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Embedding Lorentz transformations directly into query-key attention cuts video prediction error by nearly 10% using a tenth of the parameters, proving that explicit relativistic spacetime geometry can dramatically outperform purely learned positional encodings across physical scales.
A-SR achieves nearly a doubling of accuracy in symbolic regression tasks, showcasing a transformative approach to LLM-guided formula discovery.
