{"as_of":"2026-08-14T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7ce6886bc34f545744430ce67c75ac6d7ddc1599b2b7a0c66fe0b7188dbe486","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":"2026-08-14T06:32:32.682623+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":"2026-08-11T18:06:13.012111Z","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":"2026-08-05T18:34:18.752882Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.03824","last_updated":"2023-06-06T16:12:35Z","snapshot_observed_at":"2026-08-13T11:23:16.927807Z","submitted_at":"2023-06-06T16:12:35Z","title":"Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.03824","snapshot_observed_at":"2026-08-11T18:06:13.012111Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.08282","last_updated":"2024-12-19T06:35:21Z","snapshot_observed_at":"2026-08-13T09:26:15.735994Z","submitted_at":"2024-12-11T10:57:16Z","title":"How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T18:06:13.012111Z"},"links":{"cited_paper":"/paper/2306.03824","citing_paper":"/paper/2412.08282"},"observation_digest":"sha256:efe6d1f1b0e02ef15d39c4d937710b400ff5f4c91b1735ee25fabc524ef245fa","observation_id":"1f279a58-2ada-482a-b9a4-324df45c1968","resolution":{"observed_at":"2026-08-11T18:06:13.012111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.03824","last_updated":"2023-06-06T16:12:35Z","snapshot_observed_at":"2026-08-13T11:23:16.927807Z","submitted_at":"2023-06-06T16:12:35Z","title":"Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters","version":1},"cited_work":{"arxiv_id":"2306.03824","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.03824","snapshot_observed_at":"2026-08-05T18:34:18.752882Z","title":"Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters","venue":"cs.LG","work_id":"208a2124-0150-4ad9-9066-4559ec829011","year":2023},"citing_paper":{"arxiv_id":"2508.14539","last_updated":"2025-08-20T08:42:34Z","snapshot_observed_at":"2026-08-13T02:54:16.078361Z","submitted_at":"2025-08-20T08:42:34Z","title":"FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T18:34:16.748343Z"},"links":{"cited_paper":"/paper/2306.03824","citing_paper":"/paper/2508.14539"},"observation_digest":"sha256:f09699334646d9ebf414b5b9d453c20a856cfdc8f65749b4faa9b787ec46a1ef","observation_id":"6a72657a-1331-4fd4-aca6-6c2025ecc79f","resolution":{"observed_at":"2026-08-05T18:34:18.896031Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2306.03824/citation-record","integrity":"/paper/2306.03824/integrity","json":"/paper/2306.03824/citation-record.json","paper":"/paper/2306.03824"},"outbound":[],"paper":{"arxiv_id":"2306.03824","last_updated":"2023-06-06T16:12:35Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T11:23:16.927807Z","submitted_at":"2023-06-06T16:12:35Z","title":"Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.03824."}