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Paper Citation Record · LEDGER

Clue-Guided Money Laundering Group Discovery

As of 12 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2606.26189.

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

pith.paper-citation-record.v1
2606.26189 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T01:50:46.696336Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact15
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 58960920-0661-4071-878e-d6c9d636d59c · outbound

This paper cites An Efficient Solution to Detect Common Topologies in Money Launderings Based on Coupling and Connection,.

Clue-Guided Money Laundering Group Discovery An Efficient Solution to Detect Common Topologies in Money Launderings Based on Coupling and Connection,

Reference 1

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arxiv_id, observed 2026-06-26T02:18:55.384228Z

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Observation 908eca9f-0bb7-419a-8b5f-714c7896958e · outbound

This paper cites A Holistic Network Analysis of the Money Laundering Threat Landscape: Assessing Criminal Typologies, Resilience and Implications for Disruption,.

Clue-Guided Money Laundering Group Discovery A Holistic Network Analysis of the Money Laundering Threat Landscape: Assessing Criminal Typologies, Resilience and Implications for Disruption,

Reference 2

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doi, observed 2026-06-26T02:18:55.397376Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b9ae5140-258c-446d-93d1-d0fc54be5ab8 · outbound

This paper cites an unresolved cited work.

Clue-Guided Money Laundering Group Discovery Unresolved cited work

Reference 3

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Observation 682ac628-1347-4de4-876b-4ff03571dab3 · outbound

This paper cites Artificial intelligence for anti - money laundering: a review and extension,.

Clue-Guided Money Laundering Group Discovery Artificial intelligence for anti - money laundering: a review and extension,

Reference 4

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doi, observed 2026-06-26T02:18:55.389423Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f42158b8-63ba-46e8-a4b3-752b87fe7c40 · outbound

This paper cites Transaction Monitoring in Anti -Money Laundering: A Qualitative Analysis and Points of View from Industry.

Clue-Guided Money Laundering Group Discovery Transaction Monitoring in Anti -Money Laundering: A Qualitative Analysis and Points of View from Industry

Reference 5

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doi, observed 2026-06-26T02:18:55.422539Z

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Observation e542dfa5-95a6-4ce6-a1b0-db50447ae36e · outbound

This paper cites Qualifying and raising anti -money laundering alarms with deep learning,.

Clue-Guided Money Laundering Group Discovery Qualifying and raising anti -money laundering alarms with deep learning,

Reference 6

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arxiv_id, observed 2026-06-26T02:18:55.408370Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T01:50:46.696336Z digest=sha256:d3151c9f0f7ae8aaaca3368e9690e631eddf87e5f9344b97569a981497e78c17

Observation 79a0ed4e-5042-4b7f-9c6c-8e9cb459ab9a · outbound

This paper cites MLaD²: A Semi - Supervised Money Laundering Detection Framework Based on Decoupling Training,.

Clue-Guided Money Laundering Group Discovery MLaD²: A Semi - Supervised Money Laundering Detection Framework Based on Decoupling Training,

Reference 7

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arxiv_id, observed 2026-06-26T02:18:55.381096Z

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source=pdf_text observed=2026-06-26T01:50:46.696336Z digest=sha256:f3e6f2dee72243c3ba54e4314355d6ba1d541689fce66dd77849e21dc71eab15

Observation f833c904-8c75-42c0-b0c0-49c877975a21 · outbound

This paper cites Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks,.

Clue-Guided Money Laundering Group Discovery Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks,

Reference 8

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arxiv_id, observed 2026-06-26T02:18:55.411099Z

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source=pdf_text observed=2026-06-26T01:50:46.696336Z digest=sha256:ca7dead5e0c8ed598eeb9941b5a254a61873654bd23fd44f0411f79b2d3b0051

Observation 8a3357da-4568-41fb-8388-1dff056809fe · outbound

This paper cites an unresolved cited work.

Clue-Guided Money Laundering Group Discovery Unresolved cited work

Reference 9

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source=pdf_text observed=2026-06-26T01:50:46.696336Z digest=sha256:0d164afe0fe8d6cfbd64819e789149ee1abeb9dcb734e813ee3132f38af0b98c

Observation a71a7586-cd7b-4b27-91d9-81bf409ab40e · outbound

This paper cites Multi -View Graph -Based Hierarchical Representation Learning for Money Laundering Group Detection,.

Clue-Guided Money Laundering Group Discovery Multi -View Graph -Based Hierarchical Representation Learning for Money Laundering Group Detection,

Reference 10

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arxiv_id, observed 2026-06-26T02:18:55.387404Z

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Observation 7cbfe2ca-b69d-4213-a13a-373c12126a01 · outbound

This paper cites Anti -Money Laundering by Group -Aware Deep Graph Learning,.

Clue-Guided Money Laundering Group Discovery Anti -Money Laundering by Group -Aware Deep Graph Learning,

Reference 11

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arxiv_id, observed 2026-06-26T02:18:55.405402Z

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Observation 27d21e44-d504-4143-aa45-66c26ca86d3c · outbound

This paper cites Flowscope: Spotting money laundering based on graphs,.

Clue-Guided Money Laundering Group Discovery Flowscope: Spotting money laundering based on graphs,

Reference 12

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Observation 63664948-c3cb-4f51-baaf-472a56d3b75d · outbound

This paper cites Towards learning to discover money laundering sub -network in massive transaction network,.

Clue-Guided Money Laundering Group Discovery Towards learning to discover money laundering sub -network in massive transaction network,

Reference 13

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Observation 0658513e-35ed-437e-9dc2-5a7f56f62a9f · outbound

This paper cites Parameswaran.

Clue-Guided Money Laundering Group Discovery Parameswaran

Reference 14

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arxiv_id, observed 2026-06-26T02:18:55.413673Z

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Observation 2cc285e2-45c0-4464-9fa7-922cf58c948a · outbound

This paper cites ICS -GNN+: lightweight interactive community search via graph neural network,.

Clue-Guided Money Laundering Group Discovery ICS -GNN+: lightweight interactive community search via graph neural network,

Reference 15

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doi, observed 2026-06-26T02:18:55.401104Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0c45dda5-6fe2-45ef-8e93-b6a33bfcf0d0 · outbound

This paper cites Money laundering: the economics of regulation,.

Clue-Guided Money Laundering Group Discovery Money laundering: the economics of regulation,

Reference 16

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Observation 77ca252d-f5b2-4052-a970-f09142502da6 · outbound

This paper cites Ontology Based Expert- System for Suspicious Transactions Detection,.

Clue-Guided Money Laundering Group Discovery Ontology Based Expert- System for Suspicious Transactions Detection,

Reference 17

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doi, observed 2026-06-26T02:18:55.402861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a0f17755-5a7d-40c3-8284-05ba712a589e · outbound

This paper cites Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective,.

Clue-Guided Money Laundering Group Discovery Leveraging machine learning in the global fight against money laundering and terrorism financing: An affordances perspective,

Reference 18

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doi, observed 2026-06-26T02:18:55.399356Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a5493c0f-5a86-4f65-a840-8491ddc4de06 · outbound

This paper cites LaundroGraph: Self -Supervised Graph Representation Learning for Anti -Money Laundering,.

Clue-Guided Money Laundering Group Discovery LaundroGraph: Self -Supervised Graph Representation Learning for Anti -Money Laundering,

Reference 19

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Observation 9e2190b1-d50d-4a99-a253-8bd950bd15ac · outbound

This paper cites A label-free heterophily -guided approach for unsupervised graph fraud detection,.

Clue-Guided Money Laundering Group Discovery A label-free heterophily -guided approach for unsupervised graph fraud detection,

Reference 20

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Observation b9b13fb5-9cf3-460c-8d3c-02de65648249 · outbound

This paper cites Enhancing attribute - driven fraud detection with risk -aware graph representation,.

Clue-Guided Money Laundering Group Discovery Enhancing attribute - driven fraud detection with risk -aware graph representation,

Reference 21

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Observation d73f339f-d3d5-4948-8640-0bd6fac6f074 · outbound

This paper cites The LAW theorem: Local reads and linearizable asynchronous replication.

Clue-Guided Money Laundering Group Discovery The LAW theorem: Local reads and linearizable asynchronous replication

Reference 22

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arxiv_id, observed 2026-06-26T02:18:55.419054Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7711da4c-b252-4777-a9b1-2bf69f358c85 · outbound

This paper cites an unresolved cited work.

Clue-Guided Money Laundering Group Discovery Unresolved cited work

Reference 23

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Observation 4a9b5bfd-be27-445c-95d6-44dd88e0e7b0 · outbound

This paper cites an unresolved cited work.

Clue-Guided Money Laundering Group Discovery Unresolved cited work

Reference 24

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Observation ea741b38-98f2-4672-9d0a-ae3cdffb2097 · outbound

This paper cites Gnnexplainer: Generating explanations for graph neural networks,.

Clue-Guided Money Laundering Group Discovery Gnnexplainer: Generating explanations for graph neural networks,

Reference 25

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Observation b699487d-9b3b-484e-8d3c-e1c3b6746e61 · outbound

This paper cites Parameterized explainer for graph neural network,.

Clue-Guided Money Laundering Group Discovery Parameterized explainer for graph neural network,

Reference 26

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Observation 120a97c2-d601-4e02-a76d-ac274db2e6ca · outbound

This paper cites Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking.

Clue-Guided Money Laundering Group Discovery Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking

Reference 27

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arxiv_id, observed 2026-07-04T15:09:55.370864Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 22d9ed1a-5295-4daa-8c3e-6d7d3ed43775 · outbound

This paper cites Yi-An Ma, Tianqi Chen, and Emily Fox.

Clue-Guided Money Laundering Group Discovery Yi-An Ma, Tianqi Chen, and Emily Fox

Reference 28

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arxiv_id, observed 2026-06-26T02:18:55.395388Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3165e358-424a-4ddb-9fa2-f0260e1607cc · outbound

This paper cites Stored energy density solution for TSV-Cu structure deformation under thermal cyclic loading based on PINN , journal =.

Clue-Guided Money Laundering Group Discovery Stored energy density solution for TSV-Cu structure deformation under thermal cyclic loading based on PINN , journal =

Reference 29

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arxiv_id, observed 2026-06-26T02:18:55.392401Z

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Observation bbeb8ece-7197-4487-8da2-c7336d91f07f · outbound

This paper cites Structural Information and Dynamical Complexity of Networks,.

Clue-Guided Money Laundering Group Discovery Structural Information and Dynamical Complexity of Networks,

Reference 30

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arxiv_id, observed 2026-06-26T02:18:55.416527Z

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Observation aa631dc3-9b81-4f82-aaac-e1d0da6225ff · outbound

This paper cites Structural entropy minimization combining graph representation for money laundering identification,.

Clue-Guided Money Laundering Group Discovery Structural entropy minimization combining graph representation for money laundering identification,

Reference 31

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7c963c43-0f09-4964-a7b7-8ecde4769649 · outbound

This paper cites Realistic synthetic financial transactions for anti-money laundering models,.

Clue-Guided Money Laundering Group Discovery Realistic synthetic financial transactions for anti-money laundering models,

Reference 32

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Observation c7c23da3-2326-45c9-a340-2d11e6c1d7d2 · outbound

This paper cites For each clue node VcC , SACC performs a k-hop breadth-first search.

Clue-Guided Money Laundering Group Discovery For each clue node VcC , SACC performs a k-hop breadth-first search

Reference 33

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Observation 388e45b3-b179-4808-9c31-fcacd0721e27 · outbound

This paper cites This stage consists of two procedures: path enumeration and fund-flow consistency verification.

Clue-Guided Money Laundering Group Discovery This stage consists of two procedures: path enumeration and fund-flow consistency verification

Reference 34

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Observation 8a893a4c-d43f-4c38-82da-d36dbc37aeeb · outbound

This paper cites SACC merges the candidate node set obtained from neighborhood expansion and structural enhancement, and then induces the corresponding subgraph from the original graph.

Clue-Guided Money Laundering Group Discovery SACC merges the candidate node set obtained from neighborhood expansion and structural enhancement, and then induces the corresponding subgraph from the original graph

Reference 35

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Pith citing papers

No inbound Pith citation observations are available.