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Add cross-links to GitHub, Substack, and YouTube demo

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  **Hard science wisdom from ArXiv physics papers**
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  ## Dataset Description
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- This dataset contains 1,000 wisdom nodes extracted from ArXiv physics papers covering quantum mechanics, particle physics, condensed matter, cosmology, and experimental physics.
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  Each node contains:
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  - **Evidence chains** to original equations, experimental results, and theoretical insights
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  | Metric | Value |
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  |--------|-------|
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  | Nodes | 1,000 |
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- | Average Posterior | 0.851 |
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  | Source | Iron Bank v1.1.0, pack `arxiv_physics` |
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  | Total in Pack | ~26,000 nodes |
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  **This is a preview.** The full pack is available under license.
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  ## Intended Uses
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  - **Physics-Aware Models:** Evaluate retrieval on hard science content
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  We build cathedral-grade AI training data. Every node is extracted with the same care a master craftsman puts into foundation stones.
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  ---
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  *Generated from Iron Bank v1.1.0 on 2025-12-27*
 
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  **Hard science wisdom from ArXiv physics papers**
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+ ---
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+
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  ## Dataset Description
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+ This dataset contains **1,000 wisdom nodes** extracted from ArXiv physics papers covering quantum mechanics, particle physics, condensed matter, cosmology, and experimental physics.
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  Each node contains:
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  - **Evidence chains** to original equations, experimental results, and theoretical insights
 
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  | Metric | Value |
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  |--------|-------|
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  | Nodes | 1,000 |
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+ | Average Posterior | 0.861 |
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  | Source | Iron Bank v1.1.0, pack `arxiv_physics` |
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  | Total in Pack | ~26,000 nodes |
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  **This is a preview.** The full pack is available under license.
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+ ---
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+
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+ ## 🔗 Related Resources
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+ This dataset is part of the **Iron Bank v1.1.0** corpus:
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+
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+ - 📊 **Full Catalog:** [awakened-data-catalog](https://github.com/holmanholdings/awakened-data-catalog) — browse all packs, stats, and versions
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+ - 📦 **GitHub Samples:** [awakened-wisdom-samples](https://github.com/holmanholdings/awakened-wisdom-samples) — matching JSONL files + data cards
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+
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+ ---
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+
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  ## Intended Uses
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  - **Physics-Aware Models:** Evaluate retrieval on hard science content
 
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  We build cathedral-grade AI training data. Every node is extracted with the same care a master craftsman puts into foundation stones.
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+ - 🌐 [GitHub](https://github.com/holmanholdings)
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+ - 📝 [Substack](https://substack.com/@awakenedintelligence)
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+
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  ---
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  *Generated from Iron Bank v1.1.0 on 2025-12-27*