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Paper Citation Record · LEDGER

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection

As of 22 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2509.03860.

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

pith.paper-citation-record.v1
2509.03860 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:42:19.978820Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy39
  • unresolved21
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f47d16e6-635c-44ae-a0c3-5595e532f2a1 · outbound

This paper cites Catalog: Exploiting joint temporal dependencies for enhanced phishing detection on ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Catalog: Exploiting joint temporal dependencies for enhanced phishing detection on ethereum,

Reference 1

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Unavailable: canonical work link unavailable.

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Observation e432c5a7-b355-407c-9d55-cded0082a82c · outbound

This paper cites Blockchain cross-chain bridge security: Challenges, solutions, and fu- ture outlook,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Blockchain cross-chain bridge security: Challenges, solutions, and fu- ture outlook,

Reference 2

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raw_fallback, observed 2026-08-05T10:42:20.535295Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fac44043-808a-4b4b-bd64-e98bc75da67d · outbound

This paper cites Dapphunter: Identifying inconsistent behaviors of blockchain-based decentralized applications,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Dapphunter: Identifying inconsistent behaviors of blockchain-based decentralized applications,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e656aed-b564-436f-b7d8-e8ab9e6cc009 · outbound

This paper cites Dissecting Payload-based Transaction Phishing on Ethereum.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Dissecting Payload-based Transaction Phishing on Ethereum

Reference 4

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local_arxiv, observed 2026-08-05T10:42:20.098245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.099950Z digest=sha256:6c3df84fb291c0a436962643f296019c0b42f9a95b2a764f9ce2f9fc80104125

Observation 56a3aced-2c40-4660-b37a-f8f7c8d8361a · outbound

This paper cites Toward understanding asset flows in crypto money laundering through the lenses of ethereum heists,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Toward understanding asset flows in crypto money laundering through the lenses of ethereum heists,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.204717Z digest=sha256:83deefc49f4f1274af66dcf368291abeaecefb70c07c6e80959c4b675f4bc0a8

Observation 5ab8fa3f-97d6-44b0-b0c3-deac68659543 · outbound

This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Measuring and relieving the over-smoothing problem for graph neural networks from the topological view,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d3219576-bb9c-4a73-8eb9-c126957c4671 · outbound

This paper cites Not too little, not too much: a theoretical analysis of graph (over) smoothing,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Not too little, not too much: a theoretical analysis of graph (over) smoothing,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f9a70831-6c06-4c93-9047-3497288a2096 · outbound

This paper cites Bert4eth: A pre- trained transformer for ethereum fraud detection,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Bert4eth: A pre- trained transformer for ethereum fraud detection,

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f03901c6-21f8-481e-9888-93711be4d98e · outbound

This paper cites Zipzap: Efficient training of language models for large-scale fraud detection on blockchain,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Zipzap: Efficient training of language models for large-scale fraud detection on blockchain,

Reference 9

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 044f15db-1bad-438a-8765-d2d7884aa863 · outbound

This paper cites Ethereum fraud detection via joint transaction language model and graph representation learning,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Ethereum fraud detection via joint transaction language model and graph representation learning,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.826907Z digest=sha256:08c8d13aba6a9e262462b05bc0e4de94660e37041583c98e6552ae6b837aa36b

Observation 7f0d3af9-f19b-4877-b0a2-5ecbcb0640c4 · outbound

This paper cites Dynamic feature fusion: Combining global graph structures and local semantics for blockchain phishing detection,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Dynamic feature fusion: Combining global graph structures and local semantics for blockchain phishing detection,

Reference 11

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 03231601-78dc-4d89-8a28-b9c502ac0129 · outbound

This paper cites Detecting ponzi schemes on ethereum: Towards healthier blockchain technology,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Detecting ponzi schemes on ethereum: Towards healthier blockchain technology,

Reference 12

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 486f83e2-1d59-47c3-beb8-998db508127c · outbound

This paper cites Understanding blockchain: Definitions, architecture, design, and system comparison,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Understanding blockchain: Definitions, architecture, design, and system comparison,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.836061Z digest=sha256:1342ca0a2a6aed3f2774fffb3d335cc23405bfc4db8436896b3da8fc25dac54b

Observation e55a9ff8-1fad-4d02-ad8c-e3883bc87745 · outbound

This paper cites Ai-powered fraud detection in decentralized finance: A project life cycle perspective,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Ai-powered fraud detection in decentralized finance: A project life cycle perspective,

Reference 14

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.838932Z digest=sha256:140888ac73a3d3b0f010de76dd3b6212a77c71d1393be50024702a80e4d1bb0a

Observation 9aeac886-7dbb-431d-a86b-cb07a47cc797 · outbound

This paper cites Who stole my nft? investigating web3 nft phishing scams on ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Who stole my nft? investigating web3 nft phishing scams on ethereum,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 104df9be-abb7-43fa-b361-db27f30d70db · outbound

This paper cites Defort: Automatic detection and analysis of price manipulation attacks in defi applications,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Defort: Automatic detection and analysis of price manipulation attacks in defi applications,

Reference 16

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f9dfaaec-496f-4f8c-a88c-01a37f5ff893 · outbound

This paper cites Txphishscope: Towards detecting and understanding transaction-based phishing on ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Txphishscope: Towards detecting and understanding transaction-based phishing on ethereum,

Reference 18

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 1809627b-f018-4bdd-9ebe-9cd3135532a8 · outbound

This paper cites Characterizing ethereum address poisoning attack,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Characterizing ethereum address poisoning attack,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 75d7b10c-b42e-42fc-b69a-1fea4e507a27 · outbound

This paper cites A novel hybrid feature fusion model for detecting phishing scam on ethereum using deep neural network,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection A novel hybrid feature fusion model for detecting phishing scam on ethereum using deep neural network,

Reference 20

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.856249Z digest=sha256:c4b759d7104f59d22daf12cbe45c6d6b65d1501a63ec604c07a18e2891092697

Observation 32728636-3daf-4cd0-a42c-6b996746a021 · outbound

This paper cites Transaction-based classification and detection approach for ethereum smart contract,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Transaction-based classification and detection approach for ethereum smart contract,

Reference 21

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e37db42e-6fc9-40e3-8aa8-286d50956319 · outbound

This paper cites Enhanc- ing ethereum fraud detection via generative and contrastive self- supervision,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Enhanc- ing ethereum fraud detection via generative and contrastive self- supervision,

Reference 22

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2d8ad052-2282-46ee-8062-ede8a1e36138 · outbound

This paper cites 2dynethnet: A two-dimensional streaming framework for ethereum phishing scam detection,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection 2dynethnet: A two-dimensional streaming framework for ethereum phishing scam detection,

Reference 23

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.864604Z digest=sha256:b122e01eb915536e356f297596333e5063f2dd98a830b676865631589712170c

Observation ca609cb0-176e-4635-a68a-dde56306c817 · outbound

This paper cites Towards effective detection of ponzi schemes on ethereum with contract runtime behavior graph,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Towards effective detection of ponzi schemes on ethereum with contract runtime behavior graph,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ee80d9a3-02d1-4d10-9c91-e2dc8835dd4e · outbound

This paper cites Treat: Temporal and relational attention-based tensor representation learning for ethereum phishing users,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Treat: Temporal and relational attention-based tensor representation learning for ethereum phishing users,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2827d7bd-b0f8-45c3-90d2-156748f3f53b · outbound

This paper cites Phishing scam detec- tion on ethereum: Towards financial security for blockchain ecosystem.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phishing scam detec- tion on ethereum: Towards financial security for blockchain ecosystem

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.873490Z digest=sha256:f6a1e1ef32076e6c98f8cd702ebee60bcd9dcb0df6ce931ab47deeec4c409f44

Observation 644a30c9-234c-4f7a-8ac6-22700fe1860e · outbound

This paper cites Ewdps: A novel framework for early warning and detection on ethereum phishing scams,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Ewdps: A novel framework for early warning and detection on ethereum phishing scams,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.876229Z digest=sha256:6038ac1386d042cc26f51199a74a05a8e5b871db7b4bfe2e14ce200c9aae83c0

Observation a004f009-851b-4123-864a-f316506fb943 · outbound

This paper cites Behavior- aware account de-anonymization on ethereum interaction graph,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Behavior- aware account de-anonymization on ethereum interaction graph,

Reference 28

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raw_fallback, observed 2026-08-05T10:42:20.313338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.879272Z digest=sha256:a47368a6f6cea3bd6fdde996f51b675c2fa6bbadc3d2d19cbff721e2c60a62ec

Observation ef72cc0e-b58e-4685-a70c-664566d0f4d3 · outbound

This paper cites Phishing detection on ethereum via attributed ego-graph embedding,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phishing detection on ethereum via attributed ego-graph embedding,

Reference 29

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raw_fallback, observed 2026-08-05T10:42:20.303971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.882389Z digest=sha256:f1d1030278e8c2c4e366cdcb709fd196c428feecd8ada6f632510b140e29addb

Observation 1fe494d3-8d60-4e35-a775-d1cea0fd53a3 · outbound

This paper cites Fishing for fraudsters: Uncovering ethereum phishing gangs with blockchain data,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Fishing for fraudsters: Uncovering ethereum phishing gangs with blockchain data,

Reference 30

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raw_fallback, observed 2026-08-05T10:42:20.294552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.885132Z digest=sha256:e45fb5c909fb80448a010b5430e48318bed30fddafe2be70a6ce1d162b6835ea

Observation 0f98d5a5-3be3-474e-b881-64d3cad0e4cf · outbound

This paper cites Phishing scams detection in ethereum transaction network,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phishing scams detection in ethereum transaction network,

Reference 31

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raw_fallback, observed 2026-08-05T10:42:20.285555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.887652Z digest=sha256:a0aeef81f9e726c872ee188013ccf70303a7cb4fa73326ac5389ab2380a2fb92

Observation 7afeb27c-6966-4723-84b2-80e1a03ff7b0 · outbound

This paper cites Who are the phishers? phishing scam detection on ethereum via network embedding,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Who are the phishers? phishing scam detection on ethereum via network embedding,

Reference 32

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no resolver link, observed 2026-08-05T10:42:19.890347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:42:19.890347Z digest=sha256:5321641870fb9bae4d546fa01e7154024921bc507345bef9d7e7ae0233a5322d

Observation ddd66cc3-4426-4bd7-a8bf-75b9c1c9526c · outbound

This paper cites Deepwalk: Online learning of social representations,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Deepwalk: Online learning of social representations,

Reference 33

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no resolver link, observed 2026-08-05T10:42:19.892806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:42:19.892806Z digest=sha256:5aa3c7cfc239ece66683da287551bef8d8df208e3a3413b32107eb200c212729

Observation 70d0b30f-ddc0-4c4e-aa2a-4b22d45a4d26 · outbound

This paper cites Phish2vec: A temporal and heterogeneous network embedding approach for detecting phishing scams on ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phish2vec: A temporal and heterogeneous network embedding approach for detecting phishing scams on ethereum,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.895515Z digest=sha256:9e18199cce90eb36924939874869f2784f46cfc921622717ddb8cf41fe22270c

Observation 05ef16b9-4b38-4c60-83bd-6178ce6c68ae · outbound

This paper cites Phishing fraud detection on ethereum using graph neural network,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phishing fraud detection on ethereum using graph neural network,

Reference 35

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source=pdf_text observed=2026-08-05T10:42:19.898559Z digest=sha256:73955fc35c082ff6281b00bc8cf27390494245eb14260871f6132e1e9c1100da

Observation 101a1f82-898e-49e0-81b0-4453dc6fa24f · outbound

This paper cites Phishing scams detection via tem- poral graph attention network in ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Phishing scams detection via tem- poral graph attention network in ethereum,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.901570Z digest=sha256:cfecc4dac39845a62985f64b76e864a96613c20a8bbcd729230debe494ec3e4a

Observation f6120d49-df5f-4332-bd97-6912d0b5ba8b · outbound

This paper cites Siege: Self-supervised in- cremental deep graph learning for ethereum phishing scam detection,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Siege: Self-supervised in- cremental deep graph learning for ethereum phishing scam detection,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.904283Z digest=sha256:1e871f4c419a7054c38b53106777404395889bf6dd298003db777583736b0816

Observation 55f9a732-69d8-4829-8805-adcfbfc4e9b6 · outbound

This paper cites Tokenscout: Early detection of ethereum scam tokens via temporal graph learning,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Tokenscout: Early detection of ethereum scam tokens via temporal graph learning,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.907060Z digest=sha256:82ad724c7be36905e0c3478f405ba5bbbf092785b679064289eb6d4b69fdd444

Observation a865e6db-12e8-44a6-bb07-cbf542f472e0 · outbound

This paper cites Tsgn: Transaction subgraph networks assisting phishing detection in ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Tsgn: Transaction subgraph networks assisting phishing detection in ethereum,

Reference 39

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source=pdf_text observed=2026-08-05T10:42:19.909781Z digest=sha256:23581b1fd6cfb8f439a02a8bfd610a9ed916ef1800cb08b41b4706f5dd243efc

Observation eba623ef-1905-47b0-b366-528e91b6713e · outbound

This paper cites Grabphisher: Phishing scams detection in ethereum via temporally evolving gnns,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Grabphisher: Phishing scams detection in ethereum via temporally evolving gnns,

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-05T10:42:20.212575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.912459Z digest=sha256:be7188330778623256144a45d5f0101ab913c3316580e1df6e313496d1a6bf1f

Observation 3f0c6d2a-0217-4b64-8cb1-2313127533ea · outbound

This paper cites Dynamic feature fusion: Combining global graph structures and local semantics for blockchain phishing detection,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Dynamic feature fusion: Combining global graph structures and local semantics for blockchain phishing detection,

Reference 41

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raw_fallback, observed 2026-08-05T10:42:20.202670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.915305Z digest=sha256:5a3c34dc125abbb0f62b9a450cef5a8de4aad546ca48131bec76bb748762cacc

Observation cf76fcd8-4554-4296-8562-54e337f75e9e · outbound

This paper cites The graph neural network model,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection The graph neural network model,

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-05T10:42:20.193024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.918163Z digest=sha256:1be175ed4add85f788094b7e22a6d7ee5ff82189b85ea89ed14985f892cff32d

Observation 187e74e4-5ae5-433e-bfd4-8d7416d201ac · outbound

This paper cites Graph Attention Networks.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Graph Attention Networks

Reference 43

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T10:42:19.921374Z digest=sha256:888aca5f04e3f5ebf84f717bcd701525514d2706f01ba0b48b29355e1b721da0

Observation 653afc59-88c0-4bf2-8af7-8b4c65a84727 · outbound

This paper cites K-bert: Enabling language representation with knowledge graph,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection K-bert: Enabling language representation with knowledge graph,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-05T10:42:20.183760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.924621Z digest=sha256:4b86beced89df3de58c37e07f62f584d59b93f78b69f88a00f86ee5117adb210

Observation 879e7887-a60a-41fa-8f8a-c968094b53f3 · outbound

This paper cites Translating embeddings for modeling multi-relational data,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Translating embeddings for modeling multi-relational data,

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-05T10:42:20.174193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.927222Z digest=sha256:9977765967cb7be1477225e972171a3d6b12d9db06ac9e553b665e806a247110

Observation d0b09bac-be56-4d65-8b19-56047ad575c8 · outbound

This paper cites XBLOCK Blockchain Datasets: InPlusLab ethereum phishing detection datasets,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection XBLOCK Blockchain Datasets: InPlusLab ethereum phishing detection datasets,

Reference 46

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source=pdf_text observed=2026-08-05T10:42:19.930393Z digest=sha256:ea9603accc8f13a74a3e562485665100c46f3540ac332414d3e535313f62df81

Observation 592d4f06-e77b-4d26-87cf-8865bf2c73d1 · outbound

This paper cites Xblock-eth: Extracting and exploring blockchain data from ethereum,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Xblock-eth: Extracting and exploring blockchain data from ethereum,

Reference 47

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source=pdf_text observed=2026-08-05T10:42:19.933464Z digest=sha256:1ffc187b8d85bb3e061eb92202c32c72be74d5aede1cd357ef8bffbef3a7c86d

Observation d2a8ded7-ffe3-4130-a639-c46d9b69b0cb · outbound

This paper cites Etherscan labels: Full label data dump of top evm chains in json/csv,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Etherscan labels: Full label data dump of top evm chains in json/csv,

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.936402Z digest=sha256:c6ae2392e83681613e8395242329b3568083f4fc411f6c576726d6ba3888226d

Observation f8f775d3-967a-4553-9033-f2be124a5a33 · outbound

This paper cites role2vec: Role-based network embeddings,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection role2vec: Role-based network embeddings,

Reference 49

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source=pdf_text observed=2026-08-05T10:42:19.939419Z digest=sha256:e57c3d09482e997596356a994c777171f989cae9870391aaadbd82e78dd5dcec

Observation f4b13e16-5a44-46cb-b9e1-027f3002dd9d · outbound

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

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Semi-Supervised Classification with Graph Convolutional Networks

Reference 50

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source=pdf_text observed=2026-08-05T10:42:19.942733Z digest=sha256:8fda960be9796815889e498927fa2912aec3d9703a0f20e6c505f8cb51b59b55

Observation 12e4dc8f-f2ad-4552-a890-e27bfcbe130b · outbound

This paper cites Inductive representation learning on large graphs,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Inductive representation learning on large graphs,

Reference 51

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source=pdf_text observed=2026-08-05T10:42:19.945962Z digest=sha256:fe92ae6b7e700c339acf1ca505828a8a55561ac627faeddaf29bab7bbd1123b9

Observation a0ef3f3e-0ab3-46e8-8bca-ed7d251def34 · outbound

This paper cites Hierarchical graph representation learning with differentiable pooling,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Hierarchical graph representation learning with differentiable pooling,

Reference 52

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source=pdf_text observed=2026-08-05T10:42:19.949350Z digest=sha256:3a199e1b94cad8accde52d409cd2d7a8020d251f3c714cb2e40d727877155025

Observation 1690ade2-ce38-4f80-9f1d-929973344989 · outbound

This paper cites Universal Graph Transformer Self-Attention Networks.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Universal Graph Transformer Self-Attention Networks

Reference 53

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source=pdf_text observed=2026-08-05T10:42:19.951969Z digest=sha256:5ef0f209420b466c880389a5f198c1f72279db0065fe850e5bd0c1ab8f27985f

Observation acadbbd0-26f3-4a0b-b628-643feea68f04 · outbound

This paper cites graph2vec: Learning Distributed Representations of Graphs.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection graph2vec: Learning Distributed Representations of Graphs

Reference 54

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source=pdf_text observed=2026-08-05T10:42:19.954963Z digest=sha256:0192b1c052d5e797a2fdd04d44f39953b0886a7b889e0cb73192ea99e9c5bcfc

Observation e90694c3-2dca-450e-80b1-636ce44591ee · outbound

This paper cites Grabphisher: Phishing scams detection in ethereum via temporally evolving gnns,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Grabphisher: Phishing scams detection in ethereum via temporally evolving gnns,

Reference 55

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source=pdf_text observed=2026-08-05T10:42:19.957857Z digest=sha256:4edce03c6af1e0c2fc7111442f2400dacd055f086b203fa1795c85a239ad5a82

Observation 8879a5b8-dbbd-464e-b192-45120f6b81b3 · outbound

This paper cites Variational Graph Auto-Encoders.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Variational Graph Auto-Encoders

Reference 56

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source=pdf_text observed=2026-08-05T10:42:19.960478Z digest=sha256:f7ec54f8b323c12695d91b71691a7427156e58ae35302768f71697070b7454dd

Observation 3a40a9a3-04c7-49e0-994e-329ae8badbdc · outbound

This paper cites Graph Attention Auto-Encoders.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Graph Attention Auto-Encoders

Reference 57

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source=pdf_text observed=2026-08-05T10:42:19.963291Z digest=sha256:0eab8733429ef3f347aed4244d2066a70d56288272490fca0b7fe184251498f9

Observation fcb0c417-3bce-4cfc-b364-6980ffa3ce10 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 58

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source=pdf_text observed=2026-08-05T10:42:19.966101Z digest=sha256:26588c8137450ee38ed0795f94ca1ed62fbda63bd1808572d074026f0d428627

Observation bc8268b9-5983-4bde-b69b-9387ef112ebd · outbound

This paper cites Quaternion knowledge graph em- beddings,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Quaternion knowledge graph em- beddings,

Reference 59

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raw_fallback, observed 2026-08-05T10:42:20.118846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.969580Z digest=sha256:aede74c3f75db16e27c9d9c2270e9e86473ed7f840a471253f37ae046e5ee289

Observation 4ca15ee7-8576-441a-9e34-e01c830860f4 · outbound

This paper cites Com- plex embeddings for simple link prediction,.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Com- plex embeddings for simple link prediction,

Reference 60

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raw_fallback, observed 2026-08-05T10:42:20.109125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-05T10:42:19.973002Z digest=sha256:01ea3ee2b4dacddf231b0c0fca89275d8c31aa6bbef8f7465498dd66cedb492d

Observation 0bfb4fe6-ac56-49b8-a162-c9a0c601f527 · outbound

This paper cites RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Reference 61

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:42:19.975868Z digest=sha256:dbe6d3648adec43dc20fc48810877112ced486a6887675113c6093f5a01a6217

Observation 6fb5b0cd-6a65-4283-8d58-98782b3a4224 · outbound

This paper cites Embedding Entities and Relations for Learning and Inference in Knowledge Bases.

KGBERT4Eth: A Feature-Complete Transformer Powered by Knowledge Graph for Multi-Task Ethereum Fraud Detection Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Reference 62

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source=pdf_text observed=2026-08-05T10:42:19.978820Z digest=sha256:161083cdc0472b018281b7c6d83abc1bd77002c08c4a49118dbbd3623391af74

Pith citing papers

No inbound Pith citation observations are available.