Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:57:11.380598Z
Paper Citation Record · LEDGER
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling
As of 16 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.14706.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact3
- verified fuzzy43
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 646cabda-9ed2-4b3d-a1e2-284243038520 · outbound
This paper cites Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.377133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a3c720dc-6b4b-42af-97a7-a9c0fc8fc96c · outbound
This paper cites García, M.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling García, M
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.362750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 44f29ac7-680a-4cf0-bfcb-f9defd635637 · outbound
This paper cites Bhuyan, D.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Bhuyan, D
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.349106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9f85afd6-3253-4b90-8e70-d4d4a16991d5 · outbound
This paper cites The base-rate fallacy and the difficulty of intrusion detection.ACM Trans.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling The base-rate fallacy and the difficulty of intrusion detection.ACM Trans
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.334887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5593cda0-f69f-4968-b898-595773c8e901 · outbound
This paper cites Anomaly detection: A survey.ACM Comput.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Anomaly detection: A survey.ACM Comput
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.320648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a85a1322-194b-4269-a4ca-4ebb93acf50a · outbound
This paper cites Bridges, Tarrah R.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Bridges, Tarrah R
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.306419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c36ee965-a768-4866-b751-bce81c375241 · outbound
This paper cites Examining the costs and causes of cyber incidents.Journal of Cybersecurity, 2(2):121–135, 2016.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Examining the costs and causes of cyber incidents.Journal of Cybersecurity, 2(2):121–135, 2016
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.292727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 79c8f40c-3cf2-44e0-b2ea-3cb09eb6971e · outbound
This paper cites Characterizing fraud and its ramifications in affiliate marketing networks.Journal of Cybersecurity, 2(1):71–81, 2016.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Characterizing fraud and its ramifications in affiliate marketing networks.Journal of Cybersecurity, 2(1):71–81, 2016
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.279027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9fcc5949-05cd-4c28-ba4b-8f412d16e2ad · outbound
This paper cites International comparison of bank fraud reimbursement: customer perceptions and contractual terms.Journal of Cybersecurity, 3(2):109–125, 2018.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling International comparison of bank fraud reimbursement: customer perceptions and contractual terms.Journal of Cybersecurity, 3(2):109–125, 2018
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.264123Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5e4e7acf-a644-480b-a73f-11f3f1fec9f7 · outbound
This paper cites Intelligent financial fraud detection: A comprehensive review.Computers & Security, 57:47–66, 2016.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Intelligent financial fraud detection: A comprehensive review.Computers & Security, 57:47–66, 2016
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.247858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5d191f87-de20-4570-a715-0156b3b6d6b7 · outbound
This paper cites Falcone Sampaio.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Falcone Sampaio
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.232620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e61bd327-59ea-47ea-b7aa-7465bf396bd9 · outbound
This paper cites Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models.Computers & Security, 120:102786, 2022.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree-based models.Computers & Security, 120:102786, 2022
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.218676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4da09cb1-6a54-4c8e-a991-7ff687e2e309 · outbound
This paper cites Detection of AI deepfake and fraud in online payments using gan-based models.arXiv preprint arXiv:2501.07033, 2025.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Detection of AI deepfake and fraud in online payments using gan-based models.arXiv preprint arXiv:2501.07033, 2025
Reference 13
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T15:57:11.708943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8acd2508-89ea-4fbe-a20a-40ae5dd88c20 · outbound
This paper cites Deepfake media forensics: Status and future challenges.Journal of Imaging, 11(3):73, 2025.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Deepfake media forensics: Status and future challenges.Journal of Imaging, 11(3):73, 2025
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.202844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d13b4c37-9e09-48fb-a35e-a07a5a1e0dde · outbound
This paper cites Banking in the Age of Deepfakes: Evaluating Perceptions of Deepfake Fraud Risks.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Banking in the Age of Deepfakes: Evaluating Perceptions of Deepfake Fraud Risks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.188109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 70e8eee4-74df-48c4-b4db-8fd10289cc27 · outbound
This paper cites GenAI mirage: The impostor bias and the deepfake detection challenge in the era of artificial illusions.Forensic Science International: Digital Investigation, 50:301795, 2024.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling GenAI mirage: The impostor bias and the deepfake detection challenge in the era of artificial illusions.Forensic Science International: Digital Investigation, 50:301795, 2024
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.172573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16aa7815-e984-4075-8412-5d4b0401caf1 · outbound
This paper cites Wiley, 3rd edition, 2013.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Wiley, 3rd edition, 2013
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.157665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eba4fbb6-ff52-4331-9a02-935e7cd8562d · outbound
This paper cites Random Forests.Machine Learning, 45(1):5–32, 2001.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Random Forests.Machine Learning, 45(1):5–32, 2001
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.141015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6ebf2d41-90fc-44c7-8fd2-ae6482cafc27 · outbound
This paper cites Xgboost: A scalable tree boosting system.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Xgboost: A scalable tree boosting system
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.125586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db6698ac-9ff8-4c9b-9d1a-d25ac21b357a · outbound
This paper cites SMOTE: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling SMOTE: synthetic minority over-sampling technique.Journal of artificial intelligence research, 16:321–357, 2002
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.109776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9f98cfe9-8cf7-4a3d-be9e-c386f1b56429 · outbound
This paper cites Auto-Encoding Variational Bayes.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Auto-Encoding Variational Bayes
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:57:11.233706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1757ef78-7946-4df6-9ebf-2fb211409ec0 · outbound
This paper cites Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.094292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fc7e9d4c-9f5b-4456-8c71-3af7dd039bd7 · outbound
This paper cites Denoising Diffusion Probabilistic Models.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Denoising Diffusion Probabilistic Models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.080035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 290d56b7-c60d-4e11-a759-077d741bb7ab · outbound
This paper cites Deep Unsupervised Learning using Nonequilibrium Thermodynamics.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.066171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d37d8c92-b2ed-4ce0-a70b-b3af3996fa21 · outbound
This paper cites Deep learning for credit card fraud detection.Journal of Financial Data Science, 1(1):1–12, 2018.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Deep learning for credit card fraud detection.Journal of Financial Data Science, 1(1):1–12, 2018
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.052037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7dead553-6405-4640-bda3-5d3161c7c27a · outbound
This paper cites Credit Card Fraud Detection Dataset, 2015.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Credit Card Fraud Detection Dataset, 2015
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.038010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6700d13-92ae-4200-87fe-a51ec6986333 · outbound
This paper cites Explainable AI: A Review of Machine Learning Interpretability Methods.Entropy, 23(1), 2021.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Explainable AI: A Review of Machine Learning Interpretability Methods.Entropy, 23(1), 2021
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.023765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2e953415-0f53-438d-969b-fb80443ebd56 · outbound
This paper cites Chawla, Kevin W.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Chawla, Kevin W
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:12.008437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 14fb4cd9-3160-475b-8b61-e2fabc9a5406 · outbound
This paper cites Prati, Bartosz Krawczyk, and Francisco Herrera.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Prati, Bartosz Krawczyk, and Francisco Herrera
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.993781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d66cc7e4-2008-4343-91d1-ccedd10f0798 · outbound
This paper cites Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:57:11.499980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 16dfccd0-090d-4aba-8ddb-9f87fcc1ea7f · outbound
This paper cites A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection.Machine Learning and Knowledge Extraction, 5(1):304–329, 2023.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection.Machine Learning and Knowledge Extraction, 5(1):304–329, 2023
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.979519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5fb1b4e-ac08-4d3a-a284-0e5a5cec9246 · outbound
This paper cites This Looks Like That: Deep Learning for Interpretable Image Recognition.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling This Looks Like That: Deep Learning for Interpretable Image Recognition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.964415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bdad461-9f81-4a89-a593-c01866c4e4fc · outbound
This paper cites This Looks Like That, Because.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling This Looks Like That, Because
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.949932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation babc61a7-b2c5-40ad-bc8f-85acb49edabf · outbound
This paper cites Interpretable and Steerable Sequence Learning via Prototypes.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Interpretable and Steerable Sequence Learning via Prototypes
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:57:11.455011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 303d28bd-1e99-4fa1-86a8-232c2bbe8839 · outbound
This paper cites This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling This Looks Like That... Does it? Shortcomings of Latent Space Prototype Interpretability in Deep Networks
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:57:11.302876Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d124a35-87f4-4e35-86c0-8a7ea9d828f8 · outbound
This paper cites an unresolved cited work.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:57:11.935269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1c0996bd-379e-40a4-b8a4-08e74a39afc4 · outbound
This paper cites Attention is not not Explanation.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Attention is not not Explanation
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.920920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e505b850-e3ba-4a7d-a5b3-be4ca91a121e · outbound
This paper cites Why Should I Trust You?.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Why Should I Trust You?
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.906597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ef997c0a-5dea-48e7-a543-c37031078687 · outbound
This paper cites A Unified Approach to Interpreting Model Predictions.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling A Unified Approach to Interpreting Model Predictions
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.891709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 438866e4-7421-40b8-89f2-c1f4c289af60 · outbound
This paper cites An ensemble-based credit card fraud detection algorithm using an efficient voting strategy.The Computer Journal, 65(8):1998–2015, 05 2021.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling An ensemble-based credit card fraud detection algorithm using an efficient voting strategy.The Computer Journal, 65(8):1998–2015, 05 2021
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.877366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6835d533-e125-4350-96bb-8d6a5dcdc955 · outbound
This paper cites Wang and Y.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Wang and Y
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.862250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 627b13d1-f9b4-4746-99df-088cfba3d84f · outbound
This paper cites Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network.IEEE Access, 11:84545–84556, 2023.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network.IEEE Access, 11:84545–84556, 2023
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.848329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43d761b8-fbd3-4604-9219-2a53e1b49d88 · outbound
This paper cites An attention-based balanced variational autoencoder method for credit card fraud detection.Applied Soft Computing, 177:113190, 2025.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling An attention-based balanced variational autoencoder method for credit card fraud detection.Applied Soft Computing, 177:113190, 2025
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.834113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eff8a35b-2740-4832-b639-dac7afb2f004 · outbound
This paper cites A credit card fraud detection approach based on ensemble machine learning classifier with hybrid data sampling.Machine Learning with Applications, 20:100675, 2025.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling A credit card fraud detection approach based on ensemble machine learning classifier with hybrid data sampling.Machine Learning with Applications, 20:100675, 2025
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.818811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e5bdc6d3-0650-4de9-a778-ea0cb377844c · outbound
This paper cites Alejo, J.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Alejo, J
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.804132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 118c4d9b-5cec-4aea-9e48-a16d5dba96c1 · outbound
This paper cites an unresolved cited work.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T15:57:11.789064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 31ec5b9c-a01b-4ae0-be33-46695348296a · outbound
This paper cites Conditional wasserstein gan-based oversampling of tabular data for imbalanced learning.Expert Systems with applications, 174:114582, 2021.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Conditional wasserstein gan-based oversampling of tabular data for imbalanced learning.Expert Systems with applications, 174:114582, 2021
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.772781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2785715e-5539-48ef-9579-341a5f72dfc2 · outbound
This paper cites Focal Loss for Dense Object Detection.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Focal Loss for Dense Object Detection
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.755874Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ced85aed-dd46-4f69-ba09-9424585c4ccf · outbound
This paper cites Credit Card Transactions Fraud Detection Dataset, 2020.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Credit Card Transactions Fraud Detection Dataset, 2020
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.740315Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9a49bdef-31c9-4bb4-8545-3d7a724a55f1 · outbound
This paper cites Sparkov Data Generator Tool for Generating Credit Card Transaction Data, 2022.
Fraud is Not Just Rarity: A Causal Prototype Attention Approach to Realistic Synthetic Oversampling Sparkov Data Generator Tool for Generating Credit Card Transaction Data, 2022
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T15:57:11.724473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.