🌍 GLOBAL VAULT OVERVIEW

Last Updated: = date(now)

Ring 2 — Canonical Grounding

Ring 3 — Framework Connections


📊 VAULT-WIDE STATISTICS

Total Content

TABLE WITHOUT ID
    length(rows) as "Total Files",
    sum(rows.file.size) as "Total Size (bytes)",
    sum(rows.word_count) as "Total Words"
FROM ""
WHERE file.name != this.file.name

By Content Zone

TABLE WITHOUT ID
    scan_zone as "Zone",
    length(rows) as "Files",
    sum(rows.word_count) as "Words",
    round(sum(rows.word_count) / length(rows), 0) as "Avg Words/File"
FROM ""
WHERE scan_zone != null
GROUP BY scan_zone
SORT length(rows) DESC

By Content Type

TABLE WITHOUT ID
    content_type as "Type",
    length(rows) as "Count",
    round(100 * length(rows) / 1000, 1) + "%" as "% of Vault"
FROM ""
WHERE content_type != null
GROUP BY content_type
SORT length(rows) DESC

🔗 CROSS-ZONE CONNECTIONS

TABLE WITHOUT ID
    file.link as "Paper",
    scan_zone as "Zone",
    length(file.outlinks) as "Outbound Links",
    length(file.inlinks) as "Backlinks",
    length(file.outlinks) + length(file.inlinks) as "Total Connectivity"
FROM ""
WHERE content_type = "paper"
SORT (length(file.outlinks) + length(file.inlinks)) DESC
LIMIT 20

Glossary Coverage (Most Referenced Terms)

TABLE WITHOUT ID
    file.link as "Term",
    length(file.inlinks) as "Referenced By"
FROM ""
WHERE content_type = "glossary"
SORT length(file.inlinks) DESC
LIMIT 15

📈 RECENT ACTIVITY

Recently Updated (Last 7 Days)

TABLE WITHOUT ID
    file.link as "File",
    scan_zone as "Zone",
    content_type as "Type",
    word_count as "Words",
    file.mtime as "Modified"
FROM ""
WHERE file.mtime >= date(now) - dur(7 days)
SORT file.mtime DESC
LIMIT 25

Newest Additions

TABLE WITHOUT ID
    file.link as "File",
    scan_zone as "Zone",
    content_type as "Type",
    file.ctime as "Created"
FROM ""
WHERE file.ctime >= date(now) - dur(7 days)
SORT file.ctime DESC
LIMIT 15

🧠 CONCEPT DENSITY ANALYSIS

Top Concepts (Vault-Wide)

// Query database for concept stats
const concepts = await dv.query(`
    SELECT concept, mentions, zones 
    FROM concepts 
    ORDER BY mentions DESC 
    LIMIT 20
`);
 
if (concepts && concepts.values) {
    dv.table(
        ["Concept", "Mentions", "Zones"],
        concepts.values.map(c => [c[0], c[1], c[2]])
    );
} else {
    dv.paragraph("*Run vault_refresh_v2.py to populate concept data*");
}

Concept Co-Occurrence Network

// Query database for top co-mentions
const coMentions = await dv.query(`
    SELECT concept1, concept2, count 
    FROM co_mentions 
    ORDER BY count DESC 
    LIMIT 15
`);
 
if (coMentions && coMentions.values) {
    dv.table(
        ["Concept 1", "Concept 2", "Co-occurrences"],
        coMentions.values.map(c => [c[0], c[1], c[2]])
    );
} else {
    dv.paragraph("*Run vault_refresh_v2.py to populate co-mention data*");
}

🎯 CONTENT QUALITY METRICS

Papers by Word Count

TABLE WITHOUT ID
    file.link as "Paper",
    word_count as "Words",
    round(word_count / 250, 1) as "Est. Pages"
FROM ""
WHERE content_type = "paper"
SORT word_count DESC
TABLE WITHOUT ID
    file.link as "File",
    scan_zone as "Zone",
    content_type as "Type"
FROM ""
WHERE length(file.inlinks) = 0 AND length(file.outlinks) = 0
SORT file.name
LIMIT 20

Stub Files (< 200 words)

TABLE WITHOUT ID
    file.link as "File",
    scan_zone as "Zone",
    word_count as "Words"
FROM ""
WHERE word_count < 200 AND content_type != "system"
SORT word_count
LIMIT 20

🚀 SYSTEM HEALTH

Database Status

const dbPath = dv.app.vault.adapter.basePath + "/00_VAULT_SYSTEM/theophysics.db";
const fs = require('fs');
 
try {
    const stats = fs.statSync(dbPath);
    const sizeMB = (stats.size / 1024 / 1024).toFixed(2);
    const modified = new Date(stats.mtime).toLocaleString();
    
    dv.paragraph(`**Database:** theophysics.db  
**Size:** ${sizeMB} MB  
**Last Updated:** ${modified}  
**Status:** ✅ Operational`);
} catch (e) {
    dv.paragraph("⚠️ Database not found. Run vault_refresh_v2.py to initialize.");
}
LIST
- "Run `python 00_VAULT_SYSTEM/vault_refresh_v2.py --vault . --verbose` to update index"
- "Execute `auto_linker.py` to generate cross-references"
- "Run `concept_hub_generator.py` to build concept hubs"
- "Check NEXT_STEPS.md for predictive insights"
WHERE file.name = "FAKE"

📖 NAVIGATION

  • BREAKTHROUGH_MAP - Conceptual breakthrough tracking
  • NEXT_STEPS - AI-predicted next research directions
  • 🚀 START_HERE - User onboarding guide
  • README - System documentation

This dashboard updates automatically as vault content changes. For database refresh, run vault scanner in 00_VAULT_SYSTEM.

Canonical Hub: CANONICAL_INDEX