{"as_of":"2026-08-10T13:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:40ece7bc537035a050c68cc6cf0d9c6f498f983377d3a2004cde1ea1c1d1537d","coverage":[{"denominator":76,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":76,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:37:17.520152Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.02295/citation-record","integrity":"/paper/2507.02295/integrity","json":"/paper/2507.02295/citation-record.json","paper":"/paper/2507.02295"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:37:29.000662Z","title":"Williams, I","venue":null,"work_id":"d465a585-70f7-431b-b5a5-a812f9699fc9","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.070955Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:a92b4282aec978595001384550c8078e99345d4ce577317292bf1909395aac87","observation_id":"4329bec6-46ac-4093-970a-e4d13ec40da9","resolution":{"observed_at":"2026-08-06T20:37:29.086601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.855241Z","title":"Kumar, P","venue":null,"work_id":"b75e5c91-b676-4b66-a9e0-3d25a85152d4","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.148351Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:32b2d102f167e9d894cb3aa47a54f9123edf07fe68a1645005ffbabecf6639f2","observation_id":"e7a0a405-85c7-400a-9ccd-78e6da5f6092","resolution":{"observed_at":"2026-08-06T20:37:28.911440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.697751Z","title":null,"venue":null,"work_id":"744e4b9d-edc1-4e75-9319-4a97c8976136","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.272908Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:63e5a633ca47178efbf51c15a9172973fcff0fd6fb7f03e93628a04c2759e881","observation_id":"166e7f54-6486-4cc9-9a6d-68a78824a9b7","resolution":{"observed_at":"2026-08-06T20:37:28.775488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.593677Z","title":null,"venue":null,"work_id":"6d8ab0e6-ddbb-43ae-b55b-545a11cba369","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.348960Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:cec938020b1cad16a2211cb8144c98931b600c9d0d52add8fd60c1022a316281","observation_id":"cab74645-90fe-42c1-a429-9b2ce9491890","resolution":{"observed_at":"2026-08-06T20:37:28.645877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.444853Z","title":null,"venue":null,"work_id":"9323dbde-dbc7-4309-a32d-f078209a4012","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.424438Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:c9f2a99f785e1c974efd6fd1e97e837b298420b8e69025ad02ce104ed7ed78d8","observation_id":"ef403d5d-4329-4f2a-8f6b-7b12c4c76d27","resolution":{"observed_at":"2026-08-06T20:37:28.495970Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.302095Z","title":null,"venue":null,"work_id":"b4b74a86-a0df-4ac2-beff-953fe8a2d454","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.535280Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:5a759ad15915a32776d771fa7c4517eabae5d562a288d7b94f385777eaad9e3b","observation_id":"bc890d3d-d5ab-40a4-b459-5c40219a321c","resolution":{"observed_at":"2026-08-06T20:37:28.383766Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.205927Z","title":"Kononenko, Machine learning for medical diagnosis: history, state of the art and perspective, Artif","venue":null,"work_id":"2dd94966-5017-420b-978e-3101f8720606","year":2001},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.602144Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:39cbe217746fab2c92f6d5237367e22c07f39610ca66fee5e219ac9211d51256","observation_id":"543cb56d-7e0a-48e6-b6d7-05c67a6f940d","resolution":{"observed_at":"2026-08-06T20:37:28.253171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:28.046590Z","title":null,"venue":null,"work_id":"deded392-9358-4a34-b6c9-ffd57296a626","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.705243Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:70881fa88a058db80516cbf50bb2faff663b4169f2f75c57e751a7265d154021","observation_id":"da42d42b-c81d-4b95-911d-7bb71d02031d","resolution":{"observed_at":"2026-08-06T20:37:28.124733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.891402Z","title":"Nguyen, M","venue":null,"work_id":"58ccc8d6-678d-4964-8ce9-d8eec43ef2df","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.801819Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:dc03ca800333827d2586d21facc58cbbed3b3a3ab3c159c12d88421d8345be44","observation_id":"2400b26d-d6f1-4c2e-adc9-0d2d96ead832","resolution":{"observed_at":"2026-08-06T20:37:27.983619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.768189Z","title":null,"venue":null,"work_id":"ce7f4d39-4e31-44c9-ada3-85fd3612d93e","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:11.883298Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:70a643d1049b4034c08a670db4c776b88833c84f219a98701e2972c4755e2d0b","observation_id":"86561de9-4afb-4149-a82d-5026949e8790","resolution":{"observed_at":"2026-08-06T20:37:27.811223Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.613951Z","title":null,"venue":null,"work_id":"06279dda-8e4c-4127-ac9a-26dd7ee77807","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.027982Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:32c55c90c7c30c6b38444329431d15fbbcdf2fb7af7c5b5db10571ba05ff6d3e","observation_id":"d0ae7849-9964-4c3d-9e2f-d919eac7097e","resolution":{"observed_at":"2026-08-06T20:37:27.696431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.447142Z","title":null,"venue":null,"work_id":"38368875-ea3c-49fb-b074-106aea093884","year":2016},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.136727Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:53ecf458878cf3072f733bb94d5e92f53f404a0b466b00ac3af6825c885b9005","observation_id":"98371ece-6ebc-4fad-8078-a59a40db4c90","resolution":{"observed_at":"2026-08-06T20:37:27.553738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.297841Z","title":null,"venue":null,"work_id":"5a6c47cd-ec6c-419f-9ae2-a19931587b3c","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.196005Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:58e3911170279d8fd50093bbcba81176d82fd40aea3203efb8d64f3d6712695f","observation_id":"61712d47-8ee0-47f9-8c7d-494d1447c0b7","resolution":{"observed_at":"2026-08-06T20:37:27.369614Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:27.090734Z","title":null,"venue":null,"work_id":"d64849ee-bef7-4c16-9fe6-111d2b4c1971","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.287839Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:1fd7166c301f7bbd51c0c0089fd2cb8878b218f5c0144711ff46dd322c2d9000","observation_id":"07c216bf-f37d-4c30-a436-b4cae2eb702c","resolution":{"observed_at":"2026-08-06T20:37:27.175815Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.933274Z","title":"Ching, X","venue":null,"work_id":"af4bb0e0-32dc-4634-a17c-222aec99d5e8","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.360722Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:b5ae68a793e945873bf6621bc7738acf78ed30bab74fd3a814686cdf40d27cf2","observation_id":"07f0a1c5-d5ac-4696-9ad2-f1235918d864","resolution":{"observed_at":"2026-08-06T20:37:27.013559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.772560Z","title":null,"venue":null,"work_id":"c2e66559-8ca7-40e8-bf20-53bfdaeded4f","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.492923Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:744733e0a02bba2ebcdf758602af2b26498b414d03fc0fe4ab279b60558fd59e","observation_id":"f7caa2d5-af76-4ead-b98a-0467007b18f1","resolution":{"observed_at":"2026-08-06T20:37:26.868350Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.656382Z","title":null,"venue":null,"work_id":"97cf65a7-bf62-4137-8a75-91d68295c9d6","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.581829Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:b0cc8eaa8d60c9923510f13c619b879a9089517f57711bf97b636b846a124335","observation_id":"09984e8e-a39e-42d1-8ce7-ff8ba821c4d9","resolution":{"observed_at":"2026-08-06T20:37:26.706638Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.506493Z","title":"Wolfrath, N","venue":null,"work_id":"f271d408-6128-47b8-aad0-26c42dfde841","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.714985Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0026abab0ea46ed81ae9de964d64dd9c06b2a777bbbbc84b3eca8e4d14a78cd2","observation_id":"65b86906-4a35-4810-bcde-1c1e2b8ac468","resolution":{"observed_at":"2026-08-06T20:37:26.568476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03934","last_updated":"2020-12-05T01:33:57Z","snapshot_observed_at":"2026-08-09T06:49:53.460129Z","submitted_at":"2019-03-10T06:19:38Z","title":"Asynchronous Federated Optimization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03934","snapshot_observed_at":"2026-08-06T20:37:12.793555Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.793555Z"},"links":{"cited_paper":"/paper/1903.03934","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:f4b965c6cc22b58c82d7c60e0b06b4467d703d6265af055d8f786f81823b47ff","observation_id":"02255bd8-9c6b-446c-90d2-aeb1005e1adc","resolution":{"observed_at":"2026-08-06T20:37:12.793555Z","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":"2026-08-06T20:37:26.381416Z","title":null,"venue":null,"work_id":"d3929710-27b5-47af-860b-e4a02770c021","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.867864Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:a6307d21ede3a0850db0e822179b3aced2002fa3f182016cf8795822e1063570","observation_id":"687d27e2-7b26-4d85-9dbb-3729f247740d","resolution":{"observed_at":"2026-08-06T20:37:26.440568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.286583Z","title":"Zhang, X","venue":null,"work_id":"6d796d1c-cbd2-4252-869f-0399cd9c6530","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:12.934372Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:8440fae682f46592525447dceb05042f600f8e5b69b1a69b1105bd3e7e6dfbb7","observation_id":"ffb9ac4d-9406-4223-b1c5-a68a4978e556","resolution":{"observed_at":"2026-08-06T20:37:26.323848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.164746Z","title":null,"venue":null,"work_id":"98d01d45-2d86-4483-8a72-2328b3f1fcbe","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.005809Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:e0c3787433413825b60f4bba2ea9f78471c44d90f99958f1daf17c915f274160","observation_id":"23e8d9db-de39-4dc9-8f1d-3301199f7b97","resolution":{"observed_at":"2026-08-06T20:37:26.216492Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:26.024865Z","title":"org/federated/federated_learning (2020)","venue":null,"work_id":"6133543f-be40-49ff-83ea-aab633f13f25","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.062683Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:bff4889bc1fc5a18365f5852936f51762522cb33d7454ceb43b22c727562bb2b","observation_id":"b740e2f9-ac36-4a3b-a0ec-dc6a7adba44d","resolution":{"observed_at":"2026-08-06T20:37:26.099529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.01097","last_updated":"2019-12-09T20:02:37Z","snapshot_observed_at":"2026-08-06T00:22:10.318064Z","submitted_at":"2018-12-03T21:59:41Z","title":"LEAF: A Benchmark for Federated Settings","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.01097","snapshot_observed_at":"2026-08-06T20:37:13.157611Z","title":"Caldas, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.157611Z"},"links":{"cited_paper":"/paper/1812.01097","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0cdb30dccb6de95fcaa2e2ea9e3f1fcdb130556727df3ec18265f740e65484cb","observation_id":"63a9f4a9-81a2-4f87-8e22-e0d3542fc6ba","resolution":{"observed_at":"2026-08-06T20:37:13.157611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14390","last_updated":"2022-03-05T20:30:32Z","snapshot_observed_at":"2026-07-06T09:42:35.058716Z","submitted_at":"2020-07-28T17:59:07Z","title":"Flower: A Friendly Federated Learning Research Framework","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14390","snapshot_observed_at":"2026-08-06T20:37:13.251634Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.251634Z"},"links":{"cited_paper":"/paper/2007.14390","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:d97db7955cb074fb9add49bec189bbd4417a8bdec31c6bce23c20c99fca535eb","observation_id":"de227665-70f4-4df2-82b4-a1513ce2b3ce","resolution":{"observed_at":"2026-08-06T20:37:13.251634Z","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":"2026-08-06T20:37:25.900594Z","title":"Foley, M","venue":null,"work_id":"baf91adc-ef3a-488b-be6e-094cc1c23344","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.311766Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0395825cf08216cd74a7f57545fec77209238042db807dbfb4c1c7b4da225c04","observation_id":"a704cedf-b323-4a12-9382-cee330a8e575","resolution":{"observed_at":"2026-08-06T20:37:25.962711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.13518","last_updated":"2020-11-08T19:34:25Z","snapshot_observed_at":"2026-08-03T09:31:17.791596Z","submitted_at":"2020-07-27T13:02:08Z","title":"FedML: A Research Library and Benchmark for Federated Machine Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.13518","snapshot_observed_at":"2026-08-06T20:37:13.373112Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.373112Z"},"links":{"cited_paper":"/paper/2007.13518","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:a99736976e6bb915927b81c4f6788ea5ff2678c48bd8ab23c6e37b73601fd65b","observation_id":"bd185860-95d3-4693-97eb-9c0c38cf92c5","resolution":{"observed_at":"2026-08-06T20:37:13.373112Z","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":"2026-08-06T20:37:25.780483Z","title":"Bonawitz, H","venue":null,"work_id":"b04403c8-20af-4bd2-89cd-845b22e00442","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.450198Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:20c0b6610ea3d3f8a894ba2c9176fe63e235a1b9017093f674d9a3560e70e51e","observation_id":"d1d6ce9e-a95f-4c42-b704-2b8950f57d23","resolution":{"observed_at":"2026-08-06T20:37:25.838296Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:25.656884Z","title":"Vahidian, M","venue":null,"work_id":"7da4300f-5d44-4a79-95c4-1191376ac1cd","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.510251Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:b18b294699e621bbff7aa3c60641ddc1275db5dada463797a2ccf26379ef556e","observation_id":"7fb9963f-703f-41a8-a296-22817d4af894","resolution":{"observed_at":"2026-08-06T20:37:25.704611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:25.515447Z","title":"Pfeiffer, M","venue":null,"work_id":"cec3de29-200c-47bd-b1f0-5984979b9c08","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.575956Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:912269533596cb6129d9d076a0ad1d90be10a9d566ed1f79911af00cb284514b","observation_id":"dc461d0a-b593-4935-bb53-6c779cd93b21","resolution":{"observed_at":"2026-08-06T20:37:25.589851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:25.345541Z","title":null,"venue":null,"work_id":"4fdf0702-486e-4451-9f94-06b959ea8042","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.686744Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:2ee29d0d77ac8337dafb0df06f0275b8276730a6b6654267d8bfb16bd809518a","observation_id":"4bcf3bf0-bfac-4332-bf7f-04400a346c9f","resolution":{"observed_at":"2026-08-06T20:37:25.426782Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:25.231536Z","title":null,"venue":null,"work_id":"600f3687-6491-4222-bc4b-45231f1c2963","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.757588Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:3387c6a514b7a6d3e4797aa6db780aeed8f63b03fbb23d7093a19ab860d18566","observation_id":"220f5dea-4900-4ee4-a384-5c745a8769c1","resolution":{"observed_at":"2026-08-06T20:37:25.296504Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:25.057767Z","title":null,"venue":null,"work_id":"222af3dd-d70b-40fc-afe0-33559b70e964","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.835978Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:9c5abd95dfbcdbe2822912103e38146c586e89e2445bd3e6768e1ecb6ce4e108","observation_id":"56cac97a-3ae0-430d-9d85-93123c1f02f0","resolution":{"observed_at":"2026-08-06T20:37:25.145277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:24.951483Z","title":null,"venue":null,"work_id":"f9b26d63-1fbe-4560-ac17-07999cfcf67c","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.900046Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:2a41b20268dc65cee685a1dfecfca244be6c35370077a6f23a3b2ce9ac7cada8","observation_id":"7087d70d-ca0b-4693-b207-ec70288f8006","resolution":{"observed_at":"2026-08-06T20:37:25.002027Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:24.759732Z","title":null,"venue":null,"work_id":"b0f62341-1f09-4e4f-bad0-867d1dc3e501","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:13.947613Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:2e1115d66d57f45d5eb474d4a42fda3d5d5475ff4a3e4b2ceec4409ec2cf906b","observation_id":"569cf6a5-42f7-4208-9478-b3e6cda4e096","resolution":{"observed_at":"2026-08-06T20:37:24.870581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:24.539438Z","title":null,"venue":null,"work_id":"a5658356-d2d7-4dde-a64f-6bd68fe46a59","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.024882Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:1ab35a594853d1a5498d1bb9d15bd7d5e64a64922bd5f9a131ebecfe139fc13e","observation_id":"779aa2ba-dd6a-4854-9508-62a1d5cdb5d2","resolution":{"observed_at":"2026-08-06T20:37:24.662494Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:24.278846Z","title":null,"venue":null,"work_id":"75787d46-d1a9-4069-8df3-a20cff8417b0","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.072982Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:a6380ffa7fa77fdb1ae6fc3dbc55ed82b3d843b84140284103722a4b2d639f41","observation_id":"b1da553e-d476-45d5-ab94-d182a3bfc4e1","resolution":{"observed_at":"2026-08-06T20:37:24.406181Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:24.077613Z","title":"Zhang, Y","venue":null,"work_id":"9e0c850a-d11f-4086-9ec9-a72138b07bcc","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.142849Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:a7d721d07c93444dc022bab40741ba3df67ecfb1891dc257220865acbd252c3f","observation_id":"ce1fb309-ef0c-4707-84fd-b8a97c4a1750","resolution":{"observed_at":"2026-08-06T20:37:24.140560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06731","last_updated":"2019-05-16T13:23:49Z","snapshot_observed_at":"2026-07-06T07:53:29.215855Z","submitted_at":"2019-05-16T13:23:49Z","title":"BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06731","snapshot_observed_at":"2026-08-06T20:37:14.254485Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.254485Z"},"links":{"cited_paper":"/paper/1905.06731","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:3a3ded27e46978ba642a41c0f75ef896fef1cf9f34ff3a2d9d01b37d61da4321","observation_id":"f67eef53-dd0a-42b6-82ff-5aa15e7c14de","resolution":{"observed_at":"2026-08-06T20:37:14.254485Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.04017","last_updated":"2018-11-13T18:11:15Z","snapshot_observed_at":"2026-07-06T07:13:46.113351Z","submitted_at":"2018-11-09T17:10:47Z","title":"A generic framework for privacy preserving deep learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.04017","snapshot_observed_at":"2026-08-06T20:37:14.339732Z","title":"Ryffel, A","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.339732Z"},"links":{"cited_paper":"/paper/1811.04017","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:019ce2e143098e7ecab0cab5583a7526a6ccfb7592b07ecd019a41ea4c8ed1e2","observation_id":"34b34273-f1c3-41eb-8311-989577a3f9de","resolution":{"observed_at":"2026-08-06T20:37:14.339732Z","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":"2026-08-06T20:37:23.908548Z","title":null,"venue":null,"work_id":"c1c11897-8ad5-448b-aa59-d97553f00aa3","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.418842Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:e262e076b5170629c782ad1ef17d811329a627d8652f69c95b6057b91e2e4863","observation_id":"52ca38dc-3770-4206-97dd-da72b38b3675","resolution":{"observed_at":"2026-08-06T20:37:23.979618Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:23.782603Z","title":null,"venue":null,"work_id":"bb68e02c-1b10-4c4b-953a-0ddae815ae5a","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.495625Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:3f7e09b278d111a413102b2595e09722e49199672c7ff99d337606de1eba6cc4","observation_id":"3f8fc178-c848-4376-83dc-831c81c94582","resolution":{"observed_at":"2026-08-06T20:37:23.843841Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:23.607325Z","title":null,"venue":null,"work_id":"f1a8f128-2b7f-4d4b-84e5-fc04b3349087","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.583347Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:bcdbe6a906edd19be2c405af62f34acd4c7afe8817a24597905c900bc03295f2","observation_id":"57e697b5-50a3-4967-a368-8678c8610f66","resolution":{"observed_at":"2026-08-06T20:37:23.700418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:23.449737Z","title":"Naman, Y","venue":null,"work_id":"01a607b9-4529-4347-a282-0e39ea2a08b3","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.667285Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:87d75e9b51b9de4ee3154435cc6a7f902acb60190b021c87f95f047320515327","observation_id":"654dc6a6-f53e-4102-9f5b-3308581024d1","resolution":{"observed_at":"2026-08-06T20:37:23.538531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:23.269896Z","title":"Baheti, S","venue":null,"work_id":"8267a4de-3b4f-463c-8dd0-162aec43cc40","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.736697Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:3f4a0124e751ec58963d1ab7a763e55b7a73c1bb87837e3dff7dab4f9699274e","observation_id":"ae064d08-e710-4965-bd1f-fbf8f1e9006c","resolution":{"observed_at":"2026-08-06T20:37:23.348647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:23.122807Z","title":"Bonawitz, V","venue":null,"work_id":"a14772a2-0809-4cc0-80b4-4bb9993466b4","year":2017},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.809443Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:cefbf37014f4300353703573caa3f74844cf2221dd3da45c9e1f0e57fae4a92d","observation_id":"32160717-bbe0-4dcd-9253-05364682e546","resolution":{"observed_at":"2026-08-06T20:37:23.196656Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.990657Z","title":"Zhang, S","venue":null,"work_id":"0b4b3592-1a6b-413d-b961-5dbc2aee133f","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.879371Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:fdf3e2ea079f030b01e969ac679ba3aaffca6fded4e426e71a79034584d6febe","observation_id":"3116c968-62b5-4dde-a673-cebf9215f8f5","resolution":{"observed_at":"2026-08-06T20:37:23.047129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.818459Z","title":null,"venue":null,"work_id":"48bf2ea9-1553-4f3d-ac72-e75bd4df5ef9","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:14.960084Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0aeed309469ed54abef6d50453c80b7d56d113d8dcb5582ee4298b393394e43c","observation_id":"b4106cdd-0421-40a0-80bf-902b91a1c6ef","resolution":{"observed_at":"2026-08-06T20:37:22.889053Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.682149Z","title":null,"venue":null,"work_id":"e6ada974-5e3c-4fda-a4b0-364e855375b4","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.053709Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:261bc40289096e4afc41dc69bbc09df9f28fff9e3e901c13642b1793dbf18173","observation_id":"88947472-137d-4443-908c-eabf9693f96a","resolution":{"observed_at":"2026-08-06T20:37:22.750092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.542388Z","title":null,"venue":null,"work_id":"d0fd6582-ec14-492d-af7c-6898ae380b9e","year":2021},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.120954Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:70b059594a3746159b8fa666744baa54918734dff63ca4810a9d6f93addaf945","observation_id":"33ed4d3b-8139-46ee-a6b6-9c401133c9d5","resolution":{"observed_at":"2026-08-06T20:37:22.616252Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.343661Z","title":null,"venue":null,"work_id":"1436d467-f0ac-4e5e-a60f-a439310dae12","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.202124Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0341af92eb373a3dcb69c1e19e9c4e9f8d17a13ed27ace728f89e03bd542e0b9","observation_id":"707705a8-6c10-474b-b56e-01fe8028cf78","resolution":{"observed_at":"2026-08-06T20:37:22.438710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.04202","last_updated":"2022-07-09T06:22:39Z","snapshot_observed_at":"2026-08-07T12:14:03.550660Z","submitted_at":"2022-07-09T06:22:39Z","title":"Smart Multi-tenant Federated Learning","version":1},"cited_work":{"arxiv_id":"2207.04202","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.04202","snapshot_observed_at":"2026-08-06T20:37:17.638878Z","title":"Smart Multi-tenant Federated Learning","venue":"cs.LG","work_id":"1eb68454-8fd7-4f51-a2d0-6ace63c19d8f","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.316194Z"},"links":{"cited_paper":"/paper/2207.04202","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:218347c0d61078a44eb528869eba82f83609faca773a8b5f40857a1aa2d2c960","observation_id":"2eb22f2e-9cc4-4431-9c91-0473d150cd1a","resolution":{"observed_at":"2026-08-06T20:37:17.799318Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:22.136340Z","title":"Bhuyan, S","venue":null,"work_id":"a4f276ec-85f1-4497-ac52-cdc08aeae41c","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.373634Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:362e37a3d765bf84961081c853d6b4e49d3f24ade9dc2a71161dcc17d7b61e35","observation_id":"48dd4d14-e336-4f6f-819d-40c50fe4eed0","resolution":{"observed_at":"2026-08-06T20:37:22.231490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.981858Z","title":"Kabir, Z","venue":null,"work_id":"3f1ebae8-7714-48f2-ae1d-525f562af4c4","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.488683Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:5e7ff6c247cb2067abb0f99a2345ad714858f8dcf50196fed30d17045392057d","observation_id":"d7274d05-b3a3-451e-8cd3-248002d36cf3","resolution":{"observed_at":"2026-08-06T20:37:22.041630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.832091Z","title":null,"venue":null,"work_id":"468a6f3b-f506-42fd-807c-6a31cee8212f","year":2001},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.589814Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:83358eed274d0e00d7f253ff7566b2ea6416bc81cfde42a75c7d8c97c55a21d9","observation_id":"cc571c06-439b-42fd-b547-1432a2814aca","resolution":{"observed_at":"2026-08-06T20:37:21.909099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.594445Z","title":null,"venue":null,"work_id":"60384d19-7fbc-48ce-a187-31437423231f","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.663037Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0d0ac6ad65cec96beab09213afed2c6a7786608cf7355576fe29611884ed37ce","observation_id":"a372dd34-ae04-43db-9c8b-379133d3e21f","resolution":{"observed_at":"2026-08-06T20:37:21.701314Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.423690Z","title":"Luoto, K","venue":null,"work_id":"195b7a0f-090a-41f6-a0d9-1d6c4d184dca","year":2018},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.787143Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:f35316be223fde0b5b4449e1a2f6bbf968f90e1ef1498b58aff9e646287ade6a","observation_id":"72634b6c-9077-42ee-aee0-2ff930f8d88a","resolution":{"observed_at":"2026-08-06T20:37:21.526138Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.193818Z","title":"LeCun, L","venue":null,"work_id":"56e1a5d4-4235-4a17-b08d-d9a25898da40","year":1998},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.832590Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:9846584b8f388deac16e6a26812d51b29419fe8a7c0b10159bcff981987492fa","observation_id":"6fb39dbe-0168-4c96-a98c-3b91a13fa4fb","resolution":{"observed_at":"2026-08-06T20:37:21.286264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:21.045114Z","title":"Sandler, A","venue":null,"work_id":"4b066bc8-0ab5-439b-ac4d-3991507ac89c","year":2018},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.924578Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:89ce1a9cd46b79dac4393b2ba01942c21bfc310524bf40a5c13864ad90a017d1","observation_id":"1e446677-2772-4129-ad50-967412770efa","resolution":{"observed_at":"2026-08-06T20:37:21.120125Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:20.892258Z","title":null,"venue":null,"work_id":"3acf8c40-2611-4364-9646-0704e8845707","year":2016},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:15.983600Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:31241866a1c928fa5e43e916e094084d6956fe5a8f825f6a7a1d436149209296","observation_id":"941f83e4-dab3-4c7b-8483-4bf3a2cf443a","resolution":{"observed_at":"2026-08-06T20:37:20.959972Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:20.673971Z","title":null,"venue":null,"work_id":"bd6dded2-ad3e-4345-899a-6c153003a083","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.074810Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:d908e984ba706ad88f517cf495cbe45991ba0738a6b2ae6f090e308cc3eec1f1","observation_id":"3dc45f04-7eef-4d50-b69d-c74222e331f1","resolution":{"observed_at":"2026-08-06T20:37:20.760794Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:20.440725Z","title":"Hamilton, Z","venue":null,"work_id":"6bbdfcf8-f16b-4595-ae20-81fb2c35a041","year":2017},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.134611Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:3ee32d5c497ebbf675b25a74198b77aa46e33429d8e4951e49ce5f3784a50110","observation_id":"95e84728-b97a-43df-9683-f569fa5af66c","resolution":{"observed_at":"2026-08-06T20:37:20.548085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:20.236420Z","title":null,"venue":null,"work_id":"5a411408-e22e-4068-8659-24c263bb3ab3","year":2009},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.251148Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:7b40cb693127a69fd8bfd4dc372348b0691e1ec7d4b1c4172d52360856f5b01e","observation_id":"8e3bfdfa-f2f1-439b-acc6-382d69e2dc27","resolution":{"observed_at":"2026-08-06T20:37:20.359325Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:20.060013Z","title":"Yurochkin, M","venue":null,"work_id":"23403dfe-6e35-44ad-9d00-341ae807a413","year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.351675Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:da78caac5e14d2d4c46afb2502016cf0f550be48099f3c6bb6486a5ba21987ec","observation_id":"38477679-8908-4365-8f35-8c33f93736b7","resolution":{"observed_at":"2026-08-06T20:37:20.144435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:19.893935Z","title":null,"venue":null,"work_id":"58e7b125-5d86-483d-9c58-ebb29a1406e1","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.422024Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:c58780a64a748b667801a6ec7970392a29955d372f08b3fed3b1df857ffa7149","observation_id":"1ce44070-95d5-4a7d-8992-57302708512a","resolution":{"observed_at":"2026-08-06T20:37:19.957059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.00818","last_updated":"2019-12-02T14:29:00Z","snapshot_observed_at":"2026-07-06T08:41:25.156353Z","submitted_at":"2019-12-02T14:29:00Z","title":"Federated Learning with Personalization Layers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.00818","snapshot_observed_at":"2026-08-06T20:37:16.520762Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.520762Z"},"links":{"cited_paper":"/paper/1912.00818","citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:df246caad1b018998ad214d7668114ded74cd08f1a55fc99d7bbe1b0548e7575","observation_id":"83fa417a-6c29-4e25-a2ec-41a2594aee5e","resolution":{"observed_at":"2026-08-06T20:37:16.520762Z","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":"2026-08-06T20:37:19.680702Z","title":null,"venue":null,"work_id":"b84803a3-f33a-46e1-a05d-739bb380d423","year":1985},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.601732Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0566bb4ebd7d5bde6b67634783ca457973fcbe322593cb906e481400dd7f1632","observation_id":"9f455250-be18-49d4-8628-12ed345e1c0b","resolution":{"observed_at":"2026-08-06T20:37:19.763338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:19.509082Z","title":"Dwork, Differential privacy, in: International colloquium on automata, languages, and programming, Springer, 2006","venue":null,"work_id":"8e9025a4-6269-4702-8297-e2ccbaecbeef","year":2006},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.796627Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:0c192c370f8417a312ae5b239550d9e7fb6467be06607e91833fe46ee673d03c","observation_id":"3a724821-2e4d-45bc-82e5-d2dbf4981f3a","resolution":{"observed_at":"2026-08-06T20:37:19.599511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:19.347991Z","title":null,"venue":null,"work_id":"2b5ab737-4fd4-40b0-9c84-3c59932e0bf7","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.918669Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:7d3db3e4845f71c5356c5d112a2bc0ec20bcf8e1b98447bf497740938678ad93","observation_id":"6477c918-5d2e-4427-a4c7-0016c3b114e2","resolution":{"observed_at":"2026-08-06T20:37:19.419834Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:19.121649Z","title":null,"venue":null,"work_id":"df89a13b-69fe-480b-a638-d9c3acadd621","year":2022},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:16.980032Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:70da7f8a6a94e4fe4c76e7b245e9f158512ff94eea6731fa37941263cc509949","observation_id":"81212dc3-4eff-43bc-a71d-e9f6aeccc02f","resolution":{"observed_at":"2026-08-06T20:37:19.191721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:18.932665Z","title":"Zhang, Y","venue":null,"work_id":"d6890af1-4755-45ff-aca6-7def40ccd11b","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.054072Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:783a44c37f05fa056d84f8211072e756291041997e15c50f2fa5d1369e058a9a","observation_id":"d6d8ddcf-ce62-4e59-9729-a693cd2c3074","resolution":{"observed_at":"2026-08-06T20:37:19.034419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:18.761735Z","title":null,"venue":null,"work_id":"bf7796de-1bc6-4012-b91c-fe06ffe20276","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.101444Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:6ab0fea1385391ac2493a278d583416ae2178a3100439acf5d0c37164c63b706","observation_id":"48b3660c-c25b-4fec-8817-ba7ef90e8bec","resolution":{"observed_at":"2026-08-06T20:37:18.847592Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:18.566411Z","title":null,"venue":null,"work_id":"930f1249-2d22-4a2c-8a99-ad4c206dcea8","year":2020},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.246605Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:146a15ae0794ebd1a7ce616ca7ae238e989362d07e259f5cc5795593a11f4925","observation_id":"cab70ca1-2177-4541-be52-8568192ff66b","resolution":{"observed_at":"2026-08-06T20:37:18.647380Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:18.368872Z","title":null,"venue":null,"work_id":"37fd8ba1-a471-4559-875f-b19c2377bc9e","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.346899Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:30ba7122c9447256ccec2961cdf084d80c90f20acee7220efc4f6e9067c8006b","observation_id":"47a7ed3c-f38c-46c8-8200-3dc585ef989e","resolution":{"observed_at":"2026-08-06T20:37:18.469768Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:18.148023Z","title":null,"venue":null,"work_id":"f7e378d1-d18c-4efa-b860-6ed0f620de91","year":2024},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.445526Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:9efcee5cb4baeaf726fb22a34e7a907f4b5a0b39a7a16f779c6db96eef7c3da6","observation_id":"d53d1932-6cb7-4c50-93db-3a2af339a9c8","resolution":{"observed_at":"2026-08-06T20:37:18.244577Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T20:37:17.943584Z","title":null,"venue":null,"work_id":"8261b72a-7388-41db-9c72-8ecff500ba05","year":2023},"citing_paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:17.520152Z"},"links":{"citing_paper":"/paper/2507.02295"},"observation_digest":"sha256:e721aff8b5a60eae3e489228e46ea72582d03e070360bab52f4f3ab790fcdcb0","observation_id":"b6f8f03f-b36d-4cfd-8470-edc8f1578a91","resolution":{"observed_at":"2026-08-06T20:37:18.021623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02295","last_updated":"2025-07-03T04:07:40Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-10T05:06:19.938072Z","submitted_at":"2025-07-03T04:07:40Z","title":"Flotilla: A scalable, modular and resilient federated learning framework for heterogeneous resources"},"reference_resolution":{"displayed":76,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":49,"verified_exact":1,"verified_fuzzy":26},"total_outbound_references":76},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2507.02295."}