# Search Papers (/api-reference/endpoint/research-search-papers)

<!-- agent-signals: reading_time_min: 2 · est_tokens: 1553 · updated: 2026-07-30 -->
Related: [Search](/api-reference/endpoint/search.md), [Search Feedback](/api-reference/endpoint/search-feedback.md), [Scrape](/api-reference/endpoint/scrape.md), [Batch Scrape](/api-reference/endpoint/batch-scrape.md), [Get Batch Scrape Status](/api-reference/endpoint/batch-scrape-get.md), [Cancel Batch Scrape](/api-reference/endpoint/batch-scrape-delete.md)

Search papers by topic, method, benchmark, author, or category. Results include canonical `paperId`, preferred `primaryId`, source ids, title, abstract, score, and optional ranking signals.

For a workflow overview, see the [Research Index guide](/features/research).

`GET /search/research/papers`

Search papers

## OpenAPI

```json
{
  "security": [
    {
      "bearerAuth": []
    }
  ],
  "parameters": [
    {
      "name": "query",
      "in": "query",
      "required": true,
      "description": "Natural-language paper search query.",
      "schema": {
        "type": "string",
        "minLength": 1
      }
    },
    {
      "name": "k",
      "in": "query",
      "required": false,
      "description": "Maximum number of ranked papers to return.",
      "schema": {
        "type": "integer",
        "minimum": 1,
        "maximum": 500,
        "default": 40
      }
    },
    {
      "name": "authors",
      "in": "query",
      "required": false,
      "description": "Author substring filter. Repeat or pass a comma-separated value; all filters must match.",
      "schema": {
        "type": "string"
      }
    },
    {
      "name": "categories",
      "in": "query",
      "required": false,
      "description": "Paper category filter. Repeat or pass a comma-separated value; all filters must match.",
      "schema": {
        "type": "string"
      }
    },
    {
      "name": "from",
      "in": "query",
      "required": false,
      "description": "Inclusive lower bound on created/updated date.",
      "schema": {
        "type": "string",
        "format": "date"
      }
    },
    {
      "name": "to",
      "in": "query",
      "required": false,
      "description": "Inclusive upper bound on created/updated date.",
      "schema": {
        "type": "string",
        "format": "date"
      }
    }
  ],
  "responses": {
    "200": {
      "description": "Ranked paper results.",
      "content": {
        "application/json": {
          "schema": {
            "type": "object",
            "required": [
              "success",
              "results"
            ],
            "properties": {
              "success": {
                "type": "boolean"
              },
              "results": {
                "type": "array",
                "items": {
                  "type": "object",
                  "required": [
                    "paperId",
                    "primaryId",
                    "title",
                    "abstract",
                    "score"
                  ],
                  "properties": {
                    "paperId": {
                      "type": "string",
                      "description": "Canonical paper id, or web:<url> for SERP-discovered display results."
                    },
                    "primaryId": {
                      "type": "string",
                      "description": "Preferred cite/fetch id such as arxiv:<id>, pmid:<id>, pmcid:<id>, or doi:<id>."
                    },
                    "ids": {
                      "type": "object",
                      "description": "Source identifiers grouped by namespace.",
                      "additionalProperties": {
                        "type": "array",
                        "items": {
                          "type": "string"
                        }
                      },
                      "example": {
                        "arxiv": [
                          "2105.05233"
                        ]
                      }
                    },
                    "title": {
                      "type": "string"
                    },
                    "abstract": {
                      "type": "string"
                    },
                    "score": {
                      "type": "number",
                      "format": "double"
                    },
                    "signals": {
                      "type": "object",
                      "required": [
                        "structural",
                        "semantic",
                        "articleRank",
                        "seedOverlap"
                      ],
                      "properties": {
                        "structural": {
                          "type": "number",
                          "format": "double",
                          "description": "Raw structural graph signal."
                        },
                        "semantic": {
                          "type": "number",
                          "format": "double",
                          "description": "Semantic score from the intent search."
                        },
                        "articleRank": {
                          "type": "number",
                          "format": "double",
                          "description": "Structural expansion article-rank score."
                        },
                        "seedOverlap": {
                          "type": "integer",
                          "minimum": 0,
                          "description": "Number of distinct seeds connected to this candidate."
                        }
                      }
                    }
                  }
                }
              }
            }
          },
          "example": {
            "success": true,
            "results": [
              {
                "paperId": "2014215642691656232",
                "primaryId": "arxiv:2105.05233",
                "ids": {
                  "arxiv": [
                    "2105.05233"
                  ]
                },
                "title": "Diffusion Models Beat GANs on Image Synthesis",
                "abstract": "We show that diffusion models can achieve image sample quality superior to the current state-of-the-art generative models...",
                "score": 0.0163934
              }
            ]
          }
        }
      }
    },
    "400": {
      "description": "Invalid request"
    },
    "401": {
      "description": "Missing or invalid bearer token"
    },
    "429": {
      "description": "Rate limit exceeded"
    },
    "500": {
      "description": "Internal server error"
    }
  }
}
```