{"as_of":"2026-08-09T18:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:865b44313a960e3806c0af7cb1a852d75b53f22d82673ba43d243d284f67bc00","coverage":[{"denominator":55,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":55,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T10:36:43.731070Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.03939/citation-record","integrity":"/paper/2509.03939/integrity","json":"/paper/2509.03939/citation-record.json","paper":"/paper/2509.03939"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:51.051575Z","title":"Artificial intelligence for cybersecurity: Literature review and future research directions,","venue":null,"work_id":"d3ccc50a-c855-4040-a8d1-0879eaa62ce8","year":2023},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.353255Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:2bd3f2535d29e6cc8659c4cedee22bb44faf5459d963df327c4c0107c9f96789","observation_id":"5cecac00-462c-447c-bdcc-85fa788ef3d9","resolution":{"observed_at":"2026-08-05T10:36:51.122115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.888167Z","title":"Efficient and dos-resistant consensus for permissioned blockchains,","venue":null,"work_id":"ec8dde05-3e12-4fab-aeed-1d0e46b6fb9b","year":2022},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.395550Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:e85c0235190ae24751d56d09538ddc4a0bfcaef560742002abf5a00e66651d55","observation_id":"3d8da5c1-bdde-4ed1-b70a-6c647141533a","resolution":{"observed_at":"2026-08-05T10:36:50.958536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.730441Z","title":"Blockchain challenges and opportunities: A survey,","venue":null,"work_id":"f301edeb-ab3f-4739-9f56-b596a2e2ff96","year":2018},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.490400Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:83cd5ac39c7c47044baf74417a6b61a572a4b73bca2f18cd7b0c94c697cacaea","observation_id":"2fb0c91f-eef4-4545-81e5-978b86a58a0f","resolution":{"observed_at":"2026-08-05T10:36:50.800392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.598843Z","title":"Understanding security issues in the dao governance process,","venue":null,"work_id":"92a44529-15da-45ba-a7fa-fecaea60109b","year":2025},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.516974Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:c512f77277a1f669e0e5ae4e6602ed5d981cd52cbbc044bae9b8f2c51a383fc1","observation_id":"bedafe9e-fdea-4e81-b419-bb6f23689449","resolution":{"observed_at":"2026-08-05T10:36:50.662841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.432028Z","title":"Natural language processing in finance: A survey,","venue":null,"work_id":"71e662cc-194e-4c00-98bb-3ed582058fb4","year":2025},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.613559Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:ffdf635e317dbe5f112c7b8c36f5f3dee40f3fe73fae145d9fcda7b8762e2e8f","observation_id":"037724c8-dc48-4a6d-b28d-49a8f8c2a2cf","resolution":{"observed_at":"2026-08-05T10:36:50.505825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.292574Z","title":"The Chainalysis 2024 Crypto Crime Report,","venue":null,"work_id":"9c6df8e2-3cb3-405c-aca1-9733d7972183","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.666546Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:38719c48ea383623a3076c0b5e9d3e4be862686f3969c27d9ef62ac50ba702ea","observation_id":"8313c896-d14e-4186-8d38-2970f1a4e18b","resolution":{"observed_at":"2026-08-05T10:36:50.350605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.150408Z","title":"Lessons learned from blockchain applications of trusted execution environments and implications for future research,","venue":null,"work_id":"1fb79be5-7b67-42a5-b3ec-64b1218822de","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.740842Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:2408bdd1899ed9f36661f549d9268bf338c01c93c277bb98b532acca7ff3cc96","observation_id":"dd0e6a88-3eda-49bc-96c6-675bd746b8e6","resolution":{"observed_at":"2026-08-05T10:36:50.225743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:50.030407Z","title":"Ttagn: Temporal transaction aggregation graph network for ethereum phishing scams detection,","venue":null,"work_id":"0531f1fc-cf77-445e-bf30-74b0abd93090","year":2022},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.783048Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:45fa6c218ef9d009540fe984a619a2766662467408f826f4c67e32ffc27f5c75","observation_id":"85b63679-58e0-4f03-bd17-5eb045bf4d01","resolution":{"observed_at":"2026-08-05T10:36:50.074868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.877740Z","title":"Graph neural network based phishing account detection in ethereum,","venue":null,"work_id":"31bac98b-d3ad-4992-a05e-1763487359db","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.827165Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:4e5cc783a3c9c5517907b9405fa7ea282e5f7f6c5b79c6815646671a0501c87e","observation_id":"15a7f5c2-8d7b-49ed-943a-85d71583c87c","resolution":{"observed_at":"2026-08-05T10:36:49.948455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.746281Z","title":"Ethereum phishing scams detection: A survey,","venue":null,"work_id":"37e4668d-0fed-4cf6-86ae-515d695399dc","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.942924Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:a5235facd2e386004fc605083db4437f26d807c7721ba7d2f9f3b817d3dc39ea","observation_id":"aa095b22-3b5b-499c-becc-e6ac7cd8957d","resolution":{"observed_at":"2026-08-05T10:36:49.793953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.596318Z","title":"High-frequency trading on decentralized on-chain exchanges,","venue":null,"work_id":"ea4190c6-039a-4dd7-bbaa-e6d3898d46a9","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:39.993677Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:00525664980bd8f6af230586e7c5e0e2bc0015aad71285ce0c6773006135012c","observation_id":"7ae4a301-991a-4eae-bab0-c8f19e5a9303","resolution":{"observed_at":"2026-08-05T10:36:49.644951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.456256Z","title":"Quantifying blockchain extractable value: How dark is the forest?","venue":null,"work_id":"c13a8291-c88b-4c81-acfa-78f2b06a1632","year":2022},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.015913Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:cd088eab3c8a30b4c680413e1a2eeac0dfab3ec86691b529fdbe07d7f44eafe3","observation_id":"7faebe75-3e80-4ab9-9c5f-264a79481f45","resolution":{"observed_at":"2026-08-05T10:36:49.513448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.323756Z","title":"node2vec: Scalable feature learning for networks,","venue":null,"work_id":"03384e60-351a-4776-b4d8-c5b20b2d52b1","year":2016},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.061785Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:03a95e795de6b6e5eb7e29d91dde04232267bcb925dccdba4ea7b8825677a366","observation_id":"c01da293-acae-4874-8c0d-13ceef09bf18","resolution":{"observed_at":"2026-08-05T10:36:49.373550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:49.165911Z","title":"Graph neural network for ethereum fraud detection,","venue":null,"work_id":"613d9970-e882-4842-a8c3-e6baa2c5d1dc","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.090898Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:7fd61381bd4981cd399819e1fdc467df2f3ce38076b9c8c22916872346127218","observation_id":"a74662e5-d3ae-4fba-a661-13263d097f7a","resolution":{"observed_at":"2026-08-05T10:36:49.238771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:48.975723Z","title":"Detecting phishing scams on ethereum based on transaction records,","venue":null,"work_id":"5b2c4924-3eb3-4f23-9dfa-ba43e15a17ab","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.143203Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:4638d98a9a2d066d8559e9cf7d041b3dfbe4c4fb70c2668b5c869a0e51af1f55","observation_id":"dc6c6118-e294-43d6-b7f9-c98fdd899d53","resolution":{"observed_at":"2026-08-05T10:36:49.092306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:48.729334Z","title":"Who are the phishers? phishing scam detection on ethereum via network embedding,","venue":null,"work_id":"6bc96e42-bcfa-49ca-9b75-ba923fd99faf","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.176376Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:3f4f3f2c573e5d52987f4382406ad4a8b231c2c6adada2094a46682ce5131cfa","observation_id":"fa5c7413-5a0c-4f89-b5da-6509678fae95","resolution":{"observed_at":"2026-08-05T10:36:48.852160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:48.515126Z","title":"Deepwalk: Online learning of social representations,","venue":null,"work_id":"5134a5e9-dc42-48c2-a4a0-4099d0572a59","year":2014},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.203196Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:4728f74aeb86afd9f27e81f1873d4bd3a59668814c7ce2cac24753df1f0e6e57","observation_id":"20783970-7866-48bd-9a8f-2b23a459bb2b","resolution":{"observed_at":"2026-08-05T10:36:48.616481Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:48.334790Z","title":"Phishing fraud detection on ethereum using graph neural network,","venue":null,"work_id":"1c32fc63-492c-4ade-9b18-f852a7300fe1","year":2022},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.250288Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:c771902cc12a8df8f24f001af36eb66ed28e4e8a3d876f22e27f15f02bf62108","observation_id":"4527a621-8e46-40ac-965f-dda9e2b0cd44","resolution":{"observed_at":"2026-08-05T10:36:48.416006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:48.155798Z","title":"Graph neural network for ethereum fraud detection,","venue":null,"work_id":"c1c470e3-8cd3-4635-9909-8fe14832b273","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.275764Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:058dfa72f3e5c704e981495c9909754988eb3e107f7b2ea031d4033b752fb660","observation_id":"c30970b6-2e87-4b53-bdbd-e62c82a2704d","resolution":{"observed_at":"2026-08-05T10:36:48.248661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.798399Z","title":"Blockchain phishing scam detection via multi-channel graph classification,","venue":null,"work_id":"346ae942-4000-468e-bd08-094283767ebe","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.493831Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:342a06ff8c8a3654fa7ec45cd52c58f1c9e7494624104e4a8a0b048defc05833","observation_id":"490766ca-0680-40cd-9857-719fb71d2fed","resolution":{"observed_at":"2026-08-05T10:36:47.875171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.592867Z","title":"Tsgn: Transaction subgraph networks assisting phishing detection in ethereum,","venue":null,"work_id":"81c6e934-5bd3-4e16-80bc-c1f76f7f74e1","year":2025},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.603262Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:c54e8e55037c51b857ba34f256fccf238e5f9981d4b99aa389b1a5ad3bbb44ba","observation_id":"5c640b2a-8960-4816-a22a-9850c9f085ee","resolution":{"observed_at":"2026-08-05T10:36:47.680402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.386571Z","title":"Grabphisher: Phishing scams detection in ethereum via temporally evolving gnns,","venue":null,"work_id":"4a82648e-2a50-499a-869c-3307b4746ca0","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.759797Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:184d06c6bd6453273c07c8554ac05776a2b0c820e0171bb0f3462ed3e8238b9b","observation_id":"d0277b65-b566-46d0-8ba8-bfc6f0333870","resolution":{"observed_at":"2026-08-05T10:36:47.479705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.174352Z","title":"Bert4eth: A pre- trained transformer for ethereum fraud detection,","venue":null,"work_id":"515dd483-9f36-41bf-9fa8-6a9a51da6c22","year":2023},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.851846Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:b1aa8ab93ced823720d8511466d56568040e026b32d0304b12d9cc860a7be80d","observation_id":"bea42d69-aebe-4589-87d0-2c80169210d9","resolution":{"observed_at":"2026-08-05T10:36:47.264639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:40.987011Z","title":"Zipzap: Efficient training of language models for large-scale fraud detection on blockchain,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:40.987011Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:255e9cf8bf95a052a3243801d7a4d8765433867ce2adbbf279e8f0cfc41b34e6","observation_id":"d42cf7ca-b643-489a-9878-3f7512a7885c","resolution":{"observed_at":"2026-08-05T10:36:40.987011Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.07308","last_updated":"2016-11-21T11:37:17Z","snapshot_observed_at":"2026-08-06T06:17:37.090691Z","submitted_at":"2016-11-21T11:37:17Z","title":"Variational Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.07308","snapshot_observed_at":"2026-08-05T10:36:41.138936Z","title":"Variational graph auto-encoders,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.138936Z"},"links":{"cited_paper":"/paper/1611.07308","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:21abc076f4f9eced39b989389e570a2bbfd4865629adde38c5473e3e893090bb","observation_id":"d548b162-3784-4f41-9bcf-b97d10d878da","resolution":{"observed_at":"2026-08-05T10:36:41.138936Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.003422Z","title":"Co-embedding attributed networks,","venue":null,"work_id":"83203c79-bbad-442a-a022-f1a77f9aa5f8","year":2019},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.288925Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:8c108a8f501c58a0c59cf7876d36ecebd5207e9a224a7239f11ec39f4ce439d8","observation_id":"6c2b2616-e18a-4221-9ccc-603f631479cf","resolution":{"observed_at":"2026-08-05T10:36:47.075129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17500","last_updated":"2024-03-26T08:59:37Z","snapshot_observed_at":"2026-07-06T17:50:54.472429Z","submitted_at":"2024-03-26T08:59:37Z","title":"Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification","version":1},"cited_work":{"arxiv_id":"2403.17500","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.17500","snapshot_observed_at":"2026-08-05T10:36:44.320444Z","title":"Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification","venue":"cs.LG","work_id":"04c8b1a0-440b-4f14-977f-ddf2dd5d8cf6","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.434907Z"},"links":{"cited_paper":"/paper/2403.17500","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:9488c56ba259d834be53b5b3f652c4ff7cd79415d3104148dbca990e3689394e","observation_id":"dd27fb5e-f917-40ef-9013-fd4d47f98c84","resolution":{"observed_at":"2026-08-05T10:36:44.376769Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.879293Z","title":"Graphmae: Self-supervised masked graph autoencoders,","venue":null,"work_id":"12525212-403c-467d-83c9-a2eb202a26b4","year":2022},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.553567Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:e5c984276524be247be4da337fda6e19672190c84beed8237b127cbbfef32dff","observation_id":"20c896ad-fbd9-4a6f-af2c-2f9280719906","resolution":{"observed_at":"2026-08-05T10:36:46.937773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.10241","last_updated":"2026-05-27T11:51:27Z","snapshot_observed_at":"2026-07-06T19:32:51.287674Z","submitted_at":"2024-10-14T07:59:30Z","title":"Revisiting Graph Autoencoders as Implicit Contrastive Learners","version":2},"cited_work":{"arxiv_id":"2410.10241","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.10241","snapshot_observed_at":"2026-08-05T10:36:44.153633Z","title":"Revisiting Graph Autoencoders as Implicit Contrastive Learners","venue":"cs.LG","work_id":"8889d1ed-8a97-4df1-8d84-2034fb02a4d7","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.623285Z"},"links":{"cited_paper":"/paper/2410.10241","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:806e8775028ce0dec0969c8f3d1f9daf9bbe8fd7da3d9d305137373cb694fd5d","observation_id":"f3da8322-82e6-4385-8230-896f5f244d9d","resolution":{"observed_at":"2026-08-05T10:36:44.233621Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.732197Z","title":"S2gae: Self-supervised graph autoencoders are generalizable learners with graph masking,","venue":null,"work_id":"f94a431f-0257-4f89-92a6-da8b33f0667e","year":2023},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.685802Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:2541537917b51f403399c5ae94519885ea3d51bca1497fa24cc034091ca686b9","observation_id":"ac283d13-0f54-4ee6-aced-8fe2f7d27ddf","resolution":{"observed_at":"2026-08-05T10:36:46.809877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.578881Z","title":"Layer-neighbor sampling—defusing neighborhood explosion in gnns,","venue":null,"work_id":"66a4e589-4a87-4992-ab02-03d8613654c1","year":2023},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.793457Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:dd7d40e44ca8d97d472a7990d3fa24f96e63eb1a25e8751758d142cd0bbf5546","observation_id":"8e0d0675-2e11-4014-a6fe-5f386f9ac8a6","resolution":{"observed_at":"2026-08-05T10:36:46.654654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.409318Z","title":"Attention bottlenecks for multimodal fusion,","venue":null,"work_id":"c0f9ae68-49fe-4d8c-b8e8-8253bc8a8433","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.832670Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:073887d9d5e13753519de1366207a6f5232b93a9aa3ef870d916b1a9337736f0","observation_id":"a52e54b6-3a4a-4487-a414-76b7eb7a70f1","resolution":{"observed_at":"2026-08-05T10:36:46.492953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.192104Z","title":"Unveiling the power of audio-visual early fusion transformers with dense interactions through masked modeling,","venue":null,"work_id":"2734e2f2-569b-485d-9c42-8334b56cec8c","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.920565Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:0fff28efc5b6e46bbdb3e6bb30810ca571ec0ef0b1921b32d8b46e9bc2617374","observation_id":"669ffcd2-ba58-4206-936b-ffd2ffe5ac60","resolution":{"observed_at":"2026-08-05T10:36:46.283662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03762","last_updated":"2023-08-02T00:41:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-06-12T17:57:34Z","title":"Attention Is All You Need","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03762","snapshot_observed_at":"2026-08-05T10:36:41.988141Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:41.988141Z"},"links":{"cited_paper":"/paper/1706.03762","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:2487e2d6e14f0cf06043cb19518b127e1cef07bfdcd073dac35b2be707d9cc98","observation_id":"2355d80b-f5c2-4666-995d-e0015344b012","resolution":{"observed_at":"2026-08-05T10:36:41.988141Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:46.005339Z","title":"Xblock-eth: Extracting and exploring blockchain data from ethereum,","venue":null,"work_id":"99c1db03-f1bd-4e1f-b009-ba998e2b2e8f","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.053675Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:8658be71d23d070159cad2b6de8094b3bddc9e3057b711e672e7f0d82f9ee904","observation_id":"60404097-e45f-48b0-8b3e-5695c53ac246","resolution":{"observed_at":"2026-08-05T10:36:46.100435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.850933Z","title":"XBLOCK Blockchain Datasets: InPlusLab ethereum phishing detection datasets,","venue":null,"work_id":"fe62c1ed-a3c1-43a4-ae60-660e13356b12","year":2019},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.177608Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:a90ad8999ad829207aa83b18ed841b62c71dd9b8add32cf23ebf88c540a1825f","observation_id":"01e56e76-7500-4205-9b2b-b9d864c1630c","resolution":{"observed_at":"2026-08-05T10:36:45.910675Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07494","last_updated":"2025-02-18T12:26:02Z","snapshot_observed_at":"2026-07-06T19:13:55.363649Z","submitted_at":"2024-09-09T07:13:44Z","title":"Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning","version":2},"cited_work":{"arxiv_id":"2409.07494","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.07494","snapshot_observed_at":"2026-08-05T10:36:43.953488Z","title":"Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning","venue":"cs.CR","work_id":"39bc0115-26ac-4dfe-9977-2a5d47ca55cb","year":2024},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.227678Z"},"links":{"cited_paper":"/paper/2409.07494","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:1d0591719802444148286df23070ca5859df407751226620a4450491483dce60","observation_id":"c33c9111-389b-4bfd-a6b3-f07f80fbb3f0","resolution":{"observed_at":"2026-08-05T10:36:44.032248Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.708186Z","title":"role2vec: Role-based network embeddings,","venue":null,"work_id":"7c26d589-a34d-4733-9d7b-7cdd3404c792","year":2019},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.347703Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:473a9eee08e2c77bf91f33bfc6a871ef30bb8961a62f08d06003e10d47626d73","observation_id":"4d95305d-13e0-4feb-b9dd-0f29d795127a","resolution":{"observed_at":"2026-08-05T10:36:45.772765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:42.447072Z","title":"Exploring the limits of transfer learning with a unified text-to-text transformer,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.447072Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:88682f3e2fa4df2644073ab49cb37934155f6feab7740a07500177d58d3fbcf0","observation_id":"8216e21e-f10d-4c3e-8b1a-1d4eafa3c08f","resolution":{"observed_at":"2026-08-05T10:36:42.447072Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.05150","last_updated":"2020-12-02T17:52:35Z","snapshot_observed_at":"2026-07-31T17:17:17.205582Z","submitted_at":"2020-04-10T17:54:09Z","title":"Longformer: The Long-Document Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.05150","snapshot_observed_at":"2026-08-05T10:36:42.548800Z","title":"Longformer: The long- document transformer,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.548800Z"},"links":{"cited_paper":"/paper/2004.05150","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:fb54245258ecacf2cc98fbeb12fb1c448170f54c4f860392ca561bba32eab15b","observation_id":"c5e9b8a9-2dff-43a0-8339-b6c4123f7304","resolution":{"observed_at":"2026-08-05T10:36:42.548800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-07-06T05:10:16.862707Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-05T10:36:42.654102Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.654102Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:874c006a18953ca94d8d92ecb65fbf74dbe710db2a14a708e8bcc11231c542dd","observation_id":"3688b53d-76ae-49c6-858f-e459a6518441","resolution":{"observed_at":"2026-08-05T10:36:42.654102Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.532633Z","title":"Inductive representation learning on large graphs,","venue":null,"work_id":"16cf98d4-9af0-449c-9a62-e3b2e5fd7425","year":2017},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.736316Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:7b47cca5c84394720aca3ede4c0089bbed84dc954b5a50741398d84b9fc49c3d","observation_id":"0e3396d8-fe26-4edd-8492-0e8afb9bab17","resolution":{"observed_at":"2026-08-05T10:36:45.623557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.406257Z","title":"Grand: Graph neural diffusion,","venue":null,"work_id":"f66b5a5d-8a97-4a2f-a8bd-72f917ee44d9","year":2021},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.810091Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:54e4ccb6441d521534f287e475c07f0bac909c6e12fbfd167e172425615d1e78","observation_id":"d48bb95e-a183-4712-b567-76a23b47b851","resolution":{"observed_at":"2026-08-05T10:36:45.474482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.232160Z","title":"Graph random neural networks for semi-supervised learning on graphs,","venue":null,"work_id":"ebe22153-b2b2-459b-a7d3-59da5d4218b5","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.928418Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:484ffefaa177c191a7db2bea9d051776793ee2de47bb0f03575c7ba9caae236c","observation_id":"f75762df-a836-4ddf-88dd-c6c79eaae33c","resolution":{"observed_at":"2026-08-05T10:36:45.323148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:45.031412Z","title":"Hierarchical graph representation learning with differentiable pooling,","venue":null,"work_id":"60cc3044-5ca1-4e99-9c28-8da27e248805","year":2018},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:42.985697Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:c0957afd1a596a89e637b98a752be42a284d7ef42671645deb3272e718e028c6","observation_id":"808954f1-f954-4020-839d-e57ea0022a33","resolution":{"observed_at":"2026-08-05T10:36:45.136460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11855","last_updated":"2022-03-08T12:19:56Z","snapshot_observed_at":"2026-07-06T08:24:41.779661Z","submitted_at":"2019-09-26T02:39:59Z","title":"Universal Graph Transformer Self-Attention Networks","version":13},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11855","snapshot_observed_at":"2026-08-05T10:36:43.034050Z","title":"Unsupervised Univer- sal Self-Attention Network for Graph Classification,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.034050Z"},"links":{"cited_paper":"/paper/1909.11855","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:7b7a430b6ecb6f002636846655cb14b946020ee7ac341755b31f2b710637f60a","observation_id":"2e2bf7b5-e350-4f04-81a6-134ba79cf70f","resolution":{"observed_at":"2026-08-05T10:36:43.034050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:47.989551Z","title":"Phishing detection on ethereum via learning representation of transaction subgraphs,","venue":null,"work_id":"fd411630-8f4a-4cd1-9aa3-88b07b611923","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.113821Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:220e60c25f147b92aa193d90947edcc63109d601545899c98760cf4ef34d7c1e","observation_id":"93c6dedb-1a18-4451-93b8-b3244ab7853c","resolution":{"observed_at":"2026-08-05T10:36:48.064288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.05005","last_updated":"2017-07-17T05:09:03Z","snapshot_observed_at":"2026-08-01T15:10:58.723106Z","submitted_at":"2017-07-17T05:09:03Z","title":"graph2vec: Learning Distributed Representations of Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.05005","snapshot_observed_at":"2026-08-05T10:36:43.160114Z","title":"graph2vec: Learning distributed representations of graphs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.160114Z"},"links":{"cited_paper":"/paper/1707.05005","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:6823b7ddc377e62b946ffcf25de0bb1b77fad2c715aa0ac3b78963cddb31ff15","observation_id":"a6835ef9-0cda-41c1-be36-c8334012726e","resolution":{"observed_at":"2026-08-05T10:36:43.160114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:44.856305Z","title":"Catalog: Exploiting joint temporal dependencies for enhanced phishing detection on ethereum,","venue":null,"work_id":"5f2c44e7-8019-4288-8935-f11f516c9613","year":2025},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.231345Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:a8b1ff34a406851bee141238b6e2cb251f2664abe34c2f5c509b710694fae03d","observation_id":"260d9244-ad0c-4f3a-a05c-274aa1dfe892","resolution":{"observed_at":"2026-08-05T10:36:44.942702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10715","last_updated":"2019-05-26T02:47:58Z","snapshot_observed_at":"2026-08-02T11:25:35.952871Z","submitted_at":"2019-05-26T02:47:58Z","title":"Graph Attention Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10715","snapshot_observed_at":"2026-08-05T10:36:43.304800Z","title":"Graph attention auto-encoders,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.304800Z"},"links":{"cited_paper":"/paper/1905.10715","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:28975e6963e0eec346bbf11733e354925c1e0defdab5a2b2d62e5530b55a6b7f","observation_id":"76d3bec2-8144-48e3-9a46-914be5465de6","resolution":{"observed_at":"2026-08-05T10:36:43.304800Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-05T10:36:43.406954Z","title":"Roberta: A robustly optimized bert pretraining approach,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.406954Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:5db1a8c6abaedf222eacc6955de56e7e891a80627b63bcb6e4327f8ebcb3e648","observation_id":"0309df83-7d55-4ccc-a60c-a6cc6d9e5b19","resolution":{"observed_at":"2026-08-05T10:36:43.406954Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11942","last_updated":"2020-02-09T03:00:18Z","snapshot_observed_at":"2026-07-06T08:24:44.631342Z","submitted_at":"2019-09-26T07:06:13Z","title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11942","snapshot_observed_at":"2026-08-05T10:36:43.488793Z","title":"Albert: A lite bert for self-supervised learning of language representations,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.488793Z"},"links":{"cited_paper":"/paper/1909.11942","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:c2ca8fc20dd1493f0f3aa80ce2c5dd5a8f560b38931d9fdfb64b4bf108bf4345","observation_id":"05be983b-4613-4bd3-af9d-e6e9adc4b4d7","resolution":{"observed_at":"2026-08-05T10:36:43.488793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.10555","last_updated":"2020-03-23T21:17:42Z","snapshot_observed_at":"2026-08-06T14:37:14.514749Z","submitted_at":"2020-03-23T21:17:42Z","title":"ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.10555","snapshot_observed_at":"2026-08-05T10:36:43.593739Z","title":"Electra: Pre-training text encoders as discriminators rather than generators,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.593739Z"},"links":{"cited_paper":"/paper/2003.10555","citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:4c99441c109d15b2bcb709c04603224a61b29903656b040c9be3852710db3df8","observation_id":"49c7f98d-f3f2-419e-b8c6-75392a59d0f0","resolution":{"observed_at":"2026-08-05T10:36:43.593739Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:44.716875Z","title":"Vgcn-bert: augmenting bert with graph embedding for text classification,","venue":null,"work_id":"731d06e2-7233-43d4-bd47-026b08d44e27","year":2020},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.659414Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:2764a0a593c7079a2ba35caaf112d18abbc9b2cd06013e3af6f858b1e360425c","observation_id":"ddce6fd4-7172-4b38-92d0-9728f7233660","resolution":{"observed_at":"2026-08-05T10:36:44.781452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T10:36:44.566300Z","title":"Layer-dependent importance sampling for training deep and large graph convolutional networks,","venue":null,"work_id":"b3f8b3e3-e4c8-46c6-9935-1e932daf613f","year":2019},"citing_paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T10:36:43.731070Z"},"links":{"citing_paper":"/paper/2509.03939"},"observation_digest":"sha256:f4d2b1913761207793062d91afea3ed8d5c45cc991c1add7048a42f69e6367af","observation_id":"cf5ecac5-165f-4954-9f0b-ee7755734795","resolution":{"observed_at":"2026-08-05T10:36:44.650712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.03939","last_updated":"2025-09-04T06:56:32Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-07T03:06:03.195971Z","submitted_at":"2025-09-04T06:56:32Z","title":"LMAE4Eth: Generalizable and Robust Ethereum Fraud Detection by Exploring Transaction Semantics and Masked Graph Embedding"},"reference_resolution":{"displayed":55,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":3,"verified_fuzzy":40},"total_outbound_references":55},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.03939."}