The Delta Gap: Cellular World Models for Perturbation Response Prediction Are Far Harder Than Global Correlation Implies
arXiv:2611.10658v1 Announce Type: new Abstract: Cellular world models aim to predict how cells respond to genetic perturbations, analogous to world models in reinforcement learning. Perturbation response models are evaluated almost exclusively by global Pearson correlation between predicted and observed…
Excerpt provided by arXiv cs.AI via its public feed. Full reporting belongs to the original publisher.
Read the full story on arXiv cs.AI
Related coverage

The Decoder · 45m ago
Gemini 4 Carbon arrives just in time to feel like yesterdays news in the fastest model cycle yet

Ars Technica AI · 4h ago
DeepMind reveals Gemini Robotics 2.5 and open safety benchmark "ASIMOV-jailbreak"
Google DeepMind · 7h ago
Introducing AlphaProof Code: a breakthrough in verifying complex software at depth
OpenAI · 10h ago
Closing the AI guidance gap in education