Paper Citation Record · LEDGER

Partitioning Message Passing for Graph Fraud Detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.00020.

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

pith.paper-citation-record.v1
2412.00020 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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:36:02.220999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T06:54:21.426067Z

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 25c85ca9-7ef8-4859-98d0-1a380820499b · inbound

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs cites this paper.

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs Partitioning Message Passing for Graph Fraud Detection

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T12:36:02.220999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3439a33-d9f0-43d0-853c-38aa7b50dc8e · inbound

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains cites this paper.

UniDetect: LLM-Driven Universal Fraud Detection across Heterogeneous Blockchains Partitioning Message Passing for Graph Fraud Detection

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:03.385751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb1d09ae-fcd4-49af-8867-faeebd29cf0f · inbound

Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection cites this paper.

Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection Partitioning Message Passing for Graph Fraud Detection

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:32:24.546727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0f2c3c7-323f-4379-b7ad-bcf5a25f879a · inbound

L2IR: Revealing Latent Intent in Graph Fraud Detection cites this paper.

L2IR: Revealing Latent Intent in Graph Fraud Detection Partitioning Message Passing for Graph Fraud Detection

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:43:58.689014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c908d363-b096-432c-a3c0-1f33d5a78d75 · inbound

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection cites this paper.

Temporal Motif-aware Graph Test-time Adaptation for OOD Blockchain Anomaly Detection Partitioning Message Passing for Graph Fraud Detection

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-29T06:43:10.321595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94ba9cb2-092f-4ffd-b1eb-7cd21dfe1a38 · inbound

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection cites this paper.

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection Partitioning Message Passing for Graph Fraud Detection

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:54:21.427632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.