{"as_of":"2026-08-22T23:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c55b020cec91a3ba55a491de46dda00c12b32be5ae77e5ec595c496697a4d5f5","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:50:31.425336Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2502.06889/citation-record","integrity":"/paper/2502.06889/integrity","json":"/paper/2502.06889/citation-record.json","paper":"/paper/2502.06889"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.280572Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.280572Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:39e53b995345256d4e619aa64147dad46efa80463a320815fdd160ee3c14c15f","observation_id":"327b71fc-4dfb-4ce8-9543-2f5c605463ee","resolution":{"observed_at":"2026-08-08T17:50:31.280572Z","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":"2026-08-08T17:50:31.834430Z","title":"Anonymizing people in images using generative adversarial networks","venue":null,"work_id":"1a1576a5-d886-473e-be86-35a8a32ab5ca","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.284747Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:bb9c383b39bc03474515d81064a0e4069caf396850414ca74a751df58ae3619e","observation_id":"76e206f1-e83f-477c-8f0a-49635dc1ed32","resolution":{"observed_at":"2026-08-08T17:50:31.837664Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.825965Z","title":null,"venue":null,"work_id":"f18825c9-f114-4ea0-9e09-8342f2837357","year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.288038Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:2a27417c10333acdb0033694697a67349b3abbd708e6fa0d3c0dbf28cdef68cb","observation_id":"78ed162e-6dd8-4f57-9923-3b7cdc794b97","resolution":{"observed_at":"2026-08-08T17:50:31.829035Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.817566Z","title":"J., Hoeh, M","venue":null,"work_id":"62f66bba-5347-4c10-920f-542e5dc17d4f","year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.292164Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:8ab972005b721afde32051f61339e6c053ee9114c101172d9883292ff68f5729","observation_id":"aeb6828f-7f2e-498a-8a0f-ec8c68ddcba6","resolution":{"observed_at":"2026-08-08T17:50:31.820533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-08T17:50:31.295297Z","title":"J., Topal, T., Mathur, A., Qiu, X., Fernandez-Marques, J., Gao, Y., Sani, L., Kwing, H","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.295297Z"},"links":{"cited_paper":"/paper/2007.14390","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:6ec1162bc798eac9ac07ffc2209e993a2eac20990edb2600183c8996b827ef32","observation_id":"795d73c1-f32d-42da-9575-c0e025034aa8","resolution":{"observed_at":"2026-08-08T17:50:31.295297Z","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":"2026-08-08T17:50:31.809086Z","title":null,"venue":null,"work_id":"50edc58c-9fbb-4b01-b5fb-83acd88ad89c","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.298756Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:c16a99791b4efd31cf5057ac784a223e8cf2da451e89d95fe1bed3c2b9e3228e","observation_id":"d0ad187d-bcfb-43f3-9ef3-df39970ea74f","resolution":{"observed_at":"2026-08-08T17:50:31.812065Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.800785Z","title":null,"venue":null,"work_id":"a5209a1a-4d99-4d76-ae9a-4b5d5891eb0c","year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.302000Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:18e581eb011964d69156a2de69e4580d346a7619931dc0bf29092220cba6ec21","observation_id":"e42b24b0-3045-4b4d-97e3-8897bd769e55","resolution":{"observed_at":"2026-08-08T17:50:31.803798Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.305129Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.305129Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:deab225a023d95ca2479d4ed2b24e1f94cf44b51d373bd365f5796c4e8dbfc40","observation_id":"d6154f2d-4ef8-452a-90cd-f89cb2390fa4","resolution":{"observed_at":"2026-08-08T17:50:31.305129Z","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":"2026-08-08T17:50:31.787732Z","title":null,"venue":null,"work_id":"da924a7f-74c2-4e22-9358-de762a09912a","year":2019},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.307980Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:276a6038f2a3f59d9c139c3cd43f61b8fb7514efca3786cffae68fb9c15091bd","observation_id":"eb040117-57e2-4453-8eeb-f0895b437929","resolution":{"observed_at":"2026-08-08T17:50:31.790662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.779534Z","title":null,"venue":null,"work_id":"bca25873-b83f-499f-ae5b-c641f6684aca","year":2019},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.310952Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:c3dd7acc8479928053dd452f7ac933f7b73f93d2b7a591ee609999d0cee7f03f","observation_id":"71219b36-18cf-4a6c-8620-94c8252a1084","resolution":{"observed_at":"2026-08-08T17:50:31.782492Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.771057Z","title":"C., and Hospedales, T","venue":null,"work_id":"9849123b-e0ed-4fc9-b539-a692a7478f66","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.314061Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:c29204fa587ee6730149f1597162fa3f246c0c0acb6415fd3c2649db81aecc03","observation_id":"94867b9b-131b-474a-b888-b72ca20aa132","resolution":{"observed_at":"2026-08-08T17:50:31.774236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.762718Z","title":null,"venue":null,"work_id":"0f947ad3-0fb9-486e-bbaf-1bb1e77b72de","year":2015},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.316980Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:cd2e488bccfd97c48e05331aebc28dca1afb5fb0b0bf35201f7fbb63f5fc40b4","observation_id":"0b69f494-6445-4802-90b0-2fdfc4f15abb","resolution":{"observed_at":"2026-08-08T17:50:31.765613Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.319721Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.319721Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:03306f4ff8cc8c0781744aa894ee47e47b99ed6f898fee144f2592bd4cc35775","observation_id":"0d28d447-ff48-47b1-99e5-a796d10f7d05","resolution":{"observed_at":"2026-08-08T17:50:31.319721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.322529Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.322529Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:ec1cc154e59fd2dede37398cc8373c8dc36ef2c48a22817aaf5a2b46d279ce88","observation_id":"143226c7-0192-46cf-99f5-72ad3ab5eb8c","resolution":{"observed_at":"2026-08-08T17:50:31.322529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6572","last_updated":"2015-03-20T20:19:16Z","snapshot_observed_at":"2026-08-19T07:17:20.004918Z","submitted_at":"2014-12-20T01:17:12Z","title":"Explaining and Harnessing Adversarial Examples","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6572","snapshot_observed_at":"2026-08-08T17:50:31.325326Z","title":"J., Shlens, J., and Szegedy, C","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.325326Z"},"links":{"cited_paper":"/paper/1412.6572","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:f3fc08a6d87d178d0af554c5001243e08cdebd05dc3eb3a8e9011704231981c4","observation_id":"3966d28f-4fdf-419f-8a98-99a148ea1fbf","resolution":{"observed_at":"2026-08-08T17:50:31.325326Z","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":"2026-08-08T17:50:31.745321Z","title":null,"venue":null,"work_id":"ee10fb95-50e9-4649-80b9-dfabeb37fa8f","year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.328476Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:d03f24367757859044dd2c6e5aa8ce2456b01a8ace743f55b62e6d34bb95aee2","observation_id":"9a064637-697e-4ae6-af83-860314f411a3","resolution":{"observed_at":"2026-08-08T17:50:31.748188Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.737577Z","title":null,"venue":null,"work_id":"de0130f2-532b-4466-915a-3d116630af6f","year":2017},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.331164Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:fe7e2c12c54168cedd552f356fc13f5c074f2bcc71e94486bd37028162074ce9","observation_id":"56248f84-8f61-4a0b-81eb-b962218a4e89","resolution":{"observed_at":"2026-08-08T17:50:31.740344Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.729611Z","title":null,"venue":null,"work_id":"5c566077-fcf0-4ce2-8b6f-e581caf6a1e3","year":2015},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.333887Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:aec2f68a6c34a46ff95d9112bcc5cf50889ba27ce33840cf99c6627f1df82ba2","observation_id":"52c7086c-eb45-489a-952a-8911405f4a76","resolution":{"observed_at":"2026-08-08T17:50:31.732510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.721824Z","title":"and Lindseth, F","venue":null,"work_id":"ede0f5a0-cbd9-4684-b0f5-e63249cb6e2b","year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.336421Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:6a41a69a54ff2a086d28b94401699b9fcd34fe1d8d441dd8e36ccc88a20a10ce","observation_id":"ed793522-16e8-4db8-b352-cf76321c2106","resolution":{"observed_at":"2026-08-08T17:50:31.724698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.713880Z","title":"and Lindseth, F","venue":null,"work_id":"dc28b67e-2c0b-4fa1-91eb-ac4fca0b0e2d","year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.339352Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:b3993497a05d476f8490c223ac626836de1bbd243be5166f6388f3469465d11d","observation_id":"ccc80147-3644-488d-b493-f588692e6770","resolution":{"observed_at":"2026-08-08T17:50:31.716875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.706120Z","title":null,"venue":null,"work_id":"e7409910-ea5c-4f46-a456-0cf6b1979b01","year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.342047Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:3d6ac930b6f7b6daf33699e160480d8d3c75715fbf7004d59600654b3ffd69b8","observation_id":"3401f888-75a8-4967-b3d9-c1a9fe66222a","resolution":{"observed_at":"2026-08-08T17:50:31.708924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.698378Z","title":null,"venue":null,"work_id":"ba8a22f0-b269-49da-a85c-ebf8122eeb72","year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.344755Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:865ee921d704253e62b06e9d0699da4e66a0c3aa75e78bfc4043ea57aa1342cc","observation_id":"04651af6-de1c-4611-8d6c-60554b4c4eee","resolution":{"observed_at":"2026-08-08T17:50:31.701205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.690434Z","title":"A., Makowski, M","venue":null,"work_id":"1d85732e-ee70-4bfe-a439-8f517d913587","year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.347509Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:ce932a052d0a72c9f4fd6522fe199bebbc47b4cd4b95c18c82dd1ab9eaf35857","observation_id":"5d6dca39-67cb-436e-a12b-c331443ef9e2","resolution":{"observed_at":"2026-08-08T17:50:31.693297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.682642Z","title":null,"venue":null,"work_id":"cccae5e6-3ace-454d-91f3-139d696c4e88","year":2017},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.350153Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:e14feab55143cb6746e0f185d95397d25c88de8f622aef6b9ed9c35c01c86e3c","observation_id":"be6646c4-b9b6-4257-8f26-42de9331d8a4","resolution":{"observed_at":"2026-08-08T17:50:31.685435Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.674675Z","title":"and Deng, J","venue":null,"work_id":"8ca78ab5-c346-450a-b86b-b51fd27c4a03","year":2018},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.352929Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:904c7f134cc5b0ce255366ac15b34e8de54da196bb6a3b0977c6892f1fe61c20","observation_id":"ddb6b73c-0e7b-4392-8892-9e7ae5701cc5","resolution":{"observed_at":"2026-08-08T17:50:31.677552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.666789Z","title":null,"venue":null,"work_id":"4edf1f77-84fb-458f-8ba3-b85720274a00","year":2017},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.355729Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:9a6a21d72d421996e79da10f7627844368c6de709fa98cc6dfcd895fc8600fbd","observation_id":"e9cb271a-b805-4563-9cf9-57ae92b6f610","resolution":{"observed_at":"2026-08-08T17:50:31.669598Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.658961Z","title":null,"venue":null,"work_id":"f8211f53-135a-416a-b115-60f58019a1f3","year":2017},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.358481Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:19f32ff85a0712142c893c482ff7e4d80044f51fe872554b2cd6c9e71d8336b5","observation_id":"99e79dae-ebc6-4864-86fd-53a53711792f","resolution":{"observed_at":"2026-08-08T17:50:31.661823Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.650707Z","title":null,"venue":null,"work_id":"d26f8e68-c6b4-42e1-9cc3-44963da1c68c","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.361395Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:4cff19841a2884842ea4d8d9225a1d73ba13a2003c903b80f0ae2d2955cc2145","observation_id":"4a7224bd-1cf3-4822-bcee-0a27b3e52d10","resolution":{"observed_at":"2026-08-08T17:50:31.653745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.642547Z","title":null,"venue":null,"work_id":"7adf9dce-2255-4f92-9ef2-41f77a064155","year":2016},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.364130Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:617715b827cda1c25798ed9dfeeb569470957eecfc4488eba79a959b4eb7413e","observation_id":"e0a26d08-b813-4309-927c-1a581b1552c4","resolution":{"observed_at":"2026-08-08T17:50:31.645398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.634500Z","title":null,"venue":null,"work_id":"5c3d523f-fff3-4ed6-bb18-c7b79062ee2c","year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.366811Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:630ebc6f3643f2069914235909bb82fd14552a5c004f537ed3dfc421c2d17e4d","observation_id":"f71e082d-72b3-44ae-90c0-fe6ef0873679","resolution":{"observed_at":"2026-08-08T17:50:31.637375Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.626206Z","title":null,"venue":null,"work_id":"d330185b-9a17-400b-8828-a4d330323524","year":2021},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.369463Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:43fcad2d0537daad80e86244365d51088d82814563631dc596fb5048eeebff54","observation_id":"5c7217a9-a0c1-4171-8fef-454e27ee4873","resolution":{"observed_at":"2026-08-08T17:50:31.629133Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.617711Z","title":"K., Leo, C., and Hurley, C","venue":null,"work_id":"0b245fb0-7091-410e-98a0-d684e18bf631","year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.372232Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:d08e9de23efdb069f9081318a9111a745833b53bfe336f640faad5e5152fc24a","observation_id":"12c46a71-694a-442e-9eb6-84afab6b9adc","resolution":{"observed_at":"2026-08-08T17:50:31.620821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.609057Z","title":null,"venue":null,"work_id":"6ea52d3f-77ca-4a45-8ef9-88a2ff8a719e","year":2017},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.374907Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:128573a3f3deddd5c72b6b980e0e6eda1c71c3c31ac9fde013f9713cc983b833","observation_id":"91c7d7cb-61b2-40e5-a1f8-b8316336ee07","resolution":{"observed_at":"2026-08-08T17:50:31.612008Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.600505Z","title":"B., Moore, E., Ramage, D., Hampson, S., and y Arcas, B","venue":null,"work_id":"efab9d67-0509-4dac-aadc-431dc5b96eac","year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.377641Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:713542e039252e9a957daf15c60600d7b3f6f0435504c9447d5f8942ef8cc274","observation_id":"c55a6525-917f-4b20-ac11-7df7e87107ba","resolution":{"observed_at":"2026-08-08T17:50:31.603537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.592187Z","title":null,"venue":null,"work_id":"fb3648b9-8788-4954-bf21-8c5be7211579","year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.380384Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:3b6277ddcb348d3cf4dd14943c1ac94ab33887d2524878c662c2b8eeea9ab542","observation_id":"aa23da85-ef5d-4608-b5b4-0fdb37e96a2a","resolution":{"observed_at":"2026-08-08T17:50:31.595149Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.583647Z","title":null,"venue":null,"work_id":"7c9fd281-c8e8-4e64-a027-e158a37d6bab","year":2019},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.383186Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:75e92f6cae531a082d64d62c32e37c5f84e604755458d8f85278ee10dffbc1f2","observation_id":"0fc60710-f71c-4106-b985-ba7fe68370e2","resolution":{"observed_at":"2026-08-08T17:50:31.586743Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.575061Z","title":null,"venue":null,"work_id":"1d656a9f-052e-4b2f-bac2-20fb5674b6e8","year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.385977Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:eb0397904547ec88e4235d4c0bf42e613cb8d98c6722f7dbb03e8269c75f8866","observation_id":"3b5ea89c-28e2-44a8-b369-f6fdc53d11e2","resolution":{"observed_at":"2026-08-08T17:50:31.578221Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.00295","last_updated":"2021-09-08T23:37:17Z","snapshot_observed_at":"2026-08-13T06:06:10.844945Z","submitted_at":"2020-02-29T16:37:29Z","title":"Adaptive Federated Optimization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.00295","snapshot_observed_at":"2026-08-08T17:50:31.388736Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.388736Z"},"links":{"cited_paper":"/paper/2003.00295","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:4607e87bfcbafee6defcaf7d323e41bf45942fe53ed8e2c0cf2f3e25171187f7","observation_id":"afdf41af-5579-4be6-a92f-96f31da8cd6f","resolution":{"observed_at":"2026-08-08T17:50:31.388736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.391708Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.391708Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:4e142333a6e7b161ebc82289bf38a495d6d937a0c59a1bbf2cfc0c87a201298e","observation_id":"ce741a87-fba9-41db-813a-8ecca21e047e","resolution":{"observed_at":"2026-08-08T17:50:31.391708Z","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":"2026-08-08T17:50:31.562071Z","title":null,"venue":null,"work_id":"84270d2c-e1e0-454b-8548-ed6bca6115bb","year":2015},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.394461Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:e530ed5df3db00dd44919ffd176a28d0f328c3737beaf81f6b0c817d5fe2f340","observation_id":"a8412e26-7e44-4329-bf89-5fac09107605","resolution":{"observed_at":"2026-08-08T17:50:31.564880Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.553953Z","title":"J., and Ryoo, M","venue":null,"work_id":"a1f90d67-dd21-424e-9cac-335fb8868315","year":2018},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.397285Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:7d001fe5a961902bd49f5c5a5d0f332ff03a0dc2d308ffa104c3828fd73c65e5","observation_id":"7d758ad8-af93-4515-ab5c-87f04f333590","resolution":{"observed_at":"2026-08-08T17:50:31.556888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.545367Z","title":null,"venue":null,"work_id":"9ab461ff-d604-4d82-bc90-665f241fc8e6","year":2009},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.399974Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:e32e78482b8438d97024a4dd990c530829d8783d5141d08d956bdeb345daf761","observation_id":"123e6b25-d8d3-4c8e-918e-f6906157d66c","resolution":{"observed_at":"2026-08-08T17:50:31.548611Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.536344Z","title":"and Shmatikov, V","venue":null,"work_id":"821b7e97-8976-49f6-b9dd-625f13bc6b8d","year":2015},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.402624Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:aff9b7b08e9fca4c4c2bb8a3390c4d2fe8079b921c1081484aa9df0e5bec3af9","observation_id":"7672a25c-859a-4e80-8d7a-875837b666d8","resolution":{"observed_at":"2026-08-08T17:50:31.539225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10651","last_updated":"2024-05-07T09:20:13Z","snapshot_observed_at":"2026-08-16T16:22:49.814188Z","submitted_at":"2022-10-19T15:28:52Z","title":"Fant\\^omas: Understanding Face Anonymization Reversibility","version":3},"cited_work":{"arxiv_id":"2210.10651","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.10651","snapshot_observed_at":"2026-08-08T17:50:31.464408Z","title":"Fant\\^omas: Understanding Face Anonymization Reversibility","venue":"cs.CR","work_id":"044c93f3-94d7-4e7a-98b6-4b71edf06ae1","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.405545Z"},"links":{"cited_paper":"/paper/2210.10651","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:a36fb9bcf2b141b30ba3882ce298b1d24b807c3d088be5f198aa8254694cc783","observation_id":"b27fefd8-de14-4cfd-9764-36e1dd223ff8","resolution":{"observed_at":"2026-08-08T17:50:31.469648Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.528045Z","title":"and Tanase, M","venue":null,"work_id":"31fdce45-b011-4e2a-9c37-4eaccae5936a","year":2000},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.408635Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:9c941e3d3b1af3d66fd481954e054bb6df5ef9269a1e0604426a6a13e0641000","observation_id":"cace2c40-8fa6-4847-95e7-5dd83b97dffb","resolution":{"observed_at":"2026-08-08T17:50:31.530909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.519536Z","title":null,"venue":null,"work_id":"bc188c23-1fb9-46d2-8ef5-7aca0c50e473","year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.411317Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:a43406c898df26f2eb7a5fce3ec828ec89bf398bb7996e161726f1e1ca40b50b","observation_id":"06cf70ae-4a43-4b7d-ba6c-b29ee2dab5e8","resolution":{"observed_at":"2026-08-08T17:50:31.522516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.01829","last_updated":"2023-04-04T14:33:30Z","snapshot_observed_at":"2026-08-22T11:26:57.906267Z","submitted_at":"2023-04-04T14:33:30Z","title":"A Survey on Vertical Federated Learning: From a Layered Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.01829","snapshot_observed_at":"2026-08-08T17:50:31.414051Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.414051Z"},"links":{"cited_paper":"/paper/2304.01829","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:cc48a360f80b8fc80eab3bb779083b57720ff0e74af61d09b5b85fca1927d281","observation_id":"597ca57c-8ab1-4ed1-9ecd-a768f914261f","resolution":{"observed_at":"2026-08-08T17:50:31.414051Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03688","last_updated":"2024-02-06T04:22:44Z","snapshot_observed_at":"2026-08-19T07:47:36.725620Z","submitted_at":"2024-02-06T04:22:44Z","title":"A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03688","snapshot_observed_at":"2026-08-08T17:50:31.417088Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.417088Z"},"links":{"cited_paper":"/paper/2402.03688","citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:2b952ecc4452d0d7e4b5d3fdd65270bf2ec1bb3f2e9c56342a3a48b417cb7681","observation_id":"df842c28-d706-4efc-b125-935ea8bcd03b","resolution":{"observed_at":"2026-08-08T17:50:31.417088Z","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":"2026-08-08T17:50:31.511035Z","title":"and Liu, Y","venue":null,"work_id":"e43deed4-4ff1-431d-ba36-d6dce06114ee","year":2019},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.420091Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:718fd69a5cd14fbe522ed696af1eff697f207f90d79d9e74875969092d8c3187","observation_id":"bf8fc690-8a47-42af-91b5-553712c0c793","resolution":{"observed_at":"2026-08-08T17:50:31.514024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-08T17:50:31.502474Z","title":"and Yan, W","venue":null,"work_id":"34acd3e6-744d-48b9-a282-43565ebe6491","year":2022},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.422793Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:15190a6977a4d386cf53320326a8d01b9f71bba10d0219c7e95ef749b9ce49b9","observation_id":"535563e7-c51e-4200-9662-d9a15ca24f51","resolution":{"observed_at":"2026-08-08T17:50:31.505426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T17:50:31.425336Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T17:50:31.425336Z"},"links":{"citing_paper":"/paper/2502.06889"},"observation_digest":"sha256:44838e91b452b44d3106b6c1783b24a5c4133899040188de9d7ec12ef440fff5","observation_id":"656117cf-ecb9-4cf2-9d1b-89857289525c","resolution":{"observed_at":"2026-08-08T17:50:31.425336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.06889","last_updated":"2025-02-09T09:44:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T16:26:58.482913Z","submitted_at":"2025-02-09T09:44:18Z","title":"Secure Visual Data Processing via Federated Learning"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":36,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":51},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2502.06889."}