Abstract
Full detector simulation and reconstruction of collider events are projected to become major bottlenecks at the High-Luminosity Large Hadron Collider, motivating the development of fast, ML-based surrogates. At the same time, LLMs have driven fast progress in generative discrete modeling: autoregressive transformers trained on tokenized data now represent the state of the art across a range of generative tasks. We extend the discrete modeling paradigm by introducing a particle-level generative model trained on residual-quantized full-event data. We demonstrate the ability of this model family to perform conditional generation from detector-stable particles; we study its scaling behavior across a range of dataset and model sizes, characterize the effects of repeated data exposure and demonstrate that token-level loss systematically predicts downstream physical fidelity. These results provide an empirical framework for scalable collider full-event generation based on residual-quantized representations.
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Publication details
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- Open access
- Green open access
Cite this article
APA 7
Godi, D., Kobylianskii, D., & Gross, E. (2026). Scaling Collider Event Generation with Residual-Quantized Tokens. https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens
MLA 9
Godi, Dan, et al. "Scaling Collider Event Generation with Residual-Quantized Tokens." https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens.
Chicago (author–date)
Godi, Dan, Dmitrii Kobylianskii, and Eilam Gross. 2026. "Scaling Collider Event Generation with Residual-Quantized Tokens." https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens.
Harvard
Godi, D., Kobylianskii, D. and Gross, E. (2026) 'Scaling Collider Event Generation with Residual-Quantized Tokens', Available at: https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens.
Vancouver
Godi D, Kobylianskii D, Gross E. Scaling Collider Event Generation with Residual-Quantized Tokens. https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens
IEEE
D. Godi, D. Kobylianskii, and E. Gross, "Scaling Collider Event Generation with Residual-Quantized Tokens," https://omanscience.com/en/articles/scaling-collider-event-generation-with-residual-quantized-tokens.