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Paper Citation Record · LEDGER

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:1907.03355.

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

pith.paper-citation-record.v1
1907.03355 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T01:12:33.249852Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:37:25.783619Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:37:27.473985Z

Reference resolution

12 of 12 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43a9d234-f3c4-4fed-a197-61e335658b01 · outbound

This paper cites Wasserstein GAN.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Wasserstein GAN

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-25T01:15:10.157983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:45e851cc077227c3804bdc51d25879588f77a90a0fc7cc6b2779113151e6de66

Observation 9b56c50c-d92e-4955-be62-a3115363e544 · outbound

This paper cites V., Bowyer, K.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks V., Bowyer, K

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.729285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:c3495a11f2171127c193cdf0321b46ce94461fb6b905a7ac272765a0fceb39a4

Observation ef72aa30-8a5f-4954-b108-76bdfd674aaa · outbound

This paper cites and Guestrin, C.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks and Guestrin, C

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.718666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:ca8e3625a9de9fe2c72c7ae02d7617bd3c34b106b4cb4ab864625025ca0c5ab7

Observation b3ede892-0afb-463c-8618-b944f6f81556 · outbound

This paper cites and Bacao, F.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks and Bacao, F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.742370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:74b8617d2fd4678a3059d019a5507dfb9b980c584f006376ba20f4a1bd2101b4

Observation 0d7898a4-7e0e-409f-b7a3-bf7915589885 · outbound

This paper cites Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-25T01:15:10.164131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:6dc01937fb26434f7b16bbea939636acb1c3f7bdcf6bb47ddb30cff60d301452

Observation 0f6798aa-2bcb-4ad6-a9d2-a9d788b4bc40 · outbound

This paper cites an unresolved cited work.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-25T01:15:10.735793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:3e713e42aa875930933746b5d89c93ac9709a3ccf91842f03a86ea8d4f69e7aa

Observation 8e04b314-2bb4-48ab-9e40-109804411331 · outbound

This paper cites an unresolved cited work.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-25T01:15:10.724991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:d002f5ab569913282f0f182527d36ee15bbb3700ba31a1b735932b6b1d047320

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

This paper cites Improved Training of Wasserstein GANs.

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:9c6f1f39b0e4d9c76f8499f916ce139ac6851702d5abea81707593da0b985df9

Observation 92933c56-2aa6-4265-94a4-43f1d5524bd7 · outbound

This paper cites an unresolved cited work.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-25T01:15:10.732758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:793aad6331c63c7d059306fee2befdbf0b11f2e69d4d7e43ca17d49277134927

Observation dc00011a-d937-4ce8-9448-4e08051650fe · outbound

This paper cites and Garcia, E.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks and Garcia, E

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.721890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:448e00143d3f79252e1fcb2f8e76c28bb628533d6a0bb0a1a07f0465fefca850

Observation b81ce011-6474-44da-b0e9-a21b66232e22 · outbound

This paper cites and Torelli, N.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks and Torelli, N

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.715020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:280edd1ef917b467317c89f8c581c1dde94f1810fba59ceb62f714e95bbf94c5

Observation be7793f4-8050-488d-a40d-a4e00615ba96 · outbound

This paper cites D., Caelen, O., Johnson, R.

Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks D., Caelen, O., Johnson, R

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T01:15:10.739148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-25T01:12:33.249852Z digest=sha256:9f13b60493fcdee086a48f071fc2b0e8f967860cedf0b0306740b34cd8072445

Pith citing papers

Observation 6fc63d5c-d10b-4dd9-8f54-19db120f1ed1 · inbound

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations cites this paper.

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations Improving Detection of Credit Card Fraudulent Transactions using Generative Adversarial Networks

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:37:27.478327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:37:25.783619Z digest=sha256:54fcf22ab1fc6ec28d0197760078c503a0cb633a2d8cb1d47c5a5518da097136