LLM-driven multi-agent search can discover seismic reconstruction algorithms that outperform classical methods without requiring neural networks at inference time

Starting from a classical reconstruction algorithm, an LLM-driven multi-agent search modifies only the components that the user has opened for editing, without prescribing the mechanism to be discovered. Candidates that violate the physical constraints of the task are rejected outright, and the remaining ones are scored by execution. The output is neither an agent system nor a neural network, but a standalone white-box algorithm that requires no agent or neural network at inference time.

http://arxiv.org/abs/2608.18272v1