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4 Pith papers cite this work. Polarity classification is still indexing.

4 Pith papers citing it

citation-role summary

baseline 1

citation-polarity summary

fields

hep-ph 4

years

2026 3 2025 1

roles

baseline 1

polarities

baseline 1

representative citing papers

Monte Carlo Event Generation with Continuous Normalizing Flows

hep-ph · 2026-04-03 · conditional · novelty 6.0

Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.

Amplitude Uncertainties Everywhere All at Once

hep-ph · 2025-08-29 · unverdicted · novelty 4.0

Compares ensemble, Bayesian, and evidential regression approaches for uncertainty quantification in amplitude surrogates and shows they detect localized training data issues.

Monte Carlo Event Generators for Future Lepton Colliders

hep-ph · 2026-06-20 · unverdicted · novelty 2.0

Reviews selected challenges in Monte Carlo event generators for future lepton colliders including electroweak corrections, initial-state radiation, beam dynamics, perturbative QCD and non-perturbative modelling.

The Monte Carlo Ecosystem in High-Energy Physics: A Primer

hep-ph · 2026-05-15 · accept · novelty 1.0

A primer by six leading developers maps the full Monte Carlo chain (matrix elements, parton showers, hadronisation, detector simulation, tuning, analysis) and the computing and reproducibility issues that come with it.

citing papers explorer

Showing 4 of 4 citing papers.

  • Monte Carlo Event Generation with Continuous Normalizing Flows hep-ph · 2026-04-03 · conditional · none · ref 30

    Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupling-layer flows.

  • Amplitude Uncertainties Everywhere All at Once hep-ph · 2025-08-29 · unverdicted · none · ref 8

    Compares ensemble, Bayesian, and evidential regression approaches for uncertainty quantification in amplitude surrogates and shows they detect localized training data issues.

  • Monte Carlo Event Generators for Future Lepton Colliders hep-ph · 2026-06-20 · unverdicted · none · ref 92

    Reviews selected challenges in Monte Carlo event generators for future lepton colliders including electroweak corrections, initial-state radiation, beam dynamics, perturbative QCD and non-perturbative modelling.

  • The Monte Carlo Ecosystem in High-Energy Physics: A Primer hep-ph · 2026-05-15 · accept · none · ref 181

    A primer by six leading developers maps the full Monte Carlo chain (matrix elements, parton showers, hadronisation, detector simulation, tuning, analysis) and the computing and reproducibility issues that come with it.