Pith. sign in

Paper Citation Record · LEDGER

Improved Training of Wasserstein GANs

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:1704.00028.

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

pith.paper-citation-record.v1
1704.00028 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:48:49.072779Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1511
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 39635553-7f63-43e3-b5db-8a3a88757aef · inbound

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

Progressive Growing of GANs for Improved Quality, Stability, and Variation Improved Training of Wasserstein GANs

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-12T12:24:03.327965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-12T12:24:03.252331Z digest=sha256:fa5f917422973f26853c6ca812476884b67c5e9188fe1af48231812a6267adde

Observation a2e61a8f-51c3-493a-8691-fed8780ade65 · inbound

Demystifying MMD GANs cites this paper.

Demystifying MMD GANs Improved Training of Wasserstein GANs

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:08:38.435596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-15T01:08:38.367423Z digest=sha256:5b0720bced6460f45c4a4147bf82e604016919b7746daa0d51645f2a251152d1

Observation 7dcc8c04-b121-4418-96a1-8e55b7e29cff · inbound

AGAN: Towards Automated Design of Generative Adversarial Networks cites this paper.

AGAN: Towards Automated Design of Generative Adversarial Networks Improved Training of Wasserstein GANs

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-25T16:36:02.536242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T16:33:02.970348Z digest=sha256:c811dc817970433f037bb76d4869bc62a51f060677a4173fa26ce98930ced3c7

Observation 933dd6dd-e62a-4aa8-b025-2d416caa953e · inbound

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks cites this paper.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Improved Training of Wasserstein GANs

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:15:10.151595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:083f2833d9efb8c7998e3046261683df438def651a2a14079c8a07d8a4f64268

Observation e2d03748-e9f6-4bc1-be46-9fe4b50e318b · inbound

Generative Inversion for Property-Targeted Materials Design: Application to Shape Memory Alloys cites this paper.

Generative Inversion for Property-Targeted Materials Design: Application to Shape Memory Alloys Improved Training of Wasserstein GANs

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-19T00:11:55.375309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T00:10:37.356204Z digest=sha256:bb46e25ac0f94ea0a595d9b715e22cdcbe83deaa514765014bacdae22622b5e8

Observation 914716b2-6096-411b-bf3a-f3711e407876 · inbound

Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection cites this paper.

Semi-Supervised Bayesian GANs with Log-Signatures for Uncertainty-Aware Credit Card Fraud Detection Improved Training of Wasserstein GANs

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-18T19:22:49.030285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T19:22:21.598962Z digest=sha256:c7c43f70cdedc80624c93a18242d0608fd0bf5aef9d5ae1ba8a2c067c1478681

Observation 0f9afa24-2c29-4631-bffd-971dce8f3f53 · inbound

Towards Digital Twins for Optimal Radioembolization cites this paper.

Towards Digital Twins for Optimal Radioembolization Improved Training of Wasserstein GANs

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T13:48:49.072779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:48:49.072779Z digest=sha256:3e86b0b63ff2c8332665a26d31bb6d1a707b3c4b91e2efa664136c9d3672475f

Observation 733167ed-a56e-4eb9-9749-4bf43fb798a2 · inbound

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation cites this paper.

Scaling Quantum Machine Learning without Tricks: Full-Resolution and Diverse Image Generation Improved Training of Wasserstein GANs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-02T20:03:58.909766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:03:58.909766Z digest=sha256:f2c0823bd806d55e372f2897c09d792f423665607b7231db5108bcffe0e12113

Observation f0eff054-e4cf-4a4b-a785-f94f81c05a96 · inbound

Conditional Wasserstein GAN for Simulating Neutrino Event Summaries using Incident Energy of Electron Neutrinos cites this paper.

Conditional Wasserstein GAN for Simulating Neutrino Event Summaries using Incident Energy of Electron Neutrinos Improved Training of Wasserstein GANs

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:18:26.507746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T01:16:49.513472Z digest=sha256:4883f32abcbbe3745363ac3cf8a0cfdba0297a7c4556285f16889eab7a1f7ac0

Observation ae4a6657-862f-44dd-9366-2376a9a16c65 · inbound

Fast Voxelization and Level of Detail for Microgeometry Rendering cites this paper.

Fast Voxelization and Level of Detail for Microgeometry Rendering Improved Training of Wasserstein GANs

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:30:26.820340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T13:26:16.380638Z digest=sha256:951f49263c5595048fa3d9257e148b2ed6e3cdb1d2617ab75b9888a396793729

Observation ed671b4c-2714-485b-96f8-7fc64193a884 · inbound

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context cites this paper.

Ensemble Distributionally Robust Bayesian Optimisation with Continuous Context Improved Training of Wasserstein GANs

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:53.233572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T03:18:03.316334Z digest=sha256:3132df5d61e697cb151018a578c8ad68b85e102b65447015f523a2a70b39c89f

Observation db67b566-3228-4fd1-a074-6cfa1c98873d · inbound

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems cites this paper.

On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems Improved Training of Wasserstein GANs

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:55:57.319756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T02:06:13.515696Z digest=sha256:27c1f88424e1a2e3e5cd864afe875659d1cdb5d4475ec75d851c77edd5e3f73a

Observation d01ffb59-1cf4-44d6-b429-c2e292c06d5a · inbound

Separate Universe Super-Resolution Emulator cites this paper.

Separate Universe Super-Resolution Emulator Improved Training of Wasserstein GANs

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:51:14.344876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T01:50:53.115584Z digest=sha256:5523b94083b02986f521b90198b04241ae8327b7c40a6be78256555507735eea

Observation 24c58d9a-4a40-4724-9b2f-b3b872bf97ac · inbound

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials cites this paper.

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials Improved Training of Wasserstein GANs

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T23:52:52.662217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-19T23:50:17.969096Z digest=sha256:7337c90c3c0cd272e435a233808f1c0ed0c41be9d51b0d2913a1f494b9b74e0c

Observation 78ea2f95-96cc-42d2-b11b-fd547c5f8814 · inbound

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials cites this paper.

JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials Improved Training of Wasserstein GANs

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T08:38:09.053537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T08:36:17.821556Z digest=sha256:4246ac5e2f28a887575dedc4757eea6d80859efdd162079280ebc3710411c1b7

Observation e59cd94d-98b4-4767-9913-17615fea5cbe · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Improved Training of Wasserstein GANs

Reference 80

Resolution
verified exact
local_arxiv, observed 2026-07-02T14:27:03.847663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T00:28:42.520230Z digest=sha256:70ede68f59bb601b7bb0de8b000e48c3fc261887aada918209952c6a6bcaf425

Observation 12ef3082-c9f2-4644-8112-96e20854d33e · inbound

Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation cites this paper.

Discriminative Barrier Functions for Safe Adversarial Imitation Learning from Observation Improved Training of Wasserstein GANs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T03:19:53.375921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:53.375921Z digest=sha256:c25bf0d4f9b50cb2d93ad800c90a54a110f0f09af556163fbfb808639ec4e0fc

Observation a8e22a6d-c5b2-461e-99e4-3730c9563045 · inbound

Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods cites this paper.

Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods Improved Training of Wasserstein GANs

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-01T13:22:01.415578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:22:01.415578Z digest=sha256:8c5180420bea01bd8a6a22830f30f5f1934e346a54a337f8fd8fd76d8082989b