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metadata 
license: other
license_name: mixed-upstream-terms
viewer: false
pretty_name: FrontierPhysics — Multi-Object Visual Inverse Dynamics
language:
  - en
tags:
  - frontierphysics
  - physics
  - system-identification
  - mosiv
size_categories:
  - n<1K

FrontierPhysics: Multi-Object Visual Inverse Dynamics

Pinned copies of the upstream files used by multi-object-visual-inverse-dynamics in FrontierPhysics, hosted by BenchFlow. The task's image build and its verifier download these files from this repository instead of the upstream dataset.

This repository holds the ten two-object scenes the task uses: 2objs/{01,02,04,06,23,24,26,45,56,67}.zip. Each archive is byte-identical to the same path in Hanibel/MOSIV at revision bc1e42d3587420765965f6a27b92b4d9fe8bb987. MANIFEST.sha256 lists their SHA-256 digests in sha256sum -c format, and the task's verifier/reference_manifest.json pins each archive's size and digest.

The archives include the hidden evaluation frames and point clouds. FrontierPhysics uses them only in its verifier, and its image build exposes only the observed interval. The task's agent sandbox blocks this repository.

Oracle artifacts

oracle/ holds oracle-only material. The task's agent sandbox blocks this repository.

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 at revision 14728ead9fe68215bbf7fd3f1f977c8979c153a4. oracle/pretrained/README.md lists them, and oracle/pretrained/LICENSES.md holds their licence notices.

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.

Path Content
oracle/pretrained/ Trained models for all ten scenes, used by the task's Oracle; see oracle/pretrained/README.md
oracle/scene_01.zip Scene 01: retained submission, model and trajectory; passed the task verifier in the author's check
oracle/scene_24.zip Scene 24: retained submission, model and trajectory; passed the task verifier in the author's check
oracle/retained_current_results.json The author's verifier record for both packages
oracle/MOSIV_training_pipeline_main.zip Training and evaluation source of the task oracle
oracle/upstream/ The author's README, integration notes, licence notes, manifest and agent denylist
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

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.

Download

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 have not changed since commit 98974d4d2e76868b674605dfa6c9856806134181. This card and MANIFEST.sha256 were added after that commit.

from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="benchflow/frontierphysics-multi-object-visual-inverse-dynamics",
    repo_type="dataset",
    revision="98974d4d2e76868b674605dfa6c9856806134181",
    filename="2objs/01.zip",
)

Attribution and licence

The MOSIV data (2objs/) is released under the MIT licence by its authors.

  • Pretrained Oracle models (oracle/pretrained/): trained by the task author, Yizhou Zhao, 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. oracle/pretrained/LICENSES.md has the full notices.

Please cite MOSIV:

@misc{liu2026mosivmultiobjectidentificationvideos,
      title={MOSIV: Multi-Object System Identification from Videos},
      author={Chunjiang Liu and Xiaoyuan Wang and Qingran Lin and Albert Xiao and Haoyu Chen and Shizheng Wen and Hao Zhang and Lu Qi and Ming-Hsuan Yang and Laszlo A. Jeni and Min Xu and Yizhou Zhao},
      year={2026},
      eprint={2603.06022},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2603.06022},
}

Browse the FrontierPhysics task datasets collection.