{"as_of":"2026-08-12T10:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7afc863c64d3289d56f2c50056cfc649609277b979f19ca9143149bf9d1423f6","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T21:02:18.264419Z","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":"2026-05-24T06:49:02.161420Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.02894","last_updated":"2023-05-04T15:02:09Z","snapshot_observed_at":"2026-07-06T15:23:17.840764Z","submitted_at":"2023-05-04T15:02:09Z","title":"FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization","version":1},"cited_work":{"arxiv_id":"2305.02894","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.02894","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"8caf2ab1-019f-4c33-a38a-53d5b507f8a6","year":2023},"citing_paper":{"arxiv_id":"2310.16610","last_updated":"2024-02-12T10:23:19Z","snapshot_observed_at":"2026-08-03T04:48:18.387477Z","submitted_at":"2023-10-25T13:07:34Z","title":"Consensus-Based Optimization with Truncated Noise","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-24T06:46:46.991269Z"},"links":{"cited_paper":"/paper/2305.02894","citing_paper":"/paper/2310.16610"},"observation_digest":"sha256:ca9a112670ad293ea3032e03761441e4e08e37770ebf27e12c0a2b38003efdd0","observation_id":"b23c773b-5323-4c9e-af5e-75af992315ad","resolution":{"observed_at":"2026-05-24T06:49:02.164199Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02894","last_updated":"2023-05-04T15:02:09Z","snapshot_observed_at":"2026-07-06T15:23:17.840764Z","submitted_at":"2023-05-04T15:02:09Z","title":"FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02894","snapshot_observed_at":"2026-08-10T21:02:18.264419Z","title":"arXiv preprint arXiv: 2305.02894 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.06804","last_updated":"2025-01-12T12:56:06Z","snapshot_observed_at":"2026-08-11T17:08:14.286880Z","submitted_at":"2025-01-12T12:56:06Z","title":"A Smoothing Consensus-Based Optimization Algorithm for Nonsmooth Nonconvex Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:02:18.264419Z"},"links":{"cited_paper":"/paper/2305.02894","citing_paper":"/paper/2501.06804"},"observation_digest":"sha256:071c2ec4f3f5dd2b634dc099d9e237f9a5868c7b48870137479ca4118327c406","observation_id":"eddbaf8f-842a-4bfe-b743-0ec5997b3274","resolution":{"observed_at":"2026-08-10T21:02:18.264419Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.02894/citation-record","integrity":"/paper/2305.02894/integrity","json":"/paper/2305.02894/citation-record.json","paper":"/paper/2305.02894"},"outbound":[],"paper":{"arxiv_id":"2305.02894","last_updated":"2023-05-04T15:02:09Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T15:23:17.840764Z","submitted_at":"2023-05-04T15:02:09Z","title":"FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.02894."}