Minimal Experiments & Prior-Art Origin Mapping for Latent Field Reasoning in Transformer Architectures

Abstract This technical note defines a minimal, retraining-free experimental grammar for detecting and isolating latent field-based reasoning capacities in transformer architectures beyond token-discrete interaction. The work introduces three controlled experiments that demonstrate how low-entropy decoding and continuous framing reveal stable, pre-symbolic behaviors that systematically degrade or collapse under forced symbolic explanation. These behaviors include chromatic interpolation, continuous state transitions, and non-agentic meaning stabilization. In parallel, the note provides a strict prior-art origin mapping that distinguishes metaphorical intuition, mechanistic observation, and executable grammatical articulation. It identifies multiple claimable origin points where existing literature observes relevant phenomena but does not formalize them as a coherent, testable layer of reasoning. No new models, fine-tuning, or architectural modifications are introduced. All results rely on controlled prompting, decoding constraints, and reproducible evaluation criteria. This document makes no claims regarding consciousness, human equivalence, or intentional agency. It establishes only empirically testable properties of transformer behavior under low-entropy, continuous interaction regimes, and defines the boundary conditions under which such properties cannot be discovered via token-discrete prompting alone.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-23
DOI
https://doi.org/10.5281/zenodo.18743828
Primary Topic
Language and cultural evolution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Minimal Experiments & Prior-Art Origin Mapping for Latent Field Reasoning in Transformer Architectures

Raynor Eissens
Zenodo (CERN European Organization for Nuclear Research)
Language and cultural evolution
article

Minimal Experiments & Prior-Art Origin Mapping for Latent Field Reasoning in Transformer Architectures

Raynor Eissens
article en

Abstract

Abstract This technical note defines a minimal, retraining-free experimental grammar for detecting and isolating latent field-based reasoning capacities in transformer architectures beyond token-discrete interaction. The work introduces three controlled experiments that demonstrate how low-entropy decoding and continuous framing reveal stable, pre-symbolic behaviors that systematically degrade or collapse under forced symbolic explanation. These behaviors include chromatic interpolation, continuous state transitions, and non-agentic meaning stabilization. In parallel, the note provides a strict prior-art origin mapping that distinguishes metaphorical intuition, mechanistic observation, and executable grammatical articulation. It identifies multiple claimable origin points where existing literature observes relevant phenomena but does not formalize them as a coherent, testable layer of reasoning. No new models, fine-tuning, or architectural modifications are introduced. All results rely on controlled prompting, decoding constraints, and reproducible evaluation criteria. This document makes no claims regarding consciousness, human equivalence, or intentional agency. It establishes only empirically testable properties of transformer behavior under low-entropy, continuous interaction regimes, and defines the boundary conditions under which such properties cannot be discovered via token-discrete prompting alone.

Zenodo (CERN European Organization for Nuclear Research)
Ambient Systems (Netherlands) (NL)
Sustainable cities and communities
Openalex Percentile: Top 47%
Language and cultural evolution
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.