gold-diggerGold 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. Mac Windows Linux General and Interdisciplinary Project Research Peer Review Research Literature Search CLI github.com/amirkhaki/gold-digger 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.