List papers by category
Browse papers by category or semantic field. Use this to explore papers without a search query.
Does not count toward paper quota.
For full-text search, use GET /search instead.
Authorization
ApiKeyAuth API key for authentication. Get yours at https://sciencestack.ai/settings/api
Format: sk_live_... or sk_test_...
In: header
Query Parameters
Semantic field to filter by (e.g., machine-learning, nlp, computer-vision).
Required if category is not provided.
arXiv category filter. Comma-separated for multiple (e.g., cs.LG,cs.CL).
Required if field is not provided.
Sort order for results:
recent: Most recently published first (default)citations: Most cited first
"recent""recent" | "citations"Maximum results to return
20value <= 100Pagination offset
0Only return papers published on or after this date.
ISO 8601 format (e.g., 2025-01-01 or 2025-01-01T00:00:00Z).
dateOnly return papers published before this date.
ISO 8601 format (e.g., 2025-02-01 or 2025-02-01T00:00:00Z).
dateResponse Body
application/json
application/json
application/json
curl -X GET "https://sciencestack.ai/api/v1/papers?field=machine-learning&category=cs.LG&from=2025-01-01&to=2025-02-01"{
"data": [
{
"id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
"title": "string",
"arxivId": "string",
"authors": [
"string"
],
"abstract": "string",
"tldr": "string",
"published": "2019-08-24T14:15:22Z",
"citationCount": 0,
"primaryCategory": "string"
}
],
"pagination": {
"offset": 0,
"limit": 0,
"hasMore": true
},
"_version": "string"
}{
"error": {
"code": "INVALID_QUERY",
"message": "Query parameter \"q\" is required"
}
}{
"error": {
"code": "UNAUTHORIZED",
"message": "Invalid API key"
}
}Search papers
Search papers across the catalog. This is the primary discovery endpoint. **Does not count toward paper quota.** Search behavior (in order of precedence): 1. Exact arXiv ID match: `1706.03762` or `1706.03762v7` 2. Full-text search on title + abstract 3. Author name search (fallback) 4. Fuzzy title match (last resort for typos)
Get paper metadata
Get paper metadata by arXiv ID or internal UUID. Optionally include additional fields like TOC, summaries, figures, etc.