Paper Citation Record · LEDGER

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions

As of 15 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2509.07392.

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

pith.paper-citation-record.v1
2509.07392 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:23:24.232796Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

22 of 22 outbound references displayed

verified exact6
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8750f7ee-c4dd-454e-866d-b0a0d269ba8f · outbound

This paper cites Available at: https://www.trmlabs.com/, last accessed 2025/08/04.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Available at: https://www.trmlabs.com/, last accessed 2025/08/04

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:23:27.474553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7a1c8603-731e-42fa-b170-797fb3ce6105 · outbound

This paper cites Available at: h ttps://www.reuters.com/technology/losses-crypto-hacks-jump-22- bln-2024-report-says-2024-12-19/, last accessed 2025/08/19.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Available at: h ttps://www.reuters.com/technology/losses-crypto-hacks-jump-22- bln-2024-report-says-2024-12-19/, last accessed 2025/08/19

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:23:27.223602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8e0ae36-854a-4073-bf87-4e894890397e · outbound

This paper cites Available at: h ttps://www.trmlabs.com/, last accessed 2025/08/04.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Available at: h ttps://www.trmlabs.com/, last accessed 2025/08/04

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:23:26.904848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 88fd2657-7e8c-4ede-af36-41e2f0b81b1e · outbound

This paper cites In: Garcia -Alfaro, J., Herrera - Joancomartí , J.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Garcia -Alfaro, J., Herrera - Joancomartí , J

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-04T22:23:22.505258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e06bdfb-a6e6-494f-9769-96aa93f245a8 · outbound

This paper cites Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Anomaly Detection in Bitcoin Network Using Unsupervised Learning Methods

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-04T22:23:26.360430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d9e3b7d-9d6a-4604-8fde-f87203575292 · outbound

This paper cites SoK: A Survey of Mixing Techniques and Mixers for Cryptocurrencies.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions SoK: A Survey of Mixing Techniques and Mixers for Cryptocurrencies

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-08-04T22:23:26.180628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7f4c54ec-c76e-4494-823f-4e6448ee41d9 · outbound

This paper cites Topological Analysis of Mixer Activities in the Bitcoin Network.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Topological Analysis of Mixer Activities in the Bitcoin Network

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-04T22:23:26.007200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation edc0b9e1-4a82-400d-8515-2631ca78d4e9 · outbound

This paper cites Journal of Current Research in Blockchain 1(1), 70 –90 (2024).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Journal of Current Research in Blockchain 1(1), 70 –90 (2024)

Reference 8

Resolution: verified exact; doi, observed 2026-08-04T22:23:25.117912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 57da965a-9224-4851-8812-d702797fc475 · outbound

This paper cites Scientific Reports 15, 11076 (2025).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Scientific Reports 15, 11076 (2025)

Reference 9

Resolution: verified exact; doi, observed 2026-08-04T22:23:24.908809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6aad00fa-5c20-40a3-9b34-7b28b894a1ae · outbound

This paper cites Transaction Fraud Detection Using GRU-centered Sandwich-structured Model.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Transaction Fraud Detection Using GRU-centered Sandwich-structured Model

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T22:23:25.800370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dfa8bd10-8183-4633-bc48-b626d78ba183 · outbound

This paper cites Blockchain Research and Applications 5(3), 100207 (202 4).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Blockchain Research and Applications 5(3), 100207 (202 4)

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.199767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd2309c-db57-43c6-9f9e-1f4ca9a9fcf9 · outbound

This paper cites In: Susilo, W., Pieprzyk, J.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Susilo, W., Pieprzyk, J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.291021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64356f41-5991-4d58-aada-5b79b364ecec · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Semi-Supervised Classification with Graph Convolutional Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.387577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 081db4ab-9e33-4123-9c00-557a44b02932 · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.520371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c2b5037-403c-4184-a0de-9e49c3784e78 · outbound

This paper cites In: Proceedings of the IEEE Con - sumer Communications and Networking Conference (CCNC), pp.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Proceedings of the IEEE Con - sumer Communications and Networking Conference (CCNC), pp

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.654547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bd03012-c866-4f7c-9839-d1a65c46d340 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp

Reference 16

Resolution: verified exact; doi, observed 2026-08-04T22:23:24.694449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b4e89c37-b6af-41c2-9e33-976be204a93f · outbound

This paper cites Scientific Reports 15, 23694 (2025).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Scientific Reports 15, 23694 (2025)

Reference 17

Resolution: verified exact; doi, observed 2026-08-04T22:23:24.421862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 07f352ac-fb91-441f-ab75-74257dc84e8c · outbound

This paper cites Why Should I Trust You?.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions Why Should I Trust You?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.850146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55c6e20-3445-4b0e-b4be-ea6ce0b685b9 · outbound

This paper cites In: Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T22:23:23.957672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142672cb-dd43-469c-8669-90d6d5985f6c · outbound

This paper cites IEEE Transactions on Intelligent Transportation Systems 21(9), 3848–3858 (2020).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions IEEE Transactions on Intelligent Transportation Systems 21(9), 3848–3858 (2020)

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T22:23:25.522314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d305b74-5b0a-478e-a991-c458bef6858b · outbound

This paper cites IEEE Access, PP(99):1 –1 (2025).

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions IEEE Access, PP(99):1 –1 (2025)

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-08-04T22:23:25.345356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 580e1d6d-8cd9-4a20-a027-f7a140c7d964 · outbound

This paper cites In: Proceedings of the IEEE International Conference on Data Mining (ICDM), pp.

Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions In: Proceedings of the IEEE International Conference on Data Mining (ICDM), pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T22:23:26.661933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.