cb.fabric-cell-boundaries

Separating Fabric cell logic from backend execution requires enforcing strict boundary policies that keep cell semantics isolated from backend ownership. This prevents semantic leakage when modifying cell declarations, population configs, or local math across pure-PyTorch, CUDA, and Triton backends.

A Fabric cell boundary violation occurs when cell-level semantics leak into backend execution ownership. This happens when backend implementations become aware of cell semantics instead of remaining agnostic, violating the separation enforced during cell declaration and population config updates.

To update Fabric cell declarations safely without cross-boundary leakage, inspect the live Fabric API to identify potential violations and adjust the declarations. This ensures semantic ownership remains with the Fabric layer while the backend stays agnostic to cell semantics.

Yes, the Fabric cell boundary policy applies across pure-PyTorch, CUDA, and Triton backends. It validates cell-level versus backend ownership and codifies boundary rules to ensure backend execution remains agnostic to cell semantics regardless of the specific backend implementation.

You need to validate cell-level versus backend ownership when making changes to Fabric cell declarations, population configs, or local cell math. This validation prevents semantic leakage and maintains strict separation between Fabric cell semantics and backend execution policy.