Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:53:41.286213Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.07437.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:53:41.286213Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
25 of 25 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d6919c20-966a-480d-8a82-f51cfffcc7cd · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Fraud detection sys- tem: A survey
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 75f2a49f-2d53-4803-80cc-fec38a5acaec · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Credit Card Fraud Detection Using XGBoost Algorithm
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dc55a8f1-efe4-44af-bef7-578245f0d299 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Survey of Credit Card Anomaly and Fraud Detection Using Sampling Techniques
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e8bfa658-30e2-4bb8-836a-8ff11e828caa · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Data mining for credit card fraud: A comparative study
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a5823a8e-cdcc-470d-ada5-2a8d76f153b8 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Random forests
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb8e31b-cd66-4dc8-811d-b19eb976aadd · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Lost, stolen or skimmed: Overcoming credit card fraud in South Africa
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 55772e85-268a-4547-8523-2044bda56407 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection SMOTE: Synthetic Minority Over-sampling Technique
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation fad6ba5a-2ed9-4fb3-9451-ec55d6c78de4 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection SMOTE: Synthetic Minority Over-sampling Technique
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 21df9c9a-d21d-44c6-932d-1d29014d78a2 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Xgboost: A scalable tree boosting system
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af709bf0-80b1-4ff8-9708-164c970c01b7 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection The classification performance of ensemble decision tree classifiers: a case study of detecting fraud in credit card transactions
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation f12c0dc7-f65a-41fd-9516-4b9824fed3a5 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Generating multi-label discrete patient records using generative adversarial networks
Reference 11
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 73d8ade2-d3c8-4a5b-a2b2-f1e293ea2270 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Effective data generation for imbalanced learning using conditional generative adversarial networks
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 571f86fb-4eb3-4327-a5aa-f89d131b3be0 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection A novel method for detecting credit card fraud problems
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 54ca73b5-d3b0-44d4-a799-5995430b0b15 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Fraud De- tection in Banking Data by Machine Learning Techniques
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1bdb48c4-8c8e-4889-ba06-4ff4766cd35d · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Fraud detection: Intention- ality and deception in cognition
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a6b6a0b1-c539-4178-bf11-b39e853a625f · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Keep it simple: random oversampling for imbalanced data
Reference 17
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 11b5d113-dc72-4ed3-8933-f72e02b7c768 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection GAN-based imbalanced data intrusion detection system
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3be2b4ac-1228-4831-9ea0-e6428b6f6f30 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Credit-Card-Fraud-Prediction- Using-XGBoost -An-Ensemble-Learning-Approach
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 2d72ad28-b02b-4359-bdd2-b440171d112b · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection A Comparison Study of Credit Card Fraud Detection: Supervised versus Unsupervised
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 045cc142-02f4-4a34-8710-d29181238b2c · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Credit Card Fraud Detection
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 866aa834-18b0-4469-b521-0f7f96bcbfbc · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Data leakage inflates prediction performance in connectome- based machine learning models
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc4e736-f787-4c9a-a759-58b29700287c · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Hazards of data leakage in machine learning: a study on classification of breast cancer using deep neural networks
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 4cf62123-40d7-4dfd-b1f1-ed2e3377a0fa · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Semi-supervised anomaly detection for EEG waveforms using deep belief nets
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 15f96cf3-20ee-48b4-9504-50f70ef37fd3 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Impact of random oversampling and random undersampling on the performance of prediction models developed using observational health data
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c65eeb5-46ed-4d08-a7ef-3023b983c142 · outbound
Impact of Sampling Techniques and Data Leakage on XGBoost Performance in Credit Card Fraud Detection Unresolved cited work
Reference 492
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.