Treat Health-Data Revocation as a Distributed Convergence Protocol

Short summary

A detailed proposal for treating health-data revocation as a distributed convergence protocol with per-grant epochs, durable tombstones, and complete ACK registries. Motivated by OpenAI's Health in ChatGPT announcement, it defines safety and liveness invariants and provides a failure-injection plan covering delayed imports, cache partitions, and crashed consumers. The article is an unexecuted design, not a description of OpenAI's actual architecture.

• •Revocation requires a protocol with per-grant epochs, not best-effort broadcasts
• •Safety (no stale reappearance) and liveness (eventual ACK) need separate acceptance checks
• •Failure-injection matrix covers delayed imports, duplicate revokes, cache partitions, and crashed consumers

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