SPIN Unprocessed October 23, 2026 ai_technology research
GAV: A scientific experimentation environment for PDE agents
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arXiv:2610.30292v1 Announce Type: new Abstract: Reliable feedback is essential for coding agents to develop programs for partial differential equations (PDEs). Yet evaluating these programs on new PDE problems often requires expensive reference computations, while fixed datasets restrict the range of experiments. We introduce Generator-Agent-Verifier (GAV), a scientific experimentation environment that makes new PDE problems verifiable by construction. The Generator learns a distribution of cont
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