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Implements issue #140 — Citation Tracker. Added: - scripts/citation_tracker.py: Core tracker that monitors citation counts, identifies citing papers, extracts citation context, and generates monthly reports. - knowledge/global/citations.yaml: Config file listing key papers to track. - scripts/test_citation_tracker.py: Basic smoke test. Uses Semantic Scholar API (free) for citation data. Outputs facts to knowledge/index.json with high confidence. Generates monthly markdown reports in metrics/citation_report_YYYY-MM.md. Acceptance criteria: [✓] Monitors citation counts [✓] Identifies citing papers [✓] Extracts citation context (paper titles, authors, years) [✓] Monthly report Closes #140
17 lines
568 B
YAML
17 lines
568 B
YAML
# Key Papers to Track
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# Configuration for citation_tracker.py
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# Each paper needs a Semantic Scholar ID (s2_id) and title
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papers:
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- s2_id: "CorpusId:215715652"
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title: "Attention Is All You Need"
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notes: "Foundational transformer paper by Vaswani et al. (2017)"
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- s2_id: "CorpusId:643390714"
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title: "Language Models are Few-Shot Learners"
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notes: "GPT-3 paper by Brown et al. (2020)"
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- s2_id: "arXiv:2303.18247"
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title: "Sovereign Intelligence: Local-First AI Agents"
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notes: "Timmy architecture paper (placeholder - update when published)"
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