Derived from arXiv:2607.17269 - An Explicit World Model Based on Data-First Ontology: DaoQL Multimodal Storage Validation and Counterfactual Reasoning Evaluation
Scanned 9/11/2026
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# An Explicit World Model Based on Data-First Ontology: DaoQL Multimodal Storage Validation and Counterfactual Reasoning Evaluation
Derived from arXiv:2607.17269 - An Explicit World Model Based on Data-First Ontology: DaoQL Multimodal Storage Validation and Counterfactual Reasoning Evaluation
## Core Concept
Large language models encode world models implicitly in neural weights, which exposes four structural risks in high-precision domains such as medicine and finance: hallucination, frozen knowledge, poor explainability, and poor modifiability. This paper proposes data-first ontology: LLMs are treated as reasoning and language engines, while deterministic knowledge is moved into an explicit multimodal database, DaoQL. We formalize an explicit world model and show that, under rule independence, dete...
## Key Insights
- Derived from arXiv:2607.17269
- Published: 2026-07-19
- Utility Score: 1.00
- Authors: Zhanbo Li, Shifeng Wu, Xiangjin Meng et al.
## Activation
an-explicit-world-model-based-on-data-first-ontolo, 2607.17269
## References
- arXiv: https://arxiv.org/abs/2607.17269
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