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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2501.14048.

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

pith.paper-citation-record.v1
2501.14048 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:30:28.923078Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

23 of 23 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier4
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External citation measurements

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Outbound references

Observation 69370fb9-670d-49c7-9be5-72e203177213 · outbound

This paper cites URL https: //doi.org/10.1007/978-3-031-16749-2_9.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks URL https: //doi.org/10.1007/978-3-031-16749-2_9

Reference 5

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Observation d88202c2-8dcb-48cb-b5a5-0239fa4f107e · outbound

This paper cites Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

Reference 8

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Observation 14a761ca-5f5d-4e12-ba7f-b294c98a665d · outbound

This paper cites Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$CDM inference with neural compression of weak-lensing map statistics.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$CDM inference with neural compression of weak-lensing map statistics

Reference 11

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Observation 23f2f341-4764-4217-b2d0-e88b92f03dbc · outbound

This paper cites Scale Equivariant Graph Metanetworks.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Scale Equivariant Graph Metanetworks

Reference 12

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Observation 1429e509-b05f-4505-93ba-f2108b1564e4 · outbound

This paper cites Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives

Reference 14

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Observation 128ffb02-e90e-4944-8b76-db6fa79464c5 · outbound

This paper cites On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions

Reference 16

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local_arxiv, observed 2026-08-10T15:30:29.471385Z

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Observation 814f5ccb-24d7-4aea-bd7c-42f582002679 · outbound

This paper cites URL https://www.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks URL https://www

Reference 20

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8aef11ae-33fd-4e68-9176-1bdc12d4f5a2 · outbound

This paper cites Scaling Laws for Galaxy Images.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Scaling Laws for Galaxy Images

Reference 21

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Observation f0bc9801-c61a-4e9f-b769-fdd32651a817 · outbound

This paper cites General $E(2)$-Equivariant Steerable CNNs.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks General $E(2)$-Equivariant Steerable CNNs

Reference 22

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Observation 0c245afb-de83-4c91-b848-c73a5ac45fd3 · outbound

This paper cites URL http: //dx.doi.org/10.1109/TEVC.2019.2890858.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks URL http: //dx.doi.org/10.1109/TEVC.2019.2890858

Reference 26

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Observation 57d176e0-2fff-4e91-b280-3844e8a21cea · outbound

This paper cites URLhttp: //dx.doi.org/10.1051/0004-6361/202141938.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks URLhttp: //dx.doi.org/10.1051/0004-6361/202141938

Reference 746

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Observation 646e372e-fbaf-4bb1-ae8d-f72316b5de22 · outbound

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

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Reference 2014

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Observation 02c22133-4047-4e89-92dd-671f856c8984 · outbound

This paper cites Deep Residual Learning for Image Recognition.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Deep Residual Learning for Image Recognition

Reference 2015

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Observation 4e1a984a-d015-4764-8b21-21bbccddff74 · outbound

This paper cites SE(3) Equivariant Graph Neural Networks with Complete Local Frames.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Reference 2016

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d765bbe9-624d-43d6-9fbb-9b4406604c84 · outbound

This paper cites On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

Reference 2018

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Observation 07101e25-a9b3-439c-8ff9-6af1233630cd · outbound

This paper cites Deep Double Descent: Where Bigger Models and More Data Hurt.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Deep Double Descent: Where Bigger Models and More Data Hurt

Reference 2019

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Observation d84d8abd-5b09-4b01-98fb-c5e6db45ad61 · outbound

This paper cites Revisiting Spatial Invariance with Low-Rank Local Connectivity.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Revisiting Spatial Invariance with Low-Rank Local Connectivity

Reference 2020

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6f883766-0212-46e1-9e5e-ab3e9aef274e · outbound

This paper cites doi: 10.1088/1475-7516/ 2022/09/004.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks doi: 10.1088/1475-7516/ 2022/09/004

Reference 2022

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

This paper cites Group Equivariant Convolutional Networks.

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

Reference 2023

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Observation 7fc403ad-c5fb-4905-9d82-009b082f281c · outbound

This paper cites Interpreting Equivariant Representations.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Interpreting Equivariant Representations

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8eea6ace-b900-47d3-ae0a-9ad79ec3a1ad · outbound

This paper cites Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Changjian Shui, Qi Chen, Jun Wen, Fan Zhou, Christian Gagné, and Boyu Wang

Reference 5128

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Observation f060546c-93a1-4aa5-872b-98d9cb3441be · outbound

This paper cites URL https://doi.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks URL https://doi

Reference 6904

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Observation a4acea54-d79e-4d46-a806-68b0060d3721 · outbound

This paper cites Layer Normalization.

SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks Layer Normalization

Reference 8828

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Pith citing papers

No inbound Pith citation observations are available.