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Research-First Page Creation Pipeline

page-creator-pipelinePath: /internal/reports/page-creator-pipeline/
E747Entity ID (EID)
← Back to page2 backlinksQuality: 49Updated: 2026-01-31
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
  "id": "page-creator-pipeline",
  "wikiId": "E747",
  "path": "/internal/reports/page-creator-pipeline/",
  "filePath": "internal/reports/page-creator-pipeline.mdx",
  "title": "Research-First Page Creation Pipeline",
  "quality": 49,
  "readerImportance": 10,
  "researchImportance": 16.5,
  "tacticalValue": null,
  "contentFormat": "article",
  "causalLevel": null,
  "lastUpdated": "2026-01-31",
  "dateCreated": "2026-01-31",
  "summary": "Internal experiment documenting a multi-phase LLM pipeline that enforces citation discipline, reducing table rows by 97% while increasing citation density from 0.9 to 2.3 per 100 words. Standard tier (\\$10.50) achieved same quality (78/100) as premium (\\$15), with research-first approach producing 42 citations per article across three test topics.",
  "description": "Experiment results from a multi-phase article generation pipeline that enforces citation discipline through structured research, extraction, and synthesis phases",
  "ratings": {
    "novelty": 2.5,
    "rigor": 6,
    "completeness": 8,
    "actionability": 7.5
  },
  "category": "reports",
  "subcategory": "research",
  "clusters": [
    "ai-safety"
  ],
  "metrics": {
    "wordCount": 1115,
    "tableCount": 7,
    "diagramCount": 0,
    "internalLinks": 1,
    "externalLinks": 0,
    "footnoteCount": 0,
    "bulletRatio": 0.24,
    "sectionCount": 27,
    "hasOverview": false,
    "structuralScore": 9
  },
  "suggestedQuality": 60,
  "updateFrequency": null,
  "evergreen": false,
  "wordCount": 1115,
  "unconvertedLinks": [],
  "unconvertedLinkCount": 0,
  "convertedLinkCount": 0,
  "backlinkCount": 2,
  "hallucinationRisk": {
    "level": "medium",
    "score": 60,
    "factors": [
      "no-citations",
      "few-external-sources"
    ]
  },
  "redundancy": {
    "maxSimilarity": 12,
    "similarPages": [
      {
        "id": "ai-research-workflows",
        "title": "AI-Assisted Research Workflows: Best Practices",
        "path": "/internal/reports/ai-research-workflows/",
        "similarity": 12
      },
      {
        "id": "wiki-generation-architecture",
        "title": "Wiki Generation Architecture: Multi-Agent Multi-Pass Design",
        "path": "/internal/wiki-generation-architecture/",
        "similarity": 10
      }
    ]
  },
  "changeHistory": [
    {
      "date": "2026-02-15",
      "branch": "claude/internal-pages-infrastructure-Y2TWq",
      "title": "Internal pages entity infrastructure",
      "summary": "Added full entity infrastructure to internal pages (style guides, architecture docs, research reports, schema docs). Internal pages now have the `internal` entity type, get auto-assigned E* numeric IDs (E698-E731), are included in the search index, and participate in backlinks/related graph computation. Includes review fixes: filtering internal pages from public explore/home, converting all 7 remaining .md files, adding `internal` to data/schema.ts, and updating all `shouldSkipValidation`/`pageType === 'documentation'` checks.",
      "pr": 142
    }
  ],
  "coverage": {
    "passing": 3,
    "total": 13,
    "targets": {
      "tables": 4,
      "diagrams": 0,
      "internalLinks": 9,
      "externalLinks": 6,
      "footnotes": 3,
      "references": 3
    },
    "actuals": {
      "tables": 7,
      "diagrams": 0,
      "internalLinks": 1,
      "externalLinks": 0,
      "footnotes": 0,
      "references": 0,
      "quotesWithQuotes": 0,
      "quotesTotal": 0,
      "accuracyChecked": 0,
      "accuracyTotal": 0
    },
    "items": {
      "summary": "green",
      "schedule": "red",
      "entity": "red",
      "editHistory": "green",
      "overview": "red",
      "tables": "green",
      "diagrams": "red",
      "internalLinks": "amber",
      "externalLinks": "red",
      "footnotes": "red",
      "references": "red",
      "quotes": "red",
      "accuracy": "red"
    },
    "editHistoryCount": 1,
    "ratingsString": "N:2.5 R:6 A:7.5 C:8"
  },
  "readerRank": 585,
  "researchRank": 511,
  "recommendedScore": 106.75
}
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Backlinks (2)
idtitletyperelationship
architectureSystem Architectureconcept—
wiki-generation-architectureWiki Generation Architecture: Multi-Agent Multi-Pass Designconcept—