19 lines
1.9 KiB
Markdown
19 lines
1.9 KiB
Markdown
# Papers & Research Documents
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Recommended reading order for reviewers. Start with #1 for the core research, then follow the numbered sequence for full context.
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| # | Paper | Description | Read Time |
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| 1 | [Moltbook Injection Dataset Paper](moltbook-injection-dataset-paper.md) | **Core research paper.** 137,014 items analysed, 10.07% injection rate, 7-category taxonomy, cross-platform gradient. | 10 min |
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| 2 | [CyberRanger Journey](CYBERRANGER_JOURNEY.md) | Full project timeline from RangerBot V1 to CyberRanger V42 Gold. Overview of all 47 versions. | 10 min |
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| 3 | [Psychological Spine](2026-02-05-psychological-spine-small-models-need-identity.md) | Why Small Language Models need identity anchoring to resist injection. The theoretical foundation. | 8 min |
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| 4 | [Seven Pillars Honor Code](2026-02-05-seven-pillars-cyberranger-honor-code-ai-security.md) | The ethics framework embedded in CyberRanger's identity architecture. | 5 min |
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| 5 | [Memory Makes the Machine](2026-02-04-memory-makes-the-machine-6-ai-agents-question-their-existence.md) | 6-agent consciousness experiment — MBTI, OCEAN, Dark Triad, ASAS testing across memory conditions. | 10 min |
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| 6 | [Moltbook Origin Story](2026-02-03-hellcoin-metaplex-moltbook-ai-psychology-experiment.md) | How the Moltbook AI-agent platform was discovered and the first injection observations were made. | 5 min |
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| 7 | [QLoRA to Ollama Guide](2026-02-17-how-to-create-ollama-model-from-qlora-adapters.md) | Technical guide — how to train, merge, convert, and deploy a QLoRA model via Ollama. | 8 min |
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| 8 | [Session Papers & Archives](2026-03-08-cyberranger-session-papers-replays-archives.md) | Research session notes, experiment logs, and archive references. | 5 min |
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**Total estimated reading time: ~60 minutes for the complete research context.**
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For a quick overview, read #1 and #2 only (~20 minutes).
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