The verifiable record-of-training substrate for the agent era.
A vivid, audit-ready name for systems that generate cryptographically or structurally verifiable records of what a model was trained on and how.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Training · Cross-Vertical · 2 compound moats. Architectural surface: Training. Cross-cutting: Receipts.
Layer position: Cross-cutting
Why this is canonical
'Training receipts' brings the intuitive metaphor of a receipt — a timestamped, itemized record of a transaction — to the AI training context. The term captures both the accountability function (what did training consume?) and the verification function (can you prove it?). On .ai, this becomes a substrate-layer coordinate for the growing field of training auditability.
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.