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Paper Citation Record · LEDGER

Group Downsampling with Equivariant Anti-aliasing

As of 17 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2504.17258.

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

pith.paper-citation-record.v1
2504.17258 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:54:53.492019Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

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  • verified fuzzy63
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2cf573f-79ca-4251-8416-dd77ad695c82 · outbound

This paper cites write newline.

Group Downsampling with Equivariant Anti-aliasing write newline

Reference 1

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.004769Z digest=sha256:e5928ee09b6f6c3af149d35f019fbf5190eeb9e638eda66b3c78ff4c2402cf2d

Observation ddb99d4b-4dae-4a3b-8636-d1204a799a57 · outbound

This paper cites Roto-translation covariant convolutional networks for medical image analysis.

Group Downsampling with Equivariant Anti-aliasing Roto-translation covariant convolutional networks for medical image analysis

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 996eff96-3725-46d1-a7aa-335923c013a5 · outbound

This paper cites A program to build E(N) -equivariant steerable CNNs.

Group Downsampling with Equivariant Anti-aliasing A program to build E(N) -equivariant steerable CNNs

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e66a05dd-7072-4133-b2e5-9b996414d4fc · outbound

This paper cites Truly shift-invariant convolutional neural networks.

Group Downsampling with Equivariant Anti-aliasing Truly shift-invariant convolutional neural networks

Reference 4

Resolution
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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-16T10:54:53.036464Z digest=sha256:a39d1cfcb2c2e9938e16345b4aa0354b5a1d3683f9f48cb6203b4d08b1c3b19f

Observation 743e2385-28ca-4066-b870-8b2831c4a674 · outbound

This paper cites Sampling theory for graph signals.

Group Downsampling with Equivariant Anti-aliasing Sampling theory for graph signals

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 43e124c3-7f14-410d-a4c2-b81a16fe952f · outbound

This paper cites Discrete signal processing on graphs: Sampling theory.

Group Downsampling with Equivariant Anti-aliasing Discrete signal processing on graphs: Sampling theory

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e728ffc4-a413-4fcb-bf46-0d53005aaf67 · outbound

This paper cites An analysis of single-layer networks in unsupervised feature learning.

Group Downsampling with Equivariant Anti-aliasing An analysis of single-layer networks in unsupervised feature learning

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6e91d549-16de-4b08-a677-2b62d8b0f6a3 · outbound

This paper cites Group equivariant convolutional networks.

Group Downsampling with Equivariant Anti-aliasing Group equivariant convolutional networks

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.063806Z digest=sha256:fa96230668fd552cebaba1f2e7f07951a77d0e4fcdd5b4d5a72d8d28463a46c8

Observation 9fe113f2-9cd0-4290-afbf-d212471ae815 · outbound

This paper cites Steerable CNNs.

Group Downsampling with Equivariant Anti-aliasing Steerable CNNs

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.068750Z digest=sha256:14b3aadb896c17166baec03bd1b26d5e65d2daec6c3c07633e7abc7cbc4f7ee6

Observation 019a337a-c666-442e-aeb1-cef9d65d9eda · outbound

This paper cites A general theory of equivariant CNNs on homogeneous spaces.

Group Downsampling with Equivariant Anti-aliasing A general theory of equivariant CNNs on homogeneous spaces

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 004ba2d9-c505-482c-906d-4830d86942c0 · outbound

This paper cites The MNIST database of handwritten digit images for machine learning research.

Group Downsampling with Equivariant Anti-aliasing The MNIST database of handwritten digit images for machine learning research

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 433f2ddc-a6b9-4992-b467-b16fdf51006c · outbound

This paper cites Groups and the sampling theorem.

Group Downsampling with Equivariant Anti-aliasing Groups and the sampling theorem

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c7a143bb-25e4-4850-aa6c-562f9505ef2a · outbound

This paper cites Learning Laplacian matrix in smooth graph signal representations.

Group Downsampling with Equivariant Anti-aliasing Learning Laplacian matrix in smooth graph signal representations

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cf05f9ae-2e14-44c7-8dd9-a331891e1ddc · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Group Downsampling with Equivariant Anti-aliasing An image is worth 16x16 words: Transformers for image recognition at scale

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 44caf76b-2e64-4d11-8d02-da98e75612ea · outbound

This paper cites A new perspective on building efficient and expressive 3D equivariant graph neural networks.

Group Downsampling with Equivariant Anti-aliasing A new perspective on building efficient and expressive 3D equivariant graph neural networks

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3b40e15e-965b-42b5-a3ce-e028970ccd08 · outbound

This paper cites A generalized sampling theorem for locally compact abelian groups.

Group Downsampling with Equivariant Anti-aliasing A generalized sampling theorem for locally compact abelian groups

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 992f74ea-8dad-4f01-ac99-845b63c1f462 · outbound

This paper cites A course in abstract harmonic analysis.

Group Downsampling with Equivariant Anti-aliasing A course in abstract harmonic analysis

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3a3d6cb9-1c89-43a8-bbd0-575c4863bbeb · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Group Downsampling with Equivariant Anti-aliasing Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1767b2a3-0c15-4ff2-998f-9c4207c623ec · outbound

This paper cites The lie derivative for measuring learned equivariance.

Group Downsampling with Equivariant Anti-aliasing The lie derivative for measuring learned equivariance

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 47c2ff3b-9a1b-4aa0-be3f-f65dac9aecc7 · outbound

This paper cites Deep models of interactions across sets.

Group Downsampling with Equivariant Anti-aliasing Deep models of interactions across sets

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f460ac5e-d7ba-4533-a640-c2f3fb34c525 · outbound

This paper cites Deep residual learning for image recognition.

Group Downsampling with Equivariant Anti-aliasing Deep residual learning for image recognition

Reference 21

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.146853Z digest=sha256:85dac5e1fa24d1735cb43fe9094c3a276ddf1e2dd7caae89649213b5811fae4d

Observation c137e07e-eaf7-4cf8-ab52-d46e7bf9133f · outbound

This paper cites Algebra: a graduate course, volume 100.

Group Downsampling with Equivariant Anti-aliasing Algebra: a graduate course, volume 100

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cc033cb7-f9c5-4182-9351-0c26253de8bb · outbound

This paper cites Alias-free generative adversarial networks.

Group Downsampling with Equivariant Anti-aliasing Alias-free generative adversarial networks

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6066743f-8ae5-400b-adf2-5e86065564e9 · outbound

This paper cites On the generalization of equivariance and convolution in neural networks to the action of compact groups.

Group Downsampling with Equivariant Anti-aliasing On the generalization of equivariance and convolution in neural networks to the action of compact groups

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 13a32910-0f0b-4cff-8df5-c672451a946c · outbound

This paper cites A software package for sequential quadratic programming.

Group Downsampling with Equivariant Anti-aliasing A software package for sequential quadratic programming

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2b007e7d-0b17-4035-91bd-dfeb9fdad797 · outbound

This paper cites Learning multiple layers of features from tiny images.

Group Downsampling with Equivariant Anti-aliasing Learning multiple layers of features from tiny images

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9aab1663-ecc4-4442-ac58-8117f66fa3c6 · outbound

This paper cites Object recognition with gradient-based learning.

Group Downsampling with Equivariant Anti-aliasing Object recognition with gradient-based learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.485955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 97906b8f-f2b2-470f-b329-de57c2ea51ed · outbound

This paper cites Equiformer: Equivariant graph attention transformer for 3d atomistic graphs.

Group Downsampling with Equivariant Anti-aliasing Equiformer: Equivariant graph attention transformer for 3d atomistic graphs

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.466136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.197619Z digest=sha256:b2e45b458d1af2be033bc7176fc15ed68d2f2216cb8c8b3d40cd85bf1610d8d4

Observation 4ddcb3b3-1394-4cc4-884e-72a0bca38f84 · outbound

This paper cites PIC : permutation invariant critic for multi-agent deep reinforcement learning.

Group Downsampling with Equivariant Anti-aliasing PIC : permutation invariant critic for multi-agent deep reinforcement learning

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.444537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.203697Z digest=sha256:2270309a39fd93aec05ad4c83b586b0171c42a8c89cbe704ec5618c53e89e15a

Observation dbc1e145-868a-48ee-ac81-c7358d93fea7 · outbound

This paper cites Semantic tracklets: An object-centric representation for visual multi-agent reinforcement learning.

Group Downsampling with Equivariant Anti-aliasing Semantic tracklets: An object-centric representation for visual multi-agent reinforcement learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.421754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.208796Z digest=sha256:5512a70e71b9915ab0ef960c6a2a1c1d0966f82e5d284121bc029e00be289157

Observation 5c8fa92e-3b12-4f45-a84d-4caa3b9a3dda · outbound

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

Group Downsampling with Equivariant Anti-aliasing Swin transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.400088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.214585Z digest=sha256:8a2feb9e07036c4a41fe0fb1688ce7fc99d0df66c043a005fcb70da4a8aa8475

Observation 6927b26b-8cc8-4eb6-8aea-210ced02173b · outbound

This paper cites A ConvNet for the 2020s.

Group Downsampling with Equivariant Anti-aliasing A ConvNet for the 2020s

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.377184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.222582Z digest=sha256:8a92aee0c1788643fd59c0ba253cbad67c6c8c7f252dcac2bfcbdcbebd75eb75

Observation 36eb4da3-f486-4efa-b63b-c352afdccce8 · outbound

This paper cites Invariant and equivariant graph networks.

Group Downsampling with Equivariant Anti-aliasing Invariant and equivariant graph networks

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.354743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.228752Z digest=sha256:048f4bcf074f754192092c29e1c14e51310fd01728baa78ca7f432abb5d1a2bf

Observation a18ea53e-5ed1-42e1-907c-fabd31e49f20 · outbound

This paper cites A novel sampling theorem on the rotation group.

Group Downsampling with Equivariant Anti-aliasing A novel sampling theorem on the rotation group

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.331207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.236004Z digest=sha256:1489d835e7db6714c278b92dd3b4ef6330cb1edd3e20241d8a1cd76ff047a5e3

Observation b8a00813-3e6f-41e7-89db-bea0b3869282 · outbound

This paper cites S peq N ets: Sparsity-aware permutation-equivariant graph networks.

Group Downsampling with Equivariant Anti-aliasing S peq N ets: Sparsity-aware permutation-equivariant graph networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.309628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.243191Z digest=sha256:4f5bf04bdb191812ac1bc14ecfdb4ddc59a6d5ae0e15d0eb9d611e283e8f4a6e

Observation 6fd4e6f6-4d32-4395-bed7-f29607881367 · outbound

This paper cites Neural networks for learning counterfactual G -invariances from single environments.

Group Downsampling with Equivariant Anti-aliasing Neural networks for learning counterfactual G -invariances from single environments

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.283746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.249669Z digest=sha256:8cc3c1d3d198b73f8b110c9eb05ba7da36f4c0f772c7b0888e15295b5a5fb532

Observation 281d4266-5b6e-4fd7-a73f-4057cb3d983d · outbound

This paper cites Geometric invariant theory.

Group Downsampling with Equivariant Anti-aliasing Geometric invariant theory

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.264942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.257784Z digest=sha256:ae1e9b16d317059f4f7a5232076cc1475c7ac2e9c24d96e1dfbac8c0b6d23029

Observation 3981c8d1-b288-47a2-bbc1-27ee55a04d24 · outbound

This paper cites Cyclic spectral analysis of continuous-phase modulated signals.

Group Downsampling with Equivariant Anti-aliasing Cyclic spectral analysis of continuous-phase modulated signals

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.242644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.265094Z digest=sha256:6fa2846d38231ccd01dae4f541a565ffb19909a5dad0a686d77949bcde0daea2

Observation 246bd03a-44cb-46ba-8857-e2b92e820c90 · outbound

This paper cites The completeness of the primitive representations of a closed continuous group.

Group Downsampling with Equivariant Anti-aliasing The completeness of the primitive representations of a closed continuous group

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.221720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.271774Z digest=sha256:a2d4649cbdfaccf9d96d22c7284ad53c980bc97a9fc7f48b0e0f542b74770c49

Observation 993d86aa-6752-4638-ab33-2c97c99717eb · outbound

This paper cites Truly scale-equivariant deep nets with Fourier layers.

Group Downsampling with Equivariant Anti-aliasing Truly scale-equivariant deep nets with Fourier layers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.194595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.277417Z digest=sha256:3d727bb2895b202ddead6704172e9cdcfc752c8bef66f596c95259fe0e698a9d

Observation 6f1beeda-1e0e-475c-9fd0-1a03e79d6118 · outbound

This paper cites Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, and Anima Anandkumar.

Group Downsampling with Equivariant Anti-aliasing Yeh, Jean Kossaifi, Kamyar Azizzadenesheli, and Anima Anandkumar

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.173157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.283536Z digest=sha256:5854d581a7a9e8421e4e9d500d453647890ccb8d236d1e4d77bf66e989690291

Observation dc98eb68-6ade-4adb-8c39-795e3419f3fc · outbound

This paper cites Deep learning with sets and point clouds.

Group Downsampling with Equivariant Anti-aliasing Deep learning with sets and point clouds

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.154095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.289560Z digest=sha256:ba4dd61f9afa998c429e96cbe29ada02a44481126aa1b4629fb6bc1613486e96

Observation b374ce22-ae1d-4798-b366-4ec50c6b25f6 · outbound

This paper cites Learnable polyphase sampling for shift invariant and equivariant convolutional networks.

Group Downsampling with Equivariant Anti-aliasing Learnable polyphase sampling for shift invariant and equivariant convolutional networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.134556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.296366Z digest=sha256:783eadedc8e8a00b570c0fd959140b66788c76a6ce5f3093f282c9eba780bcc0

Observation a6b47e72-ac08-4ae5-a5c9-f445d1606e4b · outbound

This paper cites Making vision transformers truly shift-equivariant.

Group Downsampling with Equivariant Anti-aliasing Making vision transformers truly shift-equivariant

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.109669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.306911Z digest=sha256:3d6cab47c59a764a92022115a5a9ed5eb1072fead4b46ab8dd3f3164d8031867

Observation 521b63ba-3a47-4f6e-8c34-95fb7702e770 · outbound

This paper cites Romero and Jean-Baptiste Cordonnier.

Group Downsampling with Equivariant Anti-aliasing Romero and Jean-Baptiste Cordonnier

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.086523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.315390Z digest=sha256:302b845ddcd6e623d504205b83e4bce20b29d206dd090d60dfcc30cd8b758003

Observation 49a75fef-1995-4a54-ab54-d63b82e29c8e · outbound

This paper cites Communication in the presence of noise.

Group Downsampling with Equivariant Anti-aliasing Communication in the presence of noise

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.063427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.321293Z digest=sha256:53bc0769c3adfd4b2c39ea2c7595fa6cc5871663ebd932b3168e61a6fa73434d

Observation 230a5ed9-8ef1-4519-af64-ca00d7e48554 · outbound

This paper cites The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains.

Group Downsampling with Equivariant Anti-aliasing The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.037299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.326603Z digest=sha256:ea70a43a0455f646d5ae4e1d01490d759957703fae9d0ee320806185415dedee

Observation 863dac85-b6c3-4af6-9fb0-c2a0523932fc · outbound

This paper cites Fourier analysis on finite groups with applications in signal processing and system design.

Group Downsampling with Equivariant Anti-aliasing Fourier analysis on finite groups with applications in signal processing and system design

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:54.016947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.331964Z digest=sha256:109c65f0050a15502e8eb943c0424d215c5ce0a1fa6f3946f99bfbf3f87d138c

Observation 032b0c1c-dbb7-4731-8292-acea64cc7962 · outbound

This paper cites Equivariant transformer networks.

Group Downsampling with Equivariant Anti-aliasing Equivariant transformer networks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.993882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.338836Z digest=sha256:4e9243b6fb233932a05861904a60ee1217a86686ca2c9f0fb4b4f297ddc3f5b2

Observation 0e1720ab-52ad-45c3-9cad-4fad470c07c7 · outbound

This paper cites Cyclic LTI systems in digital signal processing.

Group Downsampling with Equivariant Anti-aliasing Cyclic LTI systems in digital signal processing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.974259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.344730Z digest=sha256:f78e5ba622da708e329847ef25d6814b95c23a2cee50d7dd024d4b4e9bacce1a

Observation 227e2560-9fda-4603-9511-0e5e0b8827b2 · outbound

This paper cites Impact of aliasing on generalization in deep convolutional networks.

Group Downsampling with Equivariant Anti-aliasing Impact of aliasing on generalization in deep convolutional networks

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.955957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.354916Z digest=sha256:75bc3179c587a9526c7b2b535df4412e4919b78c66ab22a72614900fd409fd81

Observation ebd64c5d-2b5e-4658-8495-0c150d52cafb · outbound

This paper cites Foundations of signal processing.

Group Downsampling with Equivariant Anti-aliasing Foundations of signal processing

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:53.362050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.362050Z digest=sha256:aab7037032fff350b7a88a06a1627c3ee45ee5f1c4529ed71110b6b3e2689982

Observation 5a1be088-41bb-4d60-9689-67e4ef89fcb2 · outbound

This paper cites A general theory of correct, incorrect, and extrinsic equivariance.

Group Downsampling with Equivariant Anti-aliasing A general theory of correct, incorrect, and extrinsic equivariance

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.926152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.368682Z digest=sha256:300f47757f7846b21ed837c728f768c3a1010edaa840019ea0e1d3d810222efe

Observation 2dbac473-bc19-4274-aa07-5cf8d48a511e · outbound

This paper cites General E(2) -equivariant steerable CNNs.

Group Downsampling with Equivariant Anti-aliasing General E(2) -equivariant steerable CNNs

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.909394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.378430Z digest=sha256:8ea233f6059cdd6bbb333ff964517ebea4a86d3b84358ea2842853998661650c

Observation 6f8e9dcd-dae4-408f-8d3f-4abef34a6419 · outbound

This paper cites Learning steerable filters for rotation equivariant CNNs.

Group Downsampling with Equivariant Anti-aliasing Learning steerable filters for rotation equivariant CNNs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.888498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.384833Z digest=sha256:4af3ffd76ec2c596d37462d4f0550a08a61f8e96fa8de5c373dc332f8a594a98

Observation 9a01bddd-7a2b-4893-b7ef-da50aebbf32c · outbound

This paper cites Deep scale-spaces: Equivariance over scale.

Group Downsampling with Equivariant Anti-aliasing Deep scale-spaces: Equivariance over scale

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.867090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.391518Z digest=sha256:1d675902d4d0b5f79a92a36386e7ea457b80e680dac5766a3bd3852e2efc357d

Observation f889dd79-4ca2-4c70-959b-7820d0c3a97e · outbound

This paper cites CvT : Introducing convolutions to vision transformers.

Group Downsampling with Equivariant Anti-aliasing CvT : Introducing convolutions to vision transformers

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.844646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.396466Z digest=sha256:94b7fd627024ee74b0dc188db2305d5d50b8d1d3de6c18b94dc55fb108759bb0

Observation 037335ee-254c-4979-bf61-df216ce3ef6d · outbound

This paper cites Group equivariant subsampling.

Group Downsampling with Equivariant Anti-aliasing Group equivariant subsampling

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.820582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.403741Z digest=sha256:232487cbd8dfc4c3a48fd0d360600397873858b79ccb2ee8766af59b729f68fa

Observation 15b3eba3-919c-49c4-83de-2450421fcaf6 · outbound

This paper cites E (2) -equivariant vision transformer.

Group Downsampling with Equivariant Anti-aliasing E (2) -equivariant vision transformer

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.801821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.408946Z digest=sha256:b50e50635c0600544a46fd7beb62d58280c1e0f98666a01697b14f38f7f04b9b

Observation 2cafdfd1-fb35-4958-a7c4-4a8c198c6302 · outbound

This paper cites Deep nets with subsampling layers unwittingly discard useful activations at test-time.

Group Downsampling with Equivariant Anti-aliasing Deep nets with subsampling layers unwittingly discard useful activations at test-time

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.776774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.415974Z digest=sha256:ee5d3a9c4a68547510bda9cb242b0f877e79ff9edb1e8a61a81cdc9c94336d94

Observation fb716160-7497-439f-87c0-4b758c77dc92 · outbound

This paper cites Chirality nets for human pose regression.

Group Downsampling with Equivariant Anti-aliasing Chirality nets for human pose regression

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.755855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.424671Z digest=sha256:d48e386b6e4668f3816a4a86e05965502a2ae54627d60d3ec4a715dc463395b9

Observation e8fc33f2-fab7-4707-ad8e-2358c85c4341 · outbound

This paper cites Diverse generation for multi-agent sports games.

Group Downsampling with Equivariant Anti-aliasing Diverse generation for multi-agent sports games

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.736128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.431876Z digest=sha256:8681a45cdd5f24050526ffe2dd7678b4b16dad65f35cc4c2322cc6b44bc9ecdb

Observation 8688d97b-35cb-4e20-8f44-b0c5d8b0ec19 · outbound

This paper cites Equivariance discovery by learned parameter-sharing.

Group Downsampling with Equivariant Anti-aliasing Equivariance discovery by learned parameter-sharing

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.712408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.437690Z digest=sha256:d97e12b20a3e4d809b05ca073148cea6bd728a587cf8d2718704be659925d517

Observation 8ede1dce-cfb8-4e0c-8bbe-3dc32621a4cf · outbound

This paper cites Deep sets.

Group Downsampling with Equivariant Anti-aliasing Deep sets

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.690909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.443694Z digest=sha256:3b31ba644a2e0a771cb2f9a4d108b7770a3dcaa745a46d31bb9c3ad7f0979e44

Observation 22c67ef6-967b-4f40-a313-e2848ce313a2 · outbound

This paper cites Dive into deep learning.

Group Downsampling with Equivariant Anti-aliasing Dive into deep learning

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.667327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.449316Z digest=sha256:654ea8ae5e42be77f03d3b616aea371daaf222b1f4e8d0bd20d03ea3249a9126

Observation 482ca4e9-74fc-48d7-aae8-9edd198d61be · outbound

This paper cites Making convolutional networks shift-invariant again.

Group Downsampling with Equivariant Anti-aliasing Making convolutional networks shift-invariant again

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.648632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.459705Z digest=sha256:db3e7a6a71d4f740ca107e6d9aac223426bf3dad0197d0086395f64ba292b874

Observation 4a38da77-7f5c-4c60-880a-a1cdf9338b45 · outbound

This paper cites Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling.

Group Downsampling with Equivariant Anti-aliasing Frequency Pooling: Shift-Equivalent and Anti-Aliasing Downsampling

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:54:53.578759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.465486Z digest=sha256:8b71637da47eed5a8cb059d4f2eaef801d0aa8975fd098a46d02895747c4dce6

Observation 6cc8bce5-ee43-4e94-ab7b-aacdfe613547 · outbound

This paper cites Delving deeper into anti-aliasing in ConvNets.

Group Downsampling with Equivariant Anti-aliasing Delving deeper into anti-aliasing in ConvNets

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:54:53.628782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T10:54:53.472110Z digest=sha256:c61b3ceeed9e2e8fb28a5fee34c297d66a7a281935d6b22659825f22d7f6ea4d

Observation 45ceccb5-ec2a-4952-80b2-1012b47d188e · outbound

This paper cites @esa (Ref.

Group Downsampling with Equivariant Anti-aliasing @esa (Ref

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:53.479076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.479076Z digest=sha256:a7432ac36f316a4e538410ec3a242c1f4d992ffd0c18a4c17d01b341a47fa0c3

Observation b1db7736-fb8f-484b-9c28-93632d85c04c · outbound

This paper cites an unresolved cited work.

Group Downsampling with Equivariant Anti-aliasing Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:53.485110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.485110Z digest=sha256:9922d70dbabe2cfd9fe77a7293c2007fdfa3ea0593946ad5c9c7cb6a2762c729

Observation 05901831-368f-42f2-8360-9c1c80937f2e · outbound

This paper cites The Lie Derivative for Measuring Learned Equivariance.

Group Downsampling with Equivariant Anti-aliasing The Lie Derivative for Measuring Learned Equivariance

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T10:54:53.492019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:54:53.492019Z digest=sha256:3f23ad6097f010475459b8db1bcae8b545efa44c4273845aea9fb172edba0467

Pith citing papers

No inbound Pith citation observations are available.