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Add curated measured coffee pilot with captures, diagnosis and licenses

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  1. CODE-LICENSE.txt +21 -0
  2. PROVENANCE.md +7 -0
  3. README.md +29 -0
  4. coffee-pilot/NVIDIA-ASSET-LICENSE.txt +396 -0
  5. coffee-pilot/README.md +27 -0
  6. coffee-pilot/candidate-front.png +3 -0
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CODE-LICENSE.txt ADDED
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+ MIT License
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+
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+ Copyright (c) 2026 Chris von Csefalvay
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
PROVENANCE.md ADDED
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+ # Sources and licenses
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+
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+ SimReady Bench source is licensed under [MIT](LICENSE).
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+
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+ Reference assets come from [NVIDIA SimReady Assets](https://huggingface.co/datasets/nvidia/simready-assets/tree/f4860aa0c75607adb50a78bf96e77510bffc040f), pinned to revision `f4860aa0c75607adb50a78bf96e77510bffc040f`. Import verifies NVIDIA's package metadata and bill of materials. Asset license and source information accompany each imported package.
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+
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+ [Harbor](https://github.com/harbor-framework/harbor) runs the agent tasks. NVIDIA SimReady, Isaac Sim, OpenUSD, container images and other dependencies retain their own licenses. External runtime images and reference packages are acquired separately. The bundled box and pallet are original demonstration assets.
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: other
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+ license_name: mixed-mit-and-nvidia-source-license
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+ license_link: https://huggingface.co/datasets/chrisvoncsefalvay/simreadybench-results/blob/main/coffee-pilot/NVIDIA-ASSET-LICENSE.txt
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+ pretty_name: SimReadyBench Results
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+ ---
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+ # SimReadyBench Results
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+
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+ **SimReadyBench: Testing and Training Models, Harnesses and Skills for Simulation Ready Asset Generation.**
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+
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+ Author: [Chris von Csefalvay](https://github.com/chrisvoncsefalvay). Code and protocol: [SimReadyBench](https://github.com/chrisvoncsefalvay/simreadybench). This is a private review archive.
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+
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+ ## Contents and scope
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+
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+ `coffee-pilot/` contains one actual RC15 reconstruction using `google/gemma-4-31B-it:novita` through Hugging Face, Pi 0.85.1 and no skills. It includes measured result JSON, the input view, 77 saved capture PNGs, a progress figure, actual numeric verifier-feedback delivery evidence, diagnosis, checksums and the unchanged final generated USD. It contains no hidden source USD or private raw provider traces.
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+
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+ The pilot scored 78.4783/100 on the mandatory NVIDIA profile (38/46); strict acceptance was false. Shape, rigid-part, joint and material fidelity scored zero. Geometry coverage was 100%; material coverage was 83.33%. Thirty-two outbound requests yielded 22 successful responses and ten HTTP 429 overloads. Original intermediate unknowns remain unchanged.
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+
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+ The canonical protocol is 25 assets × four repeats = 100 attempts per model/harness/skill combination. **This archive is not a completed canonical study or ranking.** RC16 prospective retry controls were tested separately without another paid model run. The reward API supports external training; no RL trainer or training result is included.
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+
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+ ## Reproduction
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+
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+ Use the repository's pinned manifests and Python 3.12 installation instructions. Reference source packages are acquired directly from [NVIDIA's immutable Hugging Face revision](https://huggingface.co/datasets/nvidia/simready-assets/tree/f4860aa0c75607adb50a78bf96e77510bffc040f) and verified against their original BOM and benchmark checksums. Do not infer physical ground truth or full material support from source conformance.
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+
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+ ## Licenses and limitations
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+
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+ Benchmark code is MIT licensed. NVIDIA assets and derived reference imagery retain their original attribution and license in `coffee-pilot/NVIDIA-ASSET-LICENSE.txt`. The generated candidate is preserved as submitted, without repair. Usage-cost figures are estimates, not invoices. Historical resource metrics were unavailable; a latest sample does not establish peaks. See `coffee-pilot/diagnosis.md` and `README.md` for evidence scope. No paper, DOI, affiliation or full-model ranking is claimed.
coffee-pilot/NVIDIA-ASSET-LICENSE.txt ADDED
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coffee-pilot/README.md ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Coffee-cup pipeline pilot
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+
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+ Gemma 4 31B (`google/gemma-4-31B-it:novita`), Pi 0.85.1, no skills, NVIDIA coffee-cup source, RC15 frozen scoring. This is one rate-limit-affected attempt, not a canonical25 ranking or a completed32-successful-turn baseline.
4
+
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+ | Outcome | Measured result |
6
+ |---|---:|
7
+ | NVIDIA compliance |78.47826086956522/100 |
8
+ | Mandatory IDs passed |38/46 |
9
+ | Strict acceptance |false |
10
+ | Shape / rigid parts / joints / materials fidelity |0 /0 /0 /0 |
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+ | Geometry / material coverage |100% /83.33% |
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+ | Outbound requests |32 |
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+ | HTTP200 /429 |22 /10 |
14
+ | Successful native model turns / tool calls |22 /24 |
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+ | Agent validation calls |1 |
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+ | Reported input / output tokens |186938 /3879 |
17
+ | Estimated HF usage, not invoice |$0.02772292 |
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+
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+ [Chronological contact sheet](progress-contact-sheet.png) includes the original task input, reference, final output and every even successful turn. Turn2 has no candidate; later rendered candidates occupy only a few pixels under the fixed reference camera. The reference/candidate camera and authored scale are preserved. Illustrations are unscored and may approximate MDL appearance.
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+
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+ `result.json` preserves fixed-denominator per-turn results. Turns3–14 are unknown because the NVIDIA SDK did not invoke all mandatory rules on that saved state; the score is not interpolated or fabricated. The terminal state has a known numeric score delivered unchanged to Harbor. `captures/` contains77 additional PNGs, and `submission/asset.usd` is the unchanged generated submission. Raw private traces and hidden reference USD are not included.
22
+
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+ The10 error bodies report `server_overload`; all 22 successful streams include usage and DONE. Retries consumed outbound slots. A later local quota denial made no HF request. Full artifact export and sandbox deletion were confirmed. Latest CPU/RAM/disk metrics exist; historical telemetry retrieval failed. RC16 adds a prospective coordinated retry path verified with deterministic tests, without rewriting this run or launching a paid repeat.
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+
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+ Source imagery: NVIDIA SimReady Assets, revision `f4860aa0c75607adb50a78bf96e77510bffc040f`, CC BY4.0; original license in [NVIDIA-ASSET-LICENSE.txt](NVIDIA-ASSET-LICENSE.txt). Storm renders are illustrative adaptations; the task input PNG is unchanged. The generated candidate is identified separately from NVIDIA's reference.
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+
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+ [Diagnosis, empty-stage adapter correction and telemetry fallback](diagnosis.md) distinguish candidate failures from integration defects. [Actual model feedback](validation-feedback.json) proves numeric reward delivery before final submission.
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