{"as_of":"2026-08-08T12:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f3bed9ffdecc1449100f1d9ca7a663fcf2b6ecd3c4f5a1f443d96e84e23cb0f","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T13:45:03.835098Z","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":"2026-05-11T04:45:57.992833Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.15526","last_updated":"2024-05-04T18:49:50Z","snapshot_observed_at":"2026-08-05T16:29:59.562168Z","submitted_at":"2023-10-24T05:16:52Z","title":"Privacy Amplification for Matrix Mechanisms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.15526","snapshot_observed_at":"2026-08-04T13:45:03.835098Z","title":"Privacy amplification for matrix mechanisms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.25906","last_updated":"2026-05-29T15:06:03Z","snapshot_observed_at":"2026-08-04T13:44:59.284719Z","submitted_at":"2025-09-30T07:51:06Z","title":"Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T13:45:03.835098Z"},"links":{"cited_paper":"/paper/2310.15526","citing_paper":"/paper/2509.25906"},"observation_digest":"sha256:280e7257e123401543e946c739a816049852272c0953a49ad2e40942aefc315d","observation_id":"735b3317-01fb-4036-a5e3-0f742233cfaa","resolution":{"observed_at":"2026-08-04T13:45:03.835098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.15526","last_updated":"2024-05-04T18:49:50Z","snapshot_observed_at":"2026-08-05T16:29:59.562168Z","submitted_at":"2023-10-24T05:16:52Z","title":"Privacy Amplification for Matrix Mechanisms","version":2},"cited_work":{"arxiv_id":"2310.15526","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.15526","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A., Ganesh, A., Steinke, T., and Thakurta, A","venue":null,"work_id":"01dca054-4318-47d8-b4ea-c1e5d5ad95b6","year":2023},"citing_paper":{"arxiv_id":"2605.07072","last_updated":"2026-05-08T00:47:11Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T00:47:11Z","title":"Less Random, More Private: What is the Optimal Subsampling Scheme for DP-SGD?","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-05-11T01:06:21.633242Z"},"links":{"cited_paper":"/paper/2310.15526","citing_paper":"/paper/2605.07072"},"observation_digest":"sha256:b8e10fec79b0f3b1b641870ea2957debc55f72ba9bc9c8a814da367df5619b21","observation_id":"d0356c32-ab2c-49a3-adbc-731009af868a","resolution":{"observed_at":"2026-05-11T04:45:57.997697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.15526/citation-record","integrity":"/paper/2310.15526/integrity","json":"/paper/2310.15526/citation-record.json","paper":"/paper/2310.15526"},"outbound":[],"paper":{"arxiv_id":"2310.15526","last_updated":"2024-05-04T18:49:50Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T16:29:59.562168Z","submitted_at":"2023-10-24T05:16:52Z","title":"Privacy Amplification for Matrix Mechanisms"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.15526."}