THREE TRUTHS - CKG Quality Scores

Analysis Date: 2026-02-17 Papers Analyzed: 19 (of 22) Average Score: 13.7/100 (5.50/9.0)


πŸ“Š Overall Assessment

Series Status: MIXED - Strong core papers, many fragments/notes

Score Distribution:

  • βœ… High Quality (60+): 2 papers
  • ⚠️ Needs Work (20-59): 3 papers
  • πŸ“ Fragments/Notes (0-19): 14 papers

πŸ† Top Performers

  1. De Revolutionibus Veritatis: The Cost of Denial β†’ 80/100 (8.0/9.0)

    • Excellent epistemic structure
    • Strong evidence and integration
  2. De Revolutionibus Veritatis: The Lock β†’ 65/100 (7.5/9.0)

    • Good foundations and constraints
  3. Truth Two: The Measurement Collapse β†’ 50/100 (7.5/9.0)

    • Decent structure, needs more evidence
  4. The Unavoidable Conclusion (index) β†’ 40/100 (6.5/9.0)

    • Basic structure present
  5. Truth Three: The Necessary Ground β†’ 20/100 (5.0/9.0)

    • Outline/draft stage

⚠️ Papers Needing Development

Score 0/100 (fragments/notes):

  • biology.md
  • downloads.md
  • entropy.md
  • finetuning.md
  • godel.md
  • hubble.md
  • inversion.md
  • irony.md
  • landauer.md
  • prayer.md
  • propcosmos.md
  • triad.md
  • truth-one-self-reference-limits.md

Note: These appear to be research notes or concept fragments rather than complete papers.


πŸ’‘ Recommendations

Focus Development On:

  1. Complete the β€œTruth” series (Truth One, Two, Three)
  2. Expand fragment files into full papers
  3. Build out evidence sections (Tier 4)

Papers Ready for Publication:

  • β€œThe Cost of Denial” (80/100) - strong candidate
  • β€œThe Lock” (65/100) - needs minor revision

πŸ“ Full Data

Location: MAIN_PAPERS/OpenAI_DATA/ CSV Export: CKG_Comparison_20260217_141803.csv

For detailed scores by tier, see individual JSON files in OpenAI_DATA folder.


Next Steps:

  1. Review top papers for publication readiness
  2. Develop fragment files into complete papers
  3. Add evidence sections to mid-range papers

Canonical Hub: CANONICAL_INDEX