{"as_of":"2026-08-17T04:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9067b5564ece9a6eae1471e8a8a10b60bb48881ae56e82f8c09c8a4cbec504c4","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":"2026-08-16T06:30:59.297886+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":"2026-08-12T13:37:19.102203Z","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":"2026-08-06T22:50:21.725735Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.06750","last_updated":"2023-11-12T06:32:30Z","snapshot_observed_at":"2026-08-16T14:44:04.417681Z","submitted_at":"2023-11-12T06:32:30Z","title":"Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06750","snapshot_observed_at":"2026-08-12T13:37:19.102203Z","title":"Federated learning for generalization, robustness, fairness: A survey and benchmark,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.16099","last_updated":"2024-11-25T05:21:12Z","snapshot_observed_at":"2026-08-16T10:26:33.932703Z","submitted_at":"2024-11-25T05:21:12Z","title":"An Empirical Study of Vulnerability Detection using Federated Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:37:19.102203Z"},"links":{"cited_paper":"/paper/2311.06750","citing_paper":"/paper/2411.16099"},"observation_digest":"sha256:f506e6f32f15aeda408e5fb3f0db92d29209e29dc244d1baff2b6270898973f0","observation_id":"82024759-618d-456e-bd9f-c0772cb4ed0e","resolution":{"observed_at":"2026-08-12T13:37:19.102203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06750","last_updated":"2023-11-12T06:32:30Z","snapshot_observed_at":"2026-08-16T14:44:04.417681Z","submitted_at":"2023-11-12T06:32:30Z","title":"Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.06750","snapshot_observed_at":"2026-08-10T16:58:40.749681Z","title":"Federated learning for generaliza- tion, robustness, fairness: A survey and benchmark,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.13967","last_updated":"2025-01-27T07:48:49Z","snapshot_observed_at":"2026-08-17T03:03:13.455129Z","submitted_at":"2025-01-22T07:08:45Z","title":"FedDAG: Federated Domain Adversarial Generation Towards Generalizable Medical Image Analysis","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T16:58:40.749681Z"},"links":{"cited_paper":"/paper/2311.06750","citing_paper":"/paper/2501.13967"},"observation_digest":"sha256:72674e4ff772b856ef5fda0b214579ad730ecad378cfca771b72692ffc21b527","observation_id":"ac2f43f4-3aee-4ca6-b514-907076ba0280","resolution":{"observed_at":"2026-08-10T16:58:40.749681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.06750","last_updated":"2023-11-12T06:32:30Z","snapshot_observed_at":"2026-08-16T14:44:04.417681Z","submitted_at":"2023-11-12T06:32:30Z","title":"Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark","version":1},"cited_work":{"arxiv_id":"2311.06750","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.06750","snapshot_observed_at":"2026-08-06T22:50:21.725735Z","title":"Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark","venue":"cs.LG","work_id":"844af8bc-cc03-41a1-a6f3-07e3976c80f2","year":2023},"citing_paper":{"arxiv_id":"2506.20518","last_updated":"2025-06-25T15:05:01Z","snapshot_observed_at":"2026-08-13T15:35:35.576110Z","submitted_at":"2025-06-25T15:05:01Z","title":"WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:50:19.745326Z"},"links":{"cited_paper":"/paper/2311.06750","citing_paper":"/paper/2506.20518"},"observation_digest":"sha256:bb756c6f18e7e84e974724cce3ad854264478c4d4a2dc90b7570cc8e7356da71","observation_id":"e9e42801-da69-466e-b658-ead3b35d766e","resolution":{"observed_at":"2026-08-06T22:50:21.729326Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.06750/citation-record","integrity":"/paper/2311.06750/integrity","json":"/paper/2311.06750/citation-record.json","paper":"/paper/2311.06750"},"outbound":[],"paper":{"arxiv_id":"2311.06750","last_updated":"2023-11-12T06:32:30Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:44:04.417681Z","submitted_at":"2023-11-12T06:32:30Z","title":"Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.06750."}