>收入资料<select value={income} onChange={(e) => { setIncome(e.target.value); setPage(0); }}><option value="">全部状态</option><option value="self">找到公司披露</option><option value="estimate">仅第三方估算</option><option value="platform">仅支付平台记录</option><option value="unknown">暂无可用数字</option></select></label>
+          <label>收入资料<select value={income} onChange={(e) => { setIncome(e.target.value); setPage(0); }}><option value="">全部状态</option><option value="self">找到企业披露</option><option value="estimate">仅第三方估算</option><option value="platform">仅支付平台记录</option><option value="unknown">暂无可用数字</option></select></label>
         </div>
         <p className="research-muted">技术验证层级记录我们查到了什么，不是能力强弱评分。技术专项评审与业务分类复核分别记录。</p>
         <div className="research-result-count" role="status">{filtered.length} 条匹配记录<button onClick={() => { setCategory(""); setQuery(""); setCohort(""); setIncome(""); setDepth(""); setTeamBand(""); setTechnicalLevel(""); setPage(0); }}>清除筛选</button></div>
@@ -154,14 +154,14 @@ export default function AICompanyResearch() {
       </>}
       {tab === "revenue" && <>
         <IncomeDistribution data={data} onSelect={setSelected} />
-        <h3>公司披露与估算的历史里程碑</h3>
-        <p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号，多为异时点历史里程碑，ARR 与年化收入口径仍待核对，暂不计算其同期领域均值。币种未确认的记录仅显示原值，不绘制美元长度条。上面的平台MRR统计与这一组分开。</p>
+        <h3>企业披露与估算的历史里程碑</h3>
+        <p className="research-notice">这一组包含 {disclosedCompanies} 家公司的披露或估算信号；企业披露含公司或交易当事方公开材料，披露主体与审计状态见证据。多为异时点历史里程碑，期间收入不直接年化，ARR 与年化收入口径仍待核对，暂不计算其同期领域均值。币种未确认的记录仅显示原值，不绘制美元长度条。上面的平台MRR统计与这一组分开。</p>
         <div className="research-revenue-chart" aria-label="不同时间的公开收入里程碑，线性长度，非同行排名">{observed.map((o) => <div key={o.id}>
           <div><button onClick={() => setSelected(o.company)}>{o.name}</button><strong>{o.bound !== "=" && o.bound}{money(o.value, o.unit)}</strong></div>
           {o.unit === "USD" && <span className="research-bar" data-estimate={o.selection === "estimate" || undefined} aria-hidden="true"><i style={{width: `${o.value / Math.max(1, ...observed.filter((v) => v.unit === "USD").map((v) => v.value)) * 100}%`}} /></span>}
           <small>{o.kind} · {useLabels[o.selection]} · {o.timing}</small>
         </div>)}</div>
-        <div className="research-table-wrap"><table><caption>当前研究数据中的收入可得性，目录项未逐一检索；未建立同期、同龄、同口径比较组</caption><thead><tr><th>业务分类</th><th>公司披露数</th><th>仅估算数</th><th>仅平台数</th><th>暂无可用数字</th><th>同期均值 / 离散度</th></tr></thead><tbody>{summaries.map((c) => <tr key={c.id}><td><button onClick={() => chooseCategory(c.id)}>{c.name}</button></td><td>{c.self}</td><td>{c.estimate}</td><td>{c.platform}</td><td>{c.unknown}</td><td>条件不足</td></tr>)}</tbody></table></div>
+        <div className="research-table-wrap"><table><caption>当前研究数据中的收入可得性，目录项未逐一检索；未建立同期、同龄、同口径比较组</caption><thead><tr><th>业务分类</th><th>企业披露数</th><th>仅估算数</th><th>仅平台数</th><th>暂无可用数字</th><th>同期均值 / 离散度</th></tr></thead><tbody>{summaries.map((c) => <tr key={c.id}><td><button onClick={() => chooseCategory(c.id)}>{c.name}</button></td><td>{c.self}</td><td>{c.estimate}</td><td>{c.platform}</td><td>{c.unknown}</td><td>条件不足</td></tr>)}</tbody></table></div>
         <p className="research-muted">离散度用于筛选值得核查的异常，还需排除公司年龄、口径和披露偏差；不能据此认定财务造假。</p>
       </>}
       {tab === "sources" && <><p className="research-muted">来源链接保留原始位置。相同 URL 的记录可能属于同一披露，不能按记录数计算独立证据数量。</p><ul className="research-evidence-list">{data.evidence.slice(sourcePage * evidencePageSize, (sourcePage + 1) * evidencePageSize).map((e) => <Evidence key={e.id} item={e} />)}</ul>{data.evidence.length > evidencePageSize && <nav className="research-pagination" aria-label="原始证据分页"><button disabled={sourcePage === 0} onClick={() => setSourcePage((n) => n - 1)}>上一页</button><span>{sourcePage + 1} / {Math.ceil(data.evidence.length / evidencePageSize)}</span><button disabled={(sourcePage + 1) * evidencePageSize >= data.evidence.length} onClick={() => setSourcePage((n) => n + 1)}>下一页</button></nav>}</>}

apps/docs/src/components/IncomeDistribution.tsx

@@ -75,7 +75,7 @@ export default function IncomeDistribution({ data, onSelect }: {
         </svg></div>
         <figcaption>圆点：产品观测　竖线：样本均值　菱形：样本中位数。业务类别标题下各行按支付平台{splitModels && "及收费与交付模式"}分别统计；n为该组产品数。点击点或下表产品名可看原始证据。</figcaption>
       </figure>
-      <div className="research-table-wrap"><table><caption>{metric}样本统计；每行是类别下的一个统计组，CV使用样本标准差</caption><thead><tr><th scope="col">业务类别</th><th scope="col">支付平台 / 收费模式</th><th scope="col">n</th><th scope="col">均值</th><th scope="col">中位数</th><th scope="col">均值/中位数</th><th scope="col">CV</th><th scope="col">去除最大值后的均值 / 下降幅度</th><th scope="col">产品与限制</th></tr></thead>{categoryGroups.map(({ category, rows }) => <tbody key={category}>{rows.map((group, index) => <tr key={group.key}>
+      <div className="research-table-wrap"><table className="income-statistics"><caption>{metric}样本统计；每行是类别下的一个统计组，CV使用样本标准差</caption><thead><tr><th scope="col">业务类别</th><th scope="col">支付平台 / 收费模式</th><th scope="col">n</th><th scope="col">均值</th><th scope="col">中位数</th><th scope="col">均值/中位数</th><th scope="col">CV</th><th scope="col">去除最大值后的均值 / 下降幅度</th><th scope="col">产品与限制</th></tr></thead>{categoryGroups.map(({ category, rows }) => <tbody key={category}>{rows.map((group, index) => <tr key={group.key}>
         {index === 0 && <th scope="rowgroup" rowSpan={rows.length}>{categories.get(category)}<small>{rows.length}个统计组</small></th>}
         <td>{group.provider}<small>{group.model}</small></td><td>{group.stats.n}</td><td>{usd(group.stats.mean)}</td><td>{usd(group.stats.median)}</td><td>{group.stats.meanMedianRatio?.toFixed(2) ?? "—"}</td><td>{group.stats.cv?.toFixed(2) ?? "—"}</td><td>{usd(group.stats.meanWithoutLargest)}<small>{percent(group.stats.largestRemovalDrop)}</small></td>
         <td>{group.points.map((point) => <span key={point.company.id}><button className="research-company-name" onClick={() => onSelect(point.company.id)}>{point.company.name}</button>{" "}</span>)}<small>{group.stats.n < 3 ? "样本少于3，不能据此判断领域典型收入。" : "自选的小样本，须结合产品年龄、成本与留存评估。"}</small></td>

apps/docs/src/styles/globals.css

@@ -1473,6 +1473,13 @@ svg { flex-shrink: 0; }
 
 .research-distribution { margin: 24px 0 38px; }
 .research-distribution figure { margin: 20px 0; }
+.ai-research .income-statistics { min-width: 1200px; }
+/* Row-spanning category headings shift cell indexes between rows. */
+.ai-research .income-statistics td { min-width: 0; }
+.ai-research .income-statistics th[scope="rowgroup"] { min-width: 150px; white-space: nowrap; }
+.ai-research .income-statistics th[scope="rowgroup"] small { display: block; margin-top: 5px; }
+.ai-research .income-statistics td:not(:last-child) { white-space: nowrap; }
+.ai-research .income-statistics td:last-child { min-width: 220px; }
 .income-distribution-chart { display: block; width: 100%; min-width: 900px; height: auto; }
 .income-distribution-chart [role="button"] { cursor: pointer; outline: none; }
 .income-distribution-chart [role="button"]:focus circle:last-child { stroke: #b17725; stroke-width: 3; }

apps/docs/tests/research.test.ts

@@ -23,9 +23,9 @@ test("research revisions share the authentication database and preserve replay l
     for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
     assert.equal(consumeCode(config, "invalid"), "limited");
     const initial = readResearchSnapshot();
-    assert.equal(initial.companies.length, 1023);
-    assert.equal(initial.evidence.length, 1259);
-    assert.equal(initial.observations.length, 189);
+    assert.equal(initial.companies.length, 1029);
+    assert.equal(initial.evidence.length, 1412);
+    assert.equal(initial.observations.length, 192);
     assert.deepEqual(initial.candidateBatches, seed.candidateBatches, "candidate gaps persist in the same database metadata");
     assert.deepEqual(initial.directoryRechecks, seed.directoryRechecks, "follow-up classifications persist without rewriting the discovery audit");
     assert.deepEqual(readResearchSnapshot(), initial, "reopening does not duplicate records");
@@ -64,9 +64,9 @@ test("research validation rejects broken evidence and unsafe source links", () =
 
 test("reviews link explicit companies without turning global or excluded cases into companies", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 60);
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 9);
-  assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 29);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 74);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 10);
+  assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 37);
   const review = snapshot.reviews.find((r) => r.id === "R4")!;
   assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
   assert.deepEqual(reviewCompanyIds(snapshot, snapshot.reviews.find((r) => r.id === "CN-R-PSI")!), []);
@@ -85,11 +85,11 @@ test("reviews link explicit companies without turning global or excluded cases i
 test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
   const snapshot = seed as ResearchSnapshot;
   const summary = categorySummary(snapshot);
-  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1023);
-  assert.equal(summary.reduce((n, c) => n + c.self, 0), 26);
-  assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 1);
+  assert.equal(summary.reduce((n, c) => n + c.count, 0), 1029);
+  assert.equal(summary.reduce((n, c) => n + c.self, 0), 28);
+  assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
   assert.equal(summary.reduce((n, c) => n + c.platform, 0), 16);
-  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 980);
+  assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 983);
   assert.equal(snapshot.companies.find((c) => c.name === "Rork")?.revenueStatus, "unknown");
   assert.equal(snapshot.companies.find((c) => c.name === "Result")?.revenueStatus, "unknown");
   assert.ok(snapshot.observations.filter((o) => o.selection === "signal").every((o) => o.scope === "公司整体"));
@@ -97,8 +97,8 @@ test("disclosure counts exclude client income, biographies, targets and duplicat
 
 test("technical reviews keep accessible materials separate from tested capabilities", () => {
   const snapshot = structuredClone(seed) as ResearchSnapshot;
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 16);
-  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 6);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 28);
+  assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 7);
   assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
   assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
   assert.match(snapshot.companies.find((c) => c.id === "AI051")!.technicalReview!.testScope!, /Sep 2026/);
@@ -307,7 +307,7 @@ test("unreconciled directory financials remain source reviews instead of income
   assert.ok(review.evidenceIds.includes("PH-TANA-DR"));
   assert.equal(reviewCompanyIds(snapshot, review).length, 0);
   assert.ok(!snapshot.observations.some((o) => o.evidence === "PH-TANA-DR"));
-  assert.equal(snapshot.candidateBatches!.flatMap((b) => b.records).filter((r) => r.status === "pending-year").length, 8);
+  assert.equal(snapshot.candidateBatches!.flatMap((b) => b.records).filter((r) => r.status === "pending-year").length, 10);
 });
 
 test("product pivots and founder histories do not become new company years or current revenue", () => {

content/research/ai-companies.sources.json

@@ -1,5 +1,5 @@
 {
-  "version": "2026-10-30-19",
+  "version": "2026-10-30-29",
   "scopeConfirmedAt": "2026-10-30",
   "acceptance": "以确认的公开来源清单为边界，逐条核对并标明缺项。",
   "provenance": "S01—S12恢复自已提交用户的《AI公司研究_来源与分类模板》来源清单；S13—S16单列后续已使用的补充证据渠道，不将使用次数当作全量覆盖。",
@@ -15,7 +15,7 @@
       ],
       "initialAccess": "官网目录可访问",
       "boundary": "已读取八个2025—2026批次镜像候选池1428条，再核YC官方页面；不声称覆盖全部YC历年或未公开公司。",
-      "nextCheck": "当前快照三条原待分类经官网方向补证归类；继续复核规则初分、具体产品与财务缺项，不把领域粗分类当独立能力或收入验证。",
+      "nextCheck": "原新增目录中22条深化为个案并保留来源；当前基础项175条主营分类人工复核。继续核其余资料与财务缺项，估算、卖家收益展示和数据供给方估价不当公司ARR。",
       "limitation": "批次不等于成立年；不代表全部公司"
     },
     {
@@ -28,8 +28,8 @@
         "techcrunch.com"
       ],
       "initialAccess": "AI栏目可读取",
-      "boundary": "栏目首页选择的3条公司线索已追溯原始资料：Wabi据公开名录2025年份、Thrive Holdings据公司主页2025自述关联公司，DreamHQ成立年仍待核。Thrive控股改造与收购/有机收入边界单列；非首页全部条目或两年档案，公开分类接口与RSS普通HTTP请求返回403。 已补读2025年度档案入口、AI第二页，并从2025企业竞赛报道定向核5条：复用1条、范围外1条、待核3条；不是完整32项名单或两年全量。",
-      "nextCheck": "沿已验证可读的普通2025档案及AI分页继续补台账；记录未读分页，补DreamHQ、Billow、Cashew Research和Zinnia成立与主体依据，区分竞赛年、批次、产品和公司成立年。",
+      "boundary": "2026首页定向3项已登记，另从AI第3—4页登记5项：3项关联公司、1项范围外、1项待核；不等全部卡片核验。另已读2025年度档案入口与AI第二页，并完整登记一篇2025企业竞赛名单32项：复用1项、范围外29项、待核2项；每项均尝试原始链接，未知与不可读保留。单篇32项不等全部200参赛者、全部分页或两年全量；RSS/API普通请求受限。 另从AI第5—6页定向4项：2项原始资料归范围外，2项原始成立/年份待核；不是全部卡片、参赛者或档案。",
+      "nextCheck": "继续核本篇2项的成立、主体及AI主营，优先解决Billow批次与发现年份时序、Sponstar原始年份冲突；既有业务的法律沿革及不可读项仍留缺；沿普通2025档案和AI分页扩展其余来源台账，区分参赛年、批次与公司成立年。 继续核Laplace原始年份及Eka精确注册主体；Recursive的2025/2026年份冲突保留。 继续核Honeyjar主字段与转载的年份差异、Blueprints原始可读资料与旧建筑业务主体；不把包价、演示金额或建设项目价值当ARR。",
       "limitation": "需追溯原始披露，部分文章受访问限制",
       "accessRecheckedAt": "2026-10-30"
     },
@@ -44,7 +44,7 @@
         "app.dealroom.co"
       ],
       "initialAccess": "官网可读取",
-      "boundary": "已读Tana与Wabi公开公司档案：前者财务字段不一致留缺，后者2025成立字段与官方业务关联入表；尚未取得两年成立筛选结果集，两个个案不等于目录全量。",
+      "boundary": "已读Tana、Wabi及Laplace公开公司档案：Tana财务字段不一致留缺，Wabi2025字段与官方业务关联入表，Laplace未取得成立字段而保留候选；尚未取得两年成立筛选结果集，三个个案不等目录全量。",
       "nextCheck": "确认公开可取得的两年成立筛选清单；逐项追溯财务原始凭证及字段口径，受权限限制保留缺项。",
       "limitation": "完整档案需权限；概览及财务表不能未经勾稽直接导入ARR",
       "accessRecheckedAt": "2026-10-30"
@@ -214,15 +214,16 @@
       "name": "36氪",
       "url": "https://www.36kr.com/",
       "role": "reporting",
-      "status": "access-limited",
+      "status": "targeted",
       "hosts": [
         "www.36kr.com",
-        "36kr.com"
+        "36kr.com",
+        "eu.36kr.com"
       ],
       "initialAccess": "安全检测，内容未核验",
-      "boundary": "2026-10-30仍返回安全检测页面，未把首页作为已读文章。",
-      "nextCheck": "使用可公开读取的具体文章或其他原始来源；不绕过访问保护。",
-      "limitation": "暂不作为已读取内容证据",
+      "boundary": "此前首页安全检测仍保留；本轮4项定向检索及相关段落补查，3项据政府/公司/交易当事方资料关联、1项按原始登记归范围外。清析检索与直达正文不一致未确认关联，其他文章为平台发布/授权转载，不代表两年全量。",
+      "nextCheck": "墨甲已由交易当事方原始公告补足2025成立及历史期间收入，母公司项目沿革和当前财务仍待核；继续补清析发现文章关联及未读正文，建两年公开文章台账，不绕过访问保护。",
+      "limitation": "仅核具体相关段落，检索和直达差异、转载与原始披露分别记录。",
       "accessRecheckedAt": "2026-10-30"
     },
     {
@@ -285,9 +286,11 @@
       "url": null,
       "role": "supplement",
       "status": "targeted",
-      "hosts": [],
+      "hosts": [
+        "getlatka.com"
+      ],
       "initialAccess": "见具体证据访问记录",
-      "boundary": "未归入上述来源的公开材料按原始证据链接逐条保留；不视为新增已批准的完整候选池。",
+      "boundary": "未归入上述来源的公开材料按原始证据链接逐条保留；不视为新增已批准的完整候选池。 本轮读取GetLatka单页历史年收入估算，方法底表未取得，不视为新增完整候选池。",
       "nextCheck": "逐项核来源归属、可靠性及可读正文，不能将搜索摘要当全文。",
       "limitation": "来源可读不等于声明已独立验证。"
     }

content/research/ai-income-analysis.json

@@ -1,5 +1,5 @@
 {
-  "sourceVersion": "2026-10-30-archives-1",
+  "sourceVersion": "2026-10-30-tc-p56-1",
   "asOf": "2026-10-30",
   "metric": "platform-mrr-usd",
   "sampleUnit": "product-or-business",

scripts/audit-ai-research.py

@@ -191,8 +191,8 @@ def render():
         f"| 其他目录基础项 | {depth-reviewed} | 规则初分或资料不足，继续待复核 |",
         f"| 有团队数字 | {sum(c['team'] is not None for c in companies)} | 多为自报Team Size或Employees，时点与口径不统一 |",
         f"| 专项技术证据记录 | {len(companies)-technical['unreviewed']} | 其中{technical['description']}条自述、{technical['public-artifact']}条公开材料、{technical['independent-test']}条第三方评测 |",
-        f"| 公司披露收入线索 | {income['self']} | 含历史、下界、币种不明及产品业务声明，不等于可比ARR |",
-        f"| 仅平台收入线索 | {income['platform']} | 同时有公司披露者计入上一行，不重复计数 |",
+        f"| 企业披露收入线索 | {income['self']} | 含公司或交易当事方披露、历史、下界及币种不明，不等于可比ARR |",
+        f"| 仅平台收入线索 | {income['platform']} | 同时有企业披露者计入上一行，不重复计数 |",
         f"| 仅第三方估算 | {income['estimate']} | 不与直接披露混合 |",
         f"| 暂无可用收入数字 | {income['unknown']} | 包含尚未逐家搜索的目录项，不代表没有收入 |", '',
         '## 业务分类与数据入口', '',