Scaling Point-in-Time Language Models: Enabling Economic Evaluation of Embeddings.

arXiv:2607.11889v3 Announce Type: replace-cross Abstract: Large language models trained on unrestricted internet corpora inevitably embed information from the future, introducing lookahead bias that compromises the validity of backtests and causal inference in