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Review regressions before expanding the test." ], "measure": "Successful outcomes, response time, human rework, and total cost per successful task.", "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation." }, "builder_review": null, "arxiv_id": "2609.37733", "title": "Foundation Neural-Network Quantum States for Molecular Potential Energy Surfaces in Second Quantization", "summary": "The method replaces per-geometry independent optimization of neural-network quantum states with a single autoregressive model trained on sparse anchor geometries, using orbital alignment to enable zero-shot wavefunction evaluation at untrained geometries. 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