llm-obsidian-content
"Generative wiki" rabbit hole conversations projected into a knowledge garden
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic links in README
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (0.2%) to scientific vocabulary
Last synced: 6 months ago
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Repository
"Generative wiki" rabbit hole conversations projected into a knowledge garden
Basic Info
- Host: GitHub
- Owner: dmarx
- Default Branch: main
- Size: 19.5 MB
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- Forks: 0
- Open Issues: 0
- Releases: 0
Created 7 months ago
· Last pushed 7 months ago
Metadata Files
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Owner
- Name: David Marx
- Login: dmarx
- Kind: user
- Location: Seattle, WA
- Company: Stability.ai, Eleuther.ai
- Website: http://dmarx.github.io
- Twitter: DigThatData
- Repositories: 226
- Profile: https://github.com/dmarx
Engineer / Machine Learning Researcher interested in deep learning, probabilistic ML, generative models, multi-modal SSL, visual understanding, geometric
Citation (citation intent taxonomy.md)
---
date: '2024-11-28T19:46:29.411519Z'
tags:
- autogenerated
- source__claude
- conversation_id__3cd80afe-4f42-4110-a989-afd7d7eaaf33
- msg_e78175a0-d568-4bed-99f2-72f54d23b4b6
- msg_11625774-067f-4838-9465-b55309467b7d
- colorclass/research-knowledge-graph-schema
title: citation intent taxonomy
---
**USER**
elaborate on the notion of "citation intents"
**ASSISTANT**
# Citation Intent Taxonomy
## Core Intent Categories
```
Citation_Intent = {
background: {
type: "Uses", // References prior work/concepts
subtypes: ["Definition", "Problem_Statement"]
},
method: {
type: "Builds_On", // Extends/modifies prior work
subtypes: ["Uses_Method", "Adapts_Method"]
},
result: {
type: "Compares", // Empirical comparison
subtypes: ["Outperforms", "Validates", "Contradicts"]
},
motivation: {
type: "Identifies_Gap", // Problem statements
subtypes: ["Limitation", "Open_Question"]
}
}
```
## Example from ML Literature
```
Paper: "Vision Transformer"
Citations: {
"Attention Is All You Need": {
intent: "method.Uses_Method",
context: "We adapt the Transformer architecture..."
},
"ResNet": {
intent: "result.Outperforms",
context: "ViT achieves 88.5% accuracy compared to ResNet's 85.8%"
},
"CNN Inductive Bias": {
intent: "motivation.Limitation",
context: "CNNs have inherent limitations due to local receptive fields"
}
}
```
This system enables analyzing research lineage but lacks granularity for tracking specific claims or theoretical developments.
---
preceding: [[tell me more about the claim tracking in semantic scholar]]
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