SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models

arXiv:2610.12402 · cs.CV, cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Benchmark — 49× in this paper · explained in 2 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• GRPO — 10× in this paper · explained in 6 episodes
• World Model — 7× in this paper · explained in 7 episodes
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Grounding — 2× in this paper · explained in 3 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 1× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• Qwen3-VL Technical Report
• SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks
• World Models
• LoRA: Low-Rank Adaptation of Large Language Models
• ViewSpatial-Bench: Evaluating Multi-perspective Spatial Localization in Vision-Language Models
• SpaMEM: Benchmarking Dynamic Spatial Reasoning via Perception-Memory Integration in Embodied Environments
• SpaceR: Reinforcing MLLMs in Video Spatial Reasoning
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Visual Spatial Tuning
• Cambrian-S: Towards Spatial Supersensing in Video
• World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning
• DSI-Bench: A Benchmark for Dynamic Spatial Intelligence

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