The canonical .com address for the neural attribution discipline.
A substrate-layer .com coordinate for tools, research, and platforms that trace neural AI outputs back to their causal origins — training data, model weights, or architectural features.
Matched pair · sold together
Held and transacted as one position. A matched .ai + .com pair forecloses its own most common confusable — one coordinate, not two names.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Primary home
Also appears in
Architectural context
Neural · Cross-Vertical · 2 compound moats. Architectural surface: Neural, Attribution.
Layer position: Cross-cutting
Why this is canonical
Neural attribution is the technical and legal discipline of establishing causal provenance for AI outputs. It spans mechanistic interpretability (which circuits caused this output?), data attribution (which training examples influenced this prediction?), and governance (what is the auditable evidence for this AI decision?). The .com TLD makes this the institutional-grade address for the discipline — suitable for a vendor, a research institute, or a standards body.
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.