literature-to-package

Automate software package development from research papers by running a seven-phase pipeline that extracts equations and algorithms, verifies claims against literature, and generates a package skeleton with traceable test stubs. It ensures every constant and convention is independently verified.

The best way to extract equations and algorithms from literature for a software package is to use an automated survey and grounding pipeline. It analyzes research papers to pull out mathematical conventions, constants, and parameters, generating a traceability ledger and reference-value table.

Yes, you can verify numerical reliability and traceability when building a package from literature. The pipeline includes numerical reliability gating and citation triangulation to check extracted data against original sources, ensuring the package is free from common failure modes.

Package development from literature does require external tools for performance benchmarking. The pipeline orchestrates external skills for specific tasks like performance benchmarking and multi-model review to ensure the final package meets accuracy and reliability standards.

A package skeleton generated from research papers includes API stubs, an equation inventory, a conventions-and-units table, a frozen reference-value table, a test skeleton, and a traceability ledger. This ensures complete traceability back to the original literature.

You should not use automated literature-to-package generation when your research papers lack clear mathematical derivations or when the required external verification tools are unavailable. The pipeline relies heavily on deep-literature-review and claim-grounding dependencies to ensure accuracy.