Research Publications

Explore our latest research in AI, machine learning, and advanced computational systems. All papers are available for download in PDF format.

Legal AI2026

Beating Fine-Tuned Transformers Without Training a Single Parameter

A retrieval-based legal AI system built on HyperBinder that achieves state-of-the-art performance on CUAD-SL without any model training or GPU compute, outperforming fine-tuned transformer baselines.

Authors: Jared Peck

Vector-Symbolic Memory2025

HyperBinder: A Vector-Symbolic Memory Engine for AI Agents

White paper on HyperBinder, our next generation knowledge engine for AI agents.

Authors: Nathan Anecone, Jared Peck, Grigoriy Isayev

Embedding Theory2025

Vector-Symbolic Hybrid Systems Bypass Single-Vector Embedding Limitations on Structured Queries

Technical report on bypassing single-vector embedding limitations on structured queries.

Authors: Nathan Anecone

For questions about our research or collaboration opportunities, please contact nanecone@semantic-reach.io.