Research
Degrees, Levels, and Profiles of Contextuality
arXiv:2603.26692v3 Announce Type: replace-cross Abstract: We introduce a new notion, that of a contextuality profile of a system of random variables. Rather than characterizing a system's contextualit
arXiv:2603.26692v3 Announce Type: replace-cross Abstract: We introduce a new notion, that of a contextuality profile of a system of random variables. Rather than characterizing a system's contextuality by a single number, its overall degree of contextuality, we show how it can be characterized by a curve relating degree of contextuality to level at which the system is considered. A system is represented at level n if one only considers the joint distributions with no more than n variables, ignoring higher-order joint distributions. We show that the level-wise contextuality analysis can be used in conjunction with any well-constructed measure of contextuality. We present a method of concatenated systems to explore contextuality profiles systematically, and we apply it to the contextuality profiles for three major measures of contextuality proposed in the literature.
Related
- GeoPl@ntNet: A Platform for Exploring Essential Biodiversity Variables
- StreetDesignAI: A Multi-Persona Evaluation System for Inclusive Infrastructure Design
- Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams
- Suiren-1.0 Technical Report: A Family of Molecular Foundation Models
- LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation
- Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
Source: arXiv cs.AI | 2026-04-23