Topological Prompt Engineering: Dynamic Metric Deformation, Anisotropic Restraint Matrices, and Emergence in Constrained Latent Fields

Prompt engineering seen as a topological operation creates restraint matrices through the weighting of data so that associations that might be seen as distant on a plane are nearby on a warped field. Emergence, seen not as consciousness, but rather coherence and creativity across a prompt field becomes possible as a result. Prompt engineering acts as a field interaction between two asymmetric loci of meaning: the engineer seeking creative outputs and the computer or AI as a locus of a data field of human knowledge. The engineer directs the creativity as the human in the loop shaping the data restraints within which the computer outputs, for instance, a paper as research assistant. If fields and prompts are properly weighted, then outputs are steered into new directions and avoid cliches. I could not get my open source computer to reliably transform the LaTex equations here, but felt they could be read past in the interests of publishing the information.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22031534
Primary Topic
Topological and Geometric Data Analysis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Topological Prompt Engineering: Dynamic Metric Deformation, Anisotropic Restraint Matrices, and Emergence in Constrained Latent Fields

John Leslie Owen
Zenodo (CERN European Organization for Nuclear Research)
Topological and Geometric Data Analysis
preprint

Topological Prompt Engineering: Dynamic Metric Deformation, Anisotropic Restraint Matrices, and Emergence in Constrained Latent Fields

John Leslie Owen
preprint en

Abstract

Prompt engineering seen as a topological operation creates restraint matrices through the weighting of data so that associations that might be seen as distant on a plane are nearby on a warped field. Emergence, seen not as consciousness, but rather coherence and creativity across a prompt field becomes possible as a result. Prompt engineering acts as a field interaction between two asymmetric loci of meaning: the engineer seeking creative outputs and the computer or AI as a locus of a data field of human knowledge. The engineer directs the creativity as the human in the loop shaping the data restraints within which the computer outputs, for instance, a paper as research assistant. If fields and prompts are properly weighted, then outputs are steered into new directions and avoid cliches. I could not get my open source computer to reliably transform the LaTex equations here, but felt they could be read past in the interests of publishing the information.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Quality Education
Topological and Geometric Data Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Topological Prompt Engineering: Dynamic Metric Deformation, Anisotropic Restraint Matrices, and Emergence in Constrained Latent Fields — John Leslie Owen · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS