| CONST-01 | All merge operations are tensor-level, not architecture-level | Guarantees mathematical correctness and reproducibility |
| CONST-02 | Compatibility analysis precedes every merge | Prevents silent failures from mismatched shapes or tokenizers |
| CONST-03 | Safetensors is the primary artifact format | Enables memory-mapped loading, fast I/O, and security scanning |
| CONST-04 | Every artifact is signed with ed25519 | Establishes non-repudiable provenance for supply chain integrity |
| CONST-05 | The Hidden Test Set is never used by EvolutionEngine | Prevents overfitting the evolutionary search to test data |
| CONST-06 | Benchmark splits are immutable after experiment creation | Ensures reproducibility and prevents data leakage |
| CONST-07 | Evaluation results are tagged with evidence levels | Distinguishes established research from experimental hypotheses |
| CONST-08 | Multi-objective optimization uses Pareto dominance | Captures trade-offs between accuracy, size, latency, and safety |
| CONST-09 | Population diversity is enforced at every generation | Prevents premature convergence in evolutionary search |
| CONST-10 | Candidate models pass regression tests before promotion | Guarantees that merged models do not degrade base capabilities |
| CONST-11 | Experiment state transitions are append-only logs | Provides complete audit trails for every experiment |
| CONST-12 | Model lineage is tracked from import through deployment | Enables rollback, attribution, and compliance reporting |
| CONST-13 | Enterprise mode operates without external network access | Satisfies air-gapped deployment requirements |
| CONST-14 | Semantic versioning applies to all Enterprise Models | Communicates breaking changes and compatibility guarantees |
| CONST-15 | Documentation precedes implementation for every component | Enforces design clarity and reduces technical debt |
| CONST-16 | All algorithms are specified with Mermaid flowcharts before coding | Ensures shared understanding between research and engineering |
| CONST-17 | Python 3.11 is the reference runtime | Standardizes the development environment and dependency graph |
| CONST-18 | PyTorch is the reference tensor engine | Provides the de facto standard for open-weight model operations |
| CONST-19 | GPU orchestration is explicit, not implicit | Prevents resource contention and enables cost accounting |
| CONST-20 | Failure modes are documented before mitigation code | Ensures that safeguards address real, identified risks |