Paper Citation Record · LEDGER

Assessing subhalo finders in cosmological hydrodynamical simulations

As of 10 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 12 inbound Pith citation observations for arXiv:2502.06932.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.06932 v3

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measured 68 of 68 reference resolution

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measured 1 of 1 external citation measurements

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Reference resolution

68 of 68 outbound references displayed

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External citation measurements

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arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 0441cf7d-3dd6-4753-91f9-d654234532c3 · outbound

This paper cites write newline.

Assessing subhalo finders in cosmological hydrodynamical simulations write newline

Reference 1

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 2

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This paper cites M., et al., 2022, @doi [ ] 10.1093/mnras/stac1339 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516..167B 516, 167.

Assessing subhalo finders in cosmological hydrodynamical simulations M., et al., 2022, @doi [ ] 10.1093/mnras/stac1339 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516..167B 516, 167

Reference 5

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This paper cites S., Wechsler R.

Assessing subhalo finders in cosmological hydrodynamical simulations S., Wechsler R

Reference 6

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This paper cites S., Wechsler R.

Assessing subhalo finders in cosmological hydrodynamical simulations S., Wechsler R

Reference 7

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 8

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 10

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This paper cites G., Schaye J., 2022, @doi [ ] 10.1093/mnras/stab3166 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.2367B 511, 2367.

Assessing subhalo finders in cosmological hydrodynamical simulations G., Schaye J., 2022, @doi [ ] 10.1093/mnras/stab3166 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.511.2367B 511, 2367

Reference 11

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Assessing subhalo finders in cosmological hydrodynamical simulations L., Norman M

Reference 12

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Assessing subhalo finders in cosmological hydrodynamical simulations M., Nobels F

Reference 13

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 14

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This paper cites On the accuracy of dark matter halo merger trees and the consequences for semi-analytic models of galaxy formation.

Assessing subhalo finders in cosmological hydrodynamical simulations On the accuracy of dark matter halo merger trees and the consequences for semi-analytic models of galaxy formation

Reference 15

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 18

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This paper cites P., et al., 2022, @doi [ ] 10.1093/mnras/stac472 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513..439D 513, 439.

Assessing subhalo finders in cosmological hydrodynamical simulations P., et al., 2022, @doi [ ] 10.1093/mnras/stac472 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.513..439D 513, 439

Reference 19

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This paper cites Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope.

Assessing subhalo finders in cosmological hydrodynamical simulations Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

Reference 20

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Assessing subhalo finders in cosmological hydrodynamical simulations J., Maddox S

Reference 21

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Assessing subhalo finders in cosmological hydrodynamical simulations J., Ca \ n as R., Poulton R

Reference 23

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Assessing subhalo finders in cosmological hydrodynamical simulations J., Poulton R

Reference 24

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This paper cites S., Jenkins A., Li B., Pascoli S., 2021, @doi [ ] 10.1093/mnras/stab2260 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.2614E 507, 2614.

Assessing subhalo finders in cosmological hydrodynamical simulations S., Jenkins A., Li B., Pascoli S., 2021, @doi [ ] 10.1093/mnras/stab2260 , https://ui.adsabs.harvard.edu/abs/2021MNRAS.507.2614E 507, 2614

Reference 25

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Assessing subhalo finders in cosmological hydrodynamical simulations S., Jenkins A., Li B., Pascoli S., 2022, @doi [ ] 10.1093/mnras/stac2365 , https://ui.adsabs.harvard.edu/abs/2022MNRAS.516.3821E 516, 3821

Reference 26

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Assessing subhalo finders in cosmological hydrodynamical simulations arXiv:2405.13491

Reference 28

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Assessing subhalo finders in cosmological hydrodynamical simulations arXiv:2405.13495

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Assessing subhalo finders in cosmological hydrodynamical simulations S., Padilla N

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Assessing subhalo finders in cosmological hydrodynamical simulations F., Ji A

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Assessing subhalo finders in cosmological hydrodynamical simulations R., Gray M

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Assessing subhalo finders in cosmological hydrodynamical simulations E., Teyssier R., Wechsler R

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Assessing subhalo finders in cosmological hydrodynamical simulations S., Benitez-Llambay A., Helly J., 2018, @doi [ ] 10.1093/mnras/stx2792 , https://ui.adsabs.harvard.edu/abs/2018MNRAS.474..604H 474, 604

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Assessing subhalo finders in cosmological hydrodynamical simulations G., Schaye J., Schaller M., Nobels F

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Assessing subhalo finders in cosmological hydrodynamical simulations C., Cole S., Frenk C

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Assessing subhalo finders in cosmological hydrodynamical simulations G., White S

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Assessing subhalo finders in cosmological hydrodynamical simulations V., Khokhlov A

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Assessing subhalo finders in cosmological hydrodynamical simulations R., Knebe A., 2009, @doi [ ] 10.1088/0067-0049/182/2/608 , https://ui.adsabs.harvard.edu/abs/2009ApJS..182..608K 182, 608

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Assessing subhalo finders in cosmological hydrodynamical simulations O., Diemer B., Wechsler R

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Assessing subhalo finders in cosmological hydrodynamical simulations V., Dalal N., Gottl \"o ber S., 2011, @doi [ ] 10.1088/0067-0049/195/1/4 , https://ui.adsabs.harvard.edu/abs/2011ApJS..195....4M 195, 4

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Assessing subhalo finders in cosmological hydrodynamical simulations J., Walker M

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Assessing subhalo finders in cosmological hydrodynamical simulations A unified model for the clustering of quasars and galaxies at $z\approx6$

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Assessing subhalo finders in cosmological hydrodynamical simulations H., Davis M., 1982, @doi [ ] 10.1086/160183 , https://ui.adsabs.harvard.edu/abs/1982ApJ...259..449P 259, 449

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Assessing subhalo finders in cosmological hydrodynamical simulations D., Loveday J., Thomas P

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Assessing subhalo finders in cosmological hydrodynamical simulations H., Frenk C

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Reference 66

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 67

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 68

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 69

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Assessing subhalo finders in cosmological hydrodynamical simulations H., 2020, @doi [ ] 10.1093/mnras/stz3157 , https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.3022S 491, 3022

Reference 70

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 71

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 73

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

Reference 74

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Assessing subhalo finders in cosmological hydrodynamical simulations S., Navarro J

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

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Assessing subhalo finders in cosmological hydrodynamical simulations Unresolved cited work

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Pith citing papers

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Constraints on Neutrino Physics from DESI DR2 BAO and DR1 Full Shape cites this paper.

Constraints on Neutrino Physics from DESI DR2 BAO and DR1 Full Shape Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 154

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Cosmological feedback from a halo assembly perspective cites this paper.

Cosmological feedback from a halo assembly perspective Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 56

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SOAP: A Python Package for Calculating the Properties of Galaxies and Halos Formed in Cosmological Simulations cites this paper.

SOAP: A Python Package for Calculating the Properties of Galaxies and Halos Formed in Cosmological Simulations Assessing subhalo finders in cosmological hydrodynamical simulations

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COLIBRE: calibrating subgrid feedback in cosmological simulations that include a cold gas phase Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 59

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The evolution of the galaxy stellar mass function and star formation rates in the COLIBRE simulations from redshift 17 to 0 cites this paper.

The evolution of the galaxy stellar mass function and star formation rates in the COLIBRE simulations from redshift 17 to 0 Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 61

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The emergence of globular clusters and globular-cluster-like dwarfs Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 77

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The Broken Similarity: Sinking and Merging of Dark Matter Subhalos Across Hierarchical Levels cites this paper.

Reference 50

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The limits of feedback from active galactic nuclei Assessing subhalo finders in cosmological hydrodynamical simulations

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Assembly bias and the redshift evolution of intrinsic alignments for LRGs cites this paper.

Assembly bias and the redshift evolution of intrinsic alignments for LRGs Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 101

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The COLIBRE-SKIRT pipeline: Calibration-free dust radiative transfer postprocessing for cosmological simulations cites this paper.

The COLIBRE-SKIRT pipeline: Calibration-free dust radiative transfer postprocessing for cosmological simulations Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 284

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Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects cites this paper.

Interpreting the stacked kinetic SZ effect I: velocity reconstruction and non-linear velocity effects Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 98

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The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures cites this paper.

The One-Loop Power Spectrum of Fast Radio Burst Dispersion Measures Assessing subhalo finders in cosmological hydrodynamical simulations

Reference 130

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