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Paper Citation Record · LEDGER

E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01500.

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

pith.paper-citation-record.v1
2311.01500 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:35.859154Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • parse uncertain0
  • malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cf1411d-8f3d-42d6-ac44-e8f2450efb71 · 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 E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:11:35.859154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:11:35.859154Z digest=sha256:1d9a6ccbcd65b035a832379428f3defbd53f7f7c7b420cbf2a84397557ca8550

Observation b162c9ec-e9ef-4f4e-bb13-0cb8f39e0967 · 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 E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T05:53:10.625806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:53:10.625806Z digest=sha256:06c20b71bf6f6281d39496615eb839d189206312315f78d9963fb2559646d8de

Observation efe626db-3153-4af5-9699-2fef642215c0 · 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 E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:55:04.100740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T10:50:49.500787Z digest=sha256:32990e6748a8edc4639ebe7bb6c9b5faa01823d433c20129cb86c19e87c90032

Observation 8ddd4094-decc-445f-a96f-76a02b0057d8 · inbound

Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 cites this paper.

Enhancing Galaxy Classification with U-Net Variational Autoencoders. III. Disk-like Galaxy Identification in JWST Samples of up to redshift 4 E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:46:11.013397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T22:02:22.676596Z digest=sha256:721aa323da6936d428322ae00976f928e4bcaed398ec2d541d88ae3c13bb7d92

Observation 8a68037b-e27c-4bcb-bfa9-d2a98e74fcbc · inbound

Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics cites this paper.

Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T00:58:47.941943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T00:53:24.521767Z digest=sha256:1734cbe52c64448caaf9f25501da35533167233dde5c715f8a92d886ecf8cf4c