{"as_of":"2026-08-05T21:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22d1064f5fa0a72b6b884b39e7d7a56db4433e4041fb2692cbb927e295bbba7d","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":"2026-08-05T06:32:48.257954+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":"2026-08-03T20:29:49.667652Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2104.08815","last_updated":"2022-05-06T10:05:52Z","snapshot_observed_at":"2026-07-06T11:01:05.577957Z","submitted_at":"2021-04-18T11:04:49Z","title":"FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08815","snapshot_observed_at":"2026-08-03T20:29:49.667652Z","title":"Fednlp: Bench- marking federated learning methods for natural language processing tasks.arXiv preprint arXiv:2104.08815, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.19959","last_updated":"2026-06-02T00:32:45Z","snapshot_observed_at":"2026-08-03T21:43:59.986677Z","submitted_at":"2025-11-25T06:09:21Z","title":"ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T20:29:49.667652Z"},"links":{"cited_paper":"/paper/2104.08815","citing_paper":"/paper/2511.19959"},"observation_digest":"sha256:3b8fc94e9b89002af51ad26582691682dcd3af5f620d3b27a02d530f43a4b6e7","observation_id":"8e3bd760-66a7-4a21-aa39-277c33f84980","resolution":{"observed_at":"2026-08-03T20:29:49.667652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2104.08815/citation-record","integrity":"/paper/2104.08815/integrity","json":"/paper/2104.08815/citation-record.json","paper":"/paper/2104.08815"},"outbound":[],"paper":{"arxiv_id":"2104.08815","last_updated":"2022-05-06T10:05:52Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T11:01:05.577957Z","submitted_at":"2021-04-18T11:04:49Z","title":"FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2104.08815."}