C.34:11 - SoTA-Echoing
| Source or practice line | Adopt, adapt, or reject | Concrete C.34 locus and contribution | Boundary and currentness |
|---|---|---|---|
Yang et al., Structural Equivalence in Subgraph Matching, arXiv:2301.03161 | Adapt structural-equivalence and symmetry discipline. | Strengthens mappingMode, the weakest adequate mapping rule, and the warning against label or shape overread. | Subgraph structural equivalence does not define holon architecture equivalence outside declared structures and use. Reopen when the source graph, target graph, or use changes. |
Fong and Spivak, Seven Sketches in Compositionality, arXiv:1803.05316 | Adapt applied category-theory preservation language through C.29. | Keeps morphism, functor, sketch, and composition vocabulary tied to preserved structure, lost structure, mapping mode, and architecture use. | Older source is lineage and still useful as applied compositional practice, but it does not become the default FPF architecture ontology. |
| Multi-view architecture and MBSE query and view practice | Adopt the ordinary need for view correspondence, projection, query, and coarsening. | Adds view and description cases plus requires C.30.AD and C.30.ASV. | View output or query output is not architecture and not realized structure. Reopen when viewpoint, query rule, model edition, or described structure changes. |
| Sapunov, ToCS, and code-agent architecture-map practice | Adapt partial-observation preservation discipline. | Adds relation observation class, inferred edges, unexplored regions, confidence, and active-passive gap as preservation-lowering conditions. | A code-agent map, JSON probe, dependency F1, invariant F1, or active-passive gap does not prove architecture equivalence, safe change, assurance, gate passage, or release readiness. |
| GonzoML neural-network architecture intake | Adapt neural architecture operation language. | Adds dataflow, routing, memory placement, cache placement, resource boundary, block substitution, and affected-characteristic checks for neural structure substitution. | Neural labels, ablations, pruning masks, distillation success, or benchmark gains remain source cues until selected structures, preserved relations, lost relations, and the next architecture claim plus its required rule are recovered. |
State exactly what survives, what is lost, and what downstream use is licensed.