Constrained Audit Layer

How it works

Risks & contraindications

Comparisons

Evidence quality

Highlighted claims

• The audit layer cannot fit Hamiltonians, update likelihoods, alter posteriors, bypass kinematic checks, or emit arbitrary coordinates. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
• The audit layer can only choose between log-GP active mode and physics mode and nominate pre-vetted audit points. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
• Audit ablations indicate that constrained falsification, not LLM use itself, is the active ingredient. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
• The LLM audit layer was tested only under bounded menus and strict guardrails rather than as an unconstrained scientific reasoner. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
• The strategic audit layer is implemented as a constrained LLM committee. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
• In two-model ghost-optic and bilayer cases, deterministic max-disagreement performed as well as or better than the LLM under identical constraints. — Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy