{"as_of":"2026-08-15T01:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc9185bd3259d93953713adfa77db637b11d76d6b0c9a3208cfbe203268b1731","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:21:30.252738Z","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":"2026-08-11T00:16:15.729268Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.08343","last_updated":"2023-02-11T22:29:32Z","snapshot_observed_at":"2026-08-13T13:20:16.207931Z","submitted_at":"2022-12-16T08:37:24Z","title":"SplitGP: Achieving Both Generalization and Personalization in Federated Learning","version":2},"cited_work":{"arxiv_id":"2212.08343","doi":"10.48550/arxiv.2212.08343","metadata_source":"pith","pith_arxiv_id":"2212.08343","snapshot_observed_at":"2026-08-11T00:16:15.729268Z","title":"SplitGP: Achieving Both Generalization and Personalization in Federated Learning","venue":"cs.LG","work_id":"940c4750-fafb-4ce9-95aa-16eb6601d17f","year":2022},"citing_paper":{"arxiv_id":"2412.20946","last_updated":"2025-07-15T07:46:57Z","snapshot_observed_at":"2026-08-14T05:42:05.695760Z","submitted_at":"2024-12-30T13:38:31Z","title":"Generalising Battery Control in Net-Zero Buildings via Personalised Federated RL","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T23:21:30.252738Z"},"links":{"cited_paper":"/paper/2212.08343","citing_paper":"/paper/2412.20946"},"observation_digest":"sha256:ac8bc6382f22e0168b0396b4d162dde3b9388659e957c67e91aea3ab01ed33e1","observation_id":"45c83844-1ddf-408f-9a68-a44e96b5dc2a","resolution":{"observed_at":"2026-08-10T23:21:30.468546Z","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/2212.08343/citation-record","integrity":"/paper/2212.08343/integrity","json":"/paper/2212.08343/citation-record.json","paper":"/paper/2212.08343"},"outbound":[],"paper":{"arxiv_id":"2212.08343","last_updated":"2023-02-11T22:29:32Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T13:20:16.207931Z","submitted_at":"2022-12-16T08:37:24Z","title":"SplitGP: Achieving Both Generalization and Personalization 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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.08343."}