When Do Autoregressive Sequence Models Forecast Physical Wavefields? A Controlled Study on Synthetic Seismograms

arXiv:2606.10868 · cs.LG, astro-ph.IM · Submitted 2026-06-09 · Read on arXiv

cs.LG, astro-ph.IM

Submitted: 2026-06-09

Updated: 2026-08-27

Terminology

• Ablation — 40× in this paper · explained in 1 episode
• Transformer — 16× in this paper · explained in 2 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Tokenization — 5× in this paper · explained in 2 episodes
• Time Series Forecasting — 4× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Exposure Bias — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• In International Conference on Learning Representations — 3× in this paper
• Ablation study — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 13 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• International Conference on Machine Learning — 1× in this paper
• Multi-Layer Perceptron — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• Layer Normalization

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