OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning

Large Language Models (LLMs) have demonstrated exceptional logical reasoning capabilities but frequently struggle with the continuous spatiotemporal dynamics governed by Partial Differential Equations (PDEs), often resulting in non-physical hallucinations. Existing approaches typically resort to costly, domain-specific fine-tuning, which severely limits cross-domain generalization and interpretability. To bridge this gap, we propose OMNIFLOW, a neuro-symbolic architecture designed to ground froz

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ethics.ai (16 March 2026), “OMNIFLOW: A Physics-Grounded Multimodal Agent for Generalized Scientific Reasoning,” evidence record 7158, https://ethics.ai/record/7158 (originally published by arXiv).

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