KausalFlow Tools

gold-digger

Gold Digger is a command-line tool for snowballing literature search, starting from a few initial papers. It uses the Semantic Scholar API to find citations and references, and provides a flexible filtering mechanism to narrow down the results.

Visit github.com/amirkhaki/gold-digger ↗ Suggest an edit
gold-digger screenshot

What it does

  • Snowballing Literature Search: Automatically expands a literature search by tracing citations and references from an initial set of papers.
  • Semantic Scholar API Integration: Fetches academic paper data, including citations and references.
  • Flexible Filtering System: Allows users to narrow down results using a variety of criteria.
  • Keyword & Field Filter: Search for keywords within specific paper fields like title or abstract.
  • Year Filter: Filter papers by publication year using operators (e.g., greater than, equal to).
  • Author Filter: Filter papers based on an author's name.
  • LLM-Powered Filter: Utilize a Large Language Model (e.g., Gemini) to filter papers based on a custom, natural language criterion.
  • File-Based LLM Filter: Provide the LLM filtering criterion via a text file.
  • Complex Logic (OR): Group filters using OR logic for more flexible searching.
  • Multiple Output Formats: Save results in JSON or convert them to BibTeX format.
  • BibTeX Conversion Utility: Convert existing JSON result files to .bib format.
  • API Response Caching: Caches API calls to improve performance and reduce redundant requests.
  • Configurable Batch Processing: Control batch sizes for API calls and LLM processing.
  • Multiple LLM Backends: Supports both the Gemini API and a local gemini-cli tool for LLM filtering.

Similar tools