{"as_of":"2026-08-09T13:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07aceb329ddfa44f670c58f269eeec7e11fc7073d9bdca9fab919ab9348b41c7","coverage":[{"denominator":140,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:04:40.347384Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"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/2507.06541/citation-record","integrity":"/paper/2507.06541/integrity","json":"/paper/2507.06541/citation-record.json","paper":"/paper/2507.06541"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.080635Z","title":"Public opinion manipulation on social media: Social network analysis of twitter bots during the covid-19 pandemic,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.080635Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c2c1b8611b8c1adfe1fcf9479036eb873d07eec51652b8af4bc238438f54ed2f","observation_id":"c1ad553b-19a8-4b29-abc4-a52994a31194","resolution":{"observed_at":"2026-08-06T19:04:40.080635Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.083790Z","title":"Fake Followers in Influencer Marketing Will Cost Brands 1.3b$ This Year, Report Says,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.083790Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:e7f13d7068c27fab266715e285a02c58f81135a6f43e865f3bd9de3c16f3f64d","observation_id":"ea97f29b-4e8d-4027-aa98-745a7cb3a45f","resolution":{"observed_at":"2026-08-06T19:04:40.083790Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.086882Z","title":"Assembling a multi-platform ensemble social bot detector with applications to us 2020 elections,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.086882Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:5b1a7b3fc8447ad414892de79a0c33869519e5c54895e368b0bdf9c4ff2a4a55","observation_id":"78cbbeef-19a1-482d-91e3-d2d22d449407","resolution":{"observed_at":"2026-08-06T19:04:40.086882Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.090223Z","title":"Competing state and grassroots opposition influence in the 2021 hong kong election,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.090223Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:38a468bae77ea5ce1245186fff6fcec92d891e6ed51561a2bd9c99b8a9e2be9a","observation_id":"f6b95d3f-a2bd-42c6-8e9b-ae0aabca6cfa","resolution":{"observed_at":"2026-08-06T19:04:40.090223Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.092848Z","title":"Active, aggressive, but to little avail: Characterizing bot activity during the 2020 singaporean elections,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.092848Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:3aa3208407af01cb2e62c746a067b03763834008b86498f64063cbe46937a996","observation_id":"fa752143-558b-4c34-88e3-eb26a39039d8","resolution":{"observed_at":"2026-08-06T19:04:40.092848Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.095511Z","title":"Computational analysis of bot activity in the asia-pacific: a comparative study of four national elections,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.095511Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9cadc8732c9329828680f63f24c7bc9b9552b70ed7a58f92ddf62ec3703bff2e","observation_id":"d881967f-94ee-4fb6-a3ad-9cf0e4c38022","resolution":{"observed_at":"2026-08-06T19:04:40.095511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.00086","last_updated":"2017-07-01T02:37:13Z","snapshot_observed_at":"2026-07-06T05:49:19.425378Z","submitted_at":"2017-07-01T02:37:13Z","title":"Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election","version":1},"cited_work":{"arxiv_id":"1707.00086","doi":null,"metadata_source":"pith","pith_arxiv_id":"1707.00086","snapshot_observed_at":"2026-08-06T19:04:40.605889Z","title":"Disinformation and Social Bot Operations in the Run Up to the 2017 French Presidential Election","venue":"cs.SI","work_id":"dc4cf7cb-500a-42b9-bbf4-2f58e6647571","year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.098366Z"},"links":{"cited_paper":"/paper/1707.00086","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:bb95aabe36200637b294b7e6f9298d1f499fe83d7b9dfc59f4f00f21e9d8b86f","observation_id":"3a532d19-82fc-4a5f-880c-58a63675afbf","resolution":{"observed_at":"2026-08-06T19:04:40.609547Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.101178Z","title":"An exploratory analysis of covid bot vs human disinformation dissemination stemming from the disinformation dozen on telegram,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.101178Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b6c1e12f3cf79ae3e70decf3ebb3c29555248e1a30cdfc327076289126b10f24","observation_id":"095d20d4-311d-45c0-b063-54db34557b55","resolution":{"observed_at":"2026-08-06T19:04:40.101178Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09531","last_updated":"2020-06-02T16:12:53Z","snapshot_observed_at":"2026-07-06T09:13:49.452689Z","submitted_at":"2020-04-20T18:00:04Z","title":"What Types of COVID-19 Conspiracies are Populated by Twitter Bots?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09531","snapshot_observed_at":"2026-08-06T19:04:40.103396Z","title":"What types of covid-19 conspiracies are populated by twitter bots?","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.103396Z"},"links":{"cited_paper":"/paper/2004.09531","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:f0e0cd727fb8d6a162c1e830b9f03d6819d94d5e4913ec512495baf84dbd9217","observation_id":"d801deba-af1c-4c0d-86fd-4735e0d299da","resolution":{"observed_at":"2026-08-06T19:04:40.103396Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.105956Z","title":"More Than 9,000 Scam Facebook Pages Deleted After Australians Lose 43.4m $ to Celebrity Deepfakes,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.105956Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:3308a856fc20229fd062e47ab19a9efdf7224d8f3816c32f8c50ae9b821fa4fd","observation_id":"f0de1087-4a5d-424f-97fb-78a967682751","resolution":{"observed_at":"2026-08-06T19:04:40.105956Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.108399Z","title":"Be Aware of Fake Social Media Accounts: More Than 1 Billion Were Ousted in 2021,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.108399Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:d4eca054c3cf6d17e0bb4aecbb175f62d6d7dd2453b974487953738373ee35cd","observation_id":"a27622bd-5c12-4b74-9832-15bc56e43e45","resolution":{"observed_at":"2026-08-06T19:04:40.108399Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.110767Z","title":"Sybilscar: Sybil detection in online social networks via local rule based propagation,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.110767Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:3b6814e789b50cbc739dc0abcb41c05c90cc15d55bf23351fd18f78383479a90","observation_id":"30085228-20c5-48b2-b5c6-7d353e1bf867","resolution":{"observed_at":"2026-08-06T19:04:40.110767Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.113104Z","title":"Multimodal detection of bots on x (twitter) using transformers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.113104Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:8aa0fde1f4778362c54e2596abd30fc85fdba26250fcd03479f602ac3b9197af","observation_id":"64b762ea-706c-4588-8efa-e675bae38856","resolution":{"observed_at":"2026-08-06T19:04:40.113104Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.115506Z","title":"Rosgas: Adaptive social bot detection with reinforced self-supervised gnn architecture search,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.115506Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:18bde80a9fe657c3a5b70276a7c00f2d80193e9a6e0f87e0d4529bb0923f6a72","observation_id":"056a2af5-dffb-4dbf-8452-7fcad27a5046","resolution":{"observed_at":"2026-08-06T19:04:40.115506Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.118026Z","title":"Dynamicity-aware social bot detection with dynamic graph transformers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.118026Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:08c87b4a4660c8b8cb1cd430077c2ea111b2e8baef56445544cc0c6a06e15d5f","observation_id":"be53a806-ceb1-4cc5-80a0-1c004fb4ecdf","resolution":{"observed_at":"2026-08-06T19:04:40.118026Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.120592Z","title":"My brother helps me: Node injection based adversarial attack on social bot detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.120592Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:e4eaa3b4958f286dbe792ce5118167a3cf16dd6f4ea2a748f30adbcb75175fd6","observation_id":"91b11865-5589-4b0a-9894-523d219cdcc1","resolution":{"observed_at":"2026-08-06T19:04:40.120592Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.122931Z","title":"On using node indices and their correlations for fake account detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.122931Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:6ce3ec5f11e47e677cdfab43d594c57210dbcd770b962b0e83cfd440e9e07472","observation_id":"45b1ad3c-2f24-4e8c-ae05-7c29dd2001d4","resolution":{"observed_at":"2026-08-06T19:04:40.122931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02985","last_updated":"2018-03-27T22:42:22Z","snapshot_observed_at":"2026-08-04T15:35:46.491238Z","submitted_at":"2015-03-10T16:47:37Z","title":"SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection","version":2},"cited_work":{"arxiv_id":"1503.02985","doi":null,"metadata_source":"pith","pith_arxiv_id":"1503.02985","snapshot_observed_at":"2026-08-06T19:04:40.589994Z","title":"SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection","venue":"cs.SI","work_id":"c08a1709-186f-47dc-bf01-481173165974","year":2015},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.125703Z"},"links":{"cited_paper":"/paper/1503.02985","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:51b08758dd877de598e00bcdc3197443c2fb9255401c9d4a825ed21eb1f68ea8","observation_id":"c98adfcf-17b1-42c1-9794-3f489a6ae844","resolution":{"observed_at":"2026-08-06T19:04:40.592883Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.128396Z","title":"Integro: Leveraging victim prediction for robust fake account detection in osns","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.128396Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:ce603fbce95d0ea640835b5b1124a710e7355b2faff9f2cd4ecf18b258184223","observation_id":"d5ee0e71-16d8-4102-bc34-fac30901c1ab","resolution":{"observed_at":"2026-08-06T19:04:40.128396Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.130657Z","title":"Unveiling fake accounts at the time of registration: an unsupervised approach,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.130657Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:75a46270ab816fd491c1392ed98fc92a64b848c427cdcfb1c09f1f450ad68e36","observation_id":"4f99c7c6-51ab-449c-92e5-5e3879f75ad1","resolution":{"observed_at":"2026-08-06T19:04:40.130657Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.133098Z","title":"Friend or faux: Graph-based early detection of fake accounts on social networks,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.133098Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:bf16362d88a84f599f71152bb5d99aa08908ed60a16fa269b96b3e3d4c0e497f","observation_id":"766758b3-bc2e-42d2-a26a-4004acd82911","resolution":{"observed_at":"2026-08-06T19:04:40.133098Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.135442Z","title":"Gufad: a graph-based unsupervised fraud account detection framework,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.135442Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:cd9a944d338066828e50ee4b0dee66551aa943ac58d32246ffd78f2403fde56a","observation_id":"f029db3f-17ac-441c-80c9-7d192652d9c5","resolution":{"observed_at":"2026-08-06T19:04:40.135442Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.138307Z","title":"Detecting clusters of fake accounts in online social networks,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.138307Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:dd9f6fc135e42b9b58996791135f6fc48f942c48d1fbce4aa1b229bd4b3fae17","observation_id":"345252b3-320b-479e-b4d2-92a18a1850c5","resolution":{"observed_at":"2026-08-06T19:04:40.138307Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.140820Z","title":"Early detection and prevention of malicious user behavior on twitter using deep learning techniques,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.140820Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:65dbbd5be463e016673b03cdf8c93d72b3a0b1f6a1a6892ebab448367816d6bc","observation_id":"d3c11bf4-ba54-4288-b5d1-1e50beae68d7","resolution":{"observed_at":"2026-08-06T19:04:40.140820Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.143471Z","title":"Botcl: a social bot detection model based on graph contrastive learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.143471Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b17c3ee3888892851edf4f8edf45dba366e47011f811b7629c3bae2e1aca5871","observation_id":"5dbca065-c5fc-4faa-99d5-39d65bcd14a3","resolution":{"observed_at":"2026-08-06T19:04:40.143471Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.146027Z","title":"An enhanced graph-based semi-supervised learning algorithm to detect fake users on twitter,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.146027Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c352ac3a2b361cf0ad6fd81fbb204c337bccf0bca01a55c18ee7a1b2237e9722","observation_id":"f0491423-fb23-4cfb-97af-33e8e754a770","resolution":{"observed_at":"2026-08-06T19:04:40.146027Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.148320Z","title":"Unsupervised social bot detection via structural information theory,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.148320Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:55b9cb580ecca7d85cb7372a39e5885ae75c1ac69c105b5ffd3197ff776fc25c","observation_id":"4b753ced-3b16-49b4-a250-96d77da25d31","resolution":{"observed_at":"2026-08-06T19:04:40.148320Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.151058Z","title":"Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.151058Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b60549ed6d907c6626b6104492b1dc6c1d60191ca3b3c8845d1e0ebe838c5da6","observation_id":"209c09e4-9175-457b-846d-0e0799093843","resolution":{"observed_at":"2026-08-06T19:04:40.151058Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08631","last_updated":"2024-09-13T08:35:28Z","snapshot_observed_at":"2026-07-06T19:14:51.508819Z","submitted_at":"2024-09-13T08:35:28Z","title":"Sybil Detection using Graph Neural Networks","version":1},"cited_work":{"arxiv_id":"2409.08631","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.08631","snapshot_observed_at":"2026-08-06T19:04:40.579590Z","title":"Sybil Detection using Graph Neural Networks","venue":"cs.SI","work_id":"f1019802-33b5-4103-908b-1a1cff79162c","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.153423Z"},"links":{"cited_paper":"/paper/2409.08631","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:6c2bb8bdc00f5d962f74b8c5395451d27c8413763b6b4bb64449843447282230","observation_id":"6556c7d1-5592-41d7-a53e-400d0fc4cb08","resolution":{"observed_at":"2026-08-06T19:04:40.582433Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.156124Z","title":"Uncovering social network sybils in the wild,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.156124Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c262ecfcf242d9f9acef4978563ec764c6e466a0b9fc398d6a6eb3cdcfa3a2f9","observation_id":"a3b58d54-d358-4e28-b02b-f4d2db26cfa6","resolution":{"observed_at":"2026-08-06T19:04:40.156124Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.158581Z","title":"User behavior-based and graph-based hybrid approach for detection of sybil attack in online social networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.158581Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:22f93204125982fc8a09c2ac8800354275df2bd88f5c508f8c725ef673625f8f","observation_id":"97d9bc19-527e-473f-9919-cb0d46e77172","resolution":{"observed_at":"2026-08-06T19:04:40.158581Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.160976Z","title":"Fakebook: Detecting fake profiles in on-line social networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.160976Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b696597829b6a9273e3be408afcaf22f456b2547667d66715fcdcaba7b9a6f69","observation_id":"d15667e6-3079-46f2-ab6e-0d1970cc08bf","resolution":{"observed_at":"2026-08-06T19:04:40.160976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08148","last_updated":"2024-11-12T19:55:07Z","snapshot_observed_at":"2026-08-05T01:29:43.073435Z","submitted_at":"2024-11-12T19:55:07Z","title":"Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08148","snapshot_observed_at":"2026-08-06T19:04:40.163230Z","title":"Adaptive meta-learning for robust deepfake detection: a multi-agent framework to data drift and model generalization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.163230Z"},"links":{"cited_paper":"/paper/2411.08148","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:f1ab593fa4aee7cb7e75921bbf2987b682e065a736a94a2be55385d5799a2a50","observation_id":"0a489483-fe03-4cf8-892e-20d09bf6a2ae","resolution":{"observed_at":"2026-08-06T19:04:40.163230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17251","last_updated":"2025-07-29T08:58:38Z","snapshot_observed_at":"2026-07-06T15:10:01.106455Z","submitted_at":"2023-03-30T09:29:53Z","title":"Demystifying Misconceptions in Social Bots Research","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17251","snapshot_observed_at":"2026-08-06T19:04:40.166925Z","title":"Demystifying misconceptions in social bots research,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.166925Z"},"links":{"cited_paper":"/paper/2303.17251","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:4a3eb91f69aa8c623de64604432962bf24a3c21c54bc10bee96b79e48597abd6","observation_id":"24dfd353-6857-496c-978b-f7d591a15a42","resolution":{"observed_at":"2026-08-06T19:04:40.166925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02627","last_updated":"2024-07-04T00:30:41Z","snapshot_observed_at":"2026-07-06T17:11:55.112404Z","submitted_at":"2024-01-05T04:10:46Z","title":"Characteristics and prevalence of fake social media profiles with AI-generated faces","version":2},"cited_work":{"arxiv_id":"2401.02627","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.02627","snapshot_observed_at":"2026-08-06T19:04:40.557766Z","title":"Characteristics and prevalence of fake social media profiles with AI-generated faces","venue":"cs.CY","work_id":"fe52b68d-8c9d-4c38-847b-4fbe7cbf00c3","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.169804Z"},"links":{"cited_paper":"/paper/2401.02627","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:dd410ef383257895db557d14d95efa84289d1881dab15544744d2be429521134","observation_id":"799e6fda-bbf7-4fa4-8179-0ff2a70f6c07","resolution":{"observed_at":"2026-08-06T19:04:40.560886Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.172351Z","title":"Analysis survey on deepfake detection and recognition with convolutional neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.172351Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:96f84a10fc587cb1deba501beadf6eb2df2582cc392b57e626395fd4f1ca4d0b","observation_id":"896a8294-2d46-4362-a145-1115efbbf5a2","resolution":{"observed_at":"2026-08-06T19:04:40.172351Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.175282Z","title":"Mgtab: A multi-relational graph-based twitter account detection benchmark,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.175282Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:80966682700b4869516b5c63c19867b1caff85f9c08d7d9fbfe7cbf035abfe65","observation_id":"b8c539ab-b016-4c59-a640-02ae44a1e62c","resolution":{"observed_at":"2026-08-06T19:04:40.175282Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.177673Z","title":"Detect me if you can: Spam bot detection using inductive representation learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.177673Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:57b596dc667cc330452c14ca023dbb3e77178634d45c80a7e7011c67a4488d86","observation_id":"c4f71e51-29d0-45ab-a04b-d7b41e86d333","resolution":{"observed_at":"2026-08-06T19:04:40.177673Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.180004Z","title":"Satar: a self-supervised approach to twitter account representation learning and its application in bot detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.180004Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7035c33b475d6be2680efecf00da13bd2803f14bd2e40497fbbb016366ec72bd","observation_id":"0f744533-d820-4f94-907f-a7ba3ae35728","resolution":{"observed_at":"2026-08-06T19:04:40.180004Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.182234Z","title":"Bot2vec: a general approach of intra-community oriented represen- tation learning for bot detection in different types of social networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.182234Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:32b6b7c727666a03643fa17cee9772e9bbc688abc20d956554311329e8df01a7","observation_id":"c449156e-d119-4d08-b318-41609e893c3f","resolution":{"observed_at":"2026-08-06T19:04:40.182234Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04131","last_updated":"2020-07-13T16:32:20Z","snapshot_observed_at":"2026-08-09T07:13:23.894027Z","submitted_at":"2020-06-07T11:50:45Z","title":"Deep Graph Contrastive Representation Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.04131","snapshot_observed_at":"2026-08-06T19:04:40.184562Z","title":"Deep graph contrastive representation learning,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.184562Z"},"links":{"cited_paper":"/paper/2006.04131","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:d6b73dfbc54a8f169ef6fef83b1254a69fb669b4d11cf25d13dc1964f90e270b","observation_id":"2d747b74-f47f-498c-9fe9-6272cfdde94f","resolution":{"observed_at":"2026-08-06T19:04:40.184562Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.187227Z","title":"A survey on graph representation learning methods,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.187227Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:baf3c39f2ba4a7f22c909e0af28980d39a3a6c703234cbab239cb2ba5f456cbd","observation_id":"13c08c84-d401-41d7-8994-75e5e63c28dd","resolution":{"observed_at":"2026-08-06T19:04:40.187227Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.189615Z","title":"Botscl: Heterophily-aware social bot detection with supervised contrastive learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.189615Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7b6ed037b64c045fe34d7db6a83f7ce99c145b20b72d167e305c4dbb01515a1c","observation_id":"60112cc7-4ae7-4491-b950-e5bc71c6dc0b","resolution":{"observed_at":"2026-08-06T19:04:40.189615Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.192062Z","title":"Random walk based fake account detection in online social networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.192062Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:2a33b29cafa0d4b422df491804586f3729b7f0a78bf41de9a7fafc1fdca32a4c","observation_id":"7cf366aa-14e5-419c-9aff-f3cb18f5eb4a","resolution":{"observed_at":"2026-08-06T19:04:40.192062Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.195593Z","title":"Sybilbelief: a semi-supervised learning approach for structure-based sybil detection,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.195593Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9e858339087b357fd4fdc0114bee9447065d8d67f45e9a0070a1aa971781d6d1","observation_id":"b5a196ce-8056-4443-8b9d-ab9806849552","resolution":{"observed_at":"2026-08-06T19:04:40.195593Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.198029Z","title":"Sybilguard: Defending against sybil attacks via social networks,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.198029Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:72784884d51e3513ca6b6b6d4c7bee6642185369888302b1851fea0a1a3f5cf3","observation_id":"f27a1980-60bc-4092-9131-a34809c3c13c","resolution":{"observed_at":"2026-08-06T19:04:40.198029Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.201292Z","title":"Sybilfuse: Combining local attributes with global structure to perform robust sybil detection,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.201292Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:0d55f94250f36020d1d0d4011fe93b0bee0c6747256fbb86b6bceac8b14f68e2","observation_id":"e7a2c6dc-b71e-49cd-a5e8-54e631d48dfb","resolution":{"observed_at":"2026-08-06T19:04:40.201292Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.203717Z","title":"The pagerank citation ranking: Bringing order to the web","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.203717Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:10be5599e36033835a379746fb6f9fa493c29e034b2c12a3eb061e5364e22ede","observation_id":"e3384928-e8e9-4fec-be30-25b4fb21fda2","resolution":{"observed_at":"2026-08-06T19:04:40.203717Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.207053Z","title":"Aiding the detection of fake accounts in large scale social online services,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.207053Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9170ff4b09911b32fa64da8f58f8f5294bc959996eee05e70df2eec8af4d3a75","observation_id":"a800d428-34e0-478d-84f5-faf5d04b0f15","resolution":{"observed_at":"2026-08-06T19:04:40.207053Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.209999Z","title":"Sybillimit: a near-optimal social network defense against sybil attacks,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.209999Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:103b0628a73cbbfc1c90dcc6d39616fe4075add36f4997b333d37e032c0ee75b","observation_id":"65bad95a-ce98-4ffe-8873-6f1538fcaff9","resolution":{"observed_at":"2026-08-06T19:04:40.209999Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.212550Z","title":"Sybilinfer: Detecting sybil nodes using social networks","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.212550Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:37417be137731b48b005dffe46150d8abafb48c1e409ee9c3f2556a988b1f09f","observation_id":"e81b0e2f-3d99-4a75-bf12-93b9ee014a1b","resolution":{"observed_at":"2026-08-06T19:04:40.212550Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.215935Z","title":"Sybildefender: Defend against sybil attacks in large social networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.215935Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c8f4a914893c2c21b750894c0cf6cc523828bfb3d04d17581112d910508b52b3","observation_id":"2accf24a-44f4-4852-8c53-781e04b5d594","resolution":{"observed_at":"2026-08-06T19:04:40.215935Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.218285Z","title":"Sok: the evolution of sybil defense via social networks,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.218285Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:1528905343ae8efeb02a2cfac937d0198d63a42be4111d54ea207d49bbb5b841","observation_id":"4b26bb40-eb58-44af-8555-b6147737a424","resolution":{"observed_at":"2026-08-06T19:04:40.218285Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.220624Z","title":"Similcatch: Enhanced social spammers detection on twitter using markov random fields,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.220624Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:fd7f6bc4e7ed4e2b43365d8c07705dfa844bb27e07c682541db4666c268b57ee","observation_id":"dd725e81-ce39-41c0-a658-9a09ee35c1fb","resolution":{"observed_at":"2026-08-06T19:04:40.220624Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.223868Z","title":"Sybilhp: Sybil detection in directed social networks with adaptive homophily prediction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.223868Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:6d65bb326a64526f2700f01a11f1cac414e765348ad5a42709e71cc8546dc233","observation_id":"2f7c847d-783f-4a64-87f0-895c4ef0ceea","resolution":{"observed_at":"2026-08-06T19:04:40.223868Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.226079Z","title":"The strong link graph for enhancing sybil defenses,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.226079Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:1e7e2b23a5821ec4dd29381bd889de01586d0e194d7f4ec58160792084f951c3","observation_id":"26fd0c6d-1d49-4335-a6cd-89bf569508f6","resolution":{"observed_at":"2026-08-06T19:04:40.226079Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.228488Z","title":"Sybilhunter: Hybrid graph-based sybil detection by aggregating user behaviors,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.228488Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:6789c4a4a3a8eed576beeb3e1e50bdb155f070220a22473168b5e3e08326e5b3","observation_id":"2df4226d-ee3c-4f6a-ad9b-b38ff149b4ee","resolution":{"observed_at":"2026-08-06T19:04:40.228488Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.230915Z","title":"Enhancing sybil detection via social-activity networks: a random walk approach,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.230915Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:14eb0b8c01986a843fd3225621e797405a35689c8c1a1f1ff11c5b17c789d5c8","observation_id":"c3ad5d68-7505-4762-befd-6b54f9b4fd2f","resolution":{"observed_at":"2026-08-06T19:04:40.230915Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.233419Z","title":"More efficient sybil detection mechanisms leveraging resistance of users to attack requests,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.233419Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b2525f6d5978ee743b5f3fc4a8316e81469ff70cea87d24d4b75eafe11aa89d8","observation_id":"2c8bcefd-cec5-4946-af06-92fecd2f3487","resolution":{"observed_at":"2026-08-06T19:04:40.233419Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.235755Z","title":"Preemptive detection of fake accounts on social networks via multi-class preferential attachment classifiers,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.235755Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:92060246838d8f6b7dd6dd101edb02067cc4b5d16c93981ef7f8cb2c9e71e034","observation_id":"c2c8b3ff-cde8-4677-b193-79e3b430620f","resolution":{"observed_at":"2026-08-06T19:04:40.235755Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.239075Z","title":"Ricc: Robust collective classification of sybil accounts,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.239075Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:e71f7daf54eae24462d4b8a85332b9ae6731d76372bde6268e14e96492409ca1","observation_id":"c5a1896c-a94a-43c2-b055-c1d5139e3402","resolution":{"observed_at":"2026-08-06T19:04:40.239075Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.241584Z","title":"Sybilblind: Detecting fake users in online social networks without manual labels,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.241584Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:fc947f9ba6cdaf315d04f88b4f9be840a07b6a5acd848a7be02819f27c379c76","observation_id":"48b5ac7a-61a1-49c2-bb86-f8234e897b96","resolution":{"observed_at":"2026-08-06T19:04:40.241584Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.243925Z","title":"Sybil detection as graph filtering,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.243925Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7ff2e9c4b3cfb33d4d9d6e45cbb0ec084aa25235583377b378086d356040c4f3","observation_id":"b7162406-63d9-4d6c-aaf4-1d8df5492d9f","resolution":{"observed_at":"2026-08-06T19:04:40.243925Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.246825Z","title":"Interpreting graph-based sybil detection methods as low-pass filtering,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.246825Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b467e1406a1c351d71cb3fdf3d2a0444ced67ba882ca715822eacaef2161c12d","observation_id":"dc374116-98c1-4a3a-a0dd-938b80704cdc","resolution":{"observed_at":"2026-08-06T19:04:40.246825Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.249960Z","title":"Tsd: Detecting sybil accounts in twitter,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.249960Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b4cf1accfac0e8e183f39778ed9716c454f12c242f7003bb0d0b29b5f7e947b2","observation_id":"cb98db59-8e36-4efc-b160-eca9e108bf49","resolution":{"observed_at":"2026-08-06T19:04:40.249960Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.253299Z","title":"Twitter fake account detection,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.253299Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:43d11a1bed81e70b57a2b66a5d7c7a5c5c58624631054363ceae648d2019522e","observation_id":"ab29501b-f987-4fe7-96de-fcb38ec02ded","resolution":{"observed_at":"2026-08-06T19:04:40.253299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10214","last_updated":"2023-04-18T16:47:12Z","snapshot_observed_at":"2026-07-06T15:05:05.028097Z","submitted_at":"2023-03-17T19:03:06Z","title":"BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns","version":2},"cited_work":{"arxiv_id":"2303.10214","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.10214","snapshot_observed_at":"2026-08-06T19:04:40.542291Z","title":"BotShape: A Novel Social Bots Detection Approach via Behavioral Patterns","venue":"cs.SI","work_id":"f7a127c8-c0cf-48e2-9beb-4b35d0d01647","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.256056Z"},"links":{"cited_paper":"/paper/2303.10214","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7aaded2fcedbed3b064f91eec3ae8a8b02635a848fdd2c9179b675cb230d65b1","observation_id":"ef56ade4-1501-49f9-ba61-1c1528396852","resolution":{"observed_at":"2026-08-06T19:04:40.545071Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.258801Z","title":"An efficient fake account identi- fication in social media networks: Facebook and instagram using nsga-ii algorithm,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.258801Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:b3d9b919cfc7f04404a2d8e9be416cd814f52e590243851507999a7434788715","observation_id":"5ecdf20c-882f-4da3-9be8-f34da5edc549","resolution":{"observed_at":"2026-08-06T19:04:40.258801Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:04:40.261635Z","title":"Identifying fake accounts on social networks based on graph analysis and classification algorithms,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.261635Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:1d1243f3ffca11ca441181b41aa5e940e009bc583c4ab36234deff25621a814f","observation_id":"f5b61fe8-e5f6-4e61-8caa-8c047de2b1ea","resolution":{"observed_at":"2026-08-06T19:04:40.261635Z","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":"2026-08-06T19:04:41.082796Z","title":"Leveraging node neighborhoods and egograph topology for better bot detection in social graphs,","venue":null,"work_id":"b9aa71a0-e152-4aef-9d14-496194c4d6a5","year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.264061Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c5a11029ecde26f7c0111cfcff2709b67e9153b3109c8bff45f6c000209369f1","observation_id":"4f4e2b8b-9f7e-4bdf-a445-19e34a15c432","resolution":{"observed_at":"2026-08-06T19:04:41.085246Z","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":"2026-08-06T19:04:41.076055Z","title":"Detecting fake accounts in online social networks at the time of registrations,","venue":null,"work_id":"241d0294-0b3d-4877-abf2-cedf8387569f","year":2019},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.266628Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:47179c88d06c4abd214d68d8717d5c9510af29899318c999c2e837f0318876b8","observation_id":"2e49db26-7727-4593-a421-110d4209b853","resolution":{"observed_at":"2026-08-06T19:04:41.078629Z","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":"2026-08-06T19:04:40.269152Z","title":"Graph2vec: Learning distributed representations of graphs,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.269152Z"},"links":{"cited_paper":"/paper/1707.05005","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:df906dc003820a6d9bc76f09058bee3444b5f310fc51c6562b5300079439669c","observation_id":"4c45da6a-a117-4ebd-aa10-fc6ab3486591","resolution":{"observed_at":"2026-08-06T19:04:40.269152Z","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":"2026-08-06T19:04:41.069666Z","title":"Adversarial socialbots modeling based on structural information principles,","venue":null,"work_id":"8ff07e89-b92b-4ca7-a761-4f3cfb132bb0","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.272576Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:4b17ed8a83ea4c7dd7a910aa1b8ae4410d0ac44697a952daf68937bec322956b","observation_id":"7bde24f3-5b54-4ceb-90b2-fd90e425a0cb","resolution":{"observed_at":"2026-08-06T19:04:41.072099Z","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":"2026-08-06T19:04:41.056476Z","title":"Bot detection on social networks using persistent homology,","venue":null,"work_id":"4e020a59-d2c6-4abc-b679-9d55aeaf7fed","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.275093Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:a723eb71c0d91bcfcde7a58913cb27511934d105ac10bcf8a48a94485fed645a","observation_id":"30d72dab-427d-4ab3-acad-1e4668eb25e1","resolution":{"observed_at":"2026-08-06T19:04:41.059262Z","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":"2026-08-06T19:04:41.048312Z","title":"Botfinder: a novel framework for social bots detection in online social networks based on graph embedding and community detection,","venue":null,"work_id":"8207183f-bf80-4e1d-a30b-1091b3b7957b","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.277724Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:89cb989c8816db4abcb45eb3564a6ba411a13ced8b3f6f0e2f6b17e6f4e9c61a","observation_id":"bb29b974-6af1-4869-b499-e3d463f32df6","resolution":{"observed_at":"2026-08-06T19:04:41.051147Z","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":"2026-08-06T19:04:41.040790Z","title":"Node2vec: Scalable feature learning for networks,","venue":null,"work_id":"c9f0ab65-a5cf-41ec-b6db-e9241020afb9","year":2016},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.280242Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9ce331fab536ff91667b57811d2b0966bf734062950bdc4fd238599d9cfc2da1","observation_id":"300bbd34-e283-4005-8928-3e25e3ff20de","resolution":{"observed_at":"2026-08-06T19:04:41.044167Z","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":"2026-08-06T19:04:41.032816Z","title":"An efficient victim prediction for sybil detection in online social network,","venue":null,"work_id":"9deb25f7-6e1c-4b3e-a70a-f082865ae896","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.282693Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:101ba111f3815fd16133c68a1dbb4ca5bdbc1277bc21d1898690d0ef61f3f9aa","observation_id":"9c7e77fb-f1ad-4cd3-9adf-a275fd92f4cc","resolution":{"observed_at":"2026-08-06T19:04:41.036500Z","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":"2026-08-06T19:04:41.025704Z","title":"Fake account detection with attention-based graph convolution networks,","venue":null,"work_id":"08fd71be-167b-40ee-a19c-ef9c77772a39","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.285610Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:41cfbf7becf66d8f9d47ae80d118e0afce094b2df569289e04a9bf69b9fb92a0","observation_id":"e7451be7-a32d-4194-ad0b-4ec0b8be0178","resolution":{"observed_at":"2026-08-06T19:04:41.028417Z","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":"2026-08-06T19:04:41.018855Z","title":"Graph neural networks based framework to analyze social media platforms for malicious user detection,","venue":null,"work_id":"001d07bb-1593-4b45-bfe6-8bbb76439068","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.289116Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:5f651b9242c714c5db816f64377fc91418e53a916f5e2e14a576b09e0358fd96","observation_id":"1b67aab8-22d6-401c-86fa-65559a01fc37","resolution":{"observed_at":"2026-08-06T19:04:41.021702Z","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":"2026-08-06T19:04:41.011247Z","title":"Over-sampling strategy in feature space for graphs based class-imbalanced bot detection,","venue":null,"work_id":"0a7e3cbf-7071-4f80-b39b-592eb75bf364","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.291650Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c7f51a13e03e6a078d302bfa6d6b357b6efafc6f568bcf5c0a465a3306918cb1","observation_id":"ff957422-f22d-4d3b-a724-fe646d0e5939","resolution":{"observed_at":"2026-08-06T19:04:41.014190Z","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":"2026-08-06T19:04:41.003721Z","title":"Social botnet community detection: a novel approach based on behavioral similarity in twitter network using deep learning,","venue":null,"work_id":"d8c5c501-86fe-4469-84e2-2ef4aebe519a","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.294099Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:82a156e070425cfeea8e203ccb6bbefa2414dfffe71857f9cfb63ae2ec8b5720","observation_id":"37c774dc-8daa-4032-9ac3-f69e862cb578","resolution":{"observed_at":"2026-08-06T19:04:41.006770Z","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":"2026-08-06T19:04:40.996255Z","title":"Trustgcn: Enabling graph convolutional network for robust sybil detection in osns,","venue":null,"work_id":"f1a020d5-5188-4774-851c-37234d67aa3d","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.297280Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:ffe597fbe25d9c072a9f7e6c42f65e4690111dac838aeb61f7cf239d7b92e6e7","observation_id":"1d3d6ca4-b5ac-48cf-9829-d47149fba4aa","resolution":{"observed_at":"2026-08-06T19:04:40.999188Z","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":"2304.08239","last_updated":"2023-04-14T00:57:44Z","snapshot_observed_at":"2026-07-06T15:16:31.335505Z","submitted_at":"2023-04-14T00:57:44Z","title":"RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection","version":1},"cited_work":{"arxiv_id":"2304.08239","doi":null,"metadata_source":"pith","pith_arxiv_id":"2304.08239","snapshot_observed_at":"2026-08-06T19:04:40.525045Z","title":"RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection","venue":"cs.LG","work_id":"b962009c-812d-49e1-9a43-b1d6018c9e5a","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.300451Z"},"links":{"cited_paper":"/paper/2304.08239","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7c096765efa26bb1a410fe77a434249db31ec0d53681af0cfe8783cc64f99ab5","observation_id":"8c877448-4b2c-4ebf-9c13-0073706adff1","resolution":{"observed_at":"2026-08-06T19:04:40.529309Z","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":"2026-08-06T19:04:40.989394Z","title":"Uncovering malicious accounts in online social networks using xgboost and graph convolution networks,","venue":null,"work_id":"c74c9415-2be2-4a2a-8130-e18062f55d7a","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.303847Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:7d9e0578d2175f17d8281bd5b1d44d27496509a28d6ec16c015c08439d6640d1","observation_id":"c2bd4b83-446e-4ad5-87a4-5b60f0260c8d","resolution":{"observed_at":"2026-08-06T19:04:40.992023Z","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":"2026-08-06T19:04:40.982028Z","title":"Sstackgnn: Graph data augmentation simplified stacking graph neural network for twitter bot detection,","venue":null,"work_id":"061d2f28-a45f-4f8a-af1e-ec8f18742ec5","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.306293Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:18f803a9a976e3fe4c3ff521997e1618bdb730fd6e4cc849f23300f8d88fac7c","observation_id":"3dd9d1e1-b56d-4bf0-a572-aca9dc65e31d","resolution":{"observed_at":"2026-08-06T19:04:40.984963Z","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":"2026-08-06T19:04:40.975122Z","title":"Markov-driven graph convolutional networks for social spammer detection,","venue":null,"work_id":"3d2ffac9-1937-4b1d-af31-0829b7d9f860","year":2022},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.308757Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:173103db64d7e9e5e957120a12fe150a6393b846feec3cf65b4fbb7b2b9b786c","observation_id":"41fce31c-e1b5-45c5-91cb-c9ee8ceaa6bf","resolution":{"observed_at":"2026-08-06T19:04:40.977975Z","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":"2026-08-06T19:04:40.966762Z","title":"Multi-modal social bot detection: Learning homophilic and heterophilic connections adaptively,","venue":null,"work_id":"2b3faf4f-9798-4bac-bdd5-1581723d354d","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.311682Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:6fde90ddafe84a02588922573802c4a3b7483381c08957cdbdee274bc1fd4527","observation_id":"67f855be-014f-4768-8dab-a47f6b039152","resolution":{"observed_at":"2026-08-06T19:04:40.969817Z","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":"2026-08-06T19:04:40.958789Z","title":"Cgnn: a compatibility-aware graph neural network for social media bot detection,","venue":null,"work_id":"8c6163a2-7f93-4621-bad3-ff8de1c002ff","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.314781Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:aa3d1ffe64219cdbf9ef3e2a98bea106ca9c6abf0c0a14cfa5c4569063396ea1","observation_id":"53db1b6f-6d5b-44b1-9c70-30f26b9a5aab","resolution":{"observed_at":"2026-08-06T19:04:40.962540Z","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":"2026-08-06T19:04:40.949899Z","title":"Dispelling the fake: Social bot detection based on edge confidence evaluation,","venue":null,"work_id":"9432e0b7-6619-44b8-948b-25a120f025db","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.317248Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:21461ee2fc2c45cad47afc7714cad5af0cbd9bf9f64ddfce4c736c5a83acdb73","observation_id":"d2e4bdd4-2ace-418b-b2e3-830be353af2c","resolution":{"observed_at":"2026-08-06T19:04:40.953591Z","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":"2026-08-06T19:04:40.942926Z","title":"Semi-supervised social bot detection with initial residual relation attention networks,","venue":null,"work_id":"b1e3dfb8-5e7c-4b0a-929f-07a4450b3462","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.319754Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:301b52dbab3321e39a404862f17706116c5a70343b6d7d048dbbd19109d0a62c","observation_id":"e394272e-7268-47b7-ac4b-5f256b270eae","resolution":{"observed_at":"2026-08-06T19:04:40.945904Z","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":"2306.12870","last_updated":"2023-06-22T13:32:39Z","snapshot_observed_at":"2026-08-09T12:40:24.115518Z","submitted_at":"2023-06-22T13:32:39Z","title":"HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention","version":1},"cited_work":{"arxiv_id":"2306.12870","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.12870","snapshot_observed_at":"2026-08-06T19:04:40.514000Z","title":"HOFA: Twitter Bot Detection with Homophily-Oriented Augmentation and Frequency Adaptive Attention","venue":"cs.SI","work_id":"3c651e11-42c3-490e-8ca3-34b5f1ba4682","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.322724Z"},"links":{"cited_paper":"/paper/2306.12870","citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9015742a2c726dc33d13f51a102b17957ec67f260c43b8fc73e16e4a12bf4a95","observation_id":"8fbf57d9-0749-45b9-8179-b2d7dff4b4ad","resolution":{"observed_at":"2026-08-06T19:04:40.517195Z","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":"2026-08-06T19:04:40.936181Z","title":"Bot prediction on social networks of twitter in altmetrics using deep graph convolutional networks,","venue":null,"work_id":"f0c373a9-b419-4f45-bdd0-4bd208c9729f","year":2020},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.325773Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:9e0819934cd05944bad6019e050600d964f1fd649f14c6ebd0ad83b8ccbab3d4","observation_id":"25673421-b4d4-4329-a769-9aaa4f476aff","resolution":{"observed_at":"2026-08-06T19:04:40.938901Z","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":"2026-08-06T19:04:40.928557Z","title":"Accou2vec: a social bot detection model based on community walk,","venue":null,"work_id":"432f14ae-6cac-4ffe-8b8a-92553f8f9b9a","year":2023},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.328284Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:622e87b9199eae9225b5ca39769f620453da1ed88e11229dc07c37e7d6ee5ffd","observation_id":"3c4b23ef-39cb-4624-b342-0c58386d23a0","resolution":{"observed_at":"2026-08-06T19:04:40.931261Z","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":"2026-08-06T19:04:40.919805Z","title":"Segcn: a subgraph encoding based graph convolutional network model for social bot detection,","venue":null,"work_id":"4e61a756-0364-4f4a-9181-b6dfc94bcc04","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.331614Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:f3905af3bd22d76528599b8532a6b6a960311034c6ae034be2e01aa3921c8707","observation_id":"8a60d18f-ee71-4f5f-b7c8-20837eda0319","resolution":{"observed_at":"2026-08-06T19:04:40.923588Z","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":"2026-08-06T19:04:40.912266Z","title":"Bsg4bot: Efficient bot detection based on biased heterogeneous subgraphs,","venue":null,"work_id":"6533b410-8786-4f24-b19f-9b18920b42ea","year":2025},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.333922Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:f742fcea4074a0c643b8b19b8a1a57eb6b1b6141c4590ba6618e1c16beb230a2","observation_id":"86a92b62-df47-4d66-9a45-24ab06b241da","resolution":{"observed_at":"2026-08-06T19:04:40.915166Z","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":"2026-08-06T19:04:40.905430Z","title":"Modeling relational data with graph convolutional networks,","venue":null,"work_id":"fd0ff452-5ee2-41c3-903a-1a490ec0125e","year":2018},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.336448Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:59e4a7aef875a797db9f7a0386bb47ef6e5bd64fb863a93da81b34028543b5aa","observation_id":"4f15b1d2-7362-4afa-97bb-8c8b8158ee55","resolution":{"observed_at":"2026-08-06T19:04:40.908167Z","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":"2026-08-06T19:04:40.897971Z","title":"Botrgcn: Twitter bot detection with relational graph convolutional networks,","venue":null,"work_id":"50434792-1c97-4792-bc4a-eb1f4fcd7a81","year":2021},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.338950Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:be8f28b5bdf2447a690cfd454f6dcc75412e3f3320a7abff761a5fa4b41dcc92","observation_id":"25d9aac8-e08b-454a-9b07-d84ced7435a1","resolution":{"observed_at":"2026-08-06T19:04:40.901206Z","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":"2026-08-06T19:04:40.890755Z","title":"Integrating higher-order relations for enhanced twitter bot detection,","venue":null,"work_id":"bdd3fa96-3c84-4269-9df8-72a41ba2f927","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.341507Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:a8c785bd0cd751dc2351828fb7bcdf4f340107b99a72bc85c3fde83f2a2424e7","observation_id":"2174cd80-f125-4086-827c-89680faa718d","resolution":{"observed_at":"2026-08-06T19:04:40.893670Z","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":"2026-08-06T19:04:40.883248Z","title":"A graph neural architecture search approach for identifying bots in social media,","venue":null,"work_id":"981ee662-4f5f-4bc8-95a2-d7a5469054ef","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.344039Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:be2f44564fbd7e3c47b8ed3b49608c825a3e08bc686435c8dc3f28ee6092e855","observation_id":"e60f04ef-d4be-4bf7-870c-6282dc022db1","resolution":{"observed_at":"2026-08-06T19:04:40.886553Z","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":"2026-08-06T19:04:40.875465Z","title":"Botrga: Neighborhood-aware twitter bot detection with relational graph aggregation,","venue":null,"work_id":"3081a0fc-81ca-4c83-a065-f0158833adc2","year":2024},"citing_paper":{"arxiv_id":"2507.06541","last_updated":"2025-07-09T04:52:15Z","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-06T19:04:40.347384Z"},"links":{"citing_paper":"/paper/2507.06541"},"observation_digest":"sha256:c9876bc7bfd0dfef9196a80b5b4583a21cb4d9f2bd61223571f92dc8c461b189","observation_id":"6b46fa52-163e-4b25-a268-a65254fa02ec","resolution":{"observed_at":"2026-08-06T19:04:40.878960Z","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":"2507.06541","last_updated":"2025-07-09T04:52:15Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-09T07:13:52.723172Z","submitted_at":"2025-07-09T04:52:15Z","title":"Graph-based Fake Account Detection: A Survey"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":65,"verified_exact":7,"verified_fuzzy":28},"total_outbound_references":140},"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 100 of 140 outbound references and 0 inbound Pith citation observations for arXiv:2507.06541."}