{"as_of":"2026-08-19T10:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21fcacf6343e0739c36d5f081a49fdad611ae14de8029c926eb8a390e82e9441","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:58:39.225256Z","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":"2026-07-11T01:57:52.198045Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.03311","last_updated":"2023-01-26T13:13:38Z","snapshot_observed_at":"2026-08-16T18:11:40.467413Z","submitted_at":"2021-07-07T15:42:49Z","title":"RoFL: Robustness of Secure Federated Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03311","snapshot_observed_at":"2026-08-10T20:58:39.225256Z","title":"Rofl: Attestable robustness for secure federated learning,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.06953","last_updated":"2025-01-12T22:14:45Z","snapshot_observed_at":"2026-08-16T13:21:24.328211Z","submitted_at":"2025-01-12T22:14:45Z","title":"ByzSFL: Achieving Byzantine-Robust Secure Federated Learning with Zero-Knowledge Proofs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:58:39.225256Z"},"links":{"cited_paper":"/paper/2107.03311","citing_paper":"/paper/2501.06953"},"observation_digest":"sha256:a7c57aad39c543711c5145e325c8d5d5710b1af95f85945bb81dcd8bdd999e8f","observation_id":"fb874f21-d696-40d4-9bcd-864e4857e548","resolution":{"observed_at":"2026-08-10T20:58:39.225256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03311","last_updated":"2023-01-26T13:13:38Z","snapshot_observed_at":"2026-08-16T18:11:40.467413Z","submitted_at":"2021-07-07T15:42:49Z","title":"RoFL: Robustness of Secure Federated Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03311","snapshot_observed_at":"2026-08-09T14:12:23.069585Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.05211","last_updated":"2025-02-03T23:14:02Z","snapshot_observed_at":"2026-08-13T18:12:50.040353Z","submitted_at":"2025-02-03T23:14:02Z","title":"Decoding FL Defenses: Systemization, Pitfalls, and Remedies","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T14:12:23.069585Z"},"links":{"cited_paper":"/paper/2107.03311","citing_paper":"/paper/2502.05211"},"observation_digest":"sha256:02c2be61a628ad28b74e6d0717218fe20cfac6af065fb2523b04dec9e7eab2de","observation_id":"0ac0c68c-fa66-4628-8f1b-8b03d389b2e9","resolution":{"observed_at":"2026-08-09T14:12:23.069585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03311","last_updated":"2023-01-26T13:13:38Z","snapshot_observed_at":"2026-08-16T18:11:40.467413Z","submitted_at":"2021-07-07T15:42:49Z","title":"RoFL: Robustness of Secure Federated Learning","version":4},"cited_work":{"arxiv_id":"2107.03311","doi":null,"metadata_source":"pith","pith_arxiv_id":"2107.03311","snapshot_observed_at":"2026-07-11T01:57:52.198045Z","title":"RoFL: Robustness of Secure Federated Learning","venue":"cs.CR","work_id":"a547f808-6208-48c9-a196-ed9516f0e56f","year":2021},"citing_paper":{"arxiv_id":"2607.06612","last_updated":"2026-07-07T07:10:43Z","snapshot_observed_at":"2026-08-12T18:29:30.656717Z","submitted_at":"2026-07-07T07:10:43Z","title":"PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-11T01:51:15.447661Z"},"links":{"cited_paper":"/paper/2107.03311","citing_paper":"/paper/2607.06612"},"observation_digest":"sha256:726215de0a1c9977ba21b7fc80669c85990e50f8411eb0e567cb8a7cde6e2742","observation_id":"d3e6dd31-7550-441a-8dbe-cc82b3d5d265","resolution":{"observed_at":"2026-07-11T01:57:52.223909Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.03311/citation-record","integrity":"/paper/2107.03311/integrity","json":"/paper/2107.03311/citation-record.json","paper":"/paper/2107.03311"},"outbound":[],"paper":{"arxiv_id":"2107.03311","last_updated":"2023-01-26T13:13:38Z","latest_version":4,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-16T18:11:40.467413Z","submitted_at":"2021-07-07T15:42:49Z","title":"RoFL: Robustness of Secure 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.03311."}