Solved
13,235
87.1% coverage
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Research in progress
Observatory is preparing and verifying real benchmark data. Public numbers will be released only after that verification is complete. Placeholder and test results stay hidden until then.
Theory-aware optimization
Optimal models, lexicographic and Pareto objectives, and MaxSMT over rich background theories.
Domain-native results grouped by objective family
| objective family | Family | Solved | Coverage | Δ solved | Median | Best baseline | Status |
|---|---|---|---|---|---|---|---|
| OMT(LIA) | Integer objectives | 3,808of 4,200 | 90.7% | +48 | 2.18 s | OptiMathSAT | stable |
| OMT(LRA) | Rational objectives | 3,162of 3,520 | 89.8% | +31 | 1.42 s | νZ | stable |
| OMT(NIA) | Nonlinear integer objectives | 2,016of 2,480 | 81.3% | +54 | 8.64 s | OptiMathSAT | experimental |
| OMT(NRA) | Nonlinear real objectives | 1,477of 1,890 | 78.1% | +37 | 11.20 s | cvc5 | research |
| MaxSMT | Weighted soft constraints | 2,772of 3,110 | 89.1% | +29 | 3.05 s | Open-WBO | stable |
Coverage on comparable experiments only
What moved this domain
Pareto optimization now shares the same theory engines as SMT.
Domain-native outcome classes
What makes this view reproducible