Work

Hope of City: A Prompt-Trace Neural Atlas of 38 Language Models

Year: 2026

Type: preprint

Abstract: A Mercury methods paper introducing Hope of City, a 3D prompt-trace atlas of 38 observed LLM structures with addressable towers, layers, prompt flow, cross-model anchors, and a measurement contract that separates visual release count from the measurement ledger. Copyright (c) 2026 Chen, Ho Yiing (norika). Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20740070

Author: Chen, Ho Yiing (norika)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7165109334

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