Add licence notices for oracle/pretrained/ and correct its descriptions
Browse filesoracle/pretrained/LICENSES.md copies the task author's licence notices (yizhouz/frontierphysics-oracle-artifacts at db41dc05): the models were made with MIT-licensed code and code under the Inria/MPII GRAPHDECO research-only licence. The archives carry no licence files, so the README no longer says they do. Each package is described as a copy of the same-named file in the author's folder; the card's licence section, manifest description and pinning note are updated.
- README.md +10 -5
- oracle/README.md +2 -2
- oracle/pretrained/LICENSES.md +113 -0
- oracle/pretrained/README.md +4 -2
README.md
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---
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license:
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viewer: false
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pretty_name: FrontierPhysics — Multi-Object Visual Inverse Dynamics
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language:
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`oracle/` holds oracle-only material. The task's agent sandbox blocks this repository.
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`oracle/pretrained/` holds the trained model for each of the task's ten scenes. The task's default Oracle loads it: it downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved simulated trajectory again and recomputes the metrics, without training.
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The rest of `oracle/` is earlier material: replay packages of retained submissions from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and from BenchFlow's H100 runs, with their records. The pretrained Oracle does not use it.
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| `oracle/upstream/` | The author's README, integration notes, licence notes, manifest and agent denylist |
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| `oracle/benchflow-h100/scene_<id>.zip` | Scenes 02, 04, 06, 23, 26, 45, 56 and 67: BenchFlow's retained run of the task's training Oracle (one H100 per scene; unchanged except scene 56's `iter_cnt`) with the verifier's output for it; see `oracle/benchflow-h100/README.md` |
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`oracle/MANIFEST.sha256` and `oracle/provenance.json` list
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## Download
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Pin a full commit revision
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have not changed since commit `98974d4d2e76868b674605dfa6c9856806134181`. This card and
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`MANIFEST.sha256` were added after that commit.
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## Attribution and licence
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MOSIV is released under the MIT licence by its authors.
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```
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@misc{liu2026mosivmultiobjectidentificationvideos,
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---
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license: other
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license_name: mixed-upstream-terms
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viewer: false
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pretty_name: FrontierPhysics — Multi-Object Visual Inverse Dynamics
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language:
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`oracle/` holds oracle-only material. The task's agent sandbox blocks this repository.
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`oracle/pretrained/` holds the trained model for each of the task's ten scenes. The task's default Oracle loads it: it downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved simulated trajectory again and recomputes the metrics, without training. Each package is a byte-for-byte copy of the file of the same name in `pr242/` of the task author's [yizhouz/frontierphysics-oracle-artifacts](https://huggingface.co/datasets/yizhouz/frontierphysics-oracle-artifacts/tree/14728ead9fe68215bbf7fd3f1f977c8979c153a4/pr242) at revision `14728ead9fe68215bbf7fd3f1f977c8979c153a4`. `oracle/pretrained/README.md` lists them, and `oracle/pretrained/LICENSES.md` holds their licence notices.
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The rest of `oracle/` is earlier material: replay packages of retained submissions from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and from BenchFlow's H100 runs, with their records. The pretrained Oracle does not use it.
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| `oracle/upstream/` | The author's README, integration notes, licence notes, manifest and agent denylist |
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| `oracle/benchflow-h100/scene_<id>.zip` | Scenes 02, 04, 06, 23, 26, 45, 56 and 67: BenchFlow's retained run of the task's training Oracle (one H100 per scene; unchanged except scene 56's `iter_cnt`) with the verifier's output for it; see `oracle/benchflow-h100/README.md` |
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`oracle/MANIFEST.sha256` and `oracle/provenance.json` list every file copied from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and its upstream path; `oracle/pretrained/MANIFEST.sha256` and `packages.json` cover the pretrained packages; `oracle/benchflow-h100/MANIFEST.sha256` lists BenchFlow's packages. Source archives keep their original licences, including the GRAPHDECO notices for the Gaussian Splatting code.
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## Download
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Pin a full commit revision. The FrontierPhysics task files record the revisions they use: one for the data files, and one for `oracle/pretrained/` in `oracle/pretrained_manifest.json`. The data files
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have not changed since commit `98974d4d2e76868b674605dfa6c9856806134181`. This card and
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`MANIFEST.sha256` were added after that commit.
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## Attribution and licence
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The MOSIV data (`2objs/`) is released under the MIT licence by its authors.
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- **Pretrained Oracle models** (`oracle/pretrained/`): trained by the task author, Yizhou Zhao, with the MOSIV code (MIT) and code derived from [Gaussian Splatting](https://github.com/graphdeco-inria/gaussian-splatting), which is under the Inria and MPII GRAPHDECO licence: research and evaluation use only. `oracle/pretrained/LICENSES.md` has the full notices.
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Please cite MOSIV:
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```
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@misc{liu2026mosivmultiobjectidentificationvideos,
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oracle/README.md
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`oracle/` holds oracle-only material. The task's agent sandbox blocks this repository.
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`oracle/pretrained/` holds the trained model for each of the task's ten scenes. The task's default Oracle loads it: it downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved simulated trajectory again and recomputes the metrics, without training.
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The rest of `oracle/` is earlier material: replay packages of retained submissions from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and from BenchFlow's H100 runs, with their records. The pretrained Oracle does not use it.
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| `oracle/upstream/` | The author's README, integration notes, licence notes, manifest and agent denylist |
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| `oracle/benchflow-h100/scene_<id>.zip` | Scenes 02, 04, 06, 23, 26, 45, 56 and 67: BenchFlow's retained run of the task's training Oracle (one H100 per scene; unchanged except scene 56's `iter_cnt`) with the verifier's output for it; see `oracle/benchflow-h100/README.md` |
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`oracle/MANIFEST.sha256` and `oracle/provenance.json` list
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`oracle/` holds oracle-only material. The task's agent sandbox blocks this repository.
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+
`oracle/pretrained/` holds the trained model for each of the task's ten scenes. The task's default Oracle loads it: it downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved simulated trajectory again and recomputes the metrics, without training. Each package is a byte-for-byte copy of the file of the same name in `pr242/` of the task author's [yizhouz/frontierphysics-oracle-artifacts](https://huggingface.co/datasets/yizhouz/frontierphysics-oracle-artifacts/tree/14728ead9fe68215bbf7fd3f1f977c8979c153a4/pr242) at revision `14728ead9fe68215bbf7fd3f1f977c8979c153a4`. `oracle/pretrained/README.md` lists them, and `oracle/pretrained/LICENSES.md` holds their licence notices.
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The rest of `oracle/` is earlier material: replay packages of retained submissions from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and from BenchFlow's H100 runs, with their records. The pretrained Oracle does not use it.
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| `oracle/upstream/` | The author's README, integration notes, licence notes, manifest and agent denylist |
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| `oracle/benchflow-h100/scene_<id>.zip` | Scenes 02, 04, 06, 23, 26, 45, 56 and 67: BenchFlow's retained run of the task's training Oracle (one H100 per scene; unchanged except scene 56's `iter_cnt`) with the verifier's output for it; see `oracle/benchflow-h100/README.md` |
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+
`oracle/MANIFEST.sha256` and `oracle/provenance.json` list every file copied from the author's revision `9ab8539baad4f84f4a418c60d21ead7462950ab8` and its upstream path; `oracle/pretrained/MANIFEST.sha256` and `packages.json` cover the pretrained packages; `oracle/benchflow-h100/MANIFEST.sha256` lists BenchFlow's packages. Source archives keep their original licences, including the GRAPHDECO notices for the Gaussian Splatting code.
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oracle/pretrained/LICENSES.md
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# Upstream source licences
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These notices are retained from the original code used by the saved models.
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## LICENSE_GRAPHDECO.md
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Gaussian-Splatting License
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===========================
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+
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**Inria** and **the Max Planck Institut for Informatik (MPII)** hold all the ownership rights on the *Software* named **gaussian-splatting**.
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+
The *Software* is in the process of being registered with the Agence pour la Protection des
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Programmes (APP).
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+
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The *Software* is still being developed by the *Licensor*.
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+
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*Licensor*'s goal is to allow the research community to use, test and evaluate
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the *Software*.
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## 1. Definitions
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+
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*Licensee* means any person or entity that uses the *Software* and distributes
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its *Work*.
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+
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*Licensor* means the owners of the *Software*, i.e Inria and MPII
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+
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*Software* means the original work of authorship made available under this
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License ie gaussian-splatting.
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+
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*Work* means the *Software* and any additions to or derivative works of the
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*Software* that are made available under this License.
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+
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+
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## 2. Purpose
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This license is intended to define the rights granted to the *Licensee* by
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Licensors under the *Software*.
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+
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## 3. Rights granted
|
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+
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For the above reasons Licensors have decided to distribute the *Software*.
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Licensors grant non-exclusive rights to use the *Software* for research purposes
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+
to research users (both academic and industrial), free of charge, without right
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to sublicense.. The *Software* may be used "non-commercially", i.e., for research
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+
and/or evaluation purposes only.
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+
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Subject to the terms and conditions of this License, you are granted a
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| 46 |
+
non-exclusive, royalty-free, license to reproduce, prepare derivative works of,
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+
publicly display, publicly perform and distribute its *Work* and any resulting
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+
derivative works in any form.
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+
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+
## 4. Limitations
|
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+
|
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+
**4.1 Redistribution.** You may reproduce or distribute the *Work* only if (a) you do
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+
so under this License, (b) you include a complete copy of this License with
|
| 54 |
+
your distribution, and (c) you retain without modification any copyright,
|
| 55 |
+
patent, trademark, or attribution notices that are present in the *Work*.
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| 56 |
+
|
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+
**4.2 Derivative Works.** You may specify that additional or different terms apply
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| 58 |
+
to the use, reproduction, and distribution of your derivative works of the *Work*
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| 59 |
+
("Your Terms") only if (a) Your Terms provide that the use limitation in
|
| 60 |
+
Section 2 applies to your derivative works, and (b) you identify the specific
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| 61 |
+
derivative works that are subject to Your Terms. Notwithstanding Your Terms,
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+
this License (including the redistribution requirements in Section 3.1) will
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+
continue to apply to the *Work* itself.
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+
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**4.3** Any other use without of prior consent of Licensors is prohibited. Research
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+
users explicitly acknowledge having received from Licensors all information
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+
allowing to appreciate the adequacy between of the *Software* and their needs and
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+
to undertake all necessary precautions for its execution and use.
|
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+
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**4.4** The *Software* is provided both as a compiled library file and as source
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+
code. In case of using the *Software* for a publication or other results obtained
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+
through the use of the *Software*, users are strongly encouraged to cite the
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+
corresponding publications as explained in the documentation of the *Software*.
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+
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## 5. Disclaimer
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+
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THE USER CANNOT USE, EXPLOIT OR DISTRIBUTE THE *SOFTWARE* FOR COMMERCIAL PURPOSES
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WITHOUT PRIOR AND EXPLICIT CONSENT OF LICENSORS. YOU MUST CONTACT INRIA FOR ANY
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UNAUTHORIZED USE: stip-sophia.transfert@inria.fr . ANY SUCH ACTION WILL
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CONSTITUTE A FORGERY. THIS *SOFTWARE* IS PROVIDED "AS IS" WITHOUT ANY WARRANTIES
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OF ANY NATURE AND ANY EXPRESS OR IMPLIED WARRANTIES, WITH REGARDS TO COMMERCIAL
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+
USE, PROFESSIONNAL USE, LEGAL OR NOT, OR OTHER, OR COMMERCIALISATION OR
|
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ADAPTATION. UNLESS EXPLICITLY PROVIDED BY LAW, IN NO EVENT, SHALL INRIA OR THE
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AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE
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GOODS OR SERVICES, LOSS OF USE, DATA, OR PROFITS OR BUSINESS INTERRUPTION)
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HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING FROM, OUT OF OR
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IN CONNECTION WITH THE *SOFTWARE* OR THE USE OR OTHER DEALINGS IN THE *SOFTWARE*.
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+
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## 6. Files subject to permissive licenses
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The contents of the file ```utils/loss_utils.py``` are based on publicly available code authored by Evan Su, which falls under the permissive MIT license.
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Title: pytorch-ssim\
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Project code: https://github.com/Po-Hsun-Su/pytorch-ssim\
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Copyright Evan Su, 2017\
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License: https://github.com/Po-Hsun-Su/pytorch-ssim/blob/master/LICENSE.txt (MIT)
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## THIRD_PARTY_NOTICES.md
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# Third party notices
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+
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Files that retain an Inria GRAPHDECO copyright header are derived from the
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Gaussian Splatting research implementation and are distributed under
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`LICENSE_GRAPHDECO.md`. This includes the Gaussian renderer, the scene and
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camera infrastructure, the Gaussian training entry point, and the associated
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utility files.
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`utils/sh_utils.py` retains the PlenOctree BSD style notice in the source file.
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+
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The remaining MOSIV extraction is distributed under `LICENSE`. Both license
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files apply to their respective portions of this mixed source package.
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oracle/pretrained/README.md
CHANGED
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# Pretrained Oracle models
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-
The trained models that the task's default Oracle loads, one package per scene (ten scenes). Each `scene_*.zip` is a byte-for-byte copy of `pr242/`
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A package holds the trained Gaussian appearance, the saved native simulation trajectory, the fitted physical parameters, the configuration and source records, and the reference submission (`paper.pdf`, `solution/` and `results/`, without rendered frames; `results/metrics.json` is a placeholder). The Oracle (`bash /oracle/solve.sh`, `ORACLE_MODE=pretrained`) downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved trajectory again on the GPU and recomputes the metrics. It does not train or resimulate. The task's `oracle/pretrained_manifest.json` pins the revision, size and SHA-256 of each package.
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@@ -17,6 +17,8 @@ A package holds the trained Gaussian appearance, the saved native simulation tra
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| 56 | `scene_56.zip` | 39757678 | `90ddbab768035164e05ae35fa050ebda9abf28e3cb745ac341d8956f018c93d7` |
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| 67 | `scene_67.zip` | 52769067 | `803dafa0ef18afa76a0f67ab2cee60f5774a702816407fee666134e0bf46f880` |
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-
`MANIFEST.sha256` lists the digests in `sha256sum -c` format. `packages.json` records each package's source path and the author's notes on how it was produced.
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Oracle-only material: the task's agent sandbox blocks this repository.
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# Pretrained Oracle models
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+
The trained models that the task's default Oracle loads, one package per scene (ten scenes). Each `scene_*.zip` is a byte-for-byte copy of the file of the same name in `pr242/` of the task author's [yizhouz/frontierphysics-oracle-artifacts](https://huggingface.co/datasets/yizhouz/frontierphysics-oracle-artifacts/tree/14728ead9fe68215bbf7fd3f1f977c8979c153a4/pr242) at revision `14728ead9fe68215bbf7fd3f1f977c8979c153a4`; the files are unchanged at its later revision `db41dc0557e07028c0dc74d83ad1c42b9cf346bd`. The author is Yizhou Zhao.
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A package holds the trained Gaussian appearance, the saved native simulation trajectory, the fitted physical parameters, the configuration and source records, and the reference submission (`paper.pdf`, `solution/` and `results/`, without rendered frames; `results/metrics.json` is a placeholder). The Oracle (`bash /oracle/solve.sh`, `ORACLE_MODE=pretrained`) downloads the package for its assigned scene from a pinned revision of this repository, checks its size and SHA-256, renders the saved trajectory again on the GPU and recomputes the metrics. It does not train or resimulate. The task's `oracle/pretrained_manifest.json` pins the revision, size and SHA-256 of each package.
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| 56 | `scene_56.zip` | 39757678 | `90ddbab768035164e05ae35fa050ebda9abf28e3cb745ac341d8956f018c93d7` |
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| 67 | `scene_67.zip` | 52769067 | `803dafa0ef18afa76a0f67ab2cee60f5774a702816407fee666134e0bf46f880` |
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`MANIFEST.sha256` lists the digests in `sha256sum -c` format, with paths from the repository root. `packages.json` records each package's source path and the author's notes on how it was produced.
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The archives carry no licence files. `LICENSES.md` is a copy of the author's `pr242/LICENSES.md` (revision `db41dc05`). The models were made with the MOSIV code (MIT) and code derived from Gaussian Splatting, which is under the Inria and MPII GRAPHDECO licence: research and evaluation use only, not commercial use. The same notices, and the MOSIV MIT licence text, are in the task's `oracle/reference/training-pipeline/source/mosiv/`.
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Oracle-only material: the task's agent sandbox blocks this repository.
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