Truth or Dare: Measuring the Geometry of Information with LLMs
This paper introduces a method for the mathematical, content-independent analysis of any narrative, an approach we call Epistemological Geometry. It treats the latent space of a Large Language Model (LLM) not as a source of narrative answers, but as a
Authors
- Esim Can
Publication Details
- Published
- 2025-08-26
- DOI
- https://doi.org/10.36227/techrxiv.175624444.41675314/v1
- Primary Topic
- Mathematics, Computing, and Information Processing
- Type
- article
- Field-Weighted Citation Impact
- 0.00