{"as_of":"2026-08-09T22:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42aea136be06bde5e1fd5542ad8d94ee3f8caa46ec23ba84dda96144e0ea8aa7","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":"2026-08-08T15:08:46.291046Z","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":"2026-05-18T19:11:46.626494Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.11913","last_updated":"2023-06-20T21:54:13Z","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11913","snapshot_observed_at":"2026-08-08T15:08:46.291046Z","title":"Randomized quantization is all you need for differential privacy in federated learning, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06567","last_updated":"2026-05-26T13:17:29Z","snapshot_observed_at":"2026-08-09T16:12:40.050000Z","submitted_at":"2025-02-10T15:34:42Z","title":"Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T15:08:46.291046Z"},"links":{"cited_paper":"/paper/2306.11913","citing_paper":"/paper/2502.06567"},"observation_digest":"sha256:213f8fbbb55636ea33d7b717dc40fcde95cf5235757c47cce925213e430ac219","observation_id":"5e237a08-681d-45cb-ae0b-70ace625d620","resolution":{"observed_at":"2026-08-08T15:08:46.291046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11913","last_updated":"2023-06-20T21:54:13Z","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11913","snapshot_observed_at":"2026-08-06T21:08:28.698580Z","title":"Randomized quantization is all you need for differential privacy in federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00920","last_updated":"2025-07-03T01:49:31Z","snapshot_observed_at":"2026-08-08T06:50:03.270678Z","submitted_at":"2025-07-01T16:26:20Z","title":"Privacy-Preserving Quantized Federated Learning with Diverse Precision","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:08:28.698580Z"},"links":{"cited_paper":"/paper/2306.11913","citing_paper":"/paper/2507.00920"},"observation_digest":"sha256:ebcd15e46395ed32fbf9390753e833c1b875de952b38e4e906a401d1452a9290","observation_id":"19c604ce-9ba2-40a9-8787-16f2d3dcac4e","resolution":{"observed_at":"2026-08-06T21:08:28.698580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11913","last_updated":"2023-06-20T21:54:13Z","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11913","snapshot_observed_at":"2026-08-06T20:10:57.412445Z","title":"Randomized quantization is all you need for differential privacy in federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.03973","last_updated":"2025-07-05T09:44:05Z","snapshot_observed_at":"2026-08-09T16:12:49.108872Z","submitted_at":"2025-07-05T09:44:05Z","title":"One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:10:57.412445Z"},"links":{"cited_paper":"/paper/2306.11913","citing_paper":"/paper/2507.03973"},"observation_digest":"sha256:11dfab4156519415943408d992b5a260bc3d74d62603a1e017ee23fd41bea255","observation_id":"c68631fb-2acb-4b8d-9d42-750d7da28d27","resolution":{"observed_at":"2026-08-06T20:10:57.412445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11913","last_updated":"2023-06-20T21:54:13Z","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in Federated Learning","version":1},"cited_work":{"arxiv_id":"2306.11913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.11913","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Randomized quantization is all you need for differential privacy in federated learning","venue":null,"work_id":"8d9ed719-3a6c-48d8-b8ff-fe319e460626","year":2023},"citing_paper":{"arxiv_id":"2509.03472","last_updated":"2026-04-15T20:18:20Z","snapshot_observed_at":"2026-07-06T22:23:00.681940Z","submitted_at":"2025-09-03T16:51:26Z","title":"DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-18T19:09:04.217591Z"},"links":{"cited_paper":"/paper/2306.11913","citing_paper":"/paper/2509.03472"},"observation_digest":"sha256:63044994ee2391a3230024092ccd75d46bffb4f662d416f2b2068a5ca46a0c88","observation_id":"c8f3f913-1e9a-4ddf-96ba-78af662b5c17","resolution":{"observed_at":"2026-05-18T19:11:46.628918Z","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":"2306.11913","last_updated":"2023-06-20T21:54:13Z","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in Federated Learning","version":1},"cited_work":{"arxiv_id":"2306.11913","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2306.11913","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Randomized quantization is all you need for differential privacy in federated learning","venue":null,"work_id":"8d9ed719-3a6c-48d8-b8ff-fe319e460626","year":2023},"citing_paper":{"arxiv_id":"2604.23426","last_updated":"2026-04-25T19:43:05Z","snapshot_observed_at":"2026-07-06T23:09:38.799345Z","submitted_at":"2026-04-25T19:43:05Z","title":"Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-08T08:24:14.745888Z"},"links":{"cited_paper":"/paper/2306.11913","citing_paper":"/paper/2604.23426"},"observation_digest":"sha256:2c8477abd4bb8e8ffa57d7562450edb1f274ab20ab21d7225994e3bcca31cf84","observation_id":"4ce6f523-96aa-4dce-8c86-0fa34acf130c","resolution":{"observed_at":"2026-05-11T20:41:09.453628Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2306.11913/citation-record","integrity":"/paper/2306.11913/integrity","json":"/paper/2306.11913/citation-record.json","paper":"/paper/2306.11913"},"outbound":[],"paper":{"arxiv_id":"2306.11913","last_updated":"2023-06-20T21:54:13Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T16:12:26.909748Z","submitted_at":"2023-06-20T21:54:13Z","title":"Randomized Quantization is All You Need for Differential Privacy in 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:2306.11913."}