Paper Citation Record · LEDGER

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2603.02063.

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

pith.paper-citation-record.v1
2603.02063 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:30:51.300575Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

26 of 26 outbound references displayed

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verified fuzzy0
unresolved25
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malformed identifier1
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External citation measurements

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Outbound references

Observation f65a8a5e-e843-4adc-8407-c32037851aaf · outbound

This paper cites Differentiable Mathematical Programming for Object-Centric Representation Learning.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Differentiable Mathematical Programming for Object-Centric Representation Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.169183Z

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Unavailable: canonical work link unavailable.

Observation 031c1012-b6ba-46e4-b061-3f224dae147a · outbound

This paper cites Adversarial synthesis learning enables segmentation without target modality ground truth.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Adversarial synthesis learning enables segmentation without target modality ground truth

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.249516Z

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Observation 35dfcf43-3253-4d9c-a6b8-ffb19ded3c2e · outbound

This paper cites Data Synthesis based on Generative Adversarial Networks.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Data Synthesis based on Generative Adversarial Networks

Reference 12

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Observation 8d67255e-931c-481a-b2db-25dcc23d0efa · outbound

This paper cites Cyclegan-vc2: Improved cyclegan-based non-parallel voice conversion.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Cyclegan-vc2: Improved cyclegan-based non-parallel voice conversion

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.841498Z

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Observation 138ce437-aee9-4348-888b-f17283d19c73 · outbound

This paper cites (Un)paired signal-to-signal translation with 1D conditional GANs.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks (Un)paired signal-to-signal translation with 1D conditional GANs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.012469Z

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Observation 03e2454a-c8a3-4be6-9fb8-fea0736f2de0 · outbound

This paper cites Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.134724Z

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Observation d6da359f-23c2-491e-805e-bcc2b716ce4f · outbound

This paper cites Object Discovery with a Copy-Pasting GAN.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Object Discovery with a Copy-Pasting GAN

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.211326Z

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Observation 9c55b869-50c2-4002-9507-20344bfcf71a · outbound

This paper cites Ssd: Single shot multibox detector.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Ssd: Single shot multibox detector

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.380473Z

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Observation fe139cb2-ebb2-449b-b180-dde4f85fcc3a · outbound

This paper cites YOLOv3: An Incremental Improvement.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks YOLOv3: An Incremental Improvement

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.533441Z

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Observation 156eb621-962d-48c0-a9be-1515779b4128 · outbound

This paper cites Illiterate DALL-E Learns to Compose.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Illiterate DALL-E Learns to Compose

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.672689Z

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Observation 5a5e659c-35f5-4546-9db1-819dd6a50113 · outbound

This paper cites Simplified priors for Object-Centric Learning.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Simplified priors for Object-Centric Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.951773Z

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Observation ee319213-a079-410f-935e-334ef31628e9 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmenta- tion.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks U-net: Convolutional networks for biomedical image segmenta- tion

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:51.092274Z

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Observation e9a85efb-501c-4827-a547-1b21af4e8378 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Spectral Normalization for Generative Adversarial Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:51.188467Z

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Observation 933f924d-cad0-4cdf-9199-72a5a7ade1bc · outbound

This paper cites Auto-Encoding Variational Bayes.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Auto-Encoding Variational Bayes

Reference 1995

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.344213Z

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Observation 9cdbdb0b-eedc-4799-b4cd-277b1e895636 · outbound

This paper cites MoVi: A Large Multipurpose Motion and Video Dataset.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks MoVi: A Large Multipurpose Motion and Video Dataset

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.523355Z

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Observation 39212c62-dd4f-4280-876a-e15323ad8b37 · outbound

This paper cites Blood dataset.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Blood dataset

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:51.300575Z

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Observation 16fcd413-6654-4730-bd67-e6e3d17ffff8 · outbound

This paper cites Contrastive Learning of Structured World Models.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Contrastive Learning of Structured World Models

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.499611Z

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Observation 60c29111-b952-4f30-a5cd-cfda4e15ae2c · outbound

This paper cites Gmair: Unsupervised object detection based on spatial attention and gaussian mixture model.Computational Intelligence and Neuroscience, 2022(1): 7254462,.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Gmair: Unsupervised object detection based on spatial attention and gaussian mixture model.Computational Intelligence and Neuroscience, 2022(1): 7254462,

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.295189Z

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Observation 61782b43-034c-4b47-af19-90badb4bd94d · outbound

This paper cites Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.389311Z

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Observation d5f545f6-2fae-460b-9570-0bb18f2c1781 · outbound

This paper cites Benchmarking and analysis of unsupervised object segmentation from real-world single images.International Journal of Computer Vision, 132(6):2077–2113,.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Benchmarking and analysis of unsupervised object segmentation from real-world single images.International Journal of Computer Vision, 132(6):2077–2113,

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.629178Z

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Observation 92d62b5e-bf86-4577-8c4c-99f93e2fd8e4 · outbound

This paper cites Synthesizing Tabular Data using Generative Adversarial Networks.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Synthesizing Tabular Data using Generative Adversarial Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.635321Z

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Observation 13fa1c28-8178-409e-b2a4-415a0d041823 · outbound

This paper cites Bridging the Gap to Real-World Object-Centric Learning.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Bridging the Gap to Real-World Object-Centric Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.931848Z

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Observation 4c141525-a713-4599-9513-90f9d508c917 · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks On the Binding Problem in Artificial Neural Networks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:49.121270Z

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Observation bd6a4070-6167-4d20-8bf8-160f3e85ced9 · outbound

This paper cites Object-Centric Slot Diffusion.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Object-Centric Slot Diffusion

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:50.756070Z

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Observation dd6b25c9-a370-45ce-ac98-0b5fda7bf7e9 · outbound

This paper cites SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T19:30:48.740107Z

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Observation deabfe83-de7e-4534-bdfc-8ae8b592e42f · outbound

This paper cites Karl Stelzner, Robert Peharz, and Kristian Kersting.

ORGAN: Object-Centric Representation Learning using Cycle Consistent Generative Adversarial Networks Karl Stelzner, Robert Peharz, and Kristian Kersting

Reference 2025

Resolution: malformed identifier; no resolver link, observed 2026-08-02T19:30:50.860106Z

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Pith citing papers

No inbound Pith citation observations are available.