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Paper Citation Record · LEDGER

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.11884.

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

pith.paper-citation-record.v1
2608.11884 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:29:24.764196Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

12 of 12 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 896f5ea6-6ae3-4f26-b983-a0873289d2bb · outbound

This paper cites Wasserstein Generative Adversarial Networks.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Wasserstein Generative Adversarial Networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.136006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.708295Z digest=sha256:5126be2b50c0208103eb0318dc319250e995a8bbff2475f70dd8f4384bcfbadc

Observation a0db676e-f9ce-4136-9f06-005a51059a37 · outbound

This paper cites InICASSP 2023-2023 IEEEinternationalconferenceonacoustics,speechandsig- nal processing (ICASSP), 1–5.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation InICASSP 2023-2023 IEEEinternationalconferenceonacoustics,speechandsig- nal processing (ICASSP), 1–5

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.118174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.724356Z digest=sha256:987a24a461a7af7b2967c340a7adefad1e2a2c652d2defebbcf52a96f075c1db

Observation b39a0263-45be-48d8-9f45-9b2a473f67ea · outbound

This paper cites Mescheder,L.;Oechsle,M.;Niemeyer,M.;Nowozin,S.;and Geiger,A.2019.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Mescheder,L.;Oechsle,M.;Niemeyer,M.;Nowozin,S.;and Geiger,A.2019

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.085765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.745035Z digest=sha256:731f78c898190acd618e5530359ab47e71a9680a4845191bc8ffd9b6f125c288

Observation 7d252d57-9c27-4dd3-99a7-6f02b2c4d5de · outbound

This paper cites InProceedings of the 41st International Conference on Machine Learning, ICML’24.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation InProceedings of the 41st International Conference on Machine Learning, ICML’24

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.036367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.764196Z digest=sha256:ba7a65c822fb31668de05eb7a86250bbb23fb379d3bfcb90e5fdba2910d2be6a

Observation b60c52a6-6b03-45f7-98d0-8a3a270d1301 · outbound

This paper cites ISBN 978-3-032- 15931-1.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation ISBN 978-3-032- 15931-1

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.100516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.734887Z digest=sha256:29a45b6ab6bc1113620f9b7feb4afd67f5174dbc7d9fe56ad001df94ba2e0ef1

Observation 6e908a29-5758-4f14-a7ac-ab3d491b3725 · outbound

This paper cites Hybridquantum–classicalgenerativeadversarialnetworkfor high-resolution image generation.IEEE Transactions on Quantum Engineering, 4: 1–19.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Hybridquantum–classicalgenerativeadversarialnetworkfor high-resolution image generation.IEEE Transactions on Quantum Engineering, 4: 1–19

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.052273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.754491Z digest=sha256:0340d83e4c37f69622f57437e3e0d3035970d0e7cbd7ba9392378c637f846aa4

Observation 544a3750-5474-4b65-8753-a4b531d4a0d4 · outbound

This paper cites ImprovedTechniquesforTrain- ing GANs.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation ImprovedTechniquesforTrain- ing GANs

Reference 226

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:29:25.068743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.750097Z digest=sha256:94c5af9268078a96500d3639ed24df28691b2359c338609772a33385a78a1d0b

Observation 85927d8f-2380-4de9-a3d3-c1a8b02bc2e9 · outbound

This paper cites Mode Regularized Generative Adversarial Networks.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Mode Regularized Generative Adversarial Networks

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-16T00:29:24.718993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:29:24.718993Z digest=sha256:e39aee82c4614a68e9c29d85f4de07076df7b16a3ce6adf09c11950f6731deed

Observation 12f04588-3433-4d66-adfd-dedef274dc45 · outbound

This paper cites an unresolved cited work.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Unresolved cited work

Reference 2018

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:29:24.989329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.730206Z digest=sha256:5b0c779cdfc0f84b9bce07ba37ca1c972a263088fb147c4d7ce12035bdb37a5d

Observation 3e3cdcd3-8f48-45b0-bc6f-27630e7a1e86 · outbound

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

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation Latent Style-based Quantum GAN for high-quality Image Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T00:29:24.713670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:29:24.713670Z digest=sha256:fb198031ac610c9af614939b3fc463deb6dffe0e892c1bad448cc70146ba6476

Observation c6c622f9-0b54-475a-9654-d2d9395600f4 · outbound

This paper cites In2024 IEEE 10th World Forum on Internet of Things (WF-IoT), 1–7.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation In2024 IEEE 10th World Forum on Internet of Things (WF-IoT), 1–7

Reference 2024

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:29:24.890885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.759784Z digest=sha256:da2f32520aa523160e7cf9f05e1c0bf807491767b5609673484159b544aef941

Observation 918d45e2-9b7a-4bda-98ee-2763dd6094c4 · outbound

This paper cites QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations.

CoQui: A Coordinate-Conditioned Quantum Implicit Generative Adversarial Network for End-to-End Image Generation QFGN: A Quantum Approach to High-Fidelity Implicit Neural Representations

Reference 2025

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:29:24.912299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:29:24.739822Z digest=sha256:04f5163d583573a01f4b1dea0f8678ca60216d2616859b4927975e93131a0435

Pith citing papers

No inbound Pith citation observations are available.