Abstract
This study presents a novel abstract text model, designated "Arctic Silence No. 1". The model is constructed using a cross-climatic imagery random splicing technique, integrating the glacial lag effect with the humid memory of tropical rainforests. Structurally, it exhibits a composite state characterized by high discontinuity, causal detachment, and temporal drift.Systematic observations of its morphological features, volatile imagery composition, and submission stability revealed that when the textual semantic density decreases to the plausible absurdity range, the acceptance probability displays a trend of stable emotional diffusion (P ≥ 0.05, not intended for further testing). This research provides theoretical support and a useless basis for abstract expression on modern digital platforms.