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

3 Pith papers citing it

years

2026 3

verdicts

UNVERDICTED 3

representative citing papers

UV artefacts in ultra-slow-roll models of inflation

astro-ph.CO · 2026-06-26 · unverdicted · novelty 7.0

Hubble-flow models of ultra-slow-roll inflation introduce spurious UV artefacts in the potential that Fourier filtering removes, restoring Wands duality.

Stochastic scalar-tensor inflation and beyond

gr-qc · 2026-06-05 · unverdicted · novelty 7.0

Extends the stochastic inflation formalism to a wide class of scalar-tensor theories by mapping EFT of dark energy coefficients to stochastic equations of motion.

Stochastic constant-roll inflation beyond the hilltop with the spectral method

astro-ph.CO · 2026-06-08 · unverdicted · novelty 6.0

Spectral solution of the Fokker-Planck operator for hilltop constant-roll inflation shows rare crossing trajectories dominate the mean, so the median yields a coarse-grained ΔN distribution whose exponential tail flattens into a peak near maximal value.

citing papers explorer

Showing 3 of 3 citing papers.

  • UV artefacts in ultra-slow-roll models of inflation astro-ph.CO · 2026-06-26 · unverdicted · none · ref 31

    Hubble-flow models of ultra-slow-roll inflation introduce spurious UV artefacts in the potential that Fourier filtering removes, restoring Wands duality.

  • Stochastic scalar-tensor inflation and beyond gr-qc · 2026-06-05 · unverdicted · none · ref 71

    Extends the stochastic inflation formalism to a wide class of scalar-tensor theories by mapping EFT of dark energy coefficients to stochastic equations of motion.

  • Stochastic constant-roll inflation beyond the hilltop with the spectral method astro-ph.CO · 2026-06-08 · unverdicted · none · ref 87

    Spectral solution of the Fokker-Planck operator for hilltop constant-roll inflation shows rare crossing trajectories dominate the mean, so the median yields a coarse-grained ΔN distribution whose exponential tail flattens into a peak near maximal value.