Record live ZeroGPU v14p route proof

README.md

@@ -24,7 +24,7 @@ Figment turns messy field intake into a card-cited protocol workflow: confirm th
 
 | Surface | Current evidence | What it means | Boundary |
 | --- | --- | --- | --- |
-| Public Space | [build-small-hackathon/figment](https://huggingface.co/spaces/build-small-hackathon/figment) is configured for `MODEL_BACKEND=hf_zerogpu` against the published v14p BF16 artifact. | The public route can call the same 4B v14p model archive used in the strongest small-model evidence bundle. | ZeroGPU has queue/quota limits; live route proof should include a fresh Space call and trace route. |
+| Public Space | [build-small-hackathon/figment](https://huggingface.co/spaces/build-small-hackathon/figment) was `RUNNING` on `zero-a10g` at Space commit `e06aaf664bb7a848dd5c1958050779ef3a9feb03` on 2026-06-15. A synthetic `/run_navigator` call returned `raw_route=hf_zerogpu`, `fallback_tier=configured`, `final_route=model_with_deterministic_patches`, and `validator.passed=true` in 36.16 seconds. | The public Space reaches the published v14p BF16 model archive through HF ZeroGPU and the validator passed on the returned response. | This is one live synthetic route check. Deterministic patches still contributed, so it is live serving proof, not pure model-only competence proof. |
 | Hosted Omni eval | `31/50` whole-output competence, `8/50` full fallback, `480/650` model-retained fields, `170/650` deterministic patches, and `50/50` final validation. | Hosted Omni can carry bounded fields, and the app can keep outputs inside the safety contract. | `50/50` final validation is app safety after validation, repair, and fallback. It is not pure model performance. |
 | 4B LoRA system eval | v14p repair-union on the corrected 150-case field-workflow holdout: `150/150` competence, `150/150` expected labels, `150/150` final validation, `0` deterministic patches, `0` fallback. Raw first-pass success is `146/150`; `4/150` cases close through focused model repair. | The strongest documented small-model result is model-owned output plus model repair on a synthetic/de-identified holdout. | This is not clinical validation, target-user validation, local ASR proof, or proof that raw first-pass output solved every case. |
 | Public artifacts | [model archive](https://huggingface.co/build-small-hackathon/figment-finetuned-model-archive) and [eval/training dataset](https://huggingface.co/datasets/build-small-hackathon/figment-eval-traces). | Versioned BF16/GGUF model artifacts, synthetic corpora, eval traces, and summaries are inspectable outside this checkout. | Generated `traces/`, `data/finetune/`, weights, and checkpoint folders are intentionally not part of a clean clone. |