{"as_of":"2026-08-10T17:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6bc61b4ab8eb02299fc41fade922def4b3c93b7b9d9cc7bf3821fdc309b5be56","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":"2026-08-10T06:31:04.303077+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":"2026-08-06T11:14:08.235788Z","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":"2026-05-11T05:51:11.049690Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.13039","last_updated":"2021-01-02T22:02:32Z","snapshot_observed_at":"2026-07-06T09:31:56.096344Z","submitted_at":"2020-06-22T06:46:11Z","title":"D2P-Fed: Differentially Private Federated Learning With Efficient Communication","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.13039","snapshot_observed_at":"2026-08-06T11:14:08.235788Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23108","last_updated":"2025-07-30T21:21:19Z","snapshot_observed_at":"2026-08-09T20:12:27.377406Z","submitted_at":"2025-07-30T21:21:19Z","title":"Quantification of the energy consumption of entanglement distribution","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:14:08.235788Z"},"links":{"cited_paper":"/paper/2006.13039","citing_paper":"/paper/2507.23108"},"observation_digest":"sha256:7bd9cbda6880b8e3ceef21db7964b1134759ec05a4abd852477713a434218d78","observation_id":"d5bcff93-6758-4c0b-a9dc-f3e9a8b05a8b","resolution":{"observed_at":"2026-08-06T11:14:08.235788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.13039","last_updated":"2021-01-02T22:02:32Z","snapshot_observed_at":"2026-07-06T09:31:56.096344Z","submitted_at":"2020-06-22T06:46:11Z","title":"D2P-Fed: Differentially Private Federated Learning With Efficient Communication","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.13039","snapshot_observed_at":"2026-08-04T21:12:50.411303Z","title":"D2P-Fed: Differentially private federated learning with effi- cient communication.arXiv preprint arXiv:2006.13039, 2020","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.08195","last_updated":"2025-09-09T23:59:20Z","snapshot_observed_at":"2026-08-07T09:54:28.847209Z","submitted_at":"2025-09-09T23:59:20Z","title":"Sketched Gaussian Mechanism for Private Federated Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T21:12:50.411303Z"},"links":{"cited_paper":"/paper/2006.13039","citing_paper":"/paper/2509.08195"},"observation_digest":"sha256:200ee954eef4b8b5c3ac10408da63f79e447687cc51007df834858709619bfc4","observation_id":"9acf48bf-5f6d-475d-b233-b8f689f0e041","resolution":{"observed_at":"2026-08-04T21:12:50.411303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.13039","last_updated":"2021-01-02T22:02:32Z","snapshot_observed_at":"2026-07-06T09:31:56.096344Z","submitted_at":"2020-06-22T06:46:11Z","title":"D2P-Fed: Differentially Private Federated Learning With Efficient Communication","version":5},"cited_work":{"arxiv_id":"2006.13039","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.13039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"D2p-fed: Differentially private federated learning with efficient communication","venue":null,"work_id":"401d69f8-8f50-440e-80bc-d9fe3f5a624a","year":2006},"citing_paper":{"arxiv_id":"2604.07125","last_updated":"2026-06-06T12:46:41Z","snapshot_observed_at":"2026-08-09T11:43:45.315293Z","submitted_at":"2026-04-08T14:19:39Z","title":"Scalable and Private Federated Learning Using Distributed Differential Privacy and Secure Aggregation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T17:54:31.930947Z"},"links":{"cited_paper":"/paper/2006.13039","citing_paper":"/paper/2604.07125"},"observation_digest":"sha256:d5d9c21f768ea0f52a53a450376cc5b50de8f1a2560cf54a18419f38298b1502","observation_id":"a3696b7e-379b-440a-9bfe-08021a4f2128","resolution":{"observed_at":"2026-05-11T05:51:11.052071Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2006.13039/citation-record","integrity":"/paper/2006.13039/integrity","json":"/paper/2006.13039/citation-record.json","paper":"/paper/2006.13039"},"outbound":[],"paper":{"arxiv_id":"2006.13039","last_updated":"2021-01-02T22:02:32Z","latest_version":5,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T09:31:56.096344Z","submitted_at":"2020-06-22T06:46:11Z","title":"D2P-Fed: Differentially Private Federated Learning With Efficient Communication"},"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 3 inbound Pith citation observations for arXiv:2006.13039."}