{"as_of":"2026-08-16T22:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c6a006c9652319165a5bf9c42466fcd3cadc30822522b560af9a6ce8213f8674","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:34:02.848458Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.00540/citation-record","integrity":"/paper/2509.00540/integrity","json":"/paper/2509.00540/citation-record.json","paper":"/paper/2509.00540"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T13:34:14.804479Z","title":"Machine learning on big data: Opportunities and challenges,","venue":null,"work_id":"3131f7ba-aaf1-4bef-81c1-4f61cae7fadd","year":2017},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.580337Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:3bab4969574359e58ad6bba3e14f100a957b217c9244ef2bc181c3671050855a","observation_id":"6ce50bcd-8899-4b4d-bccf-97347d024fdd","resolution":{"observed_at":"2026-08-05T13:34:14.863709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:14.619269Z","title":"Personalized federated learning with model-contrastive learning for multi-modal user modeling in human-centric metaverse,","venue":null,"work_id":"63488a13-438e-4242-8eb7-118d9d7fdcaa","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.630221Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:ba1c0456139033b8a490463f98405dfdae91e8260346b06d1490549a6fd2bb12","observation_id":"403999e6-26d6-40b0-827d-e4b413c6ba5f","resolution":{"observed_at":"2026-08-05T13:34:14.731881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:14.369963Z","title":"Can: Leveraging clients as navigators for generative replay in federated continual learning,","venue":null,"work_id":"967514ea-6c8e-45ed-ab51-49362600b643","year":null},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.694292Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:5b8c6195ca9cd3a51389a589ddeb120e614fc744838302d4dd8374bc64975fb9","observation_id":"1073f0b3-0353-4cdb-926c-1acff44c8a92","resolution":{"observed_at":"2026-08-05T13:34:14.465877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:14.167078Z","title":"Boosting adversarial transferability via relative feature importance- aware attacks,","venue":null,"work_id":"c5cca15b-79df-451a-883b-790addf56736","year":2025},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.753481Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:2759276bdd41d93b633121310fb44472fa033568b294096ccf65e2a73afefc06","observation_id":"0cb71074-9127-48fc-ba25-59c3cd01808e","resolution":{"observed_at":"2026-08-05T13:34:14.250423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:13.950029Z","title":"Challenges in data collection in real-world environments for activity recognition,","venue":null,"work_id":"c8581b12-50f7-43f0-82a2-9cc00212ec03","year":2019},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.826695Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:447e102b2ec86cbe4b40fe3d4634908444628c756b6e57a4ac51c5153ad85244","observation_id":"41748549-b353-4d46-8696-fff4c43c7211","resolution":{"observed_at":"2026-08-05T13:34:14.061275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:13.746023Z","title":"Text- based person search without parallel image-text data,","venue":null,"work_id":"2c297ea4-87b5-4184-9a18-d920d2f7bcfe","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.879631Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:eef3adc9fcc39ab91e2ce57bc91c46a62d435aa5ead90d8ea0aa7a396372552e","observation_id":"e42cc424-1e36-4010-8d3f-0779ad50bcda","resolution":{"observed_at":"2026-08-05T13:34:13.847044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:13.576470Z","title":"Trustworthy and fair federated learning via reputation-based consensus and adaptive incentives,","venue":null,"work_id":"bd84baa1-60ed-46b8-9ee0-a25c886f08ed","year":2025},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:55.943397Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:0eebb0025cad3a6562a66edf912da74d450ee9f3298f2c09c4edaed47a9f5de1","observation_id":"b2b00d99-0cbe-4ee3-918c-29a835227dad","resolution":{"observed_at":"2026-08-05T13:34:13.647737Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:13.434819Z","title":"Communication-efficient federated learning via knowledge distillation,","venue":null,"work_id":"d1914a84-3ff7-4d70-ad73-64d3540ae3af","year":2032},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.015920Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:f75d4e18f8624c59435dda523af0f42f894c8cd45ebdb542b2aad9da6443caf3","observation_id":"6dc10798-f0f3-4e27-ba13-1a466b6bffa6","resolution":{"observed_at":"2026-08-05T13:34:13.508530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:13.182735Z","title":"Medical internet of things and big data in healthcare,","venue":null,"work_id":"61493bd3-54e9-4082-9b8a-249db5da7249","year":2016},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.120925Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:67fbf59d6ad4292febef66a205e93cd3007f939fb9123f3d2d3c011e85b4379a","observation_id":"2429acd3-c5eb-4492-b965-bab03bfdf10c","resolution":{"observed_at":"2026-08-05T13:34:13.296470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:12.958238Z","title":"The impact of gdpr on global technology development,","venue":null,"work_id":"e21d8b03-f08f-4f1b-993d-c6dc65697f79","year":2019},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.205774Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:92402deec02b22e93af0ebac159b29a79d35388d1bfcfe5b3ae9a1e434d5f754","observation_id":"403fef99-7c96-475b-bfbe-88f3309b1c51","resolution":{"observed_at":"2026-08-05T13:34:13.036658Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:12.817102Z","title":"Beyond the hipaa privacy rule: enhancing privacy, improving health through research,","venue":null,"work_id":"0a9fff25-5133-4537-8a89-e2bbf7d30745","year":2009},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.312193Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:53227330d9f1ed58a8c4bb0c473f2e00141cda52be02de58c9f1aab38c350ac3","observation_id":"e0e300e0-4f14-4d28-beb8-e44522458070","resolution":{"observed_at":"2026-08-05T13:34:12.891027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:12.597829Z","title":"Split-fed learning: A deep dive into methods, innovations and future prospects for data privacy and efficiency in decentralized machine learning,","venue":null,"work_id":"5bd8ea7d-1dbb-44b6-86e6-a2e8505b7190","year":2025},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.492820Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:de825ba6c45ccc0af8f75f42f3ef9bb1a383a25b04636d5f166e2c2b5d734234","observation_id":"2d66732b-f792-4c91-9049-cc7bb010c2b3","resolution":{"observed_at":"2026-08-05T13:34:12.714190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:12.354941Z","title":"The federation strikes back: A survey of federated learning privacy attacks, defenses, applications, and policy landscape,","venue":null,"work_id":"e55b7ab8-a7bf-4c53-b623-243f05603c22","year":null},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.653006Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:116317b76a4323409dd47282de7f98dec7f26c0d5be4c1f2cf2c9d3128f1bfbe","observation_id":"df62c782-6446-4da7-b323-979a5269b4c5","resolution":{"observed_at":"2026-08-05T13:34:12.420915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:12.176930Z","title":"Communication-efficient learning of deep networks from decentralized data,","venue":null,"work_id":"cdd146d8-3e90-4999-ac73-35f61664a1a7","year":2017},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.832706Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:9a573afd900793cce476e2e0ce28dfce259f9e0f2255b3e8b6ca9cf5c7f96e25","observation_id":"3827b24c-24ba-4d08-9949-3af55f6fa5c4","resolution":{"observed_at":"2026-08-05T13:34:12.270220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.971247Z","title":"A survey on federated learning,","venue":null,"work_id":"47e0b49d-0a03-48d6-a1d2-cb195ed4f72e","year":null},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:56.991486Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:51d162dc0ac108df0b76b9bacc934d7a4c49b33b6597460f07b0a66063d9c973","observation_id":"37c8a986-ee97-416e-80b5-8ef59ba4bee7","resolution":{"observed_at":"2026-08-05T13:34:12.082605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.816917Z","title":"Federated learning with long-tailed data via representation unification and classifier rectification,","venue":null,"work_id":"be420de4-c3a9-45d5-a018-66bfb69e6b32","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.126717Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:d6ab3b42d51ace526be1fd526aa1eee754d1fe08dffad790fe598a00e9b51eac","observation_id":"cc112fda-6c75-4776-bf6a-ff5190da836a","resolution":{"observed_at":"2026-08-05T13:34:11.906254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.579884Z","title":"Client selection in federated learning: Principles, challenges, and opportunities,","venue":null,"work_id":"4698a3b1-5406-4148-b505-ce65bc336246","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.266107Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:bf2f4574161942fc0fd92f5558d3eedb57099275e20fba92ebd3f9b6bedb12df","observation_id":"10ae2aee-a6ec-46fa-916e-cd815981d2bc","resolution":{"observed_at":"2026-08-05T13:34:11.700982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.369315Z","title":"Robust federated learning with noisy and het- erogeneous clients,","venue":null,"work_id":"13207c4c-a301-4be2-8621-f2584833e97f","year":2022},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.383089Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:8b45ec8f649508a3697359b1a4b3c6ba128c47d6101b0030c11961d8bbaa579f","observation_id":"7a2a1fbd-a9d6-4ea3-a052-444a8d61fbf3","resolution":{"observed_at":"2026-08-05T13:34:11.453429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.220160Z","title":"A robust privacy-preserving federated learning model against model poisoning attacks,","venue":null,"work_id":"1297f416-db85-469d-bd08-ef3b99245034","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.530368Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:2a01774603918010c0c6cf344386fe42b17e21a55ff7fc9398c930a9b6ef7bc3","observation_id":"7084e3e2-3b0e-461f-83cd-fb8064a50930","resolution":{"observed_at":"2026-08-05T13:34:11.291442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:11.025148Z","title":"Byzantine-robust decentralized federated learning,","venue":null,"work_id":"09ebcff3-4147-431b-9237-35a4324d4cf6","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.673377Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:40fdfa820a7788a80b9ba5b97ef90552d5b875f3a8750cfc4825ae16ea25e718","observation_id":"3a027f19-9ade-441e-92aa-e928cfdaaa2f","resolution":{"observed_at":"2026-08-05T13:34:11.111767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:10.746583Z","title":"A review of federated learning methods in heterogeneous scenarios,","venue":null,"work_id":"8d89686a-6042-4496-ad33-a8d3cf75a1ef","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.760288Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:b9823234fa7715def4694471f3016c787c1bc9b653bda91dbfc02dee750af911","observation_id":"50f358ce-7576-4da9-a11b-d7ae46620d10","resolution":{"observed_at":"2026-08-05T13:34:10.892450Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:10.596288Z","title":"Model aggregation techniques in federated learning: A comprehensive survey,","venue":null,"work_id":"c4d608fe-b419-4b61-94f2-2e826120e33a","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:57.900516Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:399b2f00eb8bd11e05b522adac13c0a2f2ecf574bd7bd9d3eea2a27138480a27","observation_id":"cc9cd57c-5258-4f09-bbfc-783e429c0e90","resolution":{"observed_at":"2026-08-05T13:34:10.665451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:10.451377Z","title":"Heterogeneous feder- ated learning: State-of-the-art and research challenges,","venue":null,"work_id":"9d01f64b-830e-41a3-8fb0-821b201da0f8","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.002123Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:72306a63ea1825e23bc8438db5c01958af75cfb87e1e1bf3b7b911e079752f65","observation_id":"152ce10d-9cdb-4694-abc1-1618705dcb58","resolution":{"observed_at":"2026-08-05T13:34:10.519313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:10.313709Z","title":"Challenges and future directions of secure federated learning: a survey,","venue":null,"work_id":"3956d24a-ec42-4374-9fc9-dbb5c2a8d285","year":2022},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.133610Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:231ef6cc0ecb5b22bf4f6848342ed236c3da2f98370950731c76b0d167ca4917","observation_id":"b0f95a31-06a5-4ecc-92db-06d083919de0","resolution":{"observed_at":"2026-08-05T13:34:10.378067Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:10.020750Z","title":"Learn from others and be yourself in heterogeneous federated learning,","venue":null,"work_id":"e6be3835-dcb1-406a-9094-52a889482dba","year":2022},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.274057Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:f30063354461d06cb33e03beb66a2ca3d28a46ad7d2624db12b465aa17631f4e","observation_id":"ea75afe9-ce81-44a3-b030-739a93b31fad","resolution":{"observed_at":"2026-08-05T13:34:10.144773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:09.851584Z","title":"Provfl: Property inference attacks against vertical federated learning,","venue":null,"work_id":"9373d170-94d2-458e-87bb-7ec759bd6758","year":2025},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.448360Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:84c98bb7a81ba14637dcd7de64e030f01b66fd15ba60b64f996d867107e696f7","observation_id":"958a5c24-56fe-49a3-a11f-2fa5994e7e02","resolution":{"observed_at":"2026-08-05T13:34:09.930576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:09.690143Z","title":"Fedgt: Identification of malicious clients in federated learning with secure aggregation,","venue":null,"work_id":"5935b840-a059-4525-a603-fe19dddb8b31","year":null},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.596226Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:c1aac2a2d496f5b57eb7a4641d9fd2aed2775ca3d68b8d59a52ef351ba9557fa","observation_id":"1a5d32b8-4099-4ab0-9eef-4b55a17c134d","resolution":{"observed_at":"2026-08-05T13:34:09.782702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:09.455674Z","title":"Self-driven entropy aggregation for byzantine-robust heterogeneous federated learning,","venue":null,"work_id":"5b7e0785-7d57-4652-a6ae-c41984d6ab84","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.791912Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:9346d011181cca1b55bf3af058c8a1c8b2a58071a0af8c6fd5f762c039098be3","observation_id":"3faf47ff-589e-443c-b61e-33207a77963e","resolution":{"observed_at":"2026-08-05T13:34:09.568536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:09.262833Z","title":"When the curious abandon honesty: Federated learn- ing is not private,","venue":null,"work_id":"9b4f7738-fb89-4739-8490-ad8f94339b70","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:58.957869Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:f187f2b5bea0ac49012ebdf6b8bf7e21c70cd5d2fa8b6d6ede023d2b7cc51d80","observation_id":"71925df9-0fef-4aab-a7d1-74b3d644e311","resolution":{"observed_at":"2026-08-05T13:34:09.353010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.02133","last_updated":"2020-03-04T15:30:10Z","snapshot_observed_at":"2026-08-15T13:53:57.947911Z","submitted_at":"2020-03-04T15:30:10Z","title":"Threats to Federated Learning: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.02133","snapshot_observed_at":"2026-08-05T13:33:59.113383Z","title":"Threats to federated learning: A survey,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.113383Z"},"links":{"cited_paper":"/paper/2003.02133","citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:72907ef18a660ac29eebb067941f4fe051df105598d5b0433ee5122903139fef","observation_id":"9a051423-3789-408f-a292-de738e1c0fcd","resolution":{"observed_at":"2026-08-05T13:33:59.113383Z","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":"2026-08-05T13:34:09.148474Z","title":"Deep model poisoning attack on federated learning,","venue":null,"work_id":"2179b9e2-dac3-4839-a81c-737a5a36c090","year":2021},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.202469Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:562ecf888bb3a59fc3d25e78425f66f9e19956df3337f4019c77c9d244c2df7e","observation_id":"9b2a9eee-dcb1-4d30-8676-7d0ca529e3c7","resolution":{"observed_at":"2026-08-05T13:34:09.155500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:09.038998Z","title":"Manipulating the byzantine: Opti- mizing model poisoning attacks and defenses for federated learning,","venue":null,"work_id":"d8309aef-86f0-487c-a6da-53d986edc17a","year":2021},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.338914Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:3d2d6f8f48b4ad409cecec00a2d7d484b9d7919cedf0fbc38ad5032ea8b7bc80","observation_id":"6c3fba4e-084f-4185-a106-b66e3f4ded09","resolution":{"observed_at":"2026-08-05T13:34:09.136934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:08.735115Z","title":"Local model poisoning attacks to {Byzantine-Robust} federated learning,","venue":null,"work_id":"e132ef4a-1cf3-4dfd-b4f5-45e02e06ef15","year":2020},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.472902Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:8a85523b90082a36bd8d1581a5fa5c5789a812a0181687debb85a6848d52e08f","observation_id":"7cd5c78b-85b4-4a83-b341-67f80679fc6e","resolution":{"observed_at":"2026-08-05T13:34:08.861852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:08.520248Z","title":"Data poisoning attacks against federated learning systems,","venue":null,"work_id":"cd8b3840-f254-4ad9-bfe4-189d94132d6b","year":2020},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.582593Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:dfc7a37ee8a9f655c1256f2bf7d21edff2392a015072c88d5609ab3e13ac6466","observation_id":"a15d1c30-2bb5-4676-ac2c-a2511fb01571","resolution":{"observed_at":"2026-08-05T13:34:08.634864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:08.235937Z","title":"Efficiently achieving privacy preservation and poisoning attack resistance in federated learning,","venue":null,"work_id":"e658e047-9d35-4431-824d-e93114ba77e7","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.767351Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:b64a927e6ef4cd35ba040b27fe61b0f562e9d75f9f63d4ca769ca28e5fd4d79f","observation_id":"36e8d8e8-895b-4367-a94a-c21f996ee65b","resolution":{"observed_at":"2026-08-05T13:34:08.393608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:08.008597Z","title":"Decaf: Data distribution decompose attack against federated learning,","venue":null,"work_id":"10f949d1-c757-4ed4-b433-ed3a3eacca64","year":null},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T13:33:59.922742Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:fbd4ee8e73f9732ee4d21ced1042956ca0a242bd37b909e94cf48bf06eea28ed","observation_id":"70de7abd-fff8-4f64-b037-60382a27d932","resolution":{"observed_at":"2026-08-05T13:34:08.141164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:07.738039Z","title":"Federated learning for credit risk assessment","venue":null,"work_id":"c0f750c4-fb22-4497-87a6-2e0f0bd4c58e","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.079876Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:415f97361218e05c2fc38f625252d34186db8db4b91d62415c1ce16cd3e2ab10","observation_id":"dcf8ec1c-2c19-4ccb-ab06-98ce1159ebf7","resolution":{"observed_at":"2026-08-05T13:34:07.875469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:07.474035Z","title":"A federated learning-enabled predictive analysis to forecast stock market trends,","venue":null,"work_id":"324a817a-e44e-4fc2-9411-1c634a1f09fe","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.209056Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:1aaf2c58cf8cebf82a7f78027ced4717c46afc2c47d514d0ebda28744b44c596","observation_id":"cecc61b3-5c06-4404-aeb0-05111a3ad4ba","resolution":{"observed_at":"2026-08-05T13:34:07.599748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:07.180853Z","title":"A survey on ensemble learning,","venue":null,"work_id":"abf367a3-5261-4093-a593-9606a2fff901","year":2020},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.266771Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:f956b36113fe8e3fa521edd25166ef7ade78b4588660727cae7174d8b9b365e8","observation_id":"9e062fcf-1cb5-4c8c-9319-5047529f7637","resolution":{"observed_at":"2026-08-05T13:34:07.332796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:06.913485Z","title":"Ensemble learning: A survey,","venue":null,"work_id":"5e06efe0-392c-4577-8bcf-f0b2dde1f9ad","year":2018},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.383598Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:cc930753046eaac32808381b575c481e941b33e1ed9cdcdfbff2d1f1ade32045","observation_id":"357b1b46-9a33-4647-bdae-b6886bf41866","resolution":{"observed_at":"2026-08-05T13:34:07.018319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:06.648531Z","title":"Ensemble learning method using stacking with base learner, a comparison,","venue":null,"work_id":"46a31f40-477e-48d3-a760-4e319866e2bf","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.515388Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:109bc6ee631d627cf298cbfc4dd51160f4c39e428c5958ee83ff123b2827c86e","observation_id":"a4d0bffb-6c7f-41d3-a21a-c90975d4de44","resolution":{"observed_at":"2026-08-05T13:34:06.796046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:06.405634Z","title":"Learning with symmetric label noise: The importance of being unhinged,","venue":null,"work_id":"bf96de54-5771-4acd-a090-c6a79040a1b6","year":2015},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.644925Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:73d91ee4960e895b6def225c469f14eeb25172dd75b06a24e3686cf7aefa0617","observation_id":"cf4f2f33-eb74-4596-9be1-3da329424223","resolution":{"observed_at":"2026-08-05T13:34:06.512377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:06.174868Z","title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels,","venue":null,"work_id":"2e377c5c-8d72-4077-b36c-2342f51c087a","year":2018},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.778412Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:819efa55cff9ce6e2b363ff73cf625fb46e7f24711a00c144407dbe8c0a97e75","observation_id":"57c10bfc-8a6a-4567-a304-7b11d20f5b5d","resolution":{"observed_at":"2026-08-05T13:34:06.293996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:06.023508Z","title":"Badsampler: Harnessing the power of catastrophic forgetting to poison byzantine-robust federated learning,","venue":null,"work_id":"a30e2231-ac74-4a9c-98a8-2cc71ff2d2ac","year":2024},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:00.879326Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:ba3813ae479bb5a6e8bc79658ab7dae84ff68eb63d3325f4669629c2f28ac310","observation_id":"6536a03a-a7f3-4b9d-98f3-9854a3e180fa","resolution":{"observed_at":"2026-08-05T13:34:06.077968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.07963","last_updated":"2019-12-02T19:00:11Z","snapshot_observed_at":"2026-08-09T08:16:29.597021Z","submitted_at":"2019-11-18T21:25:03Z","title":"Can You Really Backdoor Federated Learning?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.07963","snapshot_observed_at":"2026-08-05T13:34:01.075906Z","title":"Can you really backdoor federated learning?","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.075906Z"},"links":{"cited_paper":"/paper/1911.07963","citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:5869afb62bdde1340075b6364aa3b9f8a4ffcd4a82cc50482258fa4411cc421d","observation_id":"df7ebe0a-3027-4ff1-a75f-3519fe24f645","resolution":{"observed_at":"2026-08-05T13:34:01.075906Z","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":"2026-08-05T13:34:05.773590Z","title":"Backdoor defense via deconfounded representation learning,","venue":null,"work_id":"650790ad-303e-4fd4-b00a-96b62e2522d1","year":2023},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.233607Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:7140be6dee1e56ec31f382f2668dbf478d356aac85bd324221505c18ad2b5ca4","observation_id":"4d66c35f-dd5b-497d-bdc6-4365802b5e97","resolution":{"observed_at":"2026-08-05T13:34:05.893942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:05.608318Z","title":"How to backdoor federated learning,","venue":null,"work_id":"d63cd2a6-3d1f-440a-bad1-50339dfd03cf","year":2020},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.300615Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:ef26e3cb31dafc561c29351cea8ba1c44ede224995f4b2bb266995654c9ce63f","observation_id":"8a84e775-e8b3-4e9f-a915-0692b5a3a9f8","resolution":{"observed_at":"2026-08-05T13:34:05.713641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:05.347644Z","title":"Dba: Distributed backdoor attacks against federated learning,","venue":null,"work_id":"f7640bf0-152a-4a1f-a2a6-e09eaf3f1b05","year":2019},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.402405Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:12f258691617b52c6efc015dfca0f5085f59862677eb0ef837b69a2b7ce37f62","observation_id":"79fd88e0-6d41-44ad-af0a-7a04b4ae2884","resolution":{"observed_at":"2026-08-05T13:34:05.474945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:05.043076Z","title":"A little is enough: Circumvent- ing defenses for distributed learning,","venue":null,"work_id":"690e1080-7d69-438d-9a12-80b70a336086","year":2019},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.526920Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:6ef9b898810afa6e462dff4beeec110453fcbc5b55d556d3bd8b6747759e8142","observation_id":"c5eea956-d099-4e0f-aefa-f619e9f06b70","resolution":{"observed_at":"2026-08-05T13:34:05.212931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:04.869185Z","title":"Fedghost: Data-free model poisoning enhancement in federated learning,","venue":null,"work_id":"79bb7775-9ca6-40ef-b48e-5142cf9c2e30","year":2025},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.604927Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:372b60d91263a483b3b6286160f9fba3e7f869403cfb95cfcfadf4defaafec1e","observation_id":"263f79b8-ca8b-4819-be4b-d95e72058691","resolution":{"observed_at":"2026-08-05T13:34:04.964227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:04.583228Z","title":"Ma- chine learning with adversaries: Byzantine tolerant gradient descent,","venue":null,"work_id":"27309153-e0e5-4a83-8f57-f0e89624ecac","year":2017},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.696321Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:187b2838a83d50e1bd11b5d1505f7a7a5878dae1f3a801697e8ad2d4a5506606","observation_id":"ab8da47a-6053-4eca-a9a0-5d0a140485b5","resolution":{"observed_at":"2026-08-05T13:34:04.694160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04866","last_updated":"2020-07-15T15:35:17Z","snapshot_observed_at":"2026-08-14T18:41:08.317797Z","submitted_at":"2018-08-14T19:20:35Z","title":"Mitigating Sybils in Federated Learning Poisoning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.04866","snapshot_observed_at":"2026-08-05T13:34:01.757364Z","title":"Mitigating sybils in federated learning poisoning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.757364Z"},"links":{"cited_paper":"/paper/1808.04866","citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:fc3eb64622f5cf7477de66beee8d93d08b808016a14fbfc29e78d30f5bf7b321","observation_id":"978d045d-144e-4e86-b04d-24cac16b8953","resolution":{"observed_at":"2026-08-05T13:34:01.757364Z","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":"2026-08-05T13:34:04.326440Z","title":"Byzantine-robust dis- tributed learning: Towards optimal statistical rates,","venue":null,"work_id":"4940c693-6b2c-4707-b1ff-3ad3ed70110a","year":2018},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:01.942571Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:ae8c31154ef5917df3f1dc9ec8e88ca3efe2661d883243e87b203648097b31d1","observation_id":"fd53c904-a875-483d-a0a0-431da7d85303","resolution":{"observed_at":"2026-08-05T13:34:04.487349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:04.074319Z","title":"The hidden vulnerability of distributed learning in byzantium,","venue":null,"work_id":"1aec04b9-f17a-4a15-9a98-48004be95269","year":2018},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.132248Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:1f429854a73df2b500cd576ba2de8275c95292ab0b27fd72b78c186769c5f8b9","observation_id":"1bc01658-2c0c-4706-bb0f-ab4f661bb779","resolution":{"observed_at":"2026-08-05T13:34:04.223559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:03.869414Z","title":"Fltrust: Byzantine-robust federated learning via trust bootstrapping,","venue":null,"work_id":"675b1f7b-12c8-4a85-8a64-5c978d50dc01","year":2021},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.263409Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:85bb76d4e34ec24c19fb6889e40da9ed137f8f050982b8a5f622643ae63b955d","observation_id":"3f90fac3-5c2c-44b8-b295-b9b449cf27df","resolution":{"observed_at":"2026-08-05T13:34:03.923028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:03.624377Z","title":"The mnist database of handwritten digits,","venue":null,"work_id":"20439773-48c8-4af8-b2e5-7148fde836a8","year":1998},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.387380Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:8df27859cae8fe668b836ffdcd86307d523449af9abcaad7e117328363cb5eb2","observation_id":"5443fac4-134c-404e-b378-6109f763a08c","resolution":{"observed_at":"2026-08-05T13:34:03.786706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-05T13:34:03.437124Z","title":"Learning multiple layers of features from tiny images,","venue":null,"work_id":"4f364915-6cd9-4c90-84d3-310d57477eea","year":2009},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.526957Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:8822fced83a70ac027b325b7db1579d73104c982b9c7bb36a47a2c024005058a","observation_id":"67c64a38-4e40-4757-b5d8-9b188d7967ff","resolution":{"observed_at":"2026-08-05T13:34:03.535968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-08-13T15:13:33.081929Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-05T13:34:02.692274Z","title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.692274Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:e7f5643cfadad6ca1d205186f3d8f0eedcd0e343660feda123389977560f9510","observation_id":"292ad6cf-619f-41a7-8d6d-a7ba9c01d335","resolution":{"observed_at":"2026-08-05T13:34:02.692274Z","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":"2026-08-05T13:34:03.056864Z","title":"Federated optimization in heterogeneous networks,","venue":null,"work_id":"c37f6cd7-0a63-4e49-ba2f-2d237a5de942","year":2020},"citing_paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-05T13:34:02.848458Z"},"links":{"citing_paper":"/paper/2509.00540"},"observation_digest":"sha256:a4b62eb08a5d0fbd09ec3625d463d5fa1e6056930fa74c4139d38d1675e919ea","observation_id":"5cc79b20-67b2-41e5-8038-ba86af9ad629","resolution":{"observed_at":"2026-08-05T13:34:03.238526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.00540","last_updated":"2025-08-30T15:42:39Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T11:25:25.853360Z","submitted_at":"2025-08-30T15:42:39Z","title":"FedThief: Harming Others to Benefit Oneself in Self-Centered Federated Learning"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":55},"total_outbound_references":59},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2509.00540."}