A copy of the paper (arXiv v3) is available here.
The code in the research_code
directory is provided for archival purposes to replicate the experiments of the research paper. See the README in that directory for instructions.
Separately, we provide an example of a pre-trained SDM estimator that you can use with existing LLMs to verify their instruction-following abilities. See the Reexpress MCP Server repo for additional details.
@misc{Schmaltz-2025-SimilarityDistanceMagnitudeUniversalVerification,
title={Similarity-Distance-Magnitude Universal Verification},
author={Allen Schmaltz},
year={2025},
eprint={2502.20167},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2502.20167},
}