Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders

arXiv:2609.31938 · cs.LG, cs.PF · Submitted 2026-09-25 · Read on arXiv

cs.LG, cs.PF

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

• Decode — 12× in this paper · explained in 2 episodes
• World Model — 9× in this paper · explained in 7 episodes
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Edge Deployment — 4× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Provenance — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Allocator — 1× in this paper · explained in 1 episode
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Edge Devices — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Computer Vision — 1× in this paper
• IEEE International Conference on Robotics and Automation — 1× in this paper
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Predictive Modeling — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• Cosmos World Foundation Model Platform for Physical AI
• Cosmos 3: Omnimodal World Models for Physical AI
• Advancing Open-source World Models
• Edge Computing and its Application in Robotics: A Survey
• Wan: Open and Advanced Large-Scale Video Generative Models
• vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models

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