A.3.4.P:5.2 - Neural-network block

Source wording says: “The attention block transforms activations in the model pipeline.”

Repair: the block may be an architecture locus or module allocation. Test any actor claim through the relevant branch below. If dated inference Work is claimed, recover each precise performer’s A.13 core and independently admit the Work under A.15.1; add F.6 only when precise assignment-bound attribution is current, and state the separate Work-to-activation relation required by the use. If a non-Work block action is claimed, recover the exact operation-application, functioning, causal, or other direct actor-side relation; otherwise leave action unresolved. A design organization, Method or Method family, toolchain, or communication System that shaped the block first keeps its exact kind and then only its exact architecture, Work, communication, constraint, or candidate-synthesis relation. Activation and tensor-shape claims use exact participant, port, operation-application, or signature relations; an episteme describing an admitted attention Method may be a MethodDescription under A.3.2; C.29 governs any separately selected mathematical-lens use. The pipeline may be a transformation-flow structure. Use the applicable evidence or evaluation pattern when relying on a benchmark or ablation result.