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Paper Citation Record · LEDGER

Geometric Hyena Networks for Large-scale Equivariant Learning

As of 8 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 1 inbound Pith citation observation for arXiv:2505.22560.

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

pith.paper-citation-record.v1
2505.22560 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:48.611106Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T12:27:30.761467Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

80 of 80 outbound references displayed

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  • verified fuzzy41
  • unresolved38
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9923490-6e52-4717-b638-2f2dbdd014d4 · outbound

This paper cites write newline.

Geometric Hyena Networks for Large-scale Equivariant Learning write newline

Reference 1

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Observation eaf6812f-af13-4448-9ef6-54cacd784f1b · outbound

This paper cites Vn-transformer: Rotation-equivariant attention for vector neurons.

Geometric Hyena Networks for Large-scale Equivariant Learning Vn-transformer: Rotation-equivariant attention for vector neurons

Reference 2

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Observation f3cc634c-14b6-480f-b53a-808ca7b3caab · outbound

This paper cites and Sali, A.

Geometric Hyena Networks for Large-scale Equivariant Learning and Sali, A

Reference 3

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Observation d2c29e39-5003-4644-8a8c-a7630cdf1f74 · outbound

This paper cites Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space.

Geometric Hyena Networks for Large-scale Equivariant Learning Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space

Reference 4

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Source-reported events for the cited work

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Observation a5e1ba57-72d9-442e-96f9-6e5c5214dc90 · outbound

This paper cites J., and Welling, M.

Geometric Hyena Networks for Large-scale Equivariant Learning J., and Welling, M

Reference 5

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Observation d4a1c3fe-7f3a-4d29-a44b-2713b5b0189e · outbound

This paper cites D., Behrends, S., and Cohen, T.

Geometric Hyena Networks for Large-scale Equivariant Learning D., Behrends, S., and Cohen, T

Reference 6

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Observation e02b7c86-1227-4749-8c40-83ca9bdcab5c · outbound

This paper cites Are high-degree representations really unnecessary in equivariant graph neural networks? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024.

Geometric Hyena Networks for Large-scale Equivariant Learning Are high-degree representations really unnecessary in equivariant graph neural networks? In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024

Reference 7

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Observation 054e34da-d888-41d6-bd20-159399a3032d · outbound

This paper cites Nomenclature of inorganic chemistry: Iupac recommendations 2005.

Geometric Hyena Networks for Large-scale Equivariant Learning Nomenclature of inorganic chemistry: Iupac recommendations 2005

Reference 8

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Observation 61fa0ac6-24cb-4cac-ab9b-65c41c91328d · outbound

This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.

Geometric Hyena Networks for Large-scale Equivariant Learning Flashattention: Fast and memory-efficient exact attention with io-awareness

Reference 9

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Observation e5379a66-369f-4c93-aaac-620a7bc76a41 · outbound

This paper cites Openvaccine: Covid-19 mrna vaccine degradation prediction, 2020.

Geometric Hyena Networks for Large-scale Equivariant Learning Openvaccine: Covid-19 mrna vaccine degradation prediction, 2020

Reference 10

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Observation 62752f89-cdd0-4fdc-a32d-e0684ef8d378 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

Geometric Hyena Networks for Large-scale Equivariant Learning Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 11

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Observation ff43acea-cec6-42d2-ace6-87bfd7ce9a13 · outbound

This paper cites Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs.

Geometric Hyena Networks for Large-scale Equivariant Learning Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs

Reference 12

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Observation 0d5abc4c-9c65-4a7d-8dc2-50e1c410731f · outbound

This paper cites Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers.

Geometric Hyena Networks for Large-scale Equivariant Learning Euclidean, Projective, Conformal: Choosing a Geometric Algebra for Equivariant Transformers

Reference 13

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Observation d6cd8b19-eb3a-4172-9539-3e52e190b433 · outbound

This paper cites Vector Neurons: A General Framework for SO(3)-Equivariant Networks.

Geometric Hyena Networks for Large-scale Equivariant Learning Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Reference 14

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Observation 544382bc-5a80-473f-aae4-c83f2197fd13 · outbound

This paper cites Geometric algebra for computer science (revised edition): An object-oriented approach to geometry.

Geometric Hyena Networks for Large-scale Equivariant Learning Geometric algebra for computer science (revised edition): An object-oriented approach to geometry

Reference 15

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Observation fe344d4d-090b-4506-8382-32de080f3fc2 · outbound

This paper cites P., Ma, Z.-M., et al.

Geometric Hyena Networks for Large-scale Equivariant Learning P., Ma, Z.-M., et al

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1a407ea5-8c7d-4e0e-b9cf-638ffc31c967 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Geometric Hyena Networks for Large-scale Equivariant Learning Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 17

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Observation 8c5d04d2-fd67-42c8-ae9f-cfb13e05a336 · outbound

This paper cites Se (3)-transformers: 3d roto-translation equivariant attention networks.

Geometric Hyena Networks for Large-scale Equivariant Learning Se (3)-transformers: 3d roto-translation equivariant attention networks

Reference 18

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Observation 26ac329d-f4ac-4fe8-af11-6b497f9a1332 · outbound

This paper cites S., Riley, P.

Geometric Hyena Networks for Large-scale Equivariant Learning S., Riley, P

Reference 19

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Observation e529f80b-90c6-4b98-9d87-09ef2649297e · outbound

This paper cites Tuning the performance of synthetic riboswitches using machine learning.

Geometric Hyena Networks for Large-scale Equivariant Learning Tuning the performance of synthetic riboswitches using machine learning

Reference 20

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Observation 99a07d0c-0a3c-4eb7-9fbb-3305d996356b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Geometric Hyena Networks for Large-scale Equivariant Learning Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 21

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Observation cfd8acf1-cef0-4e5c-b8f1-ae02bd528b2f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Geometric Hyena Networks for Large-scale Equivariant Learning Efficiently Modeling Long Sequences with Structured State Spaces

Reference 22

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Observation 86e2121d-1955-4bf2-bc0b-a28aef7344da · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers.

Geometric Hyena Networks for Large-scale Equivariant Learning Combining recurrent, convolutional, and continuous-time models with linear state space layers

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d233bbfb-00b0-42a5-a498-3aede2c87a98 · outbound

This paper cites Equivariant graph hierarchy-based neural networks.

Geometric Hyena Networks for Large-scale Equivariant Learning Equivariant graph hierarchy-based neural networks

Reference 24

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Observation 754fb334-1cc8-4dcc-abc9-cf42c1b6132b · outbound

This paper cites C., Karagianes, T.

Geometric Hyena Networks for Large-scale Equivariant Learning C., Karagianes, T

Reference 25

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Observation fc8aef6c-f7d4-4c23-baec-55dcb171daa0 · outbound

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Geometric Hyena Networks for Large-scale Equivariant Learning S., and Ma, T

Reference 26

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Observation d4665ed2-2d38-4cb0-91b6-c37db6c9ffdb · outbound

This paper cites Equivariant Graph Neural Networks for 3D Macromolecular Structure.

Geometric Hyena Networks for Large-scale Equivariant Learning Equivariant Graph Neural Networks for 3D Macromolecular Structure

Reference 27

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Observation db9fad86-f082-49bf-bf52-5f04a4a50444 · outbound

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Geometric Hyena Networks for Large-scale Equivariant Learning Unresolved cited work

Reference 28

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Geometric Hyena Networks for Large-scale Equivariant Learning and Gasteiger, J

Reference 29

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Observation 080bb8be-0cd8-483e-859d-d95e408f7f6d · outbound

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Geometric Hyena Networks for Large-scale Equivariant Learning Pure transformers are powerful graph learners

Reference 30

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Observation ed954245-708b-4076-a210-d1d341446482 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Geometric Hyena Networks for Large-scale Equivariant Learning Adam: A Method for Stochastic Optimization

Reference 31

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Observation ddfa7f2f-c84a-42d1-b095-9016245e3d7e · outbound

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Geometric Hyena Networks for Large-scale Equivariant Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 32

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Observation 7416a841-793d-46c6-af18-9497da9e7ed2 · outbound

This paper cites Equivariant flows: exact likelihood generative learning for symmetric densities.

Geometric Hyena Networks for Large-scale Equivariant Learning Equivariant flows: exact likelihood generative learning for symmetric densities

Reference 33

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Observation 680f7b8b-e761-48d3-9b8e-06efef32a0ac · outbound

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Geometric Hyena Networks for Large-scale Equivariant Learning Rethinking graph transformers with spectral attention

Reference 34

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Observation cc9191ba-b5f5-413e-82cf-59a402be1811 · outbound

This paper cites Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data.

Geometric Hyena Networks for Large-scale Equivariant Learning Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data

Reference 35

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Observation 7eca8bca-8ebd-450f-9ba9-f53a9b739b69 · outbound

This paper cites and Smidt, T.

Geometric Hyena Networks for Large-scale Equivariant Learning and Smidt, T

Reference 36

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raw_fallback, observed 2026-08-07T13:11:54.051686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 497fc091-7145-42ff-8c0d-ce565d732a60 · outbound

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

Geometric Hyena Networks for Large-scale Equivariant Learning SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 37

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Observation 659060d7-7cdf-4ed8-9aa2-5c285de62e22 · outbound

This paper cites an unresolved cited work.

Geometric Hyena Networks for Large-scale Equivariant Learning Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-07T13:11:44.834763Z digest=sha256:86ef8d506740573824a74549f465c07c3c6e44f30dadba750b72d2b3a85426a4

Observation fd825b1d-d0bb-47a0-96b9-3b9a8e681999 · outbound

This paper cites J., and Smeulders, A.

Geometric Hyena Networks for Large-scale Equivariant Learning J., and Smeulders, A

Reference 39

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source=arxiv_source observed=2026-08-07T13:11:44.906253Z digest=sha256:052776caa9be6bae2f430b1514792bb53dcf655121cef101c4cd0cba6aa7438c

Observation 2cfd4b53-1507-471a-ab4b-d804e19d72c9 · outbound

This paper cites Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution.

Geometric Hyena Networks for Large-scale Equivariant Learning Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution

Reference 40

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source=arxiv_source observed=2026-08-07T13:11:44.978626Z digest=sha256:0ba52785bdb8bfdd4443cf1f01f599d8f342e04b2dadae9c7bbb0db1ed65f52b

Observation d8e47549-f78d-437b-9225-4fd653b6e82c · outbound

This paper cites In-context Learning and Induction Heads.

Geometric Hyena Networks for Large-scale Equivariant Learning In-context Learning and Induction Heads

Reference 41

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source=arxiv_source observed=2026-08-07T13:11:45.047075Z digest=sha256:d18f450e5357186fe9cb8477f6d320457a8428b89192702cd90e2d78c5324b5d

Observation 9baca3fd-66ae-418b-aecd-cbe4dae2559f · outbound

This paper cites L., Gu, A., Fernando, A., Gulcehre, C., Pascanu, R., and De, S.

Geometric Hyena Networks for Large-scale Equivariant Learning L., Gu, A., Fernando, A., Gulcehre, C., Pascanu, R., and De, S

Reference 42

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source=arxiv_source observed=2026-08-07T13:11:45.177368Z digest=sha256:843876e335cba8c3e861aaedcd63b96ef84b0159da97fc19bfb8e081cfbd79d4

Observation d2fa48c2-abaf-4dfe-8e74-392698f89ccd · outbound

This paper cites P., Simeon, G., Galvelis, R., Mirarchi, A., Eastman, P., Doerr, S., Thölke, P., Markland, T.

Geometric Hyena Networks for Large-scale Equivariant Learning P., Simeon, G., Galvelis, R., Mirarchi, A., Eastman, P., Doerr, S., Thölke, P., Markland, T

Reference 43

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source=arxiv_source observed=2026-08-07T13:11:45.272508Z digest=sha256:46d1e5691162341510ffabe64ca3dafad0464cc0045afe745ecd14849b38dbf0

Observation 2fe78664-2c67-4407-8169-7945550a8f51 · outbound

This paper cites Y., Dao, T., Baccus, S., Bengio, Y., Ermon, S., and R \'e , C.

Geometric Hyena Networks for Large-scale Equivariant Learning Y., Dao, T., Baccus, S., Bengio, Y., Ermon, S., and R \'e , C

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.354247Z digest=sha256:ba286d3567e813eb7f748e4adf0cf61fe3f4973f72ee201c7e262193c6fb8bb0

Observation f74a95fb-64d4-4eff-98e0-4f557453c850 · outbound

This paper cites W., Nguyen, E., Ponnusamy, P., Deiseroth, B., Kersting, K., Suzuki, T., Hie, B., Ermon, S., Ré, C., Zhang, C., and Massaroli, S.

Geometric Hyena Networks for Large-scale Equivariant Learning W., Nguyen, E., Ponnusamy, P., Deiseroth, B., Kersting, K., Suzuki, T., Hie, B., Ermon, S., Ré, C., Zhang, C., and Massaroli, S

Reference 45

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source=arxiv_source observed=2026-08-07T13:11:45.423615Z digest=sha256:f8b291caf929a66beaa04044922750a1e77d5fd7998fb74fd0cfa243bcd98466

Observation 9c6655e6-84bf-4d4b-a0a3-556d8d58905d · outbound

This paper cites P., Luu, A.

Geometric Hyena Networks for Large-scale Equivariant Learning P., Luu, A

Reference 46

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source=arxiv_source observed=2026-08-07T13:11:45.492078Z digest=sha256:b2426ab065c95d21b565b497d3009c99212d0f6ff3ae7f3d6457a079403d44f3

Observation b7b44462-7026-490e-b2b5-d0cbfcf54361 · outbound

This paper cites CKConv: Continuous Kernel Convolution For Sequential Data.

Geometric Hyena Networks for Large-scale Equivariant Learning CKConv: Continuous Kernel Convolution For Sequential Data

Reference 47

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source=arxiv_source observed=2026-08-07T13:11:45.529206Z digest=sha256:9c2df49ecff638d27f8e0e17497d18bafeffc8fff0055ebf1559683b9440ae39

Observation dfda45c3-5f78-48e3-b4a5-1383a2ce33a6 · outbound

This paper cites and Bahri, C.

Geometric Hyena Networks for Large-scale Equivariant Learning and Bahri, C

Reference 48

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.594913Z digest=sha256:76a70373aa05a831260ac84650c9767f2ed560a53b4b0d91576050b96170dbe0

Observation 44a2e302-d9de-420d-b2de-a39a1b446a2f · outbound

This paper cites Clifford group equivariant neural networks.

Geometric Hyena Networks for Large-scale Equivariant Learning Clifford group equivariant neural networks

Reference 49

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verified fuzzy
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source=arxiv_source observed=2026-08-07T13:11:45.660264Z digest=sha256:df785e85d8e4b7d65c177a7a19dc1c87e37ecf32b1a03d1c6b0e689f869efd07

Observation f145070b-785f-4d83-817f-e9183b353592 · outbound

This paper cites K., De Keninck, S., Welling, M., and Brandstetter, J.

Geometric Hyena Networks for Large-scale Equivariant Learning K., De Keninck, S., Welling, M., and Brandstetter, J

Reference 50

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source=arxiv_source observed=2026-08-07T13:11:45.757010Z digest=sha256:15e67df3c9e469b0c5bb7a0b93bafdfca500a53e3f45b36ae8df893b299fc18d

Observation e5234b9a-b82d-4560-b695-6b4bec69708e · outbound

This paper cites A Survey on Oversmoothing in Graph Neural Networks.

Geometric Hyena Networks for Large-scale Equivariant Learning A Survey on Oversmoothing in Graph Neural Networks

Reference 51

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source=arxiv_source observed=2026-08-07T13:11:45.854852Z digest=sha256:74b6cd0d7efed2e05bb16fd7245d1973642da180614ba3b69cd8257623da53d3

Observation cfc23bec-4c57-465c-b0a2-8475c6bd8b42 · outbound

This paper cites Rna secondary structure prediction using deep learning with thermodynamic integration.

Geometric Hyena Networks for Large-scale Equivariant Learning Rna secondary structure prediction using deep learning with thermodynamic integration

Reference 52

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.928894Z digest=sha256:80215380bcdabc3d4a666d23f48893328154bb323d713a3081919d403163112a

Observation 19b72610-dad1-49ab-b946-48d0bd4327d1 · outbound

This paper cites G., Hoogeboom, E., and Welling, M.

Geometric Hyena Networks for Large-scale Equivariant Learning G., Hoogeboom, E., and Welling, M

Reference 53

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no resolver link, observed 2026-08-07T13:11:46.021667Z

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source=arxiv_source observed=2026-08-07T13:11:46.021667Z digest=sha256:c3f46bc4686b0c1bbafc872406293e6062b116f109ec744d46ec4db5af32c939

Observation 6c82c161-19ee-4c5f-9d4d-4c79636ce67c · outbound

This paper cites Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.

Geometric Hyena Networks for Large-scale Equivariant Learning Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Reference 54

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source=arxiv_source observed=2026-08-07T13:11:46.114752Z digest=sha256:3f0c80271c1e89f0fa4436393d15645bf03c0bc5eb99e094d400f6ff584a69cb

Observation 5ee03497-7a89-4e29-a44f-4f9009dbcac0 · outbound

This paper cites u tt, K., Kindermans, P.-J., Sauceda Felix, H. E., Chmiela, S., Tkatchenko, A., and M \.

Geometric Hyena Networks for Large-scale Equivariant Learning u tt, K., Kindermans, P.-J., Sauceda Felix, H. E., Chmiela, S., Tkatchenko, A., and M \

Reference 55

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source=arxiv_source observed=2026-08-07T13:11:46.209782Z digest=sha256:ec969db38c5f9a1d094ae5a2f9511621d58bd3a932075f12f8acebe08fae8b91

Observation 055d02c1-061e-4b73-9023-3d42dd661140 · outbound

This paper cites and Beckstein, O.

Geometric Hyena Networks for Large-scale Equivariant Learning and Beckstein, O

Reference 56

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source=arxiv_source observed=2026-08-07T13:11:46.313979Z digest=sha256:3a6cadf827b1a8c57ec1a2a4c61cba058f7adb64e69c4fc4fb76fe34b1d76f2d

Observation 06793730-8461-4257-835c-44ce7df95a5d · outbound

This paper cites Accurate RNA 3D structure prediction using a language model-based deep learning approach.

Geometric Hyena Networks for Large-scale Equivariant Learning Accurate RNA 3D structure prediction using a language model-based deep learning approach

Reference 57

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no resolver link, observed 2026-08-07T13:11:46.400690Z

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source=arxiv_source observed=2026-08-07T13:11:46.400690Z digest=sha256:d98bfd5fe23aed15922620a7a97c51b1a7080974c55c4914f8449869382af8d2

Observation ec38b64c-ab6f-4d68-88f4-802b74331d14 · outbound

This paper cites Implicit neural representations with periodic activation functions.

Geometric Hyena Networks for Large-scale Equivariant Learning Implicit neural representations with periodic activation functions

Reference 58

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no resolver link, observed 2026-08-07T13:11:46.495442Z

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source=arxiv_source observed=2026-08-07T13:11:46.495442Z digest=sha256:c9c60688c901be7b5e9d93682c255c093be0b2f84186fe5046bdbd192ab36a15

Observation b0ffeffb-5de7-4704-8994-c0b02fa19af6 · outbound

This paper cites Understanding Virtual Nodes: Oversquashing and Node Heterogeneity.

Geometric Hyena Networks for Large-scale Equivariant Learning Understanding Virtual Nodes: Oversquashing and Node Heterogeneity

Reference 59

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:11:46.588799Z digest=sha256:8eb27995f821ac6547067916fd7aaf061098ad65bc27e2f86817c84f29a02e55

Observation 0ff59d22-2bba-4e49-8adb-abbd6e21dd2d · outbound

This paper cites A., Gil-Ley, A., Pinamonti, G., Poblete, S., Jurecka, P., et al.

Geometric Hyena Networks for Large-scale Equivariant Learning A., Gil-Ley, A., Pinamonti, G., Poblete, S., Jurecka, P., et al

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:51.668780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:46.674765Z digest=sha256:30b48c18e95a2b0f6930eb65b0ebabefc05f4fb7feaadb57d3b6de9410f3bbc7

Observation 3371954a-b4e0-4eee-80b1-c6d381b4aee4 · outbound

This paper cites Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds.

Geometric Hyena Networks for Large-scale Equivariant Learning Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

Reference 61

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source=arxiv_source observed=2026-08-07T13:11:46.765853Z digest=sha256:e4456b34aa288f63818a73158fb915adf1ea065a19ffe074c58559bc2578bf09

Observation 96315550-afe3-49e3-8d09-d99cb8b9bf88 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Geometric Hyena Networks for Large-scale Equivariant Learning N., Kaiser, ., and Polosukhin, I

Reference 62

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source=arxiv_source observed=2026-08-07T13:11:46.851805Z digest=sha256:b0ffaba986f71ba8f73c666ad9e1f1372cf43c6ba35d2f1b519b44bf4cfa8989

Observation 837d8031-1ca9-4cd0-b65c-c48ed8e2a314 · outbound

This paper cites M., Keating, K.

Geometric Hyena Networks for Large-scale Equivariant Learning M., Keating, K

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-07T13:11:51.416184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:46.917393Z digest=sha256:dfe747f9d0799df19f2b2f2d666a16909552047d1d67d4f6d8a9a1fdbc6a159b

Observation f7c6cbca-2e74-4f2a-baee-f984d743b03b · outbound

This paper cites State Space Model for New-Generation Network Alternative to Transformers: A Survey.

Geometric Hyena Networks for Large-scale Equivariant Learning State Space Model for New-Generation Network Alternative to Transformers: A Survey

Reference 64

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source=arxiv_source observed=2026-08-07T13:11:47.039341Z digest=sha256:151e081b21df8b8c0d94122e0c8786e27ca57ee9370de020b2cf394dc7003626

Observation 453c08ed-f56d-47bf-8423-2acda0daa5db · outbound

This paper cites Neural p\ 3\ m: A long-range interaction modeling enhancer for geometric GNN s.

Geometric Hyena Networks for Large-scale Equivariant Learning Neural p\ 3\ m: A long-range interaction modeling enhancer for geometric GNN s

Reference 65

Resolution
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raw_fallback, observed 2026-08-07T13:11:51.139781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.132944Z digest=sha256:09a31d08cf4dd3c5e50b6c412570d41db19bb825d38c12a31baa9ec36d2f80ad

Observation 3f4a3ee6-8356-4684-b11c-829555dd93ca · outbound

This paper cites K., Kladwang, W., Watkins, A.

Geometric Hyena Networks for Large-scale Equivariant Learning K., Kladwang, W., Watkins, A

Reference 66

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raw_fallback, observed 2026-08-07T13:11:50.974726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.222596Z digest=sha256:9ba5eea7c55cb86b24e9981a60afc78f4cb6fc3d0a52fdd1acac0c00120be107

Observation 6259e132-aad6-4450-af5c-0ec4085a9d1f · outbound

This paper cites and Cesa, G.

Geometric Hyena Networks for Large-scale Equivariant Learning and Cesa, G

Reference 67

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no resolver link, observed 2026-08-07T13:11:47.356175Z

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source=arxiv_source observed=2026-08-07T13:11:47.356175Z digest=sha256:828a2e0d23020331de20cc45ff235c7b1c532161caebd40282535160cc527a4a

Observation f3f0819b-9f71-4c28-9bb0-05f26242254d · outbound

This paper cites Pointconv: Deep convolutional networks on 3d point clouds.

Geometric Hyena Networks for Large-scale Equivariant Learning Pointconv: Deep convolutional networks on 3d point clouds

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:50.707059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.428100Z digest=sha256:5c5b8ee9fe8936dc64b542a411f2dddd52ca4edb22c366fd1c9c82192e6e8239

Observation d078769c-6a5b-47fd-85a9-6713f8fc1dae · outbound

This paper cites an unresolved cited work.

Geometric Hyena Networks for Large-scale Equivariant Learning Unresolved cited work

Reference 69

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no resolver link, observed 2026-08-07T13:11:47.519143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:11:47.519143Z digest=sha256:9afdfe5a2c15fd7d6f71a9dd501f37120b3baba82fbc44381bc81e031bb31d06

Observation e0897265-a32a-4e0a-a36b-a9dba9d90427 · outbound

This paper cites B., and Schlick, T.

Geometric Hyena Networks for Large-scale Equivariant Learning B., and Schlick, T

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:50.542406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.652756Z digest=sha256:e2102d88ff87a9e3f1ad961aff193505fc72bdc753a710cdb27b8b901c32e723

Observation a45b1f36-c27c-4dc5-89bd-711c344d5628 · outbound

This paper cites Beyond Sequence: Impact of Geometric Context for RNA Property Prediction.

Geometric Hyena Networks for Large-scale Equivariant Learning Beyond Sequence: Impact of Geometric Context for RNA Property Prediction

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:11:48.836833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.721488Z digest=sha256:80ced54a5c2fe4edb7d2fa0fa24b075bb291b1e1e18654fad58d7e3d38f8fb83

Observation 249f6608-f73e-4e30-9124-18cab251eba1 · outbound

This paper cites HARMONY : A multi-representation framework for RNA property prediction.

Geometric Hyena Networks for Large-scale Equivariant Learning HARMONY : A multi-representation framework for RNA property prediction

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:50.397584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.793546Z digest=sha256:16d7ef9fe37b40878966fd4d8ae817cdfd5c744f236145722db3a058f6dec2f7

Observation 2a1cbe34-10f0-4604-8c73-d1bc93bbd43e · outbound

This paper cites Graphformers: Gnn-nested transformers for representation learning on textual graph.

Geometric Hyena Networks for Large-scale Equivariant Learning Graphformers: Gnn-nested transformers for representation learning on textual graph

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:50.196871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.891896Z digest=sha256:d70b542a38471a1c66c182718d9085e24a02312ec41ce8d8455b1655fe3a6071

Observation e615b7fb-b8a1-44ff-a655-10e51684f1ed · outbound

This paper cites HELM : Hierarchical encoding for m RNA language modeling.

Geometric Hyena Networks for Large-scale Equivariant Learning HELM : Hierarchical encoding for m RNA language modeling

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:49.994378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.992231Z digest=sha256:4fa890dbe8ecc148b6943a97183e376faf7bc8d36bc388322353ff95c880d78b

Observation f89d3c9e-9d33-49fd-bb3f-a29ef69804f7 · outbound

This paper cites Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Geometric Hyena Networks for Large-scale Equivariant Learning Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-07T13:11:48.097484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:11:48.097484Z digest=sha256:418f20e850346f4b20674a6f2b18921c2ff778be2221c443bc6ed746bb115bda

Observation d5a42509-9a80-4435-8ae7-9cc2ad5fe268 · outbound

This paper cites Improving equivariant graph neural networks on large geometric graphs via virtual nodes learning.

Geometric Hyena Networks for Large-scale Equivariant Learning Improving equivariant graph neural networks on large geometric graphs via virtual nodes learning

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:49.859645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.182908Z digest=sha256:54d63df14867bc45f090a7cd514ec04a25fd0c7356d4d4fe6fa875e26834ec6e

Observation 7c0b54cf-1a81-42ee-93f9-bf6f2fefc8fd · outbound

This paper cites Implicit convolutional kernels for steerable cnns.

Geometric Hyena Networks for Large-scale Equivariant Learning Implicit convolutional kernels for steerable cnns

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:49.685823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.304609Z digest=sha256:f111f50341f4a8e2cc5cb084e8f4139038209f8df3c46d8540768d04e821a328

Observation 6c53caba-1977-475f-9568-c2f09dade115 · outbound

This paper cites Clifford-steerable convolutional neural networks, 2024 b.

Geometric Hyena Networks for Large-scale Equivariant Learning Clifford-steerable convolutional neural networks, 2024 b

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:49.491113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.383116Z digest=sha256:a7bf9309457b3688511c12c5150763b1acb38f5960138a31782c571bc6d821fb

Observation bf3914c5-29c3-43dd-b38a-57351d8e827e · outbound

This paper cites Erwin: A tree-based hierarchical transformer for large-scale physical systems.

Geometric Hyena Networks for Large-scale Equivariant Learning Erwin: A tree-based hierarchical transformer for large-scale physical systems

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:11:49.312725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.493780Z digest=sha256:2f272347abeb92cb980e19193b3b744d6ea37687e2b5791a251319b71c2ff422

Observation aca0d723-b993-4306-9abe-93116db076e9 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

Geometric Hyena Networks for Large-scale Equivariant Learning Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T13:11:48.611106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:11:48.611106Z digest=sha256:b593c180b02bea92d40727cb0dfa84809fa066405807a54e65e2c0dcec205e13

Pith citing papers

Observation 45eb6947-5c2d-4e79-aba2-942160608328 · inbound

Platonic Transformers: A Solid Choice For Equivariance cites this paper.

Platonic Transformers: A Solid Choice For Equivariance Geometric Hyena Networks for Large-scale Equivariant Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T12:27:30.761467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:27:30.761467Z digest=sha256:ff4e5077ff13fe2dd0cf790310d58f9e238beb656d4927986db480cc14cba1dc