This is SParTA: A modular, efficient and scalable transformer architecture for jet-tagging
We present the Sparse Particle-interaction Transformer Architecture (SParTA), a modular, scalable, and efficient transformer for jet tagging at high-energy colliders. Exploiting the steeply falling transverse-momentum ($p_T$) spectrum of jet constituents, SParTA factorizes constituent processing into two topological regimes. Ordered by descending $p_T$, only the $N$ hardest constituents (the hard core) participate in quadratic $O(N^2)$ differential interaction attention driven by pairwise physical and learned relational features. The remaining soft constituents are integrated via linear $O(lN)$ cross-attention to the hard core, preserving soft-radiation and color-flow information while av...
| Authors | Rajneil Baruah, Subhadeep Mondal, Sunando Kumar Patra et al. |
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| Primary category | hep-ph |
| Published | 19 October 2026 |
| Last updated at source | 19 October 2026 |
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