Paper Citation Record · LEDGER

Cosmology with Topological Deep Learning

As of 20 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2505.23904.

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

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2505.23904 v1

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Outbound references

Observation ea0cd566-7141-43ce-b964-89714e5ec957 · outbound

This paper cites an unresolved cited work.

Cosmology with Topological Deep Learning Unresolved cited work

Reference 1

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This paper cites 2019, in The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2623–2631.

Cosmology with Topological Deep Learning 2019, in The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2623–2631

Reference 2

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Observation 1e616f1b-248e-44a1-b4f2-fa2ab2cf8046 · outbound

This paper cites 2017, MNRAS, 470, 2617, doi: 10.1093/mnras/stx721.

Cosmology with Topological Deep Learning 2017, MNRAS, 470, 2617, doi: 10.1093/mnras/stx721

Reference 3

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This paper cites 2020, Phys.

Cosmology with Topological Deep Learning 2020, Phys

Reference 4

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Observation 16d13039-e7c4-4378-8717-e416f9434058 · outbound

This paper cites Cosmology from Galaxy Redshift Surveys with PointNet.

Cosmology with Topological Deep Learning Cosmology from Galaxy Redshift Surveys with PointNet

Reference 5

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This paper cites A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing.

Cosmology with Topological Deep Learning A Cosmic-Scale Benchmark for Symmetry-Preserving Data Processing

Reference 6

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Observation 76a8671c-5764-4ba8-89e0-2f289fde7988 · outbound

This paper cites E(n) Equivariant Topological Neural Networks.

Cosmology with Topological Deep Learning E(n) Equivariant Topological Neural Networks

Reference 7

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This paper cites E., Villaescusa-Navarro, F., Massara, E., et al.

Cosmology with Topological Deep Learning E., Villaescusa-Navarro, F., Massara, E., et al

Reference 8

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This paper cites 2019, in NeurIPS 2019 Workshop on Machine Learning for Physical Sciences.

Cosmology with Topological Deep Learning 2019, in NeurIPS 2019 Workshop on Machine Learning for Physical Sciences

Reference 9

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Observation 9f9c9f1e-68c6-480d-ad36-f43404919b32 · outbound

This paper cites S., Wechsler, R.

Cosmology with Topological Deep Learning S., Wechsler, R

Reference 10

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This paper cites R., Faber, S.

Cosmology with Topological Deep Learning R., Faber, S

Reference 11

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Observation 84a17a2b-be49-4048-a2ef-2314372a3ae6 · outbound

This paper cites R., Kofman, L., & Pogosyan, D.

Cosmology with Topological Deep Learning R., Kofman, L., & Pogosyan, D

Reference 12

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Observation cdf013ab-c78c-465e-8837-c69728fc5522 · outbound

This paper cites Geometric and Physical Quantities Improve E(3) Equivariant Message Passing.

Cosmology with Topological Deep Learning Geometric and Physical Quantities Improve E(3) Equivariant Message Passing

Reference 13

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Cosmology with Topological Deep Learning Unresolved cited work

Reference 14

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Observation 638fdc8b-974f-4b61-b4f3-bddf6bbf208e · outbound

This paper cites Cosmology from Point Clouds with Dark Matter Halos from the Quijote Simulations.

Cosmology with Topological Deep Learning Cosmology from Point Clouds with Dark Matter Halos from the Quijote Simulations

Reference 15

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This paper cites 2020, in Proceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20 (Red Hook, NY , USA: Curran Associates Inc.).

Cosmology with Topological Deep Learning 2020, in Proceedings of the 34th International Conference on Neural Information Processing Systems, NIPS ’20 (Red Hook, NY , USA: Curran Associates Inc.)

Reference 16

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Observation 436fde06-e014-4255-98df-d3739edf585e · outbound

This paper cites Principal Neighbourhood Aggregation for Graph Nets.

Cosmology with Topological Deep Learning Principal Neighbourhood Aggregation for Graph Nets

Reference 17

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Observation ff31f34b-4d98-4c6e-a048-a0dbd8c6c9b6 · outbound

This paper cites Signatures of a Parity-Violating Universe.

Cosmology with Topological Deep Learning Signatures of a Parity-Violating Universe

Reference 18

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This paper cites Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum.

Cosmology with Topological Deep Learning Quijote-PNG: Simulations of primordial non-Gaussianity and the information content of the matter field power spectrum and bispectrum

Reference 19

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Observation e3387f88-e76b-44bf-a2ee-265440b89ce8 · outbound

This paper cites 2021, in Proceedings of Machine Learning Research, V ol.

Cosmology with Topological Deep Learning 2021, in Proceedings of Machine Learning Research, V ol

Reference 20

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This paper cites 2024, PhRvD, 109, 123531, doi: 10.1103/PhysRevD.109.123531.

Cosmology with Topological Deep Learning 2024, PhRvD, 109, 123531, doi: 10.1103/PhysRevD.109.123531

Reference 21

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This paper cites DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations.

Cosmology with Topological Deep Learning DESI 2024 VI: Cosmological Constraints from the Measurements of Baryon Acoustic Oscillations

Reference 22

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This paper cites Wavelet Moments for Cosmological Parameter Estimation.

Cosmology with Topological Deep Learning Wavelet Moments for Cosmological Parameter Estimation

Reference 23

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Observation bd1d9e9b-3861-4847-8560-fb779aa1cdc5 · outbound

This paper cites E(n) Equivariant Message Passing Simplicial Networks.

Cosmology with Topological Deep Learning E(n) Equivariant Message Passing Simplicial Networks

Reference 24

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This paper cites Generalization and Representational Limits of Graph Neural Networks.

Cosmology with Topological Deep Learning Generalization and Representational Limits of Graph Neural Networks

Reference 25

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This paper cites 2021, JCAP, 2021, 029, doi: 10.1088/1475-7516/2021/04/029.

Cosmology with Topological Deep Learning 2021, JCAP, 2021, 029, doi: 10.1088/1475-7516/2021/04/029

Reference 26

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Observation 9fdab32d-2b93-4e64-b6a9-df3880f0fb46 · outbound

This paper cites Topological Deep Learning: Going Beyond Graph Data.

Cosmology with Topological Deep Learning Topological Deep Learning: Going Beyond Graph Data

Reference 27

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Cosmology with Topological Deep Learning Unresolved cited work

Reference 28

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This paper cites J., Chartier, N., et al.

Cosmology with Topological Deep Learning J., Chartier, N., et al

Reference 29

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Cosmology with Topological Deep Learning Y ., Sabiu, C

Reference 30

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Cosmology with Topological Deep Learning M., Philcox, O

Reference 31

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This paper cites M., Simonovi´c, M., & Zaldarriaga, M.

Cosmology with Topological Deep Learning M., Simonovi´c, M., & Zaldarriaga, M

Reference 32

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This paper cites 2022, MNRAS, 516, 2406, doi: 10.1093/mnras/stac2083.

Cosmology with Topological Deep Learning 2022, MNRAS, 516, 2406, doi: 10.1093/mnras/stac2083

Reference 33

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This paper cites Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks.

Cosmology with Topological Deep Learning Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

Reference 34

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This paper cites 2024, ApJ, 975, 38, doi: 10.3847/1538-4357/ad73d4 17.

Cosmology with Topological Deep Learning 2024, ApJ, 975, 38, doi: 10.3847/1538-4357/ad73d4 17

Reference 35

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Observation 0b11cc28-8fbb-44ae-af8a-963e6361c6b9 · outbound

This paper cites SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering.

Cosmology with Topological Deep Learning SimBIG: Field-level Simulation-Based Inference of Galaxy Clustering

Reference 36

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This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Cosmology with Topological Deep Learning SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 37

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This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Cosmology with Topological Deep Learning Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 38

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This paper cites The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues.

Cosmology with Topological Deep Learning The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues

Reference 39

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This paper cites 2023, ApJ, 951, 70, doi: 10.3847/1538-4357/acd44d.

Cosmology with Topological Deep Learning 2023, ApJ, 951, 70, doi: 10.3847/1538-4357/acd44d

Reference 40

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Cosmology with Topological Deep Learning 2019, Computational Astrophysics and Cosmology, 6, 2, doi: 10.1186/s40668-019-0028-x

Reference 41

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Cosmology with Topological Deep Learning 2023, ApJ, 959, 136, doi: 10.3847/1538-4357/ad022a

Reference 42

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Cosmology with Topological Deep Learning J., Yuan, S., & Garrison, L

Reference 43

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This paper cites Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks.

Cosmology with Topological Deep Learning Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks

Reference 44

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Cosmology with Topological Deep Learning Unresolved cited work

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Cosmology with Topological Deep Learning TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

Reference 46

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Cosmology with Topological Deep Learning G., Filippenko, A

Reference 47

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Cosmology with Topological Deep Learning 2006, PhRvD, 74, 023522, doi: 10.1103/PhysRevD.74.023522

Reference 48

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Cosmology with Topological Deep Learning 2023, ApJ, 944, 27, doi: 10.3847/1538-4357/acac7a

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Cosmology with Topological Deep Learning N., Bean, R., Dor´e, O., et al

Reference 50

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Cosmology with Topological Deep Learning 2005, MNRAS, 364, 1105, doi: 10.1111/j.1365-2966.2005.09655.x —

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Cosmology with Topological Deep Learning Velocity recostruction with graph neural networks

Reference 52

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Cosmology with Topological Deep Learning L., Sheldon, E

Reference 53

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Cosmology with Topological Deep Learning S., Guzzo, L., Granett, B

Reference 54

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This paper cites 2020, MNRAS, 495, 4006, doi: 10.1093/mnras/staa1155.

Cosmology with Topological Deep Learning 2020, MNRAS, 495, 4006, doi: 10.1093/mnras/staa1155

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Cosmology with Topological Deep Learning 2022, PhRvD, 105, 103534, doi: 10.1103/PhysRevD.105.103534

Reference 56

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Cosmology with Topological Deep Learning 2021, ApJ, 915, 71, doi: 10.3847/1538-4357/abf7ba

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