{"as_of":"2026-08-12T19:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:045913d06ed7d9a68d87cf36c18f9b85bcc775802368abda13ccf34582db346e","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T15:35:44.392724Z","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":"2026-08-11T15:35:44.832995Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.10379","last_updated":"2024-10-10T21:32:36Z","snapshot_observed_at":"2026-08-01T22:08:42.413570Z","submitted_at":"2023-10-16T13:20:13Z","title":"Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification","version":2},"cited_work":{"arxiv_id":"2310.10379","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.10379","snapshot_observed_at":"2026-08-11T15:35:44.832995Z","title":"Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification","venue":"cs.LG","work_id":"6711b6e7-cb85-4589-95b5-1f1906df3268","year":2023},"citing_paper":{"arxiv_id":"2412.10897","last_updated":"2024-12-25T09:58:16Z","snapshot_observed_at":"2026-08-12T07:35:50.745952Z","submitted_at":"2024-12-14T17:10:54Z","title":"Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T15:35:44.392724Z"},"links":{"cited_paper":"/paper/2310.10379","citing_paper":"/paper/2412.10897"},"observation_digest":"sha256:d88e1baff29c2a8d704be25e64a6ed61564941ec5f1023433f27d9a6467de040","observation_id":"53f3c408-5ea1-42ec-9bcf-402f72c414ba","resolution":{"observed_at":"2026-08-11T15:35:44.839546Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2310.10379/citation-record","integrity":"/paper/2310.10379/integrity","json":"/paper/2310.10379/citation-record.json","paper":"/paper/2310.10379"},"outbound":[],"paper":{"arxiv_id":"2310.10379","last_updated":"2024-10-10T21:32:36Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T22:08:42.413570Z","submitted_at":"2023-10-16T13:20:13Z","title":"Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification"},"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 1 inbound Pith citation observation for arXiv:2310.10379."}