Paper Citation Record · LEDGER

Conditional Clifford-Steerable CNNs for PDE Modeling

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2510.14007.

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

pith.paper-citation-record.v1
2510.14007 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:41:15.032672Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T12:24:12.887915Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T18:50:04.781495Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy0
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External citation measurements

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Outbound references

Observation 3610ce3d-3bbb-4d54-8b06-76731fced6d7 · outbound

This paper cites Bekkers, Maxime W.

Conditional Clifford-Steerable CNNs for PDE Modeling Bekkers, Maxime W

Reference 1

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Observation 1462f276-8415-48d6-bf92-07f97a62471b · outbound

This paper cites Bekkers, Sharvaree P.

Conditional Clifford-Steerable CNNs for PDE Modeling Bekkers, Sharvaree P

Reference 2

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Observation 941b10d9-73c6-489b-b50d-06124aec4fe4 · outbound

This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

Conditional Clifford-Steerable CNNs for PDE Modeling JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 3

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Observation a478abde-d81a-4763-a3b8-0797b6a4b955 · outbound

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Conditional Clifford-Steerable CNNs for PDE Modeling Unresolved cited work

Reference 4

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Conditional Clifford-Steerable CNNs for PDE Modeling Unresolved cited work

Reference 5

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Observation 711a71e6-4c37-4127-b36b-4f814dbba8a6 · outbound

This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

Conditional Clifford-Steerable CNNs for PDE Modeling Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:10.857955Z

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Observation b3bc1528-f58c-4cda-a5fc-4b5c34e509ae · outbound

This paper cites Carrier, L.

Conditional Clifford-Steerable CNNs for PDE Modeling Carrier, L

Reference 7

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Observation a61ec03c-15fe-46c5-970f-2b26fad06562 · outbound

This paper cites A Program to Build E ( N )- Equivariant Steerable CNNs.

Conditional Clifford-Steerable CNNs for PDE Modeling A Program to Build E ( N )- Equivariant Steerable CNNs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:11.167536Z

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Observation 8566a669-74dd-44fa-b176-b4ca01fb9b8e · outbound

This paper cites Group equivariant convolutional networks.

Conditional Clifford-Steerable CNNs for PDE Modeling Group equivariant convolutional networks

Reference 9

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Observation 5f8e115e-134b-40b7-93dd-153c1da26823 · outbound

This paper cites Cohen and Max Welling.

Conditional Clifford-Steerable CNNs for PDE Modeling Cohen and Max Welling

Reference 10

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Observation 4ba13e6d-10c6-4a0e-9ea3-7e664d86ddf6 · outbound

This paper cites Filipovich and Stephen Hughes.

Conditional Clifford-Steerable CNNs for PDE Modeling Filipovich and Stephen Hughes

Reference 11

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Observation 8506193e-27d9-4faf-b95a-dd3ab8080549 · outbound

This paper cites Worrall, Volker Fischer, and Max Welling.

Conditional Clifford-Steerable CNNs for PDE Modeling Worrall, Volker Fischer, and Max Welling

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:11.542207Z

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Observation b8881f96-f184-498b-86b3-1aacaaf67c7e · outbound

This paper cites Towards Multi-spatiotemporal-scale Generalized PDE Modeling.

Conditional Clifford-Steerable CNNs for PDE Modeling Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:11.637112Z

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Observation 9cf291f6-43f6-4a50-a7bd-b4a3e5b61198 · outbound

This paper cites Deep residual learning for image recognition.

Conditional Clifford-Steerable CNNs for PDE Modeling Deep residual learning for image recognition

Reference 14

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Observation 4d46a1d9-d438-43d9-881c-18035a97f111 · outbound

This paper cites F lax: A neural network library and ecosystem for JAX , 2024.

Conditional Clifford-Steerable CNNs for PDE Modeling F lax: A neural network library and ecosystem for JAX , 2024

Reference 15

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Observation b07f876f-b816-450d-a8ab-93183430f945 · outbound

This paper cites Group equivariant fourier neural operators for partial differential equations.

Conditional Clifford-Steerable CNNs for PDE Modeling Group equivariant fourier neural operators for partial differential equations

Reference 16

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Observation b7ff566d-bf65-428b-bba8-686576cc16da · outbound

This paper cites _ flow ( PhiFlow ): Differentiable simulations for pytorch, tensorflow and jax.

Conditional Clifford-Steerable CNNs for PDE Modeling _ flow ( PhiFlow ): Differentiable simulations for pytorch, tensorflow and jax

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:11.988545Z

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Observation 0e1ca4c8-ef4c-497c-9dd6-a2dcda3253bd · outbound

This paper cites Equivariance with learned canonicalization functions.

Conditional Clifford-Steerable CNNs for PDE Modeling Equivariance with learned canonicalization functions

Reference 18

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Observation f275ff0e-b03f-4efa-8dd6-615407e4f9a1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Conditional Clifford-Steerable CNNs for PDE Modeling Adam: A Method for Stochastic Optimization

Reference 19

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Observation 6160e3cc-8c84-4883-bab1-1c3ff84c3c4e · outbound

This paper cites Wagner, Alistair White, Sam Hatfield, Tom Kimpson, Navid C.

Conditional Clifford-Steerable CNNs for PDE Modeling Wagner, Alistair White, Sam Hatfield, Tom Kimpson, Navid C

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:12.202986Z

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Observation 2f83e5b9-8ddb-4156-8a85-e05618a68337 · outbound

This paper cites Modelling long range dependencies in n-d: From task-specific to a general purpose cnn.

Conditional Clifford-Steerable CNNs for PDE Modeling Modelling long range dependencies in n-d: From task-specific to a general purpose cnn

Reference 21

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Observation 3a6dd679-df75-4a3c-8ab8-216173585728 · outbound

This paper cites Harry Moore, Nicholas J.

Conditional Clifford-Steerable CNNs for PDE Modeling Harry Moore, Nicholas J

Reference 22

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Observation cf850c93-89af-419d-bd45-d62b9918b6a5 · outbound

This paper cites A wigner-eckart theorem for group equivariant convolution kernels.

Conditional Clifford-Steerable CNNs for PDE Modeling A wigner-eckart theorem for group equivariant convolution kernels

Reference 23

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Observation f80bcd6a-e9ff-4b58-a39a-9babc0af44ae · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Conditional Clifford-Steerable CNNs for PDE Modeling Fourier neural operator for parametric partial differential equations

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:12.603588Z

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Observation c9474984-e64a-4e27-9889-300fa7dffe8a · outbound

This paper cites Clifford Group Equivariant Diffusion Models for 3D Molecular Generation.

Conditional Clifford-Steerable CNNs for PDE Modeling Clifford Group Equivariant Diffusion Models for 3D Molecular Generation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:12.674603Z

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Observation dff863c1-f07e-4968-a3bb-a5dd1d94565a · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Conditional Clifford-Steerable CNNs for PDE Modeling Swin transformer: Hierarchical vision transformer using shifted windows

Reference 26

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This paper cites Smith, Mateusz Paprocki, Ond r ej C ert\' i k, Sergey B.

Conditional Clifford-Steerable CNNs for PDE Modeling Smith, Mateusz Paprocki, Ond r ej C ert\' i k, Sergey B

Reference 27

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This paper cites Equivariant adaptation of large pretrained models.

Conditional Clifford-Steerable CNNs for PDE Modeling Equivariant adaptation of large pretrained models

Reference 28

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This paper cites Equivariant non-linear maps for neural networks on homogeneous spaces.

Conditional Clifford-Steerable CNNs for PDE Modeling Equivariant non-linear maps for neural networks on homogeneous spaces

Reference 29

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This paper cites Fengbo: a clifford neural operator pipeline for 3d pdes in computational fluid dynamics.

Conditional Clifford-Steerable CNNs for PDE Modeling Fengbo: a clifford neural operator pipeline for 3d pdes in computational fluid dynamics

Reference 30

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Observation a9eb5455-bb57-407d-be4f-e59f872e1f4d · outbound

This paper cites Ross, and Kamyar Azizzadenesheli.

Conditional Clifford-Steerable CNNs for PDE Modeling Ross, and Kamyar Azizzadenesheli

Reference 31

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Conditional Clifford-Steerable CNNs for PDE Modeling Romero, Anna Kuzina, Erik J

Reference 32

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Conditional Clifford-Steerable CNNs for PDE Modeling U-net: Convolutional networks for biomedical image segmentation

Reference 33

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Observation 13f477f6-aed1-4521-b2a8-65ea1995fc9c · outbound

This paper cites Clifford group equivariant neural networks.

Conditional Clifford-Steerable CNNs for PDE Modeling Clifford group equivariant neural networks

Reference 34

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Conditional Clifford-Steerable CNNs for PDE Modeling Clifford group equivariant neural networks

Reference 35

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This paper cites Gupta, Steven De Keninck, Max Welling, and Johannes Brandstetter.

Conditional Clifford-Steerable CNNs for PDE Modeling Gupta, Steven De Keninck, Max Welling, and Johannes Brandstetter

Reference 36

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Conditional Clifford-Steerable CNNs for PDE Modeling u tt, Pieter - Jan Kindermans, Huziel Enoc Sauceda Felix, Stefan Chmiela, Alexandre Tkatchenko, and Klaus - Robert M \

Reference 37

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Conditional Clifford-Steerable CNNs for PDE Modeling Unresolved cited work

Reference 38

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Conditional Clifford-Steerable CNNs for PDE Modeling Lorentz-equivariant geometric algebra transformers for high-energy physics

Reference 39

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Conditional Clifford-Steerable CNNs for PDE Modeling Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 40

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Conditional Clifford-Steerable CNNs for PDE Modeling Unresolved cited work

Reference 41

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Conditional Clifford-Steerable CNNs for PDE Modeling Octformer: Octree-based transformers for 3D point clouds

Reference 42

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Conditional Clifford-Steerable CNNs for PDE Modeling Physics-Guided Deep Learning for Dynamical Systems: A Survey

Reference 43

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Conditional Clifford-Steerable CNNs for PDE Modeling Incorporating symmetry into deep dynamics models for improved generalization

Reference 44

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Conditional Clifford-Steerable CNNs for PDE Modeling Seidman, Shyam Sankaran, Hanwen Wang, George J

Reference 45

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Observation fcc9ffd3-e49c-44aa-9381-fe064624c1ac · outbound

This paper cites General e(2)-equivariant steerable cnns.

Conditional Clifford-Steerable CNNs for PDE Modeling General e(2)-equivariant steerable cnns

Reference 46

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Conditional Clifford-Steerable CNNs for PDE Modeling Equivariant and coordinate independent convolutional networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.347924Z

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Observation 07842768-94ae-45f3-a1c5-e72b834e5861 · outbound

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Conditional Clifford-Steerable CNNs for PDE Modeling Solving high-dimensional pdes with latent spectral models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.432032Z

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Observation 6caa20d3-db84-4e1c-9443-b1432c321c1c · outbound

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Conditional Clifford-Steerable CNNs for PDE Modeling Transolver: A fast transformer solver for pdes on general geometries

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.536374Z

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Conditional Clifford-Steerable CNNs for PDE Modeling Point transformer V3: simpler, faster, stronger

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.623391Z

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Observation a997eba1-4cfe-4042-9be6-d8aa64e2ebc4 · outbound

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Conditional Clifford-Steerable CNNs for PDE Modeling Funkhouser

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.712936Z

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Observation 650647a2-14e9-406b-be11-628518fd6609 · outbound

This paper cites Implicit convolutional kernels for steerable cnns.

Conditional Clifford-Steerable CNNs for PDE Modeling Implicit convolutional kernels for steerable cnns

Reference 52

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Conditional Clifford-Steerable CNNs for PDE Modeling Clifford-steerable convolutional neural networks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:14.866692Z

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Conditional Clifford-Steerable CNNs for PDE Modeling Erwin: A tree-based hierarchical transformer for large-scale physical systems

Reference 54

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Conditional Clifford-Steerable CNNs for PDE Modeling write newline

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T09:41:15.032672Z

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Pith citing papers

Observation bdb997bb-e11e-4714-a154-27e720a5773f · inbound

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow cites this paper.

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Conditional Clifford-Steerable CNNs for PDE Modeling

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:17:13.399185Z

Source-reported events for the cited work

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Observation a86cd68b-24d4-4a31-9817-d7de65e45541 · inbound

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow cites this paper.

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Conditional Clifford-Steerable CNNs for PDE Modeling

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T12:24:12.887915Z

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