arxiv
PublishedOctober 15, 2026 at 4:00 AM
Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction
Publisher summary· verbatim
arXiv:2610.19552v1 Announce Type: new Abstract: Foundation models for dynamical systems can forecast unseen partial differential equations (PDEs), ordinary differential equations (ODEs), and time series during inference. However, it remains an open question whether these foundation models truly lear
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivAn AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response10harxivLearning Transferable Latent User Preferences for Human-Aligned Decision Making10harxivRepair the Core, Not the Symptom: Planning-Graph Repair for Long-Horizon Agents10harxivIndustryForge-27B: A Domain-Enhanced Multimodal Foundation Model for Industrial CAD10hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗