Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:34:43.909868Z
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 100 of 131 outbound references and 1 inbound Pith citation observation for arXiv:2509.13498.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T16:34:43.909868Z
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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100 of 131 outbound references displayed
External citation measurements
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum V., Viel M., Verde L., 2011, @doi [ ] 10.1111/j.1365-2966.2011.18245.x , https://ui.adsabs.harvard.edu/abs/2011MNRAS.413.1717B 413, 1717
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum R., Cole S., Efstathiou G., Kaiser N., 1991, @doi [ ] 10.1086/170520 , https://ui.adsabs.harvard.edu/abs/1991ApJ...379..440B 379, 440
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Perturbative Lagrangian Approach to Gravitational Instability
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum JAX-COSMO: An End-to-End Differentiable and GPU Accelerated Cosmology Library
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum C., 2025, @doi [ ] 10.1093/mnras/staf663 , https://ui.adsabs.harvard.edu/abs/2025MNRAS.539.3220C 539, 3220
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Trac H., Fuller S., Upton Sanderbeck P
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., 2015, PhD thesis, University of California, Los Angeles
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Furlanetto S
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum B., Graziani L., Ciardi B., Feng Y., Kakiichi K., Di Matteo T., 2018, @doi [ ] 10.1093/mnras/sty272 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.476.1174E 476, 1174
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum D., Dav \'e R., Zackrisson E., 2018, @doi [ ] 10.1093/mnras/sty1949 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.2628F 480, 2628
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Y., 2014, @doi [ ] 10.1088/0004-637X/793/1/29 , https://ui.adsabs.harvard.edu/abs/2014ApJ...793...29G 793, 29
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum A., 2017, @doi [ ] 10.1093/mnras/stw3351 , https://ui.adsabs.harvard.edu/abs/2017MNRAS.466.4239G 466, 4239
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum arXiv:2502.02294
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum K., Feng Y., Ma C.-P., 2018, @doi [ ] 10.1093/mnras/sty1329 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.478.5063H 478, 5063
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Extreme Deconvolution Reimagined: Conditional Densities via Neural Networks and an Application in Quasar Classification
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Using Neural Emulators and Hamiltonian Monte Carlo to constrain the Epoch of Reionization's History with the Ly$\alpha$ Forest Power Spectrum Unresolved cited work
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