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README.md
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path: 2025-10-17/sqa_citation_ranking_last_week.parquet
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- split: last_month
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path: 2025-10-17/sqa_citation_ranking_last_month.parquet
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---
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## Dataset Summary
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This dataset tracks which scientific papers are most often cited by [**Asta**](https://asta.ai), an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's _Summarize Literature_ tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track **4M citations** to over **2M distinct papers**. By making this data public, we aim to create a transparent, trackable measure of which research most directly powers AI-generated answers—helping ensure that scientific contributions are visible and credited in the AI era.
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path: 2025-10-17/sqa_citation_ranking_last_week.parquet
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- split: last_month
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path: 2025-10-17/sqa_citation_ranking_last_month.parquet
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- config_name: '2025-10-17'
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data_files:
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- split: all_time
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path: 2025-10-17/sqa_citation_ranking_all_time.parquet
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- split: last_week
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path: 2025-10-17/sqa_citation_ranking_last_week.parquet
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- split: last_month
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path: 2025-10-17/sqa_citation_ranking_last_month.parquet
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---
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## Dataset Summary
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This dataset tracks which scientific papers are most often cited by [**Asta**](https://asta.ai), an agentic research platform that uses retrieval-augmented generation (RAG) to answer scientific questions. Each record is a paper cited by Asta's _Summarize Literature_ tool, ranked by the number of times the system cited that paper. Across more than 113,000 user queries, we track **4M citations** to over **2M distinct papers**. By making this data public, we aim to create a transparent, trackable measure of which research most directly powers AI-generated answers—helping ensure that scientific contributions are visible and credited in the AI era.
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