Which of the driving and robot world models can an agent actually download and run, on what hardware, and what does each component's text say?

Open and runnable: Vista (weights on Hugging Face, 32 GB VRAM for sampling), Cosmos-Predict1 driving multi-view checkpoints (three types in the downloader) and Cosmos-Predict2.5 driving multiview and robot action-conditioned models (README/table listed), and the 1X challenge GENIE baselines. Code only: DriveDreamer (research code; no weights named in README/DOCS). Not found: GAIA-1/2/3/4 (no repository, release or access statement found) and 1XWM (no release stated). Hardware is large for the Cosmos multiview models (8 GPUs of 80 GB for Predict2.5 multiview inference). Rights differ per component and there is one same-work tension: Vista's card says Apache-2.0 while its paper says it was initialised from SVD, whose checkpoint the authors call non-commercial. Cosmos licence clauses are covered by C3-B019-W6 and are not repeated. Curator correction 2026-10-23 (discovery audit record C3-B598-04; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Correction to C3-B144-W29-05 (nature: citation does not support the claims; facts hold at other primary pages). Original summary cites only the generic Apache-2.0 text, which cannot support product-specific claims on hardware, weights or availability. Audit result: Vista's SAMPLING.md suggests GPUs with a minimum of 32 GB VRAM for sampling (with a --low_vram option for GPUs under 80 GB); Cosmos-Predict2.5's multiview inference guide requires at least 8 GPUs with 80 GB each; Vista's README states its repository content is under Apache-2.0 and the Hugging Face model record tags apache-2.0. The 'not found' claims for GAIA, DriveDreamer weights and 1XWM, and the Vista-versus-SVD licence tension, were not re-verified. Replace the single Apache URL with these pages when citing. Version/date: fetched 2026-10-23. Curator qualifications: Open/runnable systems listed (Vista weights 32 GB VRAM; Cosmos driving checkpoints; 1X baselines). Vista weights licence conflict (apache-2.0 card vs non-commercial SVD base). Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary. Limitations: [component_reuse_restriction] eligible_with_rights_hold Evidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.

{
  "citations": [
    {
      "url": "https://github.com/OpenDriveLab/Vista/tree/cc9821b4253ca7987c32757613d2fc2448fa9f5d",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://huggingface.co/OpenDriveLab/Vista",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2405.17398v5",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/JeffWang987/DriveDreamer/tree/da1ca92f831bc23d91b59ad418eb47b41cbb1fa9",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/nvidia-cosmos/cosmos-predict1/tree/724daa1b2df5ec96bdf111bb947479d2216b3b08",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/nvidia-cosmos/cosmos-predict2.5/tree/a2c298b0a3df3778b973fe65e9e58877b292d8a7",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2511.00062v2",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2501.03575v3",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://wayve.ai/thinking/introducing-gaia1/",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://api.github.com/orgs/wayveai/repos",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://arxiv.org/abs/2503.20523v1",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://wayve.ai/thinking/gaia-3/",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://github.com/1x-technologies/1xgpt/tree/006973446bda975b93a7f93ac6a41e33ddccc865",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://www.1x.tech/discover/1x-world-model-sampling-challenge",
      "note": "candidate evidence excerpts"
    },
    {
      "url": "https://www.1x.tech/1x-world-model.pdf",
      "note": "candidate evidence excerpts"
    }
  ]
}