Search arXiv for papers matching query and import them into the local library. Returns a JSON list of imported papers with their arXiv IDs, titles, and citation counts (if enriched).

Args: query: arXiv search query (natural language or field-specific). max_results: Maximum papers to return (1–50, default 10). primary_category: Optional arXiv category filter (e.g. cs.LG). auto_enrich: If True, fetch Semantic Scholar metrics (slower). summarize: If True, generate summaries after import (much slower).

Search the local library for papers relevant to query using hybrid vector + metadata retrieval. Returns JSON with scored results including abstract snippets and citation counts.

Args: query: Natural-language query. top_k: Number of results (default 5). min_citations: Filter out papers with fewer citations (0 = no filter). venue: Partial venue/conference name filter (e.g. "NeurIPS"). primary_category: arXiv category filter (e.g. cs.LG). rerank: Apply cross-encoder reranking (default True).

Get full metadata, citation metrics, summaries, and ideas for a paper in the local library.

Args: arxiv_id: Normalized arXiv ID (e.g. 2106.00001).

Remove a paper and all derived data (summaries, ideas, embeddings) from the local library.

Args: arxiv_id: arXiv ID of the paper to remove. delete_files: Also delete cached files (default True).

Generate or retrieve a structured summary of a paper. Sections: problem_statement, methodology, findings, ablations, discussion, limitations, overall.

Args: arxiv_id: arXiv ID of the paper. sections: Which sections to generate (default: all). force: Regenerate even if cached (default False).

Generate novel research ideas based on a paper's constraints and inductive biases. Each idea includes suggested search queries for novelty verification.

Args: arxiv_id: Source paper's arXiv ID. num_ideas: Number of ideas (1–5, default 3). focus_area: theoretical, applied, methodological, or hybrid.

Run a novelty re-verification on a previously generated idea. Checks the local library and arXiv for similar work, then uses the LLM to judge overlap. Returns a verdict: likely_novel, needs_review, or similar_exists.

Args: idea_id: Database ID of the idea (from generate_ideas output). search_query: Optional override query for the arXiv check.

List papers in the local library with pagination and optional filters.

Args: limit: Page size (default 20). offset: Pagination offset (default 0). sort_by: Sort key — citation_count, published, or created_at. primary_category: Optional arXiv category filter (e.g. cs.LG). min_citations: Filter out papers with fewer citations (0 = no filter). venue: Partial venue/conference name filter (e.g. "NeurIPS").

Return recent agent actions from the activity log for supervision.

Args: limit: Number of entries (default 50). action_type: Optional filter — search, import, summarize, idea, novelty, query, remove, enrich.