An evidence-aware multi-engine mathematics runtime for LLMs. MathKernel performs exact, symbolic, formal, certified-interval and numeric computation with typed MathIR, trust labels and full provenance, so a model can hand off arithmetic it should not be doing itself.
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Route a calculation from the model to an exact or interval engine and return a labelled result.
Get a guaranteed error bound instead of a single floating point guess.
Keep provenance for each step so a result can be audited later.
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