{"as_of":"2026-08-20T04:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85e19464c9fab6e721f351a1b765481667378ee40b734f2447d3111e956a4309","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:00:30.155235Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2506.15264/citation-record","integrity":"/paper/2506.15264/integrity","json":"/paper/2506.15264/citation-record.json","paper":"/paper/2506.15264"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.29012/jpc.v4i2.623","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:00:30.208036Z","title":"Journal of Privacy and Confidentiality , 4, 03 2013","venue":null,"work_id":"412982c4-1db3-4f86-b624-bd30411ad6a5","year":2013},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.892826Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:820d6631cec15e429d2a65816b847658d25d8b673011e8ef57c0ac2aab6a4a01","observation_id":"e778777b-271d-4fb8-be17-b8a9e19bac1e","resolution":{"observed_at":"2026-08-15T20:00:30.213613Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.207951Z","title":"Abbas, M","venue":null,"work_id":"91f9c65e-3ccd-4454-b450-bb20ef7eb5be","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.898318Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:78d45e65085c26099ff7fc0c7e4ce95c0161a686116cd2bf6e9426ad6071ff29","observation_id":"25eefc9c-506a-48a6-b63d-8c7fead4515f","resolution":{"observed_at":"2026-08-15T20:00:31.212446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.193672Z","title":"Alistarh, Z","venue":null,"work_id":"2841b41d-53d6-4b3a-92a6-b1172e005a19","year":2018},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.902979Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:e29214d69357a30f40d7812bae4cbd086625dddc05c7896fd603ff7e38bdb5b5","observation_id":"ff9da3e8-e445-4d03-9a56-1982df047304","resolution":{"observed_at":"2026-08-15T20:00:31.198356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.179266Z","title":"Bar-Noy and D","venue":null,"work_id":"b768e7f7-50e5-4a48-8c69-50a1d25a91cb","year":1988},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.907618Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:411cbb546db9b53c70ac76656bb88c38a08b3a6b4afd8dc2c560b9e293e430f3","observation_id":"0178fa78-885d-45eb-9148-887cde6436ba","resolution":{"observed_at":"2026-08-15T20:00:31.183992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.164514Z","title":"Bernstein, J","venue":null,"work_id":"78fff31e-d70e-45b7-b1d6-52f6cd94924a","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.913041Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b6be760fb2239b0ac8bf7cb8967234559f83387fda21da0a24a11ab288407631","observation_id":"fa6c80aa-c883-4f59-bd96-bade8c8cec5c","resolution":{"observed_at":"2026-08-15T20:00:31.169222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.150687Z","title":"Biggio, B","venue":null,"work_id":"fbc25f85-3a5d-4b4f-a70d-d5b42db27a53","year":2012},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.917972Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:a10146c910f26cb394cf4ffcdb3d30a17af95dd9ff2fe90a903f7d8a9bb931c5","observation_id":"34e74831-8258-47e9-90d7-8e2899a25356","resolution":{"observed_at":"2026-08-15T20:00:31.155204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.136127Z","title":null,"venue":null,"work_id":"84f02c62-dc3c-4d9d-80bc-dac6d18d5efd","year":1987},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.923095Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:ac3c95ceafa18f7960842bc4adae85967a485068827d0fddfbafcd2a79ca27d0","observation_id":"d23dc2ad-ae0b-45ba-bcdb-ebe1bdad261e","resolution":{"observed_at":"2026-08-15T20:00:31.140474Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:29.927517Z","title":"Bracha and S","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.927517Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b632774fd76b8bc589b8ed155c2aa8df0713bec92dfc3821f7a4c20dd143143c","observation_id":"10d628c1-5a19-449f-8022-dc59a9efb827","resolution":{"observed_at":"2026-08-15T20:00:29.927517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12741","last_updated":"2025-09-09T13:12:24Z","snapshot_observed_at":"2026-08-19T15:02:51.183417Z","submitted_at":"2023-06-22T08:46:07Z","title":"Centroid Approximation with Multidimensional Approximate Agreement Protocols","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12741","snapshot_observed_at":"2026-08-15T20:00:29.931921Z","title":"Cambus and D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.931921Z"},"links":{"cited_paper":"/paper/2306.12741","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:30af185622c3d247e683b3954c41b9576e17e644cede667e2cfa816712fc1543","observation_id":"0c09480d-ad51-4b74-a1f6-d5974764b5e7","resolution":{"observed_at":"2026-08-15T20:00:29.931921Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1604.00981","last_updated":"2017-03-21T07:44:39Z","snapshot_observed_at":"2026-08-14T22:03:08.190474Z","submitted_at":"2016-04-04T18:40:05Z","title":"Revisiting Distributed Synchronous SGD","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1604.00981","snapshot_observed_at":"2026-08-15T20:00:29.936654Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.936654Z"},"links":{"cited_paper":"/paper/1604.00981","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:f068ddf775e8a13fa2f094b4eef1c90f5e5995330583082ea822cff7aad886f9","observation_id":"6d98e94f-447c-4515-87de-6416c01e2fda","resolution":{"observed_at":"2026-08-15T20:00:29.936654Z","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":"2026-08-15T20:00:31.121331Z","title":"Civit, S","venue":null,"work_id":"386682cb-e385-4bbd-933b-7a8282936c2f","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.941126Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:839e60cb78bf0685aff324df7a56386366659b484f89606ac2c2eff6647647e6","observation_id":"2f6dd88c-9015-4a68-ab37-031feea88e4a","resolution":{"observed_at":"2026-08-15T20:00:31.126384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.105659Z","title":"Civit, M","venue":null,"work_id":"fc436d1e-a597-4905-b40b-26dc01297b81","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.945447Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:f35f5304576d8d52397a28eee424b06d35d9e55e221906d114e813309703b598","observation_id":"ffc0a0b8-61d3-46f8-9859-9e8cb0f579fc","resolution":{"observed_at":"2026-08-15T20:00:31.110934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.091108Z","title":"Damaskinos, E","venue":null,"work_id":"8406fa32-0375-4e07-af4e-151ac5346bcd","year":2018},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.949889Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:2065e1446bb65f0144f1a42c49c61b2a398c588a5ea57e933d85ea8b20dda37a","observation_id":"0ad7d920-83d9-440b-b22f-0ec8fc688163","resolution":{"observed_at":"2026-08-15T20:00:31.095690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.076229Z","title":"Data and S","venue":null,"work_id":"188d3f7a-2b3b-4ee7-904f-f6d223b0ff04","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.954300Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:166193535f253a212f2e0b53c62bc8091f9e3d46d7a522c2758b5e0c727dca52","observation_id":"9d7ec1da-2192-4652-9067-04d263fc4a07","resolution":{"observed_at":"2026-08-15T20:00:31.080916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.061008Z","title":null,"venue":null,"work_id":"f5dd7153-6498-4916-81d4-b0222d83fbfb","year":2012},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.958384Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:5637c50bea314f92f73ab27c9667c46087f19bd8cc548e44cd48730e5271b683","observation_id":"4530d534-32e2-41a7-92c9-0863a15f5fa9","resolution":{"observed_at":"2026-08-15T20:00:31.066005Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/5925","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T20:00:30.189468Z","title":"Dolev, N","venue":null,"work_id":"f8309d47-2d73-4853-ae56-9cf4eb1ebe70","year":1986},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.962798Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:f64e1c488a0d71a1caf2183305752a7b8a061db58216ea4f49d2623af5cada74","observation_id":"e01885e7-fe30-4735-9040-f13dec5233eb","resolution":{"observed_at":"2026-08-15T20:00:30.196526Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.046453Z","title":null,"venue":null,"work_id":"02706027-30fa-449a-9cd1-7a913a641dee","year":2018},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.967789Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:8e30ddaed82fb0745ff78e4feb7705f4f8877c911af0495de5600c52955bb87b","observation_id":"a15134db-0fb8-499e-ab81-a3b249b379d6","resolution":{"observed_at":"2026-08-15T20:00:31.050915Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.031695Z","title":"El-Mhamdi, R","venue":null,"work_id":"a2e11146-061c-4ff4-a1a0-5be3f177e297","year":2020},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.972237Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b42fe8609d9f78a94e1eb445cf2a2f4f7b9a72a229ad8a95c7de3c4353adb82d","observation_id":"50b849e8-5810-4c71-8f9d-f23d9896e464","resolution":{"observed_at":"2026-08-15T20:00:31.036535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.017605Z","title":null,"venue":null,"work_id":"a4592a4e-68d5-47ed-9e83-9c9fed1c4fdc","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.976673Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b531cf796e8332cd2d2c47ed97ae4366a95af94c3b1158332e8bdb50c150156e","observation_id":"0dfd9f8c-c99d-401e-abbf-ca103d4c3252","resolution":{"observed_at":"2026-08-15T20:00:31.022044Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:31.002434Z","title":null,"venue":null,"work_id":"d6bf773e-a954-4ff5-afee-9e859c1d4f37","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.981382Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:859c25a9da31397bbf10bab7c7ab323d407cf24b084477411ee08048c7a8997e","observation_id":"f8c15c7b-3c75-466f-aefd-ad27c0de32a7","resolution":{"observed_at":"2026-08-15T20:00:31.007538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.987255Z","title":"Farhadkhani, R","venue":null,"work_id":"fb10d051-cb1e-4c33-925e-b7dab3f9b328","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.986518Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:e71f5ed1e484ed2db2d02ea11cb0f9652b780c0ce96f7e73011174d0785d49b0","observation_id":"8b602379-71e3-409a-8bd6-40aa83d5b829","resolution":{"observed_at":"2026-08-15T20:00:30.992200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.972183Z","title":"Farhadkhani, R","venue":null,"work_id":"416089c4-b76b-43cd-a5af-ca878389c3af","year":2024},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.991221Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:aeb1ea51bf43c23a13f8009a9349a5a39961e2abe46e028833d7147bc2addb28","observation_id":"5d91fb5b-5116-45bd-a204-f9c0745ea8c3","resolution":{"observed_at":"2026-08-15T20:00:30.976973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.957618Z","title":null,"venue":null,"work_id":"cf9cf085-dda9-429d-b069-2d4ff7c50ca0","year":1982},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:29.995613Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:8eea34103e46ab2b8c1a787699125addda55c85391ce249459080397763ecc92","observation_id":"0fecff78-ab59-4776-9bd3-56ccba7debab","resolution":{"observed_at":"2026-08-15T20:00:30.962075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.06629","last_updated":"2019-10-09T22:53:13Z","snapshot_observed_at":"2026-08-19T20:26:25.237706Z","submitted_at":"2019-06-16T00:14:53Z","title":"Robust Federated Learning in a Heterogeneous Environment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.06629","snapshot_observed_at":"2026-08-15T20:00:30.000262Z","title":"Ghosh, J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.000262Z"},"links":{"cited_paper":"/paper/1906.06629","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:54cf471e68e5b74a5d49452f04d8ff2c7ae374ccd9374f16134e07c0fb9fa56f","observation_id":"eafba5ee-767e-4676-bc6e-f1cf42b0a782","resolution":{"observed_at":"2026-08-15T20:00:30.000262Z","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":"2026-08-15T20:00:30.942122Z","title":"Jee Cho, J","venue":null,"work_id":"d61a6c84-4749-4184-b6a1-411a764c30d7","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.005285Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:05938bbb297d044d6c1381e210c02c9047290e5d94f4aae1271c73441cba92d6","observation_id":"60ecdfc4-a2a3-4396-8938-d29d6c522d00","resolution":{"observed_at":"2026-08-15T20:00:30.947395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.927527Z","title":"Jhunjhunwala, P","venue":null,"work_id":"d9897ccc-42df-483c-a411-5358d1862249","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.010431Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:98a6ecc6cc0d8b6230859a7d0db9f827953b02d9d1ac2b1631a3adf966da24c4","observation_id":"74f6b15b-78d0-47d7-9e76-73e908e17daf","resolution":{"observed_at":"2026-08-15T20:00:30.932388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.913979Z","title":"Jhunjhunwala, S","venue":null,"work_id":"48cb6d0f-752d-4388-9754-8b4599189759","year":2023},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.015055Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b52d5cacf4b616976cf1ba5089175a0dca407233e5077853c33f3d46e1b7ef5e","observation_id":"d83c02f6-8886-46e5-bb07-9b2d413676b9","resolution":{"observed_at":"2026-08-15T20:00:30.918413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10940","last_updated":"2021-09-27T21:16:21Z","snapshot_observed_at":"2026-08-14T00:11:57.864808Z","submitted_at":"2020-02-25T15:12:15Z","title":"Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10940","snapshot_observed_at":"2026-08-15T20:00:30.019564Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.019564Z"},"links":{"cited_paper":"/paper/2002.10940","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:c32d9409d9bb757a044f354afd9bdb735b409c66136c4bab445ac0281d028a77","observation_id":"2ae7a804-2df4-437d-a84c-c889d1ce153e","resolution":{"observed_at":"2026-08-15T20:00:30.019564Z","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":"2026-08-15T20:00:30.899570Z","title":"Kairouz, H","venue":null,"work_id":"89f78e32-dbb4-49df-b410-f58d24871862","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.025304Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:f3e7c95b7db8c01ab4a27a760f4f9e153b0f3b49cff3122959b7694e7c680814","observation_id":"3ecfb105-9130-44c3-95e3-7cde50587a0d","resolution":{"observed_at":"2026-08-15T20:00:30.904034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.884246Z","title":null,"venue":null,"work_id":"2f8f598d-ad24-4682-badd-34b3c9075407","year":2020},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.029786Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:251bec3df801a72c7bb1db7c602811e9984e588a06a72b7defa670401d0293c1","observation_id":"b9cfaf37-f548-488a-9e59-f5e243794071","resolution":{"observed_at":"2026-08-15T20:00:30.889266Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.869541Z","title":null,"venue":null,"work_id":"56efc60e-9832-402a-b67a-e4c0df22c543","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.034147Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:39b245bf6357c7ea7e78bca48552e14dfac9c02ea2071aa26fb6e0e3bfcc66aa","observation_id":"a15ce69c-3c15-41cc-8eac-2cf6a13091cd","resolution":{"observed_at":"2026-08-15T20:00:30.874178Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.852672Z","title":null,"venue":null,"work_id":"049b92dd-6525-40b2-afa8-7198ba19892a","year":2014},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.038544Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:e3aa47e4ee9bcf9b666866eb1eb744f8a539dc3057875cfb577357b90af845b4","observation_id":"d99feb43-74b6-4fed-9768-805ed34d29af","resolution":{"observed_at":"2026-08-15T20:00:30.857103Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.838385Z","title":null,"venue":null,"work_id":"9df83571-e0c2-4fec-9fde-b963720307a6","year":2014},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.043043Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:7b17396d6f81fc006c59ab7681aae422460911f41ff150e90f2003541a6d5eed","observation_id":"f7d50144-6a95-40e5-b03f-183088c04656","resolution":{"observed_at":"2026-08-15T20:00:30.843222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.823542Z","title":null,"venue":null,"work_id":"ad32f672-8664-470c-a465-dc20d7012388","year":2020},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.047256Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:5963703dda83b04006ea0324a4fd9f6a5b98bd20c8f4fa57a3d27311ef7e313d","observation_id":"646c6cd6-d4c8-472c-a4c7-f39896fd80c5","resolution":{"observed_at":"2026-08-15T20:00:30.828670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.801123Z","title":"Mahloujifar, M","venue":null,"work_id":"a26a0a5c-cf32-46c0-bf4c-fe68c244ab37","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.052441Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:a6fdaad25745a9a39edce6d2ee2c6ee209e434f04979f7e9dc796b089001e63e","observation_id":"1c514ae0-df02-483a-a40f-d4ce73c2b2b1","resolution":{"observed_at":"2026-08-15T20:00:30.812473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.786390Z","title":"McMahan, E","venue":null,"work_id":"4f0a961c-2012-4c96-874a-bcca885187b6","year":2017},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.056958Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:5cb7c545cbf8a47f290c90ca36b50069b441506adb8375f17d9efae75b9b697e","observation_id":"c52b65e6-fe20-49fd-9047-9b110878d6af","resolution":{"observed_at":"2026-08-15T20:00:30.790756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.05629","last_updated":"2023-01-26T22:54:08Z","snapshot_observed_at":"2026-08-17T13:07:20.583520Z","submitted_at":"2016-02-17T23:40:56Z","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.05629","snapshot_observed_at":"2026-08-15T20:00:30.061885Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.061885Z"},"links":{"cited_paper":"/paper/1602.05629","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:c2ceae2350cd3b57e58d1b39b164e6b242ae5022bfba87737d5fdc55510bd3fe","observation_id":"ab59f9a2-0fad-4a22-aae3-5bfd7729f8df","resolution":{"observed_at":"2026-08-15T20:00:30.061885Z","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":"2026-08-15T20:00:30.066999Z","title":"Melnyk and R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.066999Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:3cf731cad9899127df03858d3b76e8e6c8fb453bf5f4dd5f0ab1af4a8881b661","observation_id":"2fffcee8-7fd0-4809-87fc-439b9168e470","resolution":{"observed_at":"2026-08-15T20:00:30.066999Z","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":"2026-08-15T20:00:30.772332Z","title":"Mendes, M","venue":null,"work_id":"a8e8d872-ab90-4929-9612-c90045487417","year":2015},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.071631Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:94163da5dfba649e8663f6677fd4aafbd6af1d8b15b3818b116241ace8db68e0","observation_id":"762ea4ef-53a1-4d5d-9e61-84944b65ade5","resolution":{"observed_at":"2026-08-15T20:00:30.776811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.758411Z","title":"Mitra, R","venue":null,"work_id":"711b517b-7bdb-410c-8386-f38ddee175c4","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.076300Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:72f8139402b655327ace6f51abca274b2d6980f45437cb89d322303516dc60ef","observation_id":"6e4a8d48-7483-451b-8206-2a12f8e40427","resolution":{"observed_at":"2026-08-15T20:00:30.762792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.743989Z","title":"Pease, R","venue":null,"work_id":"5b37d4af-ce41-4f77-94a4-954d5c5c6917","year":1980},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.080881Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:51d45c84d80190a6fa82ebbf07d41acdbd47a7beb0f75f74f2110af1352f0076","observation_id":"a7fa8dac-2e29-47cf-bc5e-988b4ce79da4","resolution":{"observed_at":"2026-08-15T20:00:30.748671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.729855Z","title":null,"venue":null,"work_id":"54370829-7627-48b4-9272-4a0e8de67d69","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.085389Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:af1d9b373af8307cfb72eb664a1a74609a03292686d7762db44897d71112ff42","observation_id":"79e3df8e-6dc1-423f-a2b6-5368de8945cc","resolution":{"observed_at":"2026-08-15T20:00:30.734252Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.715630Z","title":"Shamir, N","venue":null,"work_id":"4888e4a4-18a1-498b-ac0f-4001bea0a62c","year":2014},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.090440Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:f896a8fba08765e07bca1dd56a86fe5a56798ec3b03944bf85feeea661332093","observation_id":"f558f330-a196-439a-8f0b-264f8678e45b","resolution":{"observed_at":"2026-08-15T20:00:30.720182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.700691Z","title":"Sharma and N","venue":null,"work_id":"2aded986-50d4-41d3-88c7-a1f56c8eeef9","year":2024},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.094870Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:36c729bf5131f79c0364abc6ccc48adfb9ed6a8b8cb2d68ef041ae779f3b14bd","observation_id":"2774ed41-cf62-4740-b6e0-d51296736af4","resolution":{"observed_at":"2026-08-15T20:00:30.705515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.686514Z","title":null,"venue":null,"work_id":"f4dffddb-bde3-4b40-b212-02dbde1980b0","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.099672Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:75ae657a77ac8942af6fd56fbf5fbbe9bf255fca8cd9a0d35be7d466de1295ef","observation_id":"42e9faa8-1dd3-4a3d-9182-e9ac4d96904a","resolution":{"observed_at":"2026-08-15T20:00:30.690804Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.672366Z","title":null,"venue":null,"work_id":"6964be61-bf32-47d3-a593-f2b56f69cead","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.104465Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:2f510392c52aace8f01c2222ad07e3e671c26c4011f9166793448d1005922f07","observation_id":"28d847ff-af94-428a-9f9a-32e71f7cfe14","resolution":{"observed_at":"2026-08-15T20:00:30.677045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.657953Z","title":null,"venue":null,"work_id":"51fb406e-e54c-4f8c-a5ed-9f5dbae9a7f6","year":2020},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.109250Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:0c34e5bd9635b1f59150d2240768884144392a909d77823b5152856d23dafe35","observation_id":"9fcfc3e9-cc1c-4da2-8762-70e4742fee5b","resolution":{"observed_at":"2026-08-15T20:00:30.662504Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.635759Z","title":null,"venue":null,"work_id":"18e2148c-d34e-4ef4-b88f-36908a9485a5","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.113709Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:947585b94f95babe5479c19c8347a5628795080e88b2143585c2ea328d89f846","observation_id":"a8f72f06-7742-4b2c-85fa-7c9f2d2f3a8e","resolution":{"observed_at":"2026-08-15T20:00:30.647513Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.615200Z","title":null,"venue":null,"work_id":"8d779882-27d0-4027-8f52-90727a387fcf","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.118441Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:18a53cf7368b361f48fc594be04e9d59cd64c7ed1837a59a6a29376e7c473542","observation_id":"f5511a81-62f5-479f-b4cb-bd970b92fc21","resolution":{"observed_at":"2026-08-15T20:00:30.623318Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.597855Z","title":null,"venue":null,"work_id":"f82319f7-dcfd-4350-81fd-4093d8c1f030","year":2020},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.122928Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b00245195d7c25d9e3e25d6cb9e292f81b64c850f6b39274cc11876d05f340f5","observation_id":"46841dab-536f-4515-91ae-8126ae7473d9","resolution":{"observed_at":"2026-08-15T20:00:30.603595Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.580644Z","title":null,"venue":null,"work_id":"9f89267f-edf7-44a3-b771-ba82192527d2","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.127538Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:809abe56c702920bc114dc7c0e24562fe121e7840d0db4226818bbad06eb98a7","observation_id":"0093b371-d2b2-406d-beb0-e2d8abf0ba70","resolution":{"observed_at":"2026-08-15T20:00:30.587046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.563453Z","title":"Xu, S.-L","venue":null,"work_id":"6f953267-dff0-4704-916e-2838302bcd0e","year":2022},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.132434Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:00d44bcef51501467109ff03a986d6faa91f3b280b378396ee268f4ac3fe59e3","observation_id":"1473cd6d-2bc1-46e1-8ca3-ab26ab231193","resolution":{"observed_at":"2026-08-15T20:00:30.568637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.547901Z","title":"Yang and W","venue":null,"work_id":"cd61fc64-ace0-4728-ae2b-8e3b6d476f2b","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.137221Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:293dd4d8b7dff58acc0ef5ac7b2d66f5991b8053a7a0151017b554c9af8c945e","observation_id":"c7d9ce38-5fc2-4f35-b9da-8ee5e9ea9400","resolution":{"observed_at":"2026-08-15T20:00:30.553060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.527825Z","title":null,"venue":null,"work_id":"3f945804-5afd-40d5-8e43-77dd05211b34","year":2019},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.141859Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:b66a029afadac11af7f2dd53a06bb6c47989a6cdede47866abcf354f25293d06","observation_id":"585d1e83-46bf-43ae-9faf-56c7283ebdb0","resolution":{"observed_at":"2026-08-15T20:00:30.534953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.508152Z","title":"Zhang, Y","venue":null,"work_id":"5b98458d-eae2-4881-b7c5-95abb65ca81a","year":2021},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.146421Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:11d38c0d2ab096a9af061c65951c0ed5b09f21cee29370b77e04e63298489be1","observation_id":"dd746a72-9da8-4ddf-9767-bca318ba08f6","resolution":{"observed_at":"2026-08-15T20:00:30.513783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-15T20:00:30.487654Z","title":"Zhang, J","venue":null,"work_id":"844e30c9-399a-43a7-b6c0-79ffe1f99146","year":2013},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.150715Z"},"links":{"citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:5b2c9facf85e25aff284d1920592d5b81ee581ad78404a5b99eb1900a644ef70","observation_id":"3289574e-c984-4fc7-8690-0cd3b24f6182","resolution":{"observed_at":"2026-08-15T20:00:30.495655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00582","last_updated":"2022-07-21T12:33:15Z","snapshot_observed_at":"2026-08-15T04:44:38.370440Z","submitted_at":"2018-06-02T04:45:58Z","title":"Federated Learning with Non-IID Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00582","snapshot_observed_at":"2026-08-15T20:00:30.155235Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T20:00:30.155235Z"},"links":{"cited_paper":"/paper/1806.00582","citing_paper":"/paper/2506.15264"},"observation_digest":"sha256:0919b777af045c22f9727b0b30b550e53239c02b14e460a0179a625e788ffa98","observation_id":"1c50a001-8d4e-47d0-8661-ed2a8c763d15","resolution":{"observed_at":"2026-08-15T20:00:30.155235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.15264","last_updated":"2025-06-18T08:40:49Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T09:02:21.343327Z","submitted_at":"2025-06-18T08:40:49Z","title":"Centroid Approximation for Byzantine-Tolerant Federated Learning"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":57},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.15264."}