# 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.

## Features

- 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.

## Links

- [github.com/amirkhaki/gold-digger](https://github.com/amirkhaki/gold-digger)

- Price: free
- Open source: yes
- Categories: Project Research
- Fields: General and Interdisciplinary
- Platforms: Mac, Win, Linux
- Tags: Peer Review, Research, Literature Search, CLI
- Listed: 2025-12-18
- Page: https://tools.kausalflow.com/tools/gold-digger/

Source: Tools for Academic Research (https://tools.kausalflow.com/), CC BY-SA 4.0.