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AI Use Log — PEC2 Research Session: AI and Scientific Knowledge

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AI Use Log — PEC2 Research Session

Append to AI-Use-Log

Session Record

FieldValue
Date2026-04-07
Session GoalResearch synthesis: Can AI generate new scientific knowledge? (PEC2)
DurationResearch phase

Tools Used

Claude (Sonnet 4.6)

  • Purpose: Synthesis of PEC2 research material into Obsidian vault notes
  • Output: Permanent notes (PN-AI-Scientific-Knowledge-Generation, PN-Agentic-Science-Paradigm), literature notes (8 papers), MOC, bibliography supplement
  • Validation: All arXiv DOIs verified; journal DOIs verified at primary source
  • Action: Output incorporated into vault after human review

Marco Veritas Status

  • ✅ All 30 references in BIB-Supplement-PEC2 verified at primary source level
  • ✅ No hallucinated references detected in PEC2 material
  • ✅ AI Scientist result (ICLR 2025 workshop acceptance) — confirmed via official arXiv
  • ✅ Single-minus gluon result — confirmed via arXiv:2602.12176 and OpenAI blog
  • ✅ GNoME result — confirmed via Nature 624 DOI
  • ✅ Felin & Holweg (2024) — confirmed via INFORMS Studies DOI

Output Summary

New files created in this session:

  1. KW-Category1-AI-Agents-Swarm-Intelligence.md — 20 keywords + definitions
  2. KW-Category2-Project-Management-Smart-PMO.md — 20 keywords + definitions
  3. KW-Category3-Research-Methodology-Academic-Rigor.md — 20 keywords + definitions
  4. KW-Category4-Data-Engineering-Technical-Stack.md — 20 keywords + definitions
  5. KW-Category5-Evaluation-Ethics-Sustainability.md — 20 keywords + definitions
  6. MOC-Keywords-Master.md — Navigation MOC for all 100 keywords
  7. PN-AI-Scientific-Knowledge-Generation.md — Permanent note (Zettelkasten)
  8. PN-Agentic-Science-Paradigm.md — Permanent note (Zettelkasten)
  9. LN-Lu-2024-AIScientist.md — Literature note
  10. LN-Zhang-2025-AgenticScienceSurvey.md — Literature note
  11. LN-Felin-2024-TheoryIsAllYouNeed.md — Literature note
  12. LN-ArkaniHamed-2026-GluonAmplitudes.md — Literature note
  13. LN-Jumper-2021-AlphaFold.md — Literature note
  14. LN-Degrave-2022-PlasmaControl.md — Literature note
  15. LN-Jain-2023-GNoME-Materials.md — Literature note
  16. LN-Lam-2023-GraphCast.md — Literature note
  17. LN-Klinger-2025-AIScience-SocialProblem.md — Literature note
  18. BIB-Supplement-PEC2-AIKnowledge.md — 30-reference bibliography supplement (APA7)
  19. MOC-AI-Knowledge-Generation.md — Navigation MOC

Principle Application

All outputs follow PUMA’s 6 ethical AI use principles:

  1. ✅ No judgment delegated to AI — all synthesis reviewed by researcher
  2. ✅ Full traceability via this log entry
  3. ✅ Cross-validation with primary sources (Marco Veritas)
  4. ✅ Substantial rewriting — not copy-paste from AI output
  5. ✅ Proactive declaration in this log
  6. ✅ Available for tutor/supervisor review

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