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Paper Citation Record · LEDGER

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection

As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.02032.

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

pith.paper-citation-record.v1
2501.02032 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:26:20.682812Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f35a09bc-8ec3-4bf4-a3fe-a816c3449e72 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-10T22:26:20.528716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.528716Z digest=sha256:84fa9b5dfc14131ef63d1ef9c48caef74591ca43af6e538c7c1392b2dc4d88b5

Observation 9fb3cdb5-f52c-45d7-a588-65edf659515a · outbound

This paper cites Bhowmik, T.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Bhowmik, T

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:21.211187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.534375Z digest=sha256:184d1bb21e455d97805b7ccd0f0ac623202b6e339b7c390b49dd89993fe03390

Observation d87df5f2-923a-4996-8f1f-d1c94d07c352 · outbound

This paper cites Wenhua, F.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Wenhua, F

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:21.197374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.538824Z digest=sha256:c8d52d15265483cf27bb72d783100fd0e8ae0ee914f6b899f10a13bb767385f5

Observation be61d733-0791-4831-997e-7daa404b9a9c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-10T22:26:21.179781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.542977Z digest=sha256:2aa15c0070db4142185f2dd2cef68710f8202ef80fa68fd6e7c54bedd3928f10

Observation 525fcb87-0684-47ce-be2e-a34ec1cf2fce · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-10T22:26:21.165802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.547498Z digest=sha256:bfe0fdac3233e5a6c6ee67c9d9c34ca32b148e222f174b70037adda02954456e

Observation b867f24c-1391-4ba6-94b4-16b7fe58c914 · outbound

This paper cites Givargizov, Unstable financial and economic factors in the world and their influence on the development of blockchain technologies, Inter- national Humanitarian University Herald.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Givargizov, Unstable financial and economic factors in the world and their influence on the development of blockchain technologies, Inter- national Humanitarian University Herald

Reference 6

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verified exact
doi, observed 2026-08-10T22:26:20.729406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.551836Z digest=sha256:f36746d8a49490851064855d66947a73b1ba42044eb1e69f5f4c902ad663d45f

Observation 36f0e0c0-7248-4acb-b202-d54c64963dcc · outbound

This paper cites Zheng, J.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Zheng, J

Reference 7

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no resolver link, observed 2026-08-10T22:26:20.556034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.556034Z digest=sha256:169731bec7a77761830ab068ab9d5709a9882c87f8e447c030868e9dba95c270

Observation 6fb0bae1-d270-441d-a57c-c50f35364242 · outbound

This paper cites Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:26:20.852782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.559920Z digest=sha256:f2081b86a91f01f57653c3711f76426dfbb8cd86fad2d161cfe354af567abe7f

Observation 13db7669-3d5b-4996-abe8-4e6aacb59dc2 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-10T22:26:21.143840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.564162Z digest=sha256:9d7daf76d146a2cfa070466721563e0355e84a72569218ad9f4bc06f1a5a0128

Observation be215bb3-ff46-47b2-bd59-714ce0547ca0 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 10

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raw_fallback, observed 2026-08-10T22:26:21.129088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.567717Z digest=sha256:67dd402e3cffb5bad03a16e3e0c264e27b777e4c9919c68416fdca8b025c6378

Observation c7476271-6564-4693-b06c-b5fce315942b · outbound

This paper cites Elmougy, L.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Elmougy, L

Reference 11

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raw_fallback, observed 2026-08-10T22:26:21.115442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.572032Z digest=sha256:bee8e32dd8168cb9a86c696d8d8d29b70a0653a08814fd7ca12bfef0a75f1f8e

Observation 062d8780-f285-4a39-9d5a-11a27c5cb36d · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-10T22:26:21.103705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.575877Z digest=sha256:2216848bb2f8911ae42eee572ef11b223dda6eee805433d7dc22fa75c50c90e8

Observation 31a199f0-d6dd-45c6-b07b-b042c2a6bb75 · outbound

This paper cites Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques

Reference 13

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verified exact
local_arxiv, observed 2026-08-10T22:26:20.835699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.579859Z digest=sha256:faa4b7646e442b172e5a8ba2a6db61b278521c9dba32d42d5f3844d3400417f7

Observation 61ea64a4-babd-407b-a3cd-b23318d02f08 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 14

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unresolved
raw_fallback, observed 2026-08-10T22:26:21.090076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.583935Z digest=sha256:bff13f47e6a08d4e45373fab82910baa9649e031d65c6ea9a26bbfd6a892892d

Observation 12ed5e05-e053-450d-ac9d-4e1d9036c7cc · outbound

This paper cites Ethereum Fraud Detection with Heterogeneous Graph Neural Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Ethereum Fraud Detection with Heterogeneous Graph Neural Networks

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.587047Z digest=sha256:7132fcaa35d102c81f4da4a8dd9b99a5c2d3f1fa386d6c40136b84dbe3da9143

Observation c209ba8f-040b-4530-a875-54180b1e0ac0 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-10T22:26:21.075749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.590493Z digest=sha256:df3cfe7052b54fcdf88f1c2cb75ab05ee13f3eb51dcd68818908711f3bc33505

Observation e752fb85-e973-469e-b7b8-e58ac542a32f · outbound

This paper cites TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

Reference 17

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no resolver link, observed 2026-08-10T22:26:20.593819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.593819Z digest=sha256:65cf42d03b861f2f82014b6158e6c227700307ed7a0786cdc976fee5107e046c

Observation 41963fe7-4dfc-4151-85bf-d33822198808 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T22:26:21.062446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.597509Z digest=sha256:852190c26fab37b681b7bb46d3b1fb774fd97280061fee9bcdafbe7531a2f066

Observation 7daa5907-13b2-4fe3-99f7-de14ff850a4f · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-10T22:26:21.047270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.601551Z digest=sha256:8ba4b8d4368f1f2966106c63590d665df10be00b32da82c2dd609bcf22cb059e

Observation 87c93ff4-f9be-4268-96e0-57ff0c466490 · outbound

This paper cites Farrugia, J.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Farrugia, J

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-10T22:26:21.032955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.606435Z digest=sha256:e917bc133f0309552263c01445744095e193d151ab553a816e9bcf0080088156

Observation 76e582c2-3c0d-4a0a-bc82-1734f43609c9 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-10T22:26:21.016612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.610712Z digest=sha256:6e9ac7cf5bd0e2be676f2c0a35b73cfd550ab24adc2c5a17328bf00eeb239e4b

Observation deba4d3b-8ebe-47c5-a219-3536b5c35e6c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.614047Z digest=sha256:fd1aaa26a819930541d211192d5b30f5f8bb24e34573e9c365cc74e304883045

Observation 43caee5f-d6fa-4cc5-8d3d-752d40228f03 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-10T22:26:20.993265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.618120Z digest=sha256:daea6493cffccea09261bc17f120a830820a842ee0df7b2a4da65e60761440b6

Observation 35eeff7c-f3d3-4535-8df2-ede3c19b392c · outbound

This paper cites Chen, S.-Z.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Chen, S.-Z

Reference 24

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raw_fallback, observed 2026-08-10T22:26:20.980091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.621301Z digest=sha256:2f6141ca7c0b11fff8109f5176c5de9fd8eaf6f15e93e82dab80dfdc8c657c3f

Observation 3735b84b-2c15-429b-bec5-dcd1f53d66bf · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 25

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raw_fallback, observed 2026-08-10T22:26:20.966534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.625130Z digest=sha256:11c7fde5eb90a59c7f298b93b380a0d7fbd28fa8c87e5794097997608a97bc68

Observation 95c61143-e992-47b7-bf04-e7e77e6a1162 · outbound

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

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Semi-Supervised Classification with Graph Convolutional Networks

Reference 26

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no resolver link, observed 2026-08-10T22:26:20.628991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.628991Z digest=sha256:2d26abf7dd0d4f0b6d3cd327ce2c2a81787a2eedfa0a3622c79b599b972b04ad

Observation 14040393-d456-439d-9688-14756d5f9934 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 27

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no resolver link, observed 2026-08-10T22:26:20.633289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.633289Z digest=sha256:ab808a0245c6a467fffb6a84a1b67821e91709ddc6edc4d4707c640a358eaf21

Observation 2882716e-41ba-4753-9aae-ec53be653fd1 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017).

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017)

Reference 28

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no resolver link, observed 2026-08-10T22:26:20.637702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.637702Z digest=sha256:4929456f35fa434105971d45dab27651e26171f25bbc0de6693f920486c44350

Observation 2684c17d-923c-4bfb-bbcb-7c1c7f97ae80 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-10T22:26:20.942839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.642008Z digest=sha256:4e79c8fb575f7c5a650819889ca04cf4c5774937f8346a6083c576343ef9751a

Observation 3d8f1cbf-8f3f-4124-ba73-ac791a347526 · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-10T22:26:20.929483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.645742Z digest=sha256:52bbfe0370188f8795619139e220a3c53670fed6bd181e5578c6985a7aa87e5c

Observation 905796cf-c01e-49ee-94ea-e960094e7f2c · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-10T22:26:20.649877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.649877Z digest=sha256:396049025b217f5192b191fd27c9e9dd2ab12d6b2025b2440e6e5e93b87c806d

Observation be296d40-4be2-47ef-bb38-25e989165e4d · outbound

This paper cites an unresolved cited work.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-10T22:26:20.653837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.653837Z digest=sha256:5876365dff6eaac8859d321a96d6a25f340408fa148bb6b3ebfb47bdd7b36328

Observation 48710d10-a064-4a2f-b230-eb45676a81bf · outbound

This paper cites Perozzi, R.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Perozzi, R

Reference 33

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no resolver link, observed 2026-08-10T22:26:20.657526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.657526Z digest=sha256:b1142053974cbf9298d54302ad50ca2b0de8f5b05c3304b03f37913f963e04dd

Observation d6d1bfb6-ac6b-4ad6-aac2-73610801465d · outbound

This paper cites Rozemberczki, R.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Rozemberczki, R

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:20.894532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.661394Z digest=sha256:acf60113efe3470899229376346b03cad76f9d4620880b36c5dc54b2af474bbb

Observation 7f57de7b-1c61-4844-b3e1-60b5fd7b4101 · outbound

This paper cites Learning Role-based Graph Embeddings.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Learning Role-based Graph Embeddings

Reference 35

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no resolver link, observed 2026-08-10T22:26:20.664853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.664853Z digest=sha256:6836a03aeb92518ac116d9466e3a3dd32ebdf463cea5bd40ea1cf19673002d82

Observation fb223359-3aea-4d46-a047-80642f390018 · outbound

This paper cites Béres, I.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Béres, I

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:26:20.882940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:26:20.669163Z digest=sha256:84ee4a8a05ec331f8652532d9dece1aa7bf68d25a7457253c0ac1672bb1ef9dc

Observation 55d31b09-5e4b-49bb-872f-aa32b0341be9 · outbound

This paper cites Hamilton, Z.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Hamilton, Z

Reference 37

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no resolver link, observed 2026-08-10T22:26:20.674242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.674242Z digest=sha256:0a5a7148e1f5f70be7f37298dc7d989e70abc6aeb9d7a798e65ac327f9d52bc3

Observation d223a4e7-db9e-4e1b-89b4-f9ee806c0b3a · outbound

This paper cites Graph Attention Networks.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection Graph Attention Networks

Reference 38

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no resolver link, observed 2026-08-10T22:26:20.678363Z

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source=pdf_text observed=2026-08-10T22:26:20.678363Z digest=sha256:d3615ab5c8899911ac360131df5901e242e2ced24b821201363d47fe20063eaf

Observation bcd91a69-1f5f-4a45-b1d5-1bd024d4f844 · outbound

This paper cites LeCun, Y.

Dynamic Feature Fusion: Combining Global Graph Structures and Local Semantics for Blockchain Fraud Detection LeCun, Y

Reference 39

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no resolver link, observed 2026-08-10T22:26:20.682812Z

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source=pdf_text observed=2026-08-10T22:26:20.682812Z digest=sha256:12a787dc126afd86fdd0c56c851751bad60b87841ab5301b949c8cf5781570f6

Pith citing papers

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