Applications of a Dual-Path Implicit Physics Engine: Practical Extensions Beyond Physical Prediction
Abstract
Supplement to Riggleman (2026). The dual-path implicit physics engine evaluates scenarios through independent text and visual channels, treating disagreement as a signal. This supplement describes practical applications of that mechanism: robotics planning, hallucination detection in language models, scientific hypothesis exploration, and self-generating benchmark dataset creation. Each application traces to a specific architectural property. These are proposed research directions, not validated results.
Fields of Study & Subjects
Multimodal Machine Learning Applications
Natural Language Processing Techniques
Topic Modeling
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 March 2026
- Language
- EN
- Document type
- Preprint