Paper Citation Record · LEDGER

Dual-channel Heterophilic Message Passing for Graph Fraud Detection

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2504.14205.

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

pith.paper-citation-record.v1
2504.14205 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:57:37.988117Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:06:26.265122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:05.772416Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 78b3eee9-cb93-4849-91c9-bce9d9b21dde · outbound

This paper cites Markov-driven graph convolutional networks for social spammer detection,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Markov-driven graph convolutional networks for social spammer detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.092385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64c94d9c-6273-47b0-8a1e-1d68d3096ecb · outbound

This paper cites Splitgnn: Spectral graph neural network for fraud detection against heterophily,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Splitgnn: Spectral graph neural network for fraud detection against heterophily,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.950769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c328ef4c-84f1-43af-9559-413727717c82 · outbound

This paper cites H2-fdetector: A gnn-based fraud detector with homophilic and heterophilic connections,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection H2-fdetector: A gnn-based fraud detector with homophilic and heterophilic connections,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.080063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5366487-34c8-4637-9285-e4c662d50085 · outbound

This paper cites Enhancing graph neural network-based fraud detectors against camouflaged fraud- sters,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Enhancing graph neural network-based fraud detectors against camouflaged fraud- sters,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.955997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a3f4430-01a4-4f96-866f-f8190a77d306 · outbound

This paper cites Dig- in-gnn: Discriminative feature guided gnn-based fraud detector against inconsistencies in multi-relation fraud graph,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Dig- in-gnn: Discriminative feature guided gnn-based fraud detector against inconsistencies in multi-relation fraud graph,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.069853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08e4ff76-f26e-4d83-b56c-1e5b72c8ac13 · outbound

This paper cites Fraud detection on multi-relation graphs via imbalanced and interactive learning,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Fraud detection on multi-relation graphs via imbalanced and interactive learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.061934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61c80447-1705-44e3-b38c-03f7cfd343f4 · outbound

This paper cites Asa-gnn: Adaptive sampling and aggregation-based graph neural network for transaction fraud detection,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Asa-gnn: Adaptive sampling and aggregation-based graph neural network for transaction fraud detection,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.963804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86207513-4f9e-41ee-8a0d-0dd42d97a075 · outbound

This paper cites Xgboost: A scalable tree boosting system,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Xgboost: A scalable tree boosting system,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.966571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ce1cd7-e1c5-4eac-907c-2908214759b1 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Semi-supervised classification with graph convolutional networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.968834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83446837-7357-4e15-8e8a-822d29feb40e · outbound

This paper cites Graph attention networks,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Graph attention networks,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.971057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 034001e1-54a1-4ca8-bcdc-778fc91aada0 · outbound

This paper cites Beyond low-frequency informa- tion in graph convolutional networks,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Beyond low-frequency informa- tion in graph convolutional networks,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.973391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53dc7ac4-443f-4a9d-9bb0-62cb04f199eb · outbound

This paper cites Adaptive universal generalized pagerank graph neural network,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Adaptive universal generalized pagerank graph neural network,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.975766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96090011-3f94-47f8-97a0-5fee570799e5 · outbound

This paper cites Rethinking graph neural networks for anomaly detection,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Rethinking graph neural networks for anomaly detection,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.978026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a88d1030-10f9-4203-aeed-0935e75984a1 · outbound

This paper cites Sefraud: Graph-based self- explainable fraud detection via interpretative mask learning,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Sefraud: Graph-based self- explainable fraud detection via interpretative mask learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:37.980400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54841c4d-437e-4d7f-9923-95fbdc3fbd3b · outbound

This paper cites Two-stage gnn-based fraud detection with camouflage identification and enhanced semantics aggregation,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Two-stage gnn-based fraud detection with camouflage identification and enhanced semantics aggregation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.026329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8eae5f99-d0f6-41a8-90bb-9f2eaaf5e835 · outbound

This paper cites DOS-GNN: dual-feature ag- gregations with over-sampling for class-imbalanced fraud detection on graphs,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection DOS-GNN: dual-feature ag- gregations with over-sampling for class-imbalanced fraud detection on graphs,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.018247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70f9012c-dda4-4a99-a37c-1817e44247a6 · outbound

This paper cites Enhancing gnn-based fraud detector via semantic extraction and max-representation-margin,.

Dual-channel Heterophilic Message Passing for Graph Fraud Detection Enhancing gnn-based fraud detector via semantic extraction and max-representation-margin,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:57:38.010131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation aaf3e31b-8679-49d7-99ab-690c83d8401b · inbound

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection cites this paper.

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection Dual-channel Heterophilic Message Passing for Graph Fraud Detection

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T18:06:26.265122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb010086-c4cd-4899-8a00-521382bd69ca · inbound

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers cites this paper.

Multi-Modal Machine Learning Framework for Predicting Early Recurrence of Brain Tumors Using MRI and Clinical Biomarkers Dual-channel Heterophilic Message Passing for Graph Fraud Detection

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:53:05.777272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80f5468b-fc50-4b06-a4bb-ab3ce6127123 · inbound

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture cites this paper.

A Multimodal Deep Learning Framework for Early Diagnosis of Liver Cancer via Optimized BiLSTM-AM-VMD Architecture Dual-channel Heterophilic Message Passing for Graph Fraud Detection

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T12:53:14.954857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.