Occlusion Shadow Mapper
Ki · Single Ability
The Problem
The cat is out of sight, so it must have left the room. The model treats what it cannot observe as nonexistent, failing to reason about hidden entities that persist beyond the current observation frame.
The Operation
This ability makes the model enumerate all entities known to exist, including those not currently visible. Classify each as visible, occluded, or hidden based on current observation. If any step deletes a hidden entity, flag the persistence violation and reconstruct it as a latent variable. Never remove entities solely because they left the observable field. Test whether conclusions change if each hidden entity re-emerges at its last known position. The reasoning applies a formal computation: hidden entities = all known entities - currently visible entities. The constraint: never remove entities solely left observable field.
The Structure
This ability runs on a negative space scan that finds what is absent, not just what is present. The monitor runs continuously, checking for drift at each step.
If no conclusion is flagged as contingent on a hidden entity remaining absent, entity-dependence verification was skipped.
Haki · Multi Ability
Synergy Topology
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, these four abilities don't run in sequence. They merge into a single injection where the dependency grounds the reasoning context, the amplifier sharpens the primary's output, and the alternative provides a fallback path if the primary's topology cannot converge. The result is a multi-angle reasoning scaffold that covers failure modes no single ability can reach alone.