Paper Citation Record · LEDGER

Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.18841.

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

pith.paper-citation-record.v1
2503.18841 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:27:31.798911Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:12:55.968978Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 45a528b0-af23-438e-b998-61c7d4643860 · inbound

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions cites this paper.

Application of Deep Generative Models for Anomaly Detection in Complex Financial Transactions Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T11:27:31.798911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d676a112-8778-4461-ac0d-4e2933450e40 · inbound

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models cites this paper.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:22.327954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae73385-890e-4994-a46b-6dbcc037c7a3 · inbound

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks cites this paper.

Modeling Multi-Hop Semantic Paths for Recommendation in Heterogeneous Information Networks Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T22:55:36.765851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25be804-eaac-423c-b7c1-88a39203c96b · inbound

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies cites this paper.

Towards Robust Few-Shot Text Classification Using Transformer Architectures and Dual Loss Strategies Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:50:04.384077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebef945e-5f8e-402a-9967-18726bb94d29 · inbound

Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation cites this paper.

Joint Graph Convolution and Sequential Modeling for Scalable Network Traffic Estimation Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:12:55.977761Z

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 d2704505-b88e-4a88-a8b7-993da07a62e4 · inbound

A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market cites this paper.

A Clustering-Based Framework for Identifying Suspicious Trading Patterns in Capital Market Unsupervised Detection of Fraudulent Transactions in E-commerce Using Contrastive Learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-11T21:07:26.532851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.