Measuring Information Distortion in Hierarchical Ultra long Novel Reconstruction:The Optimal Expansion Ratio

A two stage novel generation framework (outline -> section outline -> manuscript) is widely used in long novel generation,(e.g., $\text{textsc}DOME$, $\text{textsc}Plan\mathrm{\&}Write$, $\text{textsc}LongWriter$), but study of such framework in ultra long novel(>1M words) reconstruction is little. Building on recent text compression methods ($\text{textsc}LLMZip$, $\text{textsc}LLM2Vec$), we conduct an information-theoretic analysis to quantify semantic distortion under different compression-expansion ratios. We examine how outline length affects information preservation. Experiments on ultra-long novels show that the optimal compression-expansion ratio significantly reduces semantic distortion compared to other non-optimal compression-expansion ratio.