{"as_of":"2026-08-14T16:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:823ff9282b4a0a53cee80962e444fc1ac360700d2b3189a6737567358c871f49","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:52:51.851584Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T13:47:05.778387Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.02120","last_updated":"2022-04-18T20:19:23Z","snapshot_observed_at":"2026-08-02T12:21:25.607968Z","submitted_at":"2019-10-04T19:46:16Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.02120","snapshot_observed_at":"2026-08-06T18:19:59.466187Z","title":null,"venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2507.09029","last_updated":"2026-05-31T02:40:58Z","snapshot_observed_at":"2026-08-09T07:04:00.337129Z","submitted_at":"2025-07-11T21:25:11Z","title":"Model Parallelism With Subnetwork Data Parallelism","version":5},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:59.466187Z"},"links":{"cited_paper":"/paper/1910.02120","citing_paper":"/paper/2507.09029"},"observation_digest":"sha256:0c0af1ea0a9ec32e46977df3ac3a6515534e85f35dd68ba4c3d23193c7f22bd1","observation_id":"940a92c8-87f6-454b-b270-a35b838ceaa0","resolution":{"observed_at":"2026-08-06T18:19:59.466187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.02120","last_updated":"2022-04-18T20:19:23Z","snapshot_observed_at":"2026-08-02T12:21:25.607968Z","submitted_at":"2019-10-04T19:46:16Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training","version":7},"cited_work":{"arxiv_id":"1910.02120","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.02120","snapshot_observed_at":"2026-07-10T13:47:05.778387Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training","venue":"cs.LG","work_id":"862e96e3-193e-4e0d-844b-89c9a63cc239","year":2019},"citing_paper":{"arxiv_id":"2607.08013","last_updated":"2026-07-09T00:39:20Z","snapshot_observed_at":"2026-08-12T16:12:46.508464Z","submitted_at":"2026-07-09T00:39:20Z","title":"Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-10T13:44:13.951954Z"},"links":{"cited_paper":"/paper/1910.02120","citing_paper":"/paper/2607.08013"},"observation_digest":"sha256:347774b6a0720712ca04576b9579d8c9bcebd4b8137760fd58b599fa572efd72","observation_id":"f08b8cc2-2f46-4568-a27a-88260fb16c65","resolution":{"observed_at":"2026-07-10T13:47:05.779617Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.02120","last_updated":"2022-04-18T20:19:23Z","snapshot_observed_at":"2026-08-02T12:21:25.607968Z","submitted_at":"2019-10-04T19:46:16Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.02120","snapshot_observed_at":"2026-08-10T13:52:51.851584Z","title":"Distributed learning of deep neural networks using independent subnet training,","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2608.07157","last_updated":"2026-08-07T12:26:03Z","snapshot_observed_at":"2026-08-12T23:11:58.053902Z","submitted_at":"2026-08-07T12:26:03Z","title":"Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T13:52:51.851584Z"},"links":{"cited_paper":"/paper/1910.02120","citing_paper":"/paper/2608.07157"},"observation_digest":"sha256:1040bdfabbe62dd00ddb071fced338cdb424a24daef8ff40ef78c30829e358b1","observation_id":"ad77f6fc-60ef-424a-9b8a-720db0c19f5e","resolution":{"observed_at":"2026-08-10T13:52:51.851584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1910.02120/citation-record","integrity":"/paper/1910.02120/integrity","json":"/paper/1910.02120/citation-record.json","paper":"/paper/1910.02120"},"outbound":[],"paper":{"arxiv_id":"1910.02120","last_updated":"2022-04-18T20:19:23Z","latest_version":7,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T12:21:25.607968Z","submitted_at":"2019-10-04T19:46:16Z","title":"Distributed Learning of Deep Neural Networks using Independent Subnet Training"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02120."}