This skill queries the Semantic Scholar API to find published-venue papers (IEEE, ACM, Springer, etc.), returning citation counts, venue metadata, TLDRs, a…
This skill queries the Semantic Scholar API to find published-venue papers (IEEE, ACM, Springer, etc.), returning citation counts, venue metadata, TLDRs, and structured identifiers. It is explicitly the published-venue counterpart to /arxiv and will note if results also link to arXiv without re-fetching arXiv data. Key features include parsing DOIs, Semantic Scholar IDs, arXiv or Corpus IDs; default filters for Computer Science and Engineering and Journal/Conference types; and a MAX_RESULTS default of 10 (configurable via - max: N). Supports overrides to filter by publication type, minimum citations, year ranges, fields, and sort-by-citations. Implementation uses tools/semantic_scholar_fetch.py with an inline-Python fallback. Use this when you need authoritative, citation-aware literature searches, venue details, or to retrieve specific published papers by identifier.
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