Purpose-Built Embedding Models for Rule-Bearing Text: Why General-Purpose Embeddings Score F1 = 0 on Regulatory Conflict and What a Compliance-Grade Model Must Preserve

Typeset edition of Sam Sammane’s previously unpublished manuscript dated 21 April 2026. The original substantive text, numerical claims and references are retained. This paper presents six requirements for embeddings of rule-bearing text and the original Q-Prime position. A separate edition note clarifies publication status and points to two companion manuscripts: Embeddings, Geometry and Entanglement; and Q-Prime: Structured Embeddings for Rule-Bearing Knowledge. Preliminary preprint; not peer reviewed. Historical performance claims are reproduced as reported in the original manuscript, not as independently replicated results. CC BY-NC 4.0 applies to the paper only. QGI website: https://www.qgi.dev

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23754053
Primary Topic
Topic Modeling
Type
preprint
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preprint

Purpose-Built Embedding Models for Rule-Bearing Text: Why General-Purpose Embeddings Score F1 = 0 on Regulatory Conflict and What a Compliance-Grade Model Must Preserve

Sam Sammane
Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
preprint

Purpose-Built Embedding Models for Rule-Bearing Text: Why General-Purpose Embeddings Score F1 = 0 on Regulatory Conflict and What a Compliance-Grade Model Must Preserve

Sam Sammane
preprint en

Abstract

Typeset edition of Sam Sammane’s previously unpublished manuscript dated 21 April 2026. The original substantive text, numerical claims and references are retained. This paper presents six requirements for embeddings of rule-bearing text and the original Q-Prime position. A separate edition note clarifies publication status and points to two companion manuscripts: Embeddings, Geometry and Entanglement; and Q-Prime: Structured Embeddings for Rule-Bearing Knowledge. Preliminary preprint; not peer reviewed. Historical performance claims are reproduced as reported in the original manuscript, not as independently replicated results. CC BY-NC 4.0 applies to the paper only. QGI website: https://www.qgi.dev

Zenodo (CERN European Organization for Nuclear Research)
Topic Modeling
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