Prospector: learning a compact graph traversal policy for scientific reasoning

Prospector is a compact model that learns to traverse a domain knowledge graph step by step, calling a small set of tools to build context and produce a chain of evidence that can be verified against the graph. Trained on a semiconductor‑manufacturing knowledge graph, it matches or surpasses off‑the‑shelf models that use the same graph and tools, and it also transfers to unseen graphs in bio‑inspired materials, PFAS, and materials properties. Running on a single GPU, Prospector is faster and cheaper than hosted services while keeping proprietary data on the owner’s hardware.

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