{"as_of":"2026-08-09T07:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47252b74e4933e39bfc1cdbb35c24b2f841be029c4934219e2eef5a013391538","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:00:43.770913Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T22:16:15.703859Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-08-07T15:00:43.770913Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.02003","last_updated":"2025-05-22T11:45:35Z","snapshot_observed_at":"2026-08-07T22:01:05.804325Z","submitted_at":"2025-05-22T11:45:35Z","title":"Navigating the Edge-Cloud Continuum: A State-of-Practice Survey","version":1},"reference_index":164,"source":"pdf_text","source_observed_at":"2026-08-07T15:00:43.770913Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2506.02003"},"observation_digest":"sha256:0b63673a8d2991d2571875ea85febe2f1351e769c41818bde4c0f646d041b1a8","observation_id":"eb1c0125-c6a0-48cc-a388-96c8f7f61014","resolution":{"observed_at":"2026-08-07T15:00:43.770913Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-08-06T15:31:31.738488Z","title":"Detailed com- parison of communication efficiency of split learning and federated learning,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.15816","last_updated":"2025-07-21T17:21:16Z","snapshot_observed_at":"2026-08-06T15:20:23.782927Z","submitted_at":"2025-07-21T17:21:16Z","title":"Federated Split Learning with Improved Communication and Storage Efficiency","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:31:31.738488Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2507.15816"},"observation_digest":"sha256:e8624774a0d66dd1ff9b42472f678ea08da0b10a3a2a3620526b9e89db2e7746","observation_id":"14eae9eb-b234-4be1-8b8c-f0bf79e4aa9a","resolution":{"observed_at":"2026-08-06T15:31:31.738488Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-07-13T12:53:49.802978Z","title":"Detailed comparison of communication efficiency of split learning and federated learning,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2604.03595","last_updated":"2026-04-04T05:24:09Z","snapshot_observed_at":"2026-08-06T15:57:36.599250Z","submitted_at":"2026-04-04T05:24:09Z","title":"ProtoGuard-SL: Prototype Consistency Based Backdoor Defense for Vertical Split Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T12:53:49.802978Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2604.03595"},"observation_digest":"sha256:447d6b93e7b81dd35d34bfe1f5c90dd9048a73c621df6f412855f9d31ba65319","observation_id":"61f42bfa-1cd0-48cc-820e-13deb8e2227c","resolution":{"observed_at":"2026-07-13T12:53:49.802978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":"1909.09145","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-07-01T22:16:15.703859Z","title":"arXiv preprint arXiv:1909.09145 (2019)","venue":null,"work_id":"4cd63bb7-cfae-42f6-915a-558d3446c7ae","year":1909},"citing_paper":{"arxiv_id":"2606.09869","last_updated":"2026-06-01T03:46:04Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-01T03:46:04Z","title":"QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-28T15:39:24.583771Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2606.09869"},"observation_digest":"sha256:19f7e7f436074187c05d0134df25fcbb0e499fa9fd162f29a18b8afdca057006","observation_id":"72215337-6b08-4127-a149-b8bbec8e365a","resolution":{"observed_at":"2026-07-01T22:16:15.705337Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-08-01T16:41:39.017914Z","title":"arXiv preprint arXiv:1909.09145 (2019)","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2607.17913","last_updated":"2026-07-20T13:08:41Z","snapshot_observed_at":"2026-08-05T06:43:05.293637Z","submitted_at":"2026-07-20T13:08:41Z","title":"AutoEncoder-Compressed Parallel Split Learning for Pre-trained Model Fine-Tuning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-01T16:41:39.017914Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2607.17913"},"observation_digest":"sha256:7343e064501a05c4792e8186745a9b679cec6f465e194e4c92dee162863dca1e","observation_id":"cf91a009-e3e0-410a-ac2d-1003f0c4c504","resolution":{"observed_at":"2026-08-01T16:41:39.017914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1909.09145/citation-record","integrity":"/paper/1909.09145/integrity","json":"/paper/1909.09145/citation-record.json","paper":"/paper/1909.09145"},"outbound":[],"paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:23:10.708764Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1909.09145."}