{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:B5CTTWWV6FIUY5QMAXKOLBBF4A","short_pith_number":"pith:B5CTTWWV","schema_version":"1.0","canonical_sha256":"0f4539dad5f1514c760c05d4e58425e03e931fc5b937641083da6f21ec2b053a","source":{"kind":"arxiv","id":"2208.12938","version":1},"attestation_state":"computed","paper":{"title":"TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Jiajing Wu, Jinhuan Wang, Meng Shen, Pengtao Chen, Qi Xuan, Xiaoniu Yang, Xinyao Xu","submitted_at":"2022-08-27T06:42:33Z","abstract_excerpt":"Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishing scam detection methods mostly rely only on the analysis of original transaction networks, which is difficult to dig deeply into the transaction patterns hidden in the network structure of transaction interaction. In this paper, we propose a \\underline{T}ransaction \\underline{S}ub\\underline{G}raph \\underline{N}etwork (TSGN) based phishing accounts identification framework for Ethereum. We first extract transaction s"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2208.12938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CR","submitted_at":"2022-08-27T06:42:33Z","cross_cats_sorted":[],"title_canon_sha256":"7595f88e8f4fce84068bcf8a9ebc8292cfad12fb9984cae0587cdd0076a5b70a","abstract_canon_sha256":"4b5684e8b3bb848fb48a7158f54e78cdea574fe6efd1055fd40166faf5c3f2bc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:52:01.347459Z","signature_b64":"brsV+MGfJMhoME6y/1l5IRugWssdPxABM/456NzcRH7yqtMkYqIX9+TKKNrJNu9BiyimNTVnyC2ybTCCxuVrBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f4539dad5f1514c760c05d4e58425e03e931fc5b937641083da6f21ec2b053a","last_reissued_at":"2026-07-05T04:52:01.346833Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:52:01.346833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Jiajing Wu, Jinhuan Wang, Meng Shen, Pengtao Chen, Qi Xuan, Xiaoniu Yang, Xinyao Xu","submitted_at":"2022-08-27T06:42:33Z","abstract_excerpt":"Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishing scam detection methods mostly rely only on the analysis of original transaction networks, which is difficult to dig deeply into the transaction patterns hidden in the network structure of transaction interaction. In this paper, we propose a \\underline{T}ransaction \\underline{S}ub\\underline{G}raph \\underline{N}etwork (TSGN) based phishing accounts identification framework for Ethereum. We first extract transaction s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.12938","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2208.12938/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2208.12938","created_at":"2026-07-05T04:52:01.346903+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.12938v1","created_at":"2026-07-05T04:52:01.346903+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.12938","created_at":"2026-07-05T04:52:01.346903+00:00"},{"alias_kind":"pith_short_12","alias_value":"B5CTTWWV6FIU","created_at":"2026-07-05T04:52:01.346903+00:00"},{"alias_kind":"pith_short_16","alias_value":"B5CTTWWV6FIUY5QM","created_at":"2026-07-05T04:52:01.346903+00:00"},{"alias_kind":"pith_short_8","alias_value":"B5CTTWWV","created_at":"2026-07-05T04:52:01.346903+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2506.03861","citing_title":"PulseReddit: A Novel Reddit Dataset for Benchmarking MAS in High-Frequency Cryptocurrency Trading","ref_index":22,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A","json":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A.json","graph_json":"https://pith.science/api/pith-number/B5CTTWWV6FIUY5QMAXKOLBBF4A/graph.json","events_json":"https://pith.science/api/pith-number/B5CTTWWV6FIUY5QMAXKOLBBF4A/events.json","paper":"https://pith.science/paper/B5CTTWWV"},"agent_actions":{"view_html":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A","download_json":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A.json","view_paper":"https://pith.science/paper/B5CTTWWV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.12938&json=true","fetch_graph":"https://pith.science/api/pith-number/B5CTTWWV6FIUY5QMAXKOLBBF4A/graph.json","fetch_events":"https://pith.science/api/pith-number/B5CTTWWV6FIUY5QMAXKOLBBF4A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A/action/storage_attestation","attest_author":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A/action/author_attestation","sign_citation":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A/action/citation_signature","submit_replication":"https://pith.science/pith/B5CTTWWV6FIUY5QMAXKOLBBF4A/action/replication_record"}},"created_at":"2026-07-05T04:52:01.346903+00:00","updated_at":"2026-07-05T04:52:01.346903+00:00"}