Paper Citation Record · LEDGER

Unrolled Generative Adversarial Networks

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:1611.02163.

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

pith.paper-citation-record.v1
1611.02163 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:23.938918Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T07:06:44.381580Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7112664b-4fbe-4c8e-81df-660cc15e5422 · inbound

Progressive Growing of GANs for Improved Quality, Stability, and Variation cites this paper.

Progressive Growing of GANs for Improved Quality, Stability, and Variation Unrolled Generative Adversarial Networks

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T12:24:03.406309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d2638443-aa62-4a1e-92d4-8ae761085e7d · inbound

GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions cites this paper.

GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions Unrolled Generative Adversarial Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T14:02:19.456784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba23da21-14f4-4bf4-88b2-9289ab6fb547 · inbound

Sparse Generative Adversarial Network cites this paper.

Sparse Generative Adversarial Network Unrolled Generative Adversarial Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T12:18:26.210079Z

Source-reported events for the cited work

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Observation 04767b55-300b-4f29-83dc-bd46a638042c · inbound

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval cites this paper.

Virtual Thin Slice: 3D Conditional GAN-based Super-resolution for CT Slice Interval Unrolled Generative Adversarial Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T10:16:14.384097Z

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Observation 1d4e33f3-a346-4d09-93af-3c5123f2201c · inbound

ConsistentFeature: A Plug-and-Play Component for Neural Network Regularization cites this paper.

ConsistentFeature: A Plug-and-Play Component for Neural Network Regularization Unrolled Generative Adversarial Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T04:23:00.395175Z

Source-reported events for the cited work

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Observation c3a5f767-e4df-4348-a05a-479a4d649c80 · inbound

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs cites this paper.

A New Formulation of Lipschitz Constrained With Functional Gradient Learning for GANs Unrolled Generative Adversarial Networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T18:36:29.320700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768579ed-9e0d-40d8-b4c9-0151e41570c9 · inbound

Anomaly Detection via Autoencoder Composite Features and NCE cites this paper.

Anomaly Detection via Autoencoder Composite Features and NCE Unrolled Generative Adversarial Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T14:06:22.485398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee7a4c85-3654-4f75-bb5f-180266c1558e · inbound

Generative Adversarial Networks Bridging Art and Machine Intelligence cites this paper.

Generative Adversarial Networks Bridging Art and Machine Intelligence Unrolled Generative Adversarial Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T23:30:58.779877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c62d3ef1-d707-4cfd-8ff7-0c9ed1b670d4 · inbound

Beyond and Free from Diffusion: Invertible Guided Consistency Training cites this paper.

Beyond and Free from Diffusion: Invertible Guided Consistency Training Unrolled Generative Adversarial Networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T19:41:03.393052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8294872-3c2d-451f-b0bb-3116c91ba3ba · inbound

Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging cites this paper.

Deep Generative Models for Bayesian Inference on High-Rate Sensor Data: Applications in Automotive Radar and Medical Imaging Unrolled Generative Adversarial Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:23.938918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99b4215-974b-4d70-b510-6510e3c079e5 · inbound

Frugal Incremental Generative Modeling using Variational Autoencoders cites this paper.

Frugal Incremental Generative Modeling using Variational Autoencoders Unrolled Generative Adversarial Networks

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:17:04.158979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 073addae-8f05-41b6-b69e-76501fa853b7 · inbound

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model cites this paper.

Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model Unrolled Generative Adversarial Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:05:45.000014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0487783c-2113-4aac-82e3-cce3c929a09f · inbound

Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms cites this paper.

Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms Unrolled Generative Adversarial Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:30.869338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c46c147-6f99-433c-8b54-31dd606c42e9 · inbound

Relation-Aware Slicing in Cross-Domain Alignment cites this paper.

Relation-Aware Slicing in Cross-Domain Alignment Unrolled Generative Adversarial Networks

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-06T16:38:12.988126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bdab3d-4a1e-4d9d-a766-c3c7333c3e9c · inbound

Generalized Dual Discriminator GANs cites this paper.

Generalized Dual Discriminator GANs Unrolled Generative Adversarial Networks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T18:31:30.612514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d77476d-dfe1-49ed-8611-f6237d78f7fd · inbound

On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models cites this paper.

On the Collapse Errors Induced by the Deterministic Sampler for Diffusion Models Unrolled Generative Adversarial Networks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T17:32:06.679310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71433f30-cbf0-4d3d-ba35-9455a02def39 · inbound

SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation cites this paper.

SubFlow: Sub-mode Conditioned Flow Matching for Diverse One-Step Generation Unrolled Generative Adversarial Networks

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:06:01.161634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 40339a76-5396-44ea-b05f-dbb84e749104 · inbound

Decision-Focused Learning via Tangent-Space Projection of Prediction Error cites this paper.

Decision-Focused Learning via Tangent-Space Projection of Prediction Error Unrolled Generative Adversarial Networks

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:01:08.089759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cc3dc684-b886-4d7c-b91e-4937238004ab · inbound

Intermediate Representations are Strong AI-Generated Image Detectors cites this paper.

Intermediate Representations are Strong AI-Generated Image Detectors Unrolled Generative Adversarial Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:56:06.783667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9855f55-f6d6-4717-af18-ba1b93c0e59f · inbound

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences cites this paper.

Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences Unrolled Generative Adversarial Networks

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:30:54.749062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc492ae8-03bd-406d-9e82-c5634709a958 · inbound

Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty cites this paper.

Expectations vs. Realities: The Cost of MSE-Optimal Forecasting Under Conditional Uncertainty Unrolled Generative Adversarial Networks

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:06:44.382866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b608c409-7a8f-40d2-afa5-1bbdba1e9834 · inbound

Mixed-Binary Quadratic Programming via QUBO Sampling without Continuous-Variable Binarization cites this paper.

Mixed-Binary Quadratic Programming via QUBO Sampling without Continuous-Variable Binarization Unrolled Generative Adversarial Networks

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T07:58:09.524403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4193ea87-ab54-445e-a912-86e0a777e119 · inbound

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution cites this paper.

Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution Unrolled Generative Adversarial Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:57:59.651495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.