7x7x7 HOLOGRAPHIC LATTICE // PRIOR ART DISCLOSURE

1. THE 7-TIER COORDINATE SYSTEM

Unlike traditional vector databases that use flat indexes, the Lattice maps context into a 3D grid (X, Y, Z) where each axis represents a fundamental logical dimension.

                def enc7(v: int) -> int:
                return v + 3 # Maps -3..3 to 0..6

                def make_key(t, x, y, z):
                dx, dy, dz = enc7(x), enc7(y), enc7(z)
                r = max(abs(x), abs(y), abs(z)) # Calculate Shell Depth
                return f"T{t}-D{dx}{dy}{dz}-S{r}"

                def neighbors6(node_id: int) -> List[int]:
                # SPATIAL ADJACENCY LOGIC
                t, x, y, z = parts_from_node_id(node_id)
                for xx, yy, zz in ((x-1,y,z),(x+1,y,z),...):
                if -3 <= xx <=3: res.append(node_id_from_parts(t, enc7(xx), ...)) 

2. SHELL INFLUENCE & RECALL

Memory is retrieved based on "Shell Depth" (S0-S3). Nodes closer to the origin (S0) exert the strongest influence on current reasoning, while outer shells provide broader contextual nuance.

LATTICE_NODE_META

// NODE_ID: T0-D333-S0 (Absolute Origin)
// PERSISTENCE: Recursive write-back enabled
// RECALL: def recall(self, key, limit=3): ...
// TAGGING: Auto-semantic categorization (y- face)