3DVerifierBench
Harbor adapterDVerifierBench Grounding Generative Verification in 3D ContentShuanglin Li, Jiaying Lin, Shuquan Ye.
- Samples
- 2,581
- Released
- 2026
- Scores
- 10
Video2World
Video2World: Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos
A benchmark of 222 instances from 189 videos evaluating coding agents on autonomous video-to-simulation via geometric fidelity, dynamic fidelity, and functional correctness.
How to run
ltb · video2world
$ npm i -g lettokenburn-cli$ ltb bench info video2world
External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
9 sourced entries| Harness | Source | Confidence | Link | |||
|---|---|---|---|---|---|---|
| Claude Fable 5.1 | 48.5 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| GPT-6 Astra | 43.5 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| Claude Opus5 | 41.6 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| Kimi K3 | 33.2 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| GPT-5.6 Sol | 31.0 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| DeepSeek V4.1 Flash | 30.5 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| Gemini 3.8 Flash | 30.1 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| Qwen3.8 Max 0902 | 26.6 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
| GLM-5.3 Flash | 25.7 | N/A | Independent | medium | Oct 3, 2026 | arxiv.org |
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
All runsLoading community runs…
About
Video2World comprises 222 reconstruction instances derived from 189 robot and human demonstration videos. It pairs embodied videos with target simulator environments to evaluate end-to-end world modeling.
Scoring uses geometric fidelity, dynamic fidelity, and functional correctness. Evaluations show frontier agents achieve under 15% task success, revealing a gap between visual realism and factual correctness.