{"as_of":"2026-08-10T18:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7cab24122163eccf04d9f442dd6b95b64f3c5e8b46e74a3f92e09d848f947950","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T17:34:06.050794Z","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":"2026-08-10T03:36:04.130832Z","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":"2026-08-10T17:34:06.050794Z","title":"Detailed com- parison of communication efficiency of split learning and federated learning,","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2501.12133","last_updated":"2025-01-21T13:46:23Z","snapshot_observed_at":"2026-08-10T17:26:32.909353Z","submitted_at":"2025-01-21T13:46:23Z","title":"Distributed Multi-Head Learning Systems for Power Consumption Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T17:34:06.050794Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2501.12133"},"observation_digest":"sha256:3a16a7bf001fd832395198ed4b8baa2fbea2b13e122f58cbe9efc0003b6911ac","observation_id":"f93803a9-8ed4-4e47-b5ac-9471264ba97a","resolution":{"observed_at":"2026-08-10T17:34:06.050794Z","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":"2026-08-10T03:36:04.130832Z","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":"2026-08-10T07:27:13.555794Z","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":"sha256:064ca83eead0e2469e08ba22d5dd4a537755995c9665a7d84454baf594a6f06c","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":"2026-08-10T03:36:04.130832Z","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":"2026-08-10T01:13:15.788556Z","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":"sha256:890067e98cb68773449a74b79342e53c2e872e6ad4d3c44d832bfced90210c9e","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":"2026-08-10T03:36:04.130832Z","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":"sha256:77cecc7f1bf2341b6db968ddac5b04dd703693061c44ad911c515b22d77a91ac","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":"2026-08-10T03:36:04.130832Z","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":"2026-08-09T08:53:22.244929Z","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":"sha256:6251971d0e1a27690453aff705d98d6473b3dc9a1f8214a2cd83938ef1dad9fd","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 2026-08-10T06:31:04.303077+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":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-08-10T03:36:04.130832Z","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":"sha256:1d49384648cd84996c5077130e0da6ec0dce2a84a1bf4020af82bae02197b2f4","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":"2026-08-10T03:36:04.130832Z","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":"2026-08-10T06:31:04.303077+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 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.09145."}