{"as_of":"2026-08-09T14:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8a955a31b1df413779f758f23afebc525b770483d942403eb8bbda3c6d15ee6","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":"2026-08-09T06:31:02.800959+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":"2026-08-09T14:12:23.140936Z","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":"2026-08-09T14:12:31.667750Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1912.11464","last_updated":"2021-01-08T19:39:30Z","snapshot_observed_at":"2026-07-06T08:46:51.442550Z","submitted_at":"2019-12-24T18:42:00Z","title":"Attack-Resistant Federated Learning with Residual-based Reweighting","version":3},"cited_work":{"arxiv_id":"1912.11464","doi":null,"metadata_source":"pith","pith_arxiv_id":"1912.11464","snapshot_observed_at":"2026-08-09T14:12:31.667750Z","title":"Attack-Resistant Federated Learning with Residual-based Reweighting","venue":"cs.LG","work_id":"74b12618-140a-4ebe-a824-4c27f0ac1fc2","year":2019},"citing_paper":{"arxiv_id":"2502.05211","last_updated":"2025-02-03T23:14:02Z","snapshot_observed_at":"2026-08-09T14:06:01.336671Z","submitted_at":"2025-02-03T23:14:02Z","title":"Decoding FL Defenses: Systemization, Pitfalls, and Remedies","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T14:12:23.140936Z"},"links":{"cited_paper":"/paper/1912.11464","citing_paper":"/paper/2502.05211"},"observation_digest":"sha256:d404cbb71a543dd9fd31a8f775733d63b63b9238a7eaf75124c300d1478251a9","observation_id":"40b3fd0f-33e5-4d43-a92f-235244c3c06d","resolution":{"observed_at":"2026-08-09T14:12:31.672555Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.11464","last_updated":"2021-01-08T19:39:30Z","snapshot_observed_at":"2026-07-06T08:46:51.442550Z","submitted_at":"2019-12-24T18:42:00Z","title":"Attack-Resistant Federated Learning with Residual-based Reweighting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.11464","snapshot_observed_at":"2026-08-03T11:13:25.245695Z","title":"InProceedings of the 28th Annual Network and Distributed System Security Symposium (NDSS)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.07177","last_updated":"2026-05-30T03:59:22Z","snapshot_observed_at":"2026-08-08T11:27:58.983741Z","submitted_at":"2026-01-12T04:01:03Z","title":"Safe-FedLLM: Delving into the Safety of Federated Large Language Models","version":5},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-03T11:13:25.245695Z"},"links":{"cited_paper":"/paper/1912.11464","citing_paper":"/paper/2601.07177"},"observation_digest":"sha256:633c54e2bfc3aab689ace2fe64173a866ad8380e38f6b79e69046dfe97edd293","observation_id":"2e038d97-4e71-4d89-961f-4084bf7c576f","resolution":{"observed_at":"2026-08-03T11:13:25.245695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1912.11464/citation-record","integrity":"/paper/1912.11464/integrity","json":"/paper/1912.11464/citation-record.json","paper":"/paper/1912.11464"},"outbound":[],"paper":{"arxiv_id":"1912.11464","last_updated":"2021-01-08T19:39:30Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:46:51.442550Z","submitted_at":"2019-12-24T18:42:00Z","title":"Attack-Resistant Federated Learning with Residual-based Reweighting"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1912.11464."}