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A., et al., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18706.x , http://adsabs.harvard.edu/abs/2011MNRAS.417.1621D 417

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748 Pith papers citing it
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  • background 2023; Contreras et al. 2023a; Ortega- Martinez et al. 2024). Each emulator can vary the SHAMe-SF parameters, cosmological parameters (σ8,Ω m,Ω b,n s,handM ν), redshift, and number density simultaneously within the follow- ing ranges for the SHAMe-SF parameters: β∈[0,20] γ∈[−10,25] ∆γ∈[−10,10] V1 ∈[10 1.2,10 3.5] (km/s) ∆V1 ∈[10 0.2,10 1.9] (km/s) σ∈[0,1.7] fk,(cen+sat)/2 ∈[−1,1] fk,(cen−sat)/2 ∈[−1,1] α0 ∈[0,8] αexp ∈[−8,8] (4) Mcrit ∈[9,14.5] (log(h −1M⊙)), for the cosmological parameters: σ8 ∈

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The 35-Myr old infant planet TOI-837 b has a mildly misaligned orbit

astro-ph.EP · 2026-06-10 · unverdicted · novelty 8.0 · 2 refs

TOI-837 b has a true obliquity of 25.9+7.5-6.3 deg, the first planet younger than 100 Myr with accessible ψ incompatible with an aligned orbit, favoring primordial disc torque followed by disc-driven migration.

TopoFisher: Learning Topological Summary Statistics by Maximizing Fisher Information

stat.ML · 2026-05-08 · conditional · novelty 8.0 · 3 refs

TopoFisher optimizes trainable filtrations, vectorizations, and compressors in persistent homology to maximize Fisher information, yielding higher information than fixed cosmological summaries and approaching neural baselines with far fewer parameters while generalizing better under simulator shifts

Dust and Grain Size Evolution in Galaxy Simulations: What Matters and What Does Not

astro-ph.GA · 2026-04-07 · unverdicted · novelty 8.0 · 2 refs

Dust grain size distributions evolve from large-grain dominated at high redshift to MRN-like at low redshift, driven primarily by shattering and ISM accretion after stars supply initial large grains, reproducing z=0 dust masses and Milky Way extinction properties.

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