{"as_of":"2026-08-16T21:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:689a48baacc734ff925bd88c9360cd5b8f585f1ba507c7221709afe7671cb73a","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":"2026-08-15T20:35:09.398221Z","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":"2026-08-14T12:25:20.486977Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.06040","last_updated":"2019-07-13T09:57:12Z","snapshot_observed_at":"2026-08-11T12:51:21.389441Z","submitted_at":"2019-07-13T09:57:12Z","title":"Energy-Efficient Radio Resource Allocation for Federated Edge Learning","version":1},"cited_work":{"arxiv_id":"1907.06040","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.06040","snapshot_observed_at":"2026-08-14T12:25:20.486977Z","title":"Energy-Efficient Radio Resource Allocation for Federated Edge Learning","venue":"cs.IT","work_id":"7a547888-d194-41f9-9c2e-566ddfc8926f","year":2019},"citing_paper":{"arxiv_id":"1908.07463","last_updated":"2019-08-20T16:03:23Z","snapshot_observed_at":"2026-08-16T09:43:06.125786Z","submitted_at":"2019-08-20T16:03:23Z","title":"On Analog Gradient Descent Learning over Multiple Access Fading Channels","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:25:19.772235Z"},"links":{"cited_paper":"/paper/1907.06040","citing_paper":"/paper/1908.07463"},"observation_digest":"sha256:c5e27fba80b8b26f11820b28678f9f8f6bec83deebac036661df814edebe2277","observation_id":"05154a4a-3052-42b4-8f03-74293b5a08e9","resolution":{"observed_at":"2026-08-14T12:25:20.497116Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06040","last_updated":"2019-07-13T09:57:12Z","snapshot_observed_at":"2026-08-11T12:51:21.389441Z","submitted_at":"2019-07-13T09:57:12Z","title":"Energy-Efficient Radio Resource Allocation for Federated Edge Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.06040","snapshot_observed_at":"2026-08-15T20:35:09.398221Z","title":"Leung, and Kaibin Huang","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.12523","last_updated":"2025-05-18T19:17:03Z","snapshot_observed_at":"2026-08-16T08:51:11.045078Z","submitted_at":"2025-05-18T19:17:03Z","title":"Energy-Aware Deep Learning on Resource-Constrained Hardware","version":1},"reference_index":186,"source":"pdf_text","source_observed_at":"2026-08-15T20:35:09.398221Z"},"links":{"cited_paper":"/paper/1907.06040","citing_paper":"/paper/2505.12523"},"observation_digest":"sha256:fb8b636c2523c885dfc3d605819224d1bcafd86332880b95c2a42bf81a57f4c8","observation_id":"b290cdda-7985-4569-92ee-507a92b60682","resolution":{"observed_at":"2026-08-15T20:35:09.398221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1907.06040/citation-record","integrity":"/paper/1907.06040/integrity","json":"/paper/1907.06040/citation-record.json","paper":"/paper/1907.06040"},"outbound":[],"paper":{"arxiv_id":"1907.06040","last_updated":"2019-07-13T09:57:12Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-11T12:51:21.389441Z","submitted_at":"2019-07-13T09:57:12Z","title":"Energy-Efficient Radio Resource Allocation for Federated Edge 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:1907.06040."}