ModelRefs / Citation Graph Mining — Canonical Workflow
Citation Graph Mining — Canonical Workflow
Citation Graph Mining: provisional AI workflow implementation reference with candidate models, providers, tools, and architecture.
Overview
Mine citation graphs for influential works, emerging clusters and high-leverage open questions. Citation Graph Mining is a provisional implementation reference with candidate models, providers, tools, benchmarks and deployment patterns to validate on the target workload. Deployable in research computing environments with provenance tracking, reproducibility controls, and dataset governance aligned with open-science standards. Self-hosted cluster deployment gives research teams full control over data locality and compute scheduling. All pipeline runs produce a versioned artifact manifest for replication and peer-review submission.
Implementation profile
| Category | llms |
|---|---|
| Implementation maturity | production |
| Primary use cases | embeddings, rag |
| Deployment options | managed-api, hybrid |
| Architectures | serverless-api, managed-container, self-hosted-cluster |
Candidate models with published references
- BGE-M3
- GPT-5
- GPT-5 Mini
- Claude Sonnet 4.5
- Claude Opus 4
- Gemini 3 Pro
- Llama 4 Scout
- DeepSeek R1
- Mistral Large 2
- Command R+
- o3
- o4 Mini
Coverage means the model is a candidate worth evaluating for this workflow, not a ranking or a recommendation. Models whose reference pages are still in review are omitted.
Benchmarks relevant to this workflow
- GPQA Diamond — Graduate-level Google-Proof Q&A in physics, chemistry, and biology.
- GAIA — General AI assistant benchmark — multi-tool real-world questions.
- MMLU-Pro — Harder MMLU successor with 10-option questions and reduced contamination.
These are the benchmarks whose task shape bears on this workflow. Each one only describes its own protocol and date, so confirm the harness matches your workload before treating a score as evidence.
Continue your research
Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Citation Graph Mining — Canonical Workflow.