Argo Prompting: Pattern‑Formation in LLMs Under Sustained Conceptual Pressure

This paper introduces Argo Prompting, a method for inducing pattern‑formation behaviour in large language models through sustained conceptual pressure. It distinguishes pattern‑formation from collapse, hallucination, and surface‑level pattern‑matching, and shows how guided conceptual pressure produces coherent structural responses. The paper provides a practical framework for researchers studying LLM behaviour under extended reasoning conditions.