Paper Citation Record · LEDGER

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2411.13920.

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

pith.paper-citation-record.v1
2411.13920 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:50:51.167682Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy1
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 86009259-11f8-4cf7-850a-a7e7b20d17a1 · outbound

This paper cites Improved Training of Wasserstein GANs.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Improved Training of Wasserstein GANs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.117502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddbe6e86-b44e-4a6f-ad8b-a3f6268b2106 · outbound

This paper cites i-RevNet: Deep Invertible Networks.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation i-RevNet: Deep Invertible Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.123545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eaf2adc-207e-4b4e-9718-391c3499ce3a · outbound

This paper cites MNIST-C: A Robustness Benchmark for Computer Vision.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation MNIST-C: A Robustness Benchmark for Computer Vision

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.137298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb45563-762f-407a-94f0-9ae30185a504 · outbound

This paper cites Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T15:50:51.253929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47f5d077-7afe-4699-ae7f-68e7fc78e4c7 · outbound

This paper cites Variational Quantum Circuits Enhanced Generative Adversarial Network.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Variational Quantum Circuits Enhanced Generative Adversarial Network

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.150964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 893662b7-2cee-4a32-a9ae-859fe9c30765 · outbound

This paper cites an unresolved cited work.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:50:51.440322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b9cc0e1-1dbf-4b24-a6d2-dedcfe0dfa1b · outbound

This paper cites IEEE transactions on neural networks and learning systems 34, 1972–1987.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation IEEE transactions on neural networks and learning systems 34, 1972–1987

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:50:51.426592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17c7a734-32f0-4bc7-a7f7-604b0c66bc26 · outbound

This paper cites LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation LatentQGAN: A Hybrid QGAN with Classical Convolutional Autoencoder

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T15:50:51.218545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1efcff2-702c-4273-9c8a-e2a0cb0594ab · outbound

This paper cites an unresolved cited work.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:50:51.412086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 72e5ff76-2255-4840-b184-8f078e98c5ce · outbound

This paper cites Quantum computing and the entanglement frontier.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Quantum computing and the entanglement frontier

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.141910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22fd2ba-ee6b-4cfa-a4cf-6f73378e53e6 · outbound

This paper cites NICE: Non-linear Independent Components Estimation.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation NICE: Non-linear Independent Components Estimation

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.107707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 402240a0-4a77-44c8-82dc-599ce7d045f6 · outbound

This paper cites Density estimation using Real NVP.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Density estimation using Real NVP

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.112788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab22a3cd-f3d5-417b-a797-5a7a789ce7fd · outbound

This paper cites StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.093007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a95461f1-3959-41db-950c-b8f8250f499f · outbound

This paper cites Patch-Based Image Inpainting with Generative Adversarial Networks.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Patch-Based Image Inpainting with Generative Adversarial Networks

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.102344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1135657c-50e2-4430-8fa9-6a433e4da5eb · outbound

This paper cites CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.128197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67f33660-0b8e-4276-9e0e-674a7f286ad9 · outbound

This paper cites Quantum Generative Training Using R\'enyi Divergences.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Quantum Generative Training Using R\'enyi Divergences

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.132847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f475ee5-6f5a-4626-a7af-ba7d0cc29311 · outbound

This paper cites an unresolved cited work.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Unresolved cited work

Reference 2023

Resolution: unresolved; raw_fallback, observed 2026-08-12T15:50:51.454226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e98439c-ea85-4d2d-b4ca-444f2be64316 · outbound

This paper cites Latent Style-based Quantum GAN for high-quality Image Generation.

iHQGAN: A Lightweight Invertible Hybrid Quantum-Classical Generative Adversarial Network for Unsupervised Image-to-Image Translation Latent Style-based Quantum GAN for high-quality Image Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T15:50:51.086803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.