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Paper Citation Record · LEDGER

Feature-Based Lie Group Transformer for Real-World Applications

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2506.04668.

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

pith.paper-citation-record.v1
2506.04668 v3

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:43:50.645854Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T00:55:21.788068Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:59:49.791422Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0cf4f8a-4809-4afe-bcd1-ad0b4892f098 · outbound

This paper cites Unsupervised learning of shape-invariant lie group transformer by embedding ordinary differen- tial equation,.

Feature-Based Lie Group Transformer for Real-World Applications Unsupervised learning of shape-invariant lie group transformer by embedding ordinary differen- tial equation,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a3c2805a-51f6-4934-99ff-21aaf32e9706 · outbound

This paper cites Unsupervised learning for global and local visual perception using navon figures,.

Feature-Based Lie Group Transformer for Real-World Applications Unsupervised learning for global and local visual perception using navon figures,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T10:43:53.382519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8200b2fd-2985-49a0-bafa-58b06aaa3b8d · outbound

This paper cites Representation learning: A review and new perspectives,.

Feature-Based Lie Group Transformer for Real-World Applications Representation learning: A review and new perspectives,

Reference 3

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unresolved
no resolver link, observed 2026-08-07T10:43:48.252619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cbf919c5-8c8d-40d9-9c32-1ab5fbf7b585 · outbound

This paper cites Beta-vae: Learning basic visual con- cepts with a constrained variational framework,.

Feature-Based Lie Group Transformer for Real-World Applications Beta-vae: Learning basic visual con- cepts with a constrained variational framework,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dbb4f4f1-b827-47ef-9880-bb9a52cd8738 · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets,.

Feature-Based Lie Group Transformer for Real-World Applications Infogan: Interpretable representation learning by information maximizing generative adversarial nets,

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 2026-08-07T06:34:17.273281+00:00.

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Observation 10298214-a196-4b6e-aaca-5cbbbdc5d23f · outbound

This paper cites Disdiff: Unsupervised dis- entanglement of diffusion probabilistic models,.

Feature-Based Lie Group Transformer for Real-World Applications Disdiff: Unsupervised dis- entanglement of diffusion probabilistic models,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:52.882956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 67e531c3-e67c-4645-bed0-a216ed38e6bd · outbound

This paper cites Towards a Definition of Disentangled Representations.

Feature-Based Lie Group Transformer for Real-World Applications Towards a Definition of Disentangled Representations

Reference 7

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unresolved
no resolver link, observed 2026-08-07T10:43:48.851166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:48.851166Z digest=sha256:97c70e73e772a76047d2789473bf21a3ab9b671fede43bd79fca9d33d1f018a5

Observation 99a29c4d-82aa-4252-bf0b-b9050cd65cdf · outbound

This paper cites Unsupervised categorization of similarity measures.

Feature-Based Lie Group Transformer for Real-World Applications Unsupervised categorization of similarity measures

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:48.958315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:48.958315Z digest=sha256:2ef1ff70097ea0b0b6c2764b4b6938584ab09482c77dfb7bc4404dad2ded3e2e

Observation 57b03464-6860-4f89-8937-343b2f45d31f · outbound

This paper cites Category-theoretic structure for independence and condi- tional independence,.

Feature-Based Lie Group Transformer for Real-World Applications Category-theoretic structure for independence and condi- tional independence,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:52.707907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 16340682-1f9f-4e17-8af6-463cc01b82e7 · outbound

This paper cites Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory.

Feature-Based Lie Group Transformer for Real-World Applications Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory

Reference 10

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unresolved
no resolver link, observed 2026-08-07T10:43:49.293903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7e3e3260-74ec-46c7-b699-3bdfc8c9e95e · outbound

This paper cites The last mathematical testament of galois,.

Feature-Based Lie Group Transformer for Real-World Applications The last mathematical testament of galois,

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 2026-08-07T06:34:17.273281+00:00.

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Observation 5d9b08e8-531a-4c38-a174-6a018f701685 · outbound

This paper cites Disentangling patterns and transformations from one sequence of images with shape- invariant lie group transformer,.

Feature-Based Lie Group Transformer for Real-World Applications Disentangling patterns and transformations from one sequence of images with shape- invariant lie group transformer,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:52.369701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b87dc021-45c8-4ae5-a9b2-152e5b797eb1 · outbound

This paper cites Unsupervised judgment of properties based on transformation recognition,.

Feature-Based Lie Group Transformer for Real-World Applications Unsupervised judgment of properties based on transformation recognition,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:52.179653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 96a88fa1-6349-4940-aa48-1c508be9d2e6 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Feature-Based Lie Group Transformer for Real-World Applications Imagenet classification with deep convolutional neural networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:51.940075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1f0ed154-6e07-4149-816f-90dffc0d1dde · outbound

This paper cites Benchmarking neural network ro- bustness to common corruptions and perturbations,.

Feature-Based Lie Group Transformer for Real-World Applications Benchmarking neural network ro- bustness to common corruptions and perturbations,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:51.684424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a57f34ae-7ff9-4e7f-8335-e817de402050 · outbound

This paper cites Neu- ral ordinary differential equations,.

Feature-Based Lie Group Transformer for Real-World Applications Neu- ral ordinary differential equations,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:51.479678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b12e5245-1974-48f5-a241-ddeaed71999b · outbound

This paper cites Long short-term memory,.

Feature-Based Lie Group Transformer for Real-World Applications Long short-term memory,

Reference 17

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2aa5be42-3984-4309-81c6-c3c4207a375a · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Feature-Based Lie Group Transformer for Real-World Applications U-net: Convolutional networks for biomedical image segmentation,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:51.288625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 02cb4fa6-91a9-494f-9c22-74a9fc2f7868 · outbound

This paper cites Instance Normalization: The Missing Ingredient for Fast Stylization.

Feature-Based Lie Group Transformer for Real-World Applications Instance Normalization: The Missing Ingredient for Fast Stylization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:50.430485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 53cf1d73-d10f-475d-801d-e03aa054230e · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

Feature-Based Lie Group Transformer for Real-World Applications MONet: Unsupervised Scene Decomposition and Representation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T10:43:50.540392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:43:50.540392Z digest=sha256:806a96aed433db3c050b69fb5a410a8eca754ef90f0879e2ce3ac092ce74166c

Observation 8503a070-61e8-4f51-8793-247da3c9970b · outbound

This paper cites Ablation study to clarify the mechanism of object segmentation in multi-object representation learn- ing,.

Feature-Based Lie Group Transformer for Real-World Applications Ablation study to clarify the mechanism of object segmentation in multi-object representation learn- ing,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:43:51.039974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:43:50.645854Z digest=sha256:b99515ab596bda2d49a31dc31f01ccf1f9d96903c53ce9c36f0b448c07398063

Pith citing papers

Observation 79b752ac-e0c3-43ab-924b-95b0772fe193 · inbound

Unsupervised Learning of Inter-Object Relationships via Group Homomorphism cites this paper.

Unsupervised Learning of Inter-Object Relationships via Group Homomorphism Feature-Based Lie Group Transformer for Real-World Applications

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:59:49.792816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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