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C.11.CRC:8 - Common Anti-Patterns and Repairs
| Anti-pattern | Repair |
| Candidate value is constant across configurations | Name S0, interactions, horizon, and affected Systems. |
| Average benefit chooses the next element | Preserve result/resource vectors and return the comparison to C.11. |
| Derivative times step equals finite contribution | State smoothness region and remainder or perform the finite comparison. |
| Shadow price equals asset value | Keep the local active-constraint result and model the finite intervention separately. |
| Functional stationarity proves physical optimality | Use C.29, physical/domain evidence, sufficiency checks, and validation. |
| Variational inference is calculus of variations or “learning” | Recover the target distribution, approximation family, objective, returned approximation, and diagnostics. |
| More information is already more capability or value | Treat information as a decision input and test the target result separately. |