A substrate-layer coordinate for tracing the origins and accountability of neural and cognitive AI outputs.
Where neural-system attribution meets mind-level reasoning — a foundational name for platforms building explainability, credit assignment, and cognitive accountability into AI systems.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Neural · Cross-Vertical · 2 compound moats. Architectural surface: Neural, Attribution.
Layer position: Cross-cutting
Why this is canonical
'Attribution' in the neural context names the live technical problem of tracing which inputs, weights, or reasoning steps produced a given output. The 'mind' framing elevates this to cognitive-level accountability — directly relevant to interpretability, AI safety, and responsible deployment.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.