Paper Citation Record · LEDGER

Group Equivariant Convolutional Networks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:1602.07576.

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

pith.paper-citation-record.v1
1602.07576 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:03:00.393119Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

586
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4821418a-ea13-47de-af68-fa2b7006bc8e · inbound

On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing cites this paper.

On the Sample Complexity of One Hidden Layer Networks with Equivariance, Locality and Weight Sharing Group Equivariant Convolutional Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-12T15:36:20.050365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8152405e-ecf2-4afb-99cc-f852142ee159 · inbound

Equivariant Action Sampling for Reinforcement Learning and Planning cites this paper.

Equivariant Action Sampling for Reinforcement Learning and Planning Group Equivariant Convolutional Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:18.602624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd1e6509-df0a-4ba5-8c42-d05858a29033 · inbound

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics cites this paper.

Physics-Driven Learning for Inverse Problems in Quantum Chromodynamics Group Equivariant Convolutional Networks

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T21:15:54.463356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d39c6e60-88ce-4689-9ab1-c8f172e30f2f · inbound

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks cites this paper.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Group Equivariant Convolutional Networks

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T15:30:28.784210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a7f2e3-6afa-4652-8d63-d5254b72b110 · inbound

Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation cites this paper.

Exploring Group Convolutional Networks for Sign Problem Mitigation via Contour Deformation Group Equivariant Convolutional Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T23:33:39.673947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf759ab4-1098-4d5a-a6d3-3413ddead192 · inbound

Attention on the Sphere cites this paper.

Attention on the Sphere Group Equivariant Convolutional Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T21:03:00.393119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a725f05d-ba25-4c98-8ead-d870c8bd3d7b · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

Symmetry-preserving neural networks in lattice field theories Group Equivariant Convolutional Networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:36.200164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b490c56-cc0e-46c4-9844-30465d88c22d · inbound

Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising cites this paper.

Enhancing Galaxy Classification with U-Net Variational Autoencoders for Image Denoising Group Equivariant Convolutional Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:34.689010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85bcf29-f152-41a8-bff2-aba026d06982 · inbound

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale cites this paper.

FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Group Equivariant Convolutional Networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T16:59:58.557217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfa0635f-b8d2-465b-bdbb-56b00084412a · inbound

Interpretable Nanoporous Materials Design with Symmetry-Aware Networks cites this paper.

Interpretable Nanoporous Materials Design with Symmetry-Aware Networks Group Equivariant Convolutional Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T16:08:39.164871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5d4df68-daf2-472f-8cd7-54303ef25d8a · inbound

Application of deep neural networks for computing the renormalization group flow of the two-dimensional phi^4 field theory cites this paper.

Application of deep neural networks for computing the renormalization group flow of the two-dimensional phi^4 field theory Group Equivariant Convolutional Networks

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-18T09:11:09.863219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6f79a012-2f04-4288-a6b5-3cbe9084827b · inbound

Toward Manifest Relationality in Transformers via Symmetry Reduction cites this paper.

Toward Manifest Relationality in Transformers via Symmetry Reduction Group Equivariant Convolutional Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T21:52:35.274209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba8a99d-38b7-49fe-a411-ca467c9af62d · inbound

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation cites this paper.

D$_4$CNN$\times$AnaCal: Physics-Informed Machine Learning for Accurate and Precise Weak Lensing Shear Estimation Group Equivariant Convolutional Networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T05:53:08.891384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac03a9b5-ae20-4a25-aa55-b42819e7af54 · inbound

Disk-like galaxies at 4 < z < 7.7 : JWST/NIRCam morphologies revealed by denoising VAE-GCNN classification cites this paper.

Disk-like galaxies at 4 < z < 7.7 : JWST/NIRCam morphologies revealed by denoising VAE-GCNN classification Group Equivariant Convolutional Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:55:04.103322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6de04b1-06c2-4f85-9628-23332ab6d7cb · inbound

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories cites this paper.

Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories Group Equivariant Convolutional Networks

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:24:43.005586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4825fa55-6f7f-463e-bb7e-62cedb39c7ef · inbound

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories cites this paper.

Graph Neural Networks in the Wilson Loop Representation of Abelian Lattice Gauge Theories Group Equivariant Convolutional Networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:25.227304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f49c44cd-0bdd-4838-b31f-1a354db1a583 · inbound

Operator Spectroscopy of Trained Lattice Samplers cites this paper.

Operator Spectroscopy of Trained Lattice Samplers Group Equivariant Convolutional Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:57:06.586666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d13b4c8-a54d-4801-a363-14b3a3b3886a · inbound

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.

Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Group Equivariant Convolutional Networks

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T03:09:44.024006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27cb01dd-b1ca-416a-8ebc-4226e9eeb6b1 · inbound

Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction cites this paper.

Tensor Channel Equivariant Graph Neural Networks for Molecular Polarizability Prediction Group Equivariant Convolutional Networks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:37:45.336095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5989c097-989f-4923-85a9-08ef95a25b90 · inbound

Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction cites this paper.

Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction Group Equivariant Convolutional Networks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-21T02:53:55.236600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 69468b8a-40ae-445c-943e-748e48cf2634 · inbound

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory cites this paper.

Principles and Practice of Deep Representation Learning: or a Mathematical Theory of Memory Group Equivariant Convolutional Networks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-02T11:46:55.223402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e35d1d1b-9de0-4fb7-ba52-90544d2d5e2c · inbound

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets cites this paper.

Magnetic HIP-NN for spin dynamics in disordered itinerant magnets Group Equivariant Convolutional Networks

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-03T07:57:45.170879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e8973019-e97f-492a-b22f-da208682884f · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Group Equivariant Convolutional Networks

Reference 72

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T05:39:41.066085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b730998-13c3-4daf-97d4-ac164e420fae · inbound

Statistical Properties of Training & Generalization cites this paper.

Statistical Properties of Training & Generalization Group Equivariant Convolutional Networks

Reference 71

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T21:57:25.589352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08dddfd1-e314-406c-8b33-20acc1a6b6dd · inbound

Dual-Stream EEG Decoding for 3D Visual Perception cites this paper.

Dual-Stream EEG Decoding for 3D Visual Perception Group Equivariant Convolutional Networks

Reference 55

Resolution: metadata mismatch; local_arxiv, observed 2026-06-26T12:09:27.684597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c61d15a-8429-4053-b27b-82382adc9f4e · inbound

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models cites this paper.

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models Group Equivariant Convolutional Networks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T16:29:57.592373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae3ebbf3-b1fb-4ff4-b7ec-f841bd8b517b · inbound

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models cites this paper.

When Do Conservation Laws Survive Learned Representations? Certified Horizons for Latent World Models Group Equivariant Convolutional Networks

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T22:59:01.432923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 196e7319-5ac0-4cdb-beea-f8cf037c203a · inbound

Equivariance and Augmentation for Bayesian Neural Networks cites this paper.

Equivariance and Augmentation for Bayesian Neural Networks Group Equivariant Convolutional Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:09:55.416985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73ccebf6-1dfb-4c53-9357-dbfded93f92f · inbound

From Scene-Centric to Observer-Centric: Modeling Observer-Aware Relations for 3D Scene Graph Generation cites this paper.

From Scene-Centric to Observer-Centric: Modeling Observer-Aware Relations for 3D Scene Graph Generation Group Equivariant Convolutional Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T18:15:58.306991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7841b40-41c0-4f3f-8735-ec641cf92407 · inbound

From Scene-Centric to Observer-Centric: Modeling Observer-Aware Relations for 3D Scene Graph Generation cites this paper.

From Scene-Centric to Observer-Centric: Modeling Observer-Aware Relations for 3D Scene Graph Generation Group Equivariant Convolutional Networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T10:04:24.156475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a9b6c9-fe6e-40e6-bf9a-82e31736b9b3 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Group Equivariant Convolutional Networks

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T19:53:56.154707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c6145c40-8cf6-447a-941b-04f6e2acc7f6 · inbound

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ cites this paper.

A Unified Framework for Vision Transformers Equivariant to Discrete Subgroups of $\mathrm{O}(2)$ Group Equivariant Convolutional Networks

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T10:04:36.100286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6419cfca-2507-497b-91f6-1b24b37fa59b · inbound

A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks cites this paper.

A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks Group Equivariant Convolutional Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-01T06:55:28.554293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f9f9825-7ddc-43e0-8e5f-67d87550d2e8 · inbound

Pre-Strings Lectures on Artificial Intelligence cites this paper.

Pre-Strings Lectures on Artificial Intelligence Group Equivariant Convolutional Networks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T06:14:03.658427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8474bf-e24c-4425-b61d-fabecc8f55d1 · inbound

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets cites this paper.

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets Group Equivariant Convolutional Networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-31T04:19:36.103414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.