AI RESEARCH
Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations
arXiv CS.AI
•
ArXi:2604.08863v1 Announce Type: new Recovering analytical solutions of physical fields from visual observations is a fundamental yet underexplored capability for AI-assisted scientific reasoning. We study visual-to-symbolic analytical solution inference (ViSA) for two-dimensional linear steady-state fields: given field visualizations (and first-order derivatives) plus minimal auxiliary metadata, the model must output a single executable SymPy expression with fully instantiated numeric constants. We.