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World Embedding Benchmark

Paper recorded by Signals 4 on 2026-10-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CL · 自然语言处理 · first seen 2026-10-05

Abstract

Physical fidelity has received increasing attention in world models and video generation, yet how video representations encode physical information remains less understood. We introduce the World Embedding Benchmark, comprising 8,000 controlled simulation cases from 80 families spanning fluid mechanics, solid mechanics, dynamics, and optics & electromagnetism. Each case pairs a rendered video with

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#334 most recent of 660 cs.CL papers we have recorded · ↑ newer: Language Models that Play Chess and Explain Their Moves · ↓ older: Writerslogic at the CLEF 2026 SimpleText Track: Multi-Candidate LLM Si
Cite this page: World Embedding Benchmark: the #334 most recent of 660 cs.CL papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/world-embedding-benchmark.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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