research papers derived

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      "limit": 5,
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  "output": {
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    "example": {
      "note": "Merged and deduplicated across OpenAlex, Crossref and arXiv; citations from the richest source; pdf_url is a direct open-access link where one exists.",
      "query": "attention is all you need transformer",
      "papers": [
        {
          "doi": "10.48550/arxiv.1706.03762",
          "url": "https://doi.org/10.48550/arxiv.1706.03762",
          "year": 2017,
          "title": "Attention Is All You Need",
          "venue": "Neural Information Processing Systems",
          "bibtex": "@article{vaswani2017,\n  title = {Attention Is All You Need},\n  author = {Ashish Vaswani and Noam Shazeer and Niki Parmar},\n  year = {2017}\n}",
          "authors": [
            "Ashish Vaswani",
            "Noam Shazeer",
            "Niki Parmar"
          ],
          "pdf_url": "https://arxiv.org/pdf/1706.03762",
          "sources": [
            "openalex",
            "arxiv"
          ],
          "abstract": "The dominant sequence transduction models are based on complex recurrent or convolutional neural networks...",
          "citations": 100000
        }
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