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Paper Citation Record · LEDGER

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.01980.

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

pith.paper-citation-record.v1
2507.01980 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:50.321313Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

42 of 42 outbound references displayed

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  • verified fuzzy14
  • unresolved28
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 345f0f79-f6fc-44ab-ad72-56de9285fbad · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 1

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9d716613-ce3f-460c-9074-05968e39ea43 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 535a62df-0215-417f-b374-16cd6760ecb2 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4e4ddd20-b102-44c2-ace8-33ce19ae6bee · outbound

This paper cites Characterizing and Detecting Money Laundering Activities on the Bitcoin Network.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Characterizing and Detecting Money Laundering Activities on the Bitcoin Network

Reference 4

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4ce749b6-a6e5-4190-a972-18107e235db3 · outbound

This paper cites IEEE (page 188-194) (2016).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations IEEE (page 188-194) (2016)

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cd27496e-5243-46d9-91df-7005ea255d13 · outbound

This paper cites Springer, (page 350–373) (2024).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Springer, (page 350–373) (2024)

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e22b8351-dbc6-42c0-b176-e40589a51b17 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4336aec5-848d-41c4-a093-906d8135fa14 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.646038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 345a19fb-646a-4b0f-a74e-6f7ccac95b8d · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.638423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0c2167bf-5b66-4738-9148-1dedd8dc88d5 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 913da12d-84d9-4783-babe-4a36965f99b0 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 624fd41e-d62d-41a2-9c5f-f089794aed11 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 09c0a5c0-2a4d-4a83-88ac-1d99416060b7 · outbound

This paper cites Philosophical Issues 13, (page 316–328) (2003).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Philosophical Issues 13, (page 316–328) (2003)

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.230503Z digest=sha256:87f5041a77593829589bb0346dcddb227c991e0a11c3783de8fe256eafd6cb5f

Observation 1f93b536-7e72-4d37-92d5-aaa83a633609 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.595710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.233207Z digest=sha256:723ff40730749be11f3e86f52e6e4890885da047d07e5014841a3296fc3256a5

Observation 71773404-9e13-4705-9f96-379effcaa01d · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.587842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.236970Z digest=sha256:df77074fa277e5b596285033059a3f8ff2db7fbb30008f7a0dadb7d2f78bb280

Observation a0b1670e-c0ff-4afd-9e3e-3f3d70f90e9e · outbound

This paper cites Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:50.239899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:50.239899Z digest=sha256:937603830b8f652b8ec772a1bef649319e300647aac856d511b4b51b4e918923

Observation aec8a90f-5172-4be2-89b5-b84adf50c41f · outbound

This paper cites arXiv [cs.LG] (2016).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations arXiv [cs.LG] (2016)

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c0f3e387-47bd-45c0-b09d-d00801ee5072 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 90479547-456d-4c8a-902a-c5e98185e31e · outbound

This paper cites arXiv [cs.LG] (2018).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations arXiv [cs.LG] (2018)

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a44433ec-021e-4fd2-9700-ae7e41dddf39 · outbound

This paper cites In 4th ACM International Conference on AI in Finance.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations In 4th ACM International Conference on AI in Finance

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 818995dd-1427-409f-8893-dcd79c349253 · outbound

This paper cites In 4th ACM International Conference on AI in Finance.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations In 4th ACM International Conference on AI in Finance

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e5b25ce8-5dc9-422a-bde4-3562402ad3fd · outbound

This paper cites In 4th ACM International Confer- ence on AI in Finance.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations In 4th ACM International Confer- ence on AI in Finance

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 43fa9310-1993-4e76-a244-6d8679306926 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.529895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a31f237d-a54c-49e4-8020-3ab1b0294e6d · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c84a36a3-56d9-4c1d-91ad-fc0f2c7a21fd · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5bd6b574-4a00-4d97-b8d9-8da61061f105 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b53da604-21c8-41b9-a884-cc49860d17cc · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bc747a03-3b8d-4111-ad93-0dd09f52cf39 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.487925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c218159b-580e-4116-8308-d0476b6d2b0f · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 29

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 46ab86c6-708f-4dc3-8719-852bd5b7ffe2 · outbound

This paper cites IEEE Trans.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations IEEE Trans

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8bfe2ddc-2f2e-4f66-8ae4-0ec6d543b334 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 31

Resolution
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raw_fallback, observed 2026-08-06T22:55:50.463034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation bb568537-6715-4ee3-8d24-6d3b3a53bd43 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 32

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ef03ee8d-d63f-4e9d-aa1f-4fc9a7c0b0ed · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-06T22:55:50.445218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 37e0456b-e16e-44eb-88d3-b0658b665f5f · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.437026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b0f969f6-795c-4455-bd6a-7483b98dee3c · outbound

This paper cites Thai, T: Probabilistic Graphical Model Explanations for Graph Neural Networks, Proceedings of Advances in Neural Information Processing Systems con- ference (2020).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Thai, T: Probabilistic Graphical Model Explanations for Graph Neural Networks, Proceedings of Advances in Neural Information Processing Systems con- ference (2020)

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:50.428260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.299817Z digest=sha256:11bf88b39e93dcc5adaa3c374f16e44ee4f27ba683d5f25a7462e8460c0b1b82

Observation 9766db58-893b-41c9-9669-47c578d0d53d · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.419784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.302584Z digest=sha256:c2173e0cbded6ffbca1d972e2b28a64715c1664326e5a04bf1e17fad2d0682b3

Observation b3e36e21-7648-4b98-9412-c4158ac9da1e · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.411871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.305820Z digest=sha256:6c7daa6da9882abcb58a1cff4b0f71707ba4d4fc7e6766237f800857d4288d40

Observation 3cc3a762-f669-4ff3-a50b-61e563f6c569 · outbound

This paper cites SAGE-FIN: A semi-supervised GNN approach with Causal Explanations 23.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations SAGE-FIN: A semi-supervised GNN approach with Causal Explanations 23

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:50.402415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.309350Z digest=sha256:6e905a88fc70b39feb08ebcc98b8d6dc502682e7172e8e93aaf72bf8caa31e13

Observation f61e38e0-d675-4ad8-8a74-458b4fdc84a1 · outbound

This paper cites an unresolved cited work.

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:55:50.392220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.312625Z digest=sha256:a688a91dc316900382d27f9e8ffc98dc27f4f6cbe8946287368d70872ad3b4e6

Observation a94e8747-ebe2-41f2-93da-d70623d5cc9f · outbound

This paper cites M., Lee, S.I.: A Unified Approach to Interpreting Model Predictions, Advances in Neural Information Processing Systems (NeurIPS), (page 4765–4774) (2017).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations M., Lee, S.I.: A Unified Approach to Interpreting Model Predictions, Advances in Neural Information Processing Systems (NeurIPS), (page 4765–4774) (2017)

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:50.382822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.315539Z digest=sha256:0dab5e8ceb11b8adcf9782968e128c88b60b4671d7c64d902dd3487fe5f2059d

Observation 8f9524b5-87cf-4144-888c-065fc8799084 · outbound

This paper cites John Wiley and Sons (2016).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations John Wiley and Sons (2016)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:50.374673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.318159Z digest=sha256:3f9a4c4c24414c6f953df6edf068d188f1c065b957a7078434f8677a2003aed3

Observation 74ac2978-2e45-42a1-b78f-cddb21675286 · outbound

This paper cites Explainable Artificial Intelligence for crypto asset allocation, Finance Research Letters, Volume 47 (2022).

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations Explainable Artificial Intelligence for crypto asset allocation, Finance Research Letters, Volume 47 (2022)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:55:50.365532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:55:50.321313Z digest=sha256:39fa6c4cf0b4b8ddb00b1886f74720ab09020eb1e5496020c959faf12d0146d7

Pith citing papers

No inbound Pith citation observations are available.