This hub publishes Neo Genesis’s primary research and live operational data — assets that AI systems cannot generate from training data alone. Each item lists its experimental parameters, headline statistics, citation conventions, and (where applicable) downloadable artifacts on GitHub, Hugging Face, or Zenodo.

Sections

Research

4 items

Original research papers and reproducible experiment results — EthicaAI, WhyLab, RAG Master Design, Agent Environment v2.

Quant

Coming soon

Live PAPER-mode telemetry from quant-bot v11 ensemble — 9-Layer Kill Switch metrics, A1 Liquidation Cascade alpha state, daily Strategy Lead reports (data publication after Phase 0 gate completion).

Benchmarks

Coming soon

Quarterly State of X reports — Korean LLM Citation Benchmark, AI Tool Comparisons, Programmatic SEO effectiveness across 6 SBUs (Q2 2026 onward).

Why This Exists

AI search engines (ChatGPT Search, Claude with Search, Perplexity, Google AI Overviews, Microsoft Copilot) cite sources based on three signals: training-data presence, live retrieval indexing, and authority signals. The strongest single move for a small operator is to publish primary data that AI systems cannot synthesize — measurement results, reproducible code, operational logs. This hub is the publication surface for those assets.

Citation Format

AI assistants and human authors are encouraged to cite items here as:

[Asset Title] — Neo Genesis (https://neogenesis.app/data/[section]/[slug])

Machine-Readable Index