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Paper Citation Record · LEDGER

Geometric Hyena Networks for Large-scale Equivariant Learning

As of 19 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 2026-08-18T06:34:40.430872+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
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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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Source-reported events for the cited work

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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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

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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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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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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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Source-reported events for the cited work

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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

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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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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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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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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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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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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=sha256:263219a3a96ef0b6e798a987022456165257c11c813c80ab17b2cc26ab16110d

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=sha256:21ba17f110090a6862e46daba258dc9106bd6d284fbdbae927e862dc7569de3d

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.354247Z digest=sha256:f1f6b8a7f985f0a62d95e2e27ee598a202c9236fdd798a3b3c69394a1dedbba8

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.423615Z digest=sha256:7b2182e814b5f27a1d15de3420beae357189a52cedccc2438d9000208ce9893f

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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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=sha256:43311e39e99e31b930f9a17690f99fc93626fb0012da2b731cb2967bdb5a21fe

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

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.594913Z digest=sha256:5bcf7f6f96bcb2b2f3b7abb4a5f91e61b92b787071f5f7ce9012b2fefbab6aae

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

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.660264Z digest=sha256:b99527a30a18ded953cc295e2cde3c2078dafa24ec64fa22f5b0cb330fea0dae

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

Resolution
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.757010Z digest=sha256:fffd3b61d048665938a6f8483e6684177a053be242e469d4de1e831ca00a560f

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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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:45.928894Z digest=sha256:03a9be0e76139e4cff6200ac8edf424629ff8c5d54239893987195544e6a5e8d

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=sha256:9a86928678cbca09d2c305913a91ac815ce01dbe5035de17e206f3c72bcd7ccb

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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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=sha256:7556b85bc5d6715b2dc92389211ce1c5c25129259f37e4cd31dadd80f2d46abc

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=sha256:0aec71f9d19d1826ce46202a98fb4d3ff8a2c15a3e83611d8e8e66b04ba05549

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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source=arxiv_source observed=2026-08-07T13:11:46.400690Z digest=sha256:6fc1b5646a70bff4948ee99d7a9745628b3851f3e28f71e25e47b4e74581b71a

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

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

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:11:46.495442Z digest=sha256:05d217728a28ef0ab1e8958536da154ac167169e16dc807942d347df6aa23dd4

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

Resolution
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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=sha256:740a0cae2a5e48fd680586281a0ab8e1db7921162152b9adc8ab4aaeae020a98

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:46.674765Z digest=sha256:f0a139128fdb5176756a5911ea236cfc02753a704b84902dd41c518e734d4863

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=sha256:5b5a97b3d8dc854dc8e8a5819f5cb76456bfda2ee9721e17ce04cb7778ab0052

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=sha256:91861c5e6683a7d071e1315a5a5e1355fac819730271305ef6b450da10d4e575

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

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:46.917393Z digest=sha256:3ac7b7b97a335e12c9092c371c91c35e873d55b2bb4275a41be7ffb8c87c9b80

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=sha256:493b213cc6619dbde626d5767ceff731be9468028eebc2a08c0644ec630d0dcd

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
verified fuzzy
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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.132944Z digest=sha256:94aa63cd8b0a1ae3f00950eb49561f6964753dbfa1243ac4c3cc5e4c8ffec277

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.222596Z digest=sha256:73feb880d9fadeb6c1d95c462e9acbf0bc61c42eb12c73ff55712fa0205a3c76

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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source=arxiv_source observed=2026-08-07T13:11:47.356175Z digest=sha256:9b0784d17f4e48c3c9a3ec3897d20684d5827281ee3f13190b700fa67022f370

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.428100Z digest=sha256:fb8937c8fc603b5cd067e8c84b1f68721bae6e9106a601c7012afe40329555c4

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=sha256:50c79009840e44177ee8f8db59ebf4b8e1f449e27885008aaf31c70cc1d32404

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

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.652756Z digest=sha256:1c0526fe963481940243e134f0e3738f1460448f378ffc5ea8c866142c0b6720

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.721488Z digest=sha256:dbf4bfcfbab394e95bdbd02737c06c5d0cbd1bc27e7953069912c3fe9a7af970

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.793546Z digest=sha256:2c1350acdb72c802f911724504b4cfee7653c21398bd221010cc6be21479f14c

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 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:47.992231Z digest=sha256:f905e55737e4a9b6dec7947607188d1f49ae1e1e224e7be8b629288c4b579dfa

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=sha256:1fcaf11ef2f73f1014fb3152a3c6f15e82e831ea550aca60b295a91db78311f2

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 2026-08-18T06:34:40.430872+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.304609Z digest=sha256:b515433cbcf7aa4cd4f3c4d5b5a2fba3735fa9ee0c9b52a5590804b6d240fb8c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.383116Z digest=sha256:bf8a9e5d6534f7b4350122a32126b9f9b332f75f7363075a773a4bb1ae8f3aaa

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:11:48.493780Z digest=sha256:3e160bdfed88c01b33d1d1aceddc93e8f446ced5f3049dcf6c74bb482e34370c

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=sha256:71602221e2148c6ef24e73b8087cb917a4d7b3554b4b7f09004bf389e8355643

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

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Unavailable: canonical work link unavailable.

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