The Experiential-Factual Geometric Divide is a Universal Property of Language Representation: Evidence Across 16 Systems

This record contains the full replication package for the paper"The Experiential-Factual Geometric Divide is a Universal Propertyof Language Representation: Evidence Across 16 Systems" (Blaschuk, 2026). We demonstrate that the Experiential-Factual (E-F) geometric divideemerges independently across 16 fundamentally different representationalsystems with LDA cross-validation accuracy 0. 866-1. 000 (mean 0. 957), all permutation p = 0. 001 (1000 permutations). Systems tested include7 LLM architectures spanning 2019-2024 (GPT-2-XL, OPT, Falcon, Mistral, Gemma-2, Llama-3. 1, Phi-3), a general text corpus (The Pile, sentence-BERT), poetry vs news, clinical narratives vs news, emotional language vs news/ArXiv/Wikipedia, and children's stories (TinyStories) vs news/ArXiv/Wikipedia. Cross-architecture Spearmancorrelation of E-F category profiles yields mean rho = 0. 874 (range 0. 831-0. 913), confirming that different LLMs independentlyencode the same geometric structure. Contents: BlaschukEFUniversality₂026. pdf — full paper efᵤniversalityᵣeplication. py — end-to-end replication pipeline (Python) efᵤniversalityᵣesultsᵥ3. pkl — full numerical results (16 systems) figᵤniversality₁6systems. png — main figure, all 16 systems fig1crossarchₕeatmap. png — Spearman correlation matrix 7x7 fig2ᵤniversality. png — LDA across initial 10 systems fig3ₚermutation. png — permutation test histograms This work is part of the DSAOP research series and builds directly on: Alieksieienko (2026), DOI: 10. 5281/zenodo. 19160334 Alieksieienko (2026), DOI: 10. 5281/zenodo. 19415238 Blaschuk (2026), DOI: 10. 5281/zenodo. 19455867 Blaschuk (2026), DOI: 10. 5281/zenodo. 19556416