A Particle Transformer jet tagger contains a sparse six-head circuit whose source-relay-readout structure recovers most performance and whose residual stream preferentially encodes 2-prong energy correlators.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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hep-ph 3years
2026 3representative citing papers
A MERA-based autoencoder supplies a locality-aware hierarchical inductive bias that improves reconstruction-based anomaly detection for collider jets, with disentanglers providing benefit at strong compression bottlenecks.
SHARP is a human-AI collaboration pipeline for reproducing scientific analyses, demonstrated by recreating a jet classification task from a particle physics paper.
citing papers explorer
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Dissecting Jet-Tagger Through Mechanistic Interpretability
A Particle Transformer jet tagger contains a sparse six-head circuit whose source-relay-readout structure recovers most performance and whose residual stream preferentially encodes 2-prong energy correlators.
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Quantum-Inspired Tensor Network Autoencoders for Anomaly Detection: A MERA-Based Approach
A MERA-based autoencoder supplies a locality-aware hierarchical inductive bias that improves reconstruction-based anomaly detection for collider jets, with disentanglers providing benefit at strong compression bottlenecks.
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A Scientific Human-Agent Reproduction Pipeline
SHARP is a human-AI collaboration pipeline for reproducing scientific analyses, demonstrated by recreating a jet classification task from a particle physics paper.