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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:7530764149133f993e6f49a390f422bad76a13af2cbb351e60e038d9c2d7c570

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.534375Z digest=sha256:3861e1664352a0f950093425355e9920ce9ffe06bf25618eb66c68400dc96d66

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.538824Z digest=sha256:5fc69763adc07c3ef0476e7b6d2b6595b6b49436bc5e2785abca4eee664d5285

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.542977Z digest=sha256:4141b699197eac999f599bdd4df9ff1cac8abd51fa7c07de6644dbd2776a9d5f

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.547498Z digest=sha256:accbc31442dd1fb93038f63b14b54ddaf34413c7fa532eafe79ce41a28b7fb1a

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 2026-08-20T06:33:59.587034+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.556034Z digest=sha256:668f2df799aaa324f57c133c6f072427d586d9f378ab2042126001ef770e1ca6

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.559920Z digest=sha256:c898b0e1362dec2a6dacd8329f8bc2f3623c6a4a96c96887d105610df6f8cb19

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.564162Z digest=sha256:f5017935d8f4ea07433d4a81849b0132dbdf751bbc593c7d31ee3a163067f925

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.567717Z digest=sha256:7736f9323851acc5bf068fdfb6413ef5f62f168d2d3cccbf2115b10411982556

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.572032Z digest=sha256:5a692c9f67c68147a196981ed8ec8bc0ab67c37cfb4b3f58f0b6245d92bf1b5d

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.575877Z digest=sha256:c88fe584a8ebb1f5221217cced0f743ff5c9de2328b0e8049751f2633b8c56fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.579859Z digest=sha256:62c9eb29cc853ee87011f4bafb708ee56ec8e733507963710d2a6b38e52a66b9

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.583935Z digest=sha256:68efd57dce30b84b653a35314a179cb89755bc4cba8b3b3234b7a9000e651a6e

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:b1a9fd3973ff32670187f6129b55823b1e0433ad60bcbb42a1a9d36c6704b18e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.590493Z digest=sha256:28caee0e0c6f6c6ad244841bb7316dd68208e5c7df98ddb1a627956a4c318eed

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:dbf0b2a8646ffbc54c7a984f8f5ba751e71b11696d563c7b2649aef2a38143c6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.597509Z digest=sha256:12f06914f026c52b1229dc000bb7d90ef28ee2fecbb4d497395af4afe7d30a82

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.601551Z digest=sha256:b61662d4ce86f62fa19a70f19cf4759d32ffd0529332a38e73fb6c7094007df4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.606435Z digest=sha256:4abffa39ad153fb6b4cad61f33c6c5a91e6b07e135dde0a4a0dc62a0c1a91b7c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.610712Z digest=sha256:8bf14cc243b61bda269c3f61aff0193c4edf08ac577ae5e8c47695377d8573bc

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:f657cdb7c6cb3ba5d7b2c4a7af5350e97cc462781aec84cb849206cfa4113328

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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.618120Z digest=sha256:709c9b573cc87ca08f9e7a753dab5e8167724ac66dfbb3f81dc167fdcb2efb4e

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.621301Z digest=sha256:b6edacd8285213d1a1f694191469e1e6b602141d60702c1b2e3bde722b9bf816

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.625130Z digest=sha256:ec642ffb22c51e9767f9d43c2b2895265a0baa27a0654755bb251451ea3db67a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.628991Z digest=sha256:858782ec0f532b621a5472eb28daed5cac91fd95af048af098a97ba9d19343e5

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

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source=pdf_text observed=2026-08-10T22:26:20.633289Z digest=sha256:b4f4f4526faf913ee26484bed46441424dcf7074ffdd0c15bac4b8bf351bd13e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.637702Z digest=sha256:fac9afb9b2600fe7f1efd56abcc322a3cd80df115cd1009a469a1e203db43220

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.642008Z digest=sha256:2801b90181e27d1dd2d7033c8ec114d41e20cb5dd7195baaece0f8f3344bc32a

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.645742Z digest=sha256:7b47b488bc1c9998ae9571e54f7370e6b0d7f3def16644b11977413c1872c9d6

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:26:20.649877Z digest=sha256:5ba7d39b8680e2c208cafc4cc1900c58aa960c67417f5792fd8b301de474b0d1

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=sha256:5e6e21baf72ac9f6a3fc3442fc497763df49a9c6745ac344a6e74ab21850ea1d

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=sha256:575e4cea50f0b43e88cc9199adaa338498b22b535086f300409db2a1a9a3b677

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.661394Z digest=sha256:c3fda9a009355b9aca2c24d3df6150079af47df6b855cfa06355901695a14b5e

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=sha256:9bb4f6c5ba58fd39e355404fd537c1c70870d5f565e7f0d28cb92b3f37432914

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T22:26:20.669163Z digest=sha256:cd02be2eab2739bac06c70fbfab4f779a97be92215f8159c7977439a3f16ffaa

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

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source=pdf_text observed=2026-08-10T22:26:20.674242Z digest=sha256:e7f61c7192c8247a410017f98a6d7614154c1789694f947cceac90b536028dd2

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=sha256:8adb856a1ef1334c9749d775e0a0490ab1f8cbc0a3defcffb859eb4a7a4e2122

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=sha256:5841360919841669ed266f83d10c90931e82a6ce7580034decb9f524e6b9b6f6

Pith citing papers

No inbound Pith citation observations are available.