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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.534375Z digest=sha256:7e4d6b14f85ae3b51d494144678b0a0bc8114f63b5b59cdf8456d4243efa8f4e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.538824Z digest=sha256:3e135c5a90867408335d80a06b7022cefaeb925e0591f92fcb508f3b19a57498

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.542977Z digest=sha256:fdddfc555bebacff5f2ab2bd1009297dd83d711b7a379b77f58d5c05eb2085c7

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.547498Z digest=sha256:4d76f5e79f9f83d2521a5e115ecf76b5ed958cfe417bcf4cbe4e38278d6a87d2

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

Resolution
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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.551836Z digest=sha256:cf3d1451c035efdd7f0552674daabc76d8b778b05d43c460e9feb1a45cc21861

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=sha256:169731bec7a77761830ab068ab9d5709a9882c87f8e447c030868e9dba95c270

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.559920Z digest=sha256:794ceebbaf1504224317631a3d3ac5bf7a398682e9d494ca768fa77832a15ec6

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.564162Z digest=sha256:9f9a50c76919c7057d043eb394e21cc2a052dca5c5121e2706bcc7ab36ea4e9a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.567717Z digest=sha256:6be96d704474bcd06a741c17026d49fcd086790d833c1bde25a811564367fa0f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.572032Z digest=sha256:1b91f20e745a23cfedbeb595ec3b1c4bc161f58e8e2f916482a676b27cbe9c25

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.575877Z digest=sha256:5c7a0b8ba4f0125a50faff042128ac74a7e07fb1dfe71c06a0b257c29917a118

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.579859Z digest=sha256:2816bece75165362a5b1f579c1042431edfa65daf782935949c7ea27fb33fd09

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.583935Z digest=sha256:57d6efb2f74db786328665e61c732a9571270672d9f921f738e99655cf8a1308

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.590493Z digest=sha256:3b00075dc347951538f88e13dbd3c9a5b2cc72ffc61b2b422c3434e85bdd03e6

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.597509Z digest=sha256:a4b561dadcf431eecbd3cf826c9a33b8b536cae907b9c8c2a4a162b36af2bcd4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.601551Z digest=sha256:159f5a70e97b4dd1f50611b1dd22d0e634174009d8cc8f83301afd4d87ede59e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.606435Z digest=sha256:87b22d64780352726c9582ba3f067f46fa13d455e2482c8c89d2242d752321ca

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.610712Z digest=sha256:7c8b3a50bddf35860b4895ae086ebdd6083a289f50981686387dd4f9d8929891

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.618120Z digest=sha256:2ba69d7378a7952256e946f87bb9f1066f6e0cf671fde08e021b6a32da5bf294

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.621301Z digest=sha256:dcc3bb95e8a895c7435460674b682a4f4dce2cda01871a23b6bd19c80f1a0e41

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.625130Z digest=sha256:412032720f320590fae2ad1d44191630ad88a7fd4788c7af4730aee41e28dbab

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=sha256:2d26abf7dd0d4f0b6d3cd327ce2c2a81787a2eedfa0a3622c79b599b972b04ad

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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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.642008Z digest=sha256:e460ab01a41ca6e10513c4693ba0ca525a4001ddd6803381f809ffe3e09f96af

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.645742Z digest=sha256:16b47d98d4d576cbd865bf44bf900620c4690ff48afbc0969ade8c5a01655f14

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=sha256:396049025b217f5192b191fd27c9e9dd2ab12d6b2025b2440e6e5e93b87c806d

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.661394Z digest=sha256:985bac8b2f5eae6d3862c68f503b5e1a279d675bf6bbaf4ff77a15ac02648b58

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T22:26:20.669163Z digest=sha256:1e76c6f4656a5df043b2f80caca0d12401cdcd7596761e92ff90e0f6ebf7ab33

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

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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

No inbound Pith citation observations are available.