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Computer science bibliography via DBLP API. Use when: user asks about CS publications, author publication lists, or venue (conference/journal) metadata. NOT for: non-CS publications or citation counts.
Basé sur la classification professionnelle SOC
# Academic Literature Search — 学术文献检索与引用管理
Search arXiv for preprints in physics, math, CS, quantitative biology, quantitative finance, statistics, electrical engineering, economics. Use when: (1) finding preprints by topic, (2) searching by author, (3) browsing arXiv categories, (4) getting paper metadata/abstracts. NOT for: published journal articles (use crossref-search), biomedical (use pubmed-search).
Screen papers for systematic reviews using ASReview active learning. Use when: user has a large set of papers to screen for inclusion/exclusion, wants to prioritize relevant papers, or needs to reduce manual screening workload. NOT for: searching papers (use literature-search) or meta-analysis (use meta-analysis).
Analyzes astronomical observations and cosmological models including telescope data processing, celestial mechanics calculations, stellar evolution, galaxy classification, and cosmological parameter estimation; trigger when users discuss stars, galaxies, exoplanets, dark matter, or the universe's large-scale structure.
"Astronomical computations via Astropy. Use when: user asks about celestial coordinates, FITS files, or cosmological calculations. NOT for: telescope control or real-time observation planning."
Performs bioinformatics analyses including pathway enrichment, gene ontology analysis, protein-protein interaction networks, multi-omics integration, and biological sequence database querying; trigger when users discuss gene sets, biological pathways, functional annotation, or omics data integration.
| name | dblp-search |
| description | Computer science bibliography via DBLP API. Use when: user asks about CS publications, author publication lists, or venue (conference/journal) metadata. NOT for: non-CS publications or citation counts. |
| metadata | {"openclaw":{"emoji":"💻","requires":{"bins":["curl"]}}} |
Query the DBLP computer science bibliography for publications, authors, and venues.
No API key required. Public REST API.
https://dblp.org/search/
# Search by keyword
curl -s "https://dblp.org/search/publ/api?q=attention+is+all+you+need&format=json&h=5" | python3 -c "
import json,sys
data=json.load(sys.stdin)
for hit in data['result']['hits'].get('hit',[]):
info=hit['info']
print(f\"Title: {info.get('title','')}\")
print(f\"Authors: {', '.join(a.get('text','') for a in info.get('authors',{}).get('author',[]))}\")
print(f\"Venue: {info.get('venue','')}, Year: {info.get('year','')}\")
print()
"
# Filter by year
curl -s "https://dblp.org/search/publ/api?q=large+language+model+year%3A2024&format=json&h=10"
# Find author
curl -s "https://dblp.org/search/author/api?q=Yoshua+Bengio&format=json&h=5"
# Get author's publication list
curl -s "https://dblp.org/pid/b/YoshuaBengio.xml?format=json" | python3 -c "
import json,sys
data=json.load(sys.stdin)
pubs=data.get('dblpperson',{}).get('r',[])[:10]
for p in pubs:
entry=list(p.values())[0] if isinstance(p,dict) else {}
print(f\"{entry.get('year','')} - {entry.get('title','')}\")
"
# Find conference/journal
curl -s "https://dblp.org/search/venue/api?q=NeurIPS&format=json&h=5"
# h = results per page, f = first result index
curl -s "https://dblp.org/search/publ/api?q=graph+neural+network&format=json&h=20&f=0"
curl -s "https://dblp.org/search/publ/api?q=graph+neural+network&format=json&h=20&f=20"