{"as_of":"2026-08-16T19:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f0151cb48ca8054aa1615de685a17825a0a193fcb0bfcacd2082e8ac660a1ac","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":"2026-08-16T06:30:59.297886+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":"2026-08-15T18:51:57.270639Z","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":"2026-08-15T16:55:45.356315Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.01630","last_updated":"2024-12-02T15:45:46Z","snapshot_observed_at":"2026-08-16T13:00:39.783687Z","submitted_at":"2024-12-02T15:45:46Z","title":"Review of Mathematical Optimization in Federated Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01630","snapshot_observed_at":"2026-08-15T18:51:57.270639Z","title":"Review of mathematical optimization in federated learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18525","last_updated":"2025-06-23T11:27:34Z","snapshot_observed_at":"2026-08-16T12:13:45.777416Z","submitted_at":"2025-06-23T11:27:34Z","title":"Federated Learning from Molecules to Processes: A Perspective","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T18:51:57.270639Z"},"links":{"cited_paper":"/paper/2412.01630","citing_paper":"/paper/2506.18525"},"observation_digest":"sha256:aa09244404fe5a0c0549526bffd3876488dc4479b34c50a6fc2f290fe6ede337","observation_id":"1e61194e-8744-405f-ad35-105b80c5fa4f","resolution":{"observed_at":"2026-08-15T18:51:57.270639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01630","last_updated":"2024-12-02T15:45:46Z","snapshot_observed_at":"2026-08-16T13:00:39.783687Z","submitted_at":"2024-12-02T15:45:46Z","title":"Review of Mathematical Optimization in Federated Learning","version":1},"cited_work":{"arxiv_id":"2412.01630","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.01630","snapshot_observed_at":"2026-08-15T16:55:45.356315Z","title":"Review of Mathematical Optimization in Federated Learning","venue":"cs.LG","work_id":"f63af648-df50-44d4-96ec-2426554c5f6d","year":2024},"citing_paper":{"arxiv_id":"2508.20290","last_updated":"2025-08-27T21:51:54Z","snapshot_observed_at":"2026-08-15T16:45:14.377463Z","submitted_at":"2025-08-27T21:51:54Z","title":"Objective Value Change and Shape-Based Accelerated Optimization for the Neural Network Approximation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T16:55:45.305830Z"},"links":{"cited_paper":"/paper/2412.01630","citing_paper":"/paper/2508.20290"},"observation_digest":"sha256:9a8713877f0999ef35f333ee78e80f118b9822af38c8f45a5099a15682b7cd22","observation_id":"fa135e27-2256-47ba-b417-10f485c4cf5c","resolution":{"observed_at":"2026-08-15T16:55:45.362369Z","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/2412.01630/citation-record","integrity":"/paper/2412.01630/integrity","json":"/paper/2412.01630/citation-record.json","paper":"/paper/2412.01630"},"outbound":[],"paper":{"arxiv_id":"2412.01630","last_updated":"2024-12-02T15:45:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:00:39.783687Z","submitted_at":"2024-12-02T15:45:46Z","title":"Review of Mathematical Optimization 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.01630."}