Paper Citation Record · LEDGER

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2504.15099.

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

pith.paper-citation-record.v1
2504.15099 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:36:06.350323Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy12
unresolved14
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58a49dd7-adde-45a7-a830-0d9822764561 · outbound

This paper cites 2016, in Advances in Neural Information Processing Systems, 3981--3989.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2016, in Advances in Neural Information Processing Systems, 3981--3989

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.900260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c5730bc-2989-4d1d-ac61-72ccd5d3b245 · outbound

This paper cites 2017, Proceedings of the 34th International Conference on Machine Learning (ICML), 70, 214.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2017, Proceedings of the 34th International Conference on Machine Learning (ICML), 70, 214

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.886280Z

Source-reported events for the cited work

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Observation bb656180-e586-4702-883c-2fcdb7c8af1e · outbound

This paper cites an unresolved cited work.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:36:06.872321Z

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Observation 6c3929b7-6ffb-483f-80a3-db4e17f08b7d · outbound

This paper cites v., & Meger, D.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN v., & Meger, D

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.858942Z

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Observation 2f971ea8-c891-447d-a02e-a0846dfc9f31 · outbound

This paper cites J., Pouget-Abadie, J., Mirza, M., et al.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN J., Pouget-Abadie, J., Mirza, M., et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.845256Z

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Observation da8ce11c-f77d-4254-8502-d2eaba6ee1e1 · outbound

This paper cites an unresolved cited work.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:36:06.831448Z

Source-reported events for the cited work

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Observation 2be88652-63d6-442a-a6ce-bd2c4aa5c82e · outbound

This paper cites 2018, in Proceedings of Machine Learning Research, Vol.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2018, in Proceedings of Machine Learning Research, Vol

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.817368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 34cbb9a4-5dea-4afd-a8a1-e80d4b52cee9 · outbound

This paper cites 2019, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4401--4410, 10.1109/CVPR.2019.00453.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2019, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4401--4410, 10.1109/CVPR.2019.00453

Reference 8

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Source-reported events for the cited work

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Observation 3e8cad47-f2b0-4c7a-a94c-43719aea7a3d · outbound

This paper cites 2020, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8110--8119, 10.1109/CVPR42600.2020.00813.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2020, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8110--8119, 10.1109/CVPR42600.2020.00813

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.270950Z

Source-reported events for the cited work

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Observation 5eaa72fe-c15c-4edb-94ee-a4a1c2d53d40 · outbound

This paper cites Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Automating Sound Change Prediction for Phylogenetic Inference: A Tukanoan Case Study

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:36:06.492838Z

Source-reported events for the cited work

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Observation 8a220635-ad4d-4f4e-8628-aa4dc17835bc · outbound

This paper cites Continuous control with deep reinforcement learning.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Continuous control with deep reinforcement learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.279862Z

Source-reported events for the cited work

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Observation 85fe91d2-4c7e-4c7c-b2fb-fcdb70a5772e · outbound

This paper cites P., Mirza, M., et al.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN P., Mirza, M., et al

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.802912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e19f7bfa-85d4-417a-891c-fa935affd390 · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Playing Atari with Deep Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.288466Z

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Observation 63c86190-6b86-40e5-aef1-aa8a6472ee1d · outbound

This paper cites 2015, Nature, 518, 529, 10.1038/nature14236.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2015, Nature, 518, 529, 10.1038/nature14236

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.292760Z

Source-reported events for the cited work

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Observation 9c2ed7fe-f13f-4a52-9790-6f1114e1bf21 · outbound

This paper cites an unresolved cited work.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:36:06.788872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 947e5f71-96b8-4106-929b-c81aaf336d5e · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.300873Z

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Observation 3f510091-0d4e-45bc-8e89-1c40b0f752cc · outbound

This paper cites 2020, Nature, 588, 604, 10.1038/s41586-020-03051-4.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2020, Nature, 588, 604, 10.1038/s41586-020-03051-4

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.305438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b29f7e8-4e12-458b-8322-af70cdb18bef · outbound

This paper cites I., & Moritz, P.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN I., & Moritz, P

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.774621Z

Source-reported events for the cited work

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Observation 039f402f-0a0c-43b7-bf31-4bf27b2f8ca6 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Proximal Policy Optimization Algorithms

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.314250Z

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Observation 1861a3ec-ef6e-4c1e-85ac-a7cfa4155f56 · outbound

This paper cites 2014, in Proceedings of Machine Learning Research, Vol.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2014, in Proceedings of Machine Learning Research, Vol

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.759738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0949f1a-13d5-440e-bec7-22daa4a64ef1 · outbound

This paper cites Meta-Learning Online Adaptation of Language Models.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Meta-Learning Online Adaptation of Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.323214Z

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Unavailable: canonical work link unavailable.

Observation da318b4d-ab81-43ed-9a99-b81e3846a36b · outbound

This paper cites S., & Barto, A.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN S., & Barto, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.744113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7692049d-1529-4c3e-89bd-53c3ff2fa82d · outbound

This paper cites 2020, in International Conference on Learning Representations (ICLR).

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2020, in International Conference on Learning Representations (ICLR)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.729029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c0e0c5e2-bce0-4a03-8799-b6b162107973 · outbound

This paper cites an unresolved cited work.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:36:06.714375Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 321f65eb-6bd0-4803-8d09-5a3997073b4e · outbound

This paper cites W., et al.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN W., et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.699429Z

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Observation 63bb2175-461b-41e3-a44b-182646261b1a · outbound

This paper cites 2019, in International Conference on Learning Representations.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN 2019, in International Conference on Learning Representations

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:36:06.684604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cdcdec35-aa1d-4eff-a2ab-62a27d11aaf0 · outbound

This paper cites an unresolved cited work.

Fast-Slow Co-advancing Optimizer: Toward Harmonious Adversarial Training of GAN Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:36:06.350323Z

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Pith citing papers

No inbound Pith citation observations are available.