Language pretraining builds a generalizable manifold that supports cross-modal transfer to time series forecasting through linear probes, retrieval, and low-dimensional finetuning alignment.
So for americium-241, the resistivity at 4.2 K increases with time from about 2 µOhm ·cm to 10 µOhm·cm after 40 hours, and saturates at about 16 µOhm·cm
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LLM Pretraining Shapes a Generalizable Manifold: Insights into Cross-Modal Transfer to Time Series
Language pretraining builds a generalizable manifold that supports cross-modal transfer to time series forecasting through linear probes, retrieval, and low-dimensional finetuning alignment.