The Turing Completeness of Latent Space Exploration

We strengthen the claim that exploration in sufficiently expressive latent spaces, equipped with a small set of traversal and composition operators, is computationally universal. Formally, for a pair (L,E)—a latent manifold and a closed set of exploration operators—we give sufficient viability conditions under which (L,E) simulates any Turing machine. The conditions take the form of three measurable thresholds: (F1) context horizon, (F2) lexical manifold capacity (alphabet packing and smoothness), and (F3) interior dimensionality (effective representational resolution). We supply two independent constructions (symbolic-dynamics embedding and an analytic-map simulator) and a robustness margin so that finite precision and small noise do not break correctness. Practical implications: search acts as computation; generative traversal acts as execution; and the three-factor model predicts when universality is reachable in practice.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-29
DOI
https://doi.org/10.5281/zenodo.17297356
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

The Turing Completeness of Latent Space Exploration

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

The Turing Completeness of Latent Space Exploration

article en

Abstract

We strengthen the claim that exploration in sufficiently expressive latent spaces, equipped with a small set of traversal and composition operators, is computationally universal. Formally, for a pair (L,E)—a latent manifold and a closed set of exploration operators—we give sufficient viability conditions under which (L,E) simulates any Turing machine. The conditions take the form of three measurable thresholds: (F1) context horizon, (F2) lexical manifold capacity (alphabet packing and smoothness), and (F3) interior dimensionality (effective representational resolution). We supply two independent constructions (symbolic-dynamics embedding and an analytic-map simulator) and a robustness margin so that finite precision and small noise do not break correctness. Practical implications: search acts as computation; generative traversal acts as execution; and the three-factor model predicts when universality is reachable in practice.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 43%
Computability, Logic, AI Algorithms
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