feat(monitoring): match citations by canonical link and scope summary by brand/keyword/platform/date
Replace the domain+title fuzzy alias scoring with a canonical candidate-key index built from published-link aliases — only exact matches now resolve to a SaaS source, eliminating false positives across articles sharing a host (e.g. m.163.com vs www.163.com). Surface the summary scoping that already existed on loadCitationRanking / loadCitedArticles by accepting brand_id, keyword_id, ai_platform_id and business_date on CitationSummary, plumbing them through the handler and admin tracking view. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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@@ -432,7 +432,7 @@ const enUS = {
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backToQuestions: "Back to questions",
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citationRanking: "Citation Ranking",
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citationRankingTitle: "Citation Ranking",
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citationRankingHint: "Attribute SaaS-published content by registrable domain across model citation sources.",
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citationRankingHint: "Attribute SaaS-published content by published-link identity across model citation sources.",
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citationWindow7: "Last 7 days",
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citationWindow30: "Last 30 days",
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citationWindowLabel: "Last {days} days",
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@@ -433,7 +433,7 @@ const zhCN = {
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backToQuestions: "返回问题列表",
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citationRanking: "Citation Ranking",
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citationRankingTitle: "引用排行",
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citationRankingHint: "按主体域名归因 SaaS 发文在模型引用来源中的出现次数与占比。",
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citationRankingHint: "按发布外链主体归因 SaaS 发文在模型引用来源中的出现次数与占比。",
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citationWindow7: "近 7 天",
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citationWindow30: "近 30 天",
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citationWindowLabel: "近 {days} 天",
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