{"as_of":"2026-08-21T06:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61fd550e5342607aa9a3bd0a57f039df0275e85b3b1ea8ce451e6d34705677fe","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":"2026-08-20T06:33:59.587034+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":"2026-08-15T22:27:03.492242Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T17:38:43.815813Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.12685","last_updated":"2023-07-24T21:11:55Z","snapshot_observed_at":"2026-08-16T18:55:35.920323Z","submitted_at":"2023-02-24T15:21:39Z","title":"Active Membership Inference Attack under Local Differential Privacy in Federated Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12685","snapshot_observed_at":"2026-08-15T22:27:03.492242Z","title":"”Active Membership Inference Attack under Local Differential Privacy in Federated Learning” arXiv preprint arXiv:2302.12685 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07188","last_updated":"2025-05-12T02:36:50Z","snapshot_observed_at":"2026-08-16T13:40:52.293911Z","submitted_at":"2025-05-12T02:36:50Z","title":"Securing Genomic Data Against Inference Attacks in Federated Learning Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T22:27:03.492242Z"},"links":{"cited_paper":"/paper/2302.12685","citing_paper":"/paper/2505.07188"},"observation_digest":"sha256:1ae3a57dd4f608d3d385d34c917de0cdfcaace5328f7c1483ed9350c24055ff2","observation_id":"fdc98700-a9e2-48ad-bbfc-74f53f0ea80d","resolution":{"observed_at":"2026-08-15T22:27:03.492242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12685","last_updated":"2023-07-24T21:11:55Z","snapshot_observed_at":"2026-08-16T18:55:35.920323Z","submitted_at":"2023-02-24T15:21:39Z","title":"Active Membership Inference Attack under Local Differential Privacy in Federated Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12685","snapshot_observed_at":"2026-08-04T19:48:46.958742Z","title":"Active membership inference attack under local differential privacy in federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.09097","last_updated":"2025-09-11T02:16:34Z","snapshot_observed_at":"2026-08-18T20:32:36.837338Z","submitted_at":"2025-09-11T02:16:34Z","title":"DP-FedLoRA: Privacy-Enhanced Federated Fine-Tuning for On-Device Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T19:48:46.958742Z"},"links":{"cited_paper":"/paper/2302.12685","citing_paper":"/paper/2509.09097"},"observation_digest":"sha256:4bc33f7ad1c526c0fe047dc59aedbf5efa982aae2a762780381a5671417e4c23","observation_id":"8d73e190-9bee-42dd-afa1-907d9a5d0cc2","resolution":{"observed_at":"2026-08-04T19:48:46.958742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12685","last_updated":"2023-07-24T21:11:55Z","snapshot_observed_at":"2026-08-16T18:55:35.920323Z","submitted_at":"2023-02-24T15:21:39Z","title":"Active Membership Inference Attack under Local Differential Privacy in Federated Learning","version":2},"cited_work":{"arxiv_id":"2302.12685","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.12685","snapshot_observed_at":"2026-07-03T17:38:43.815813Z","title":null,"venue":null,"work_id":"ae12d02c-7441-41f2-a066-3cb961134a43","year":2023},"citing_paper":{"arxiv_id":"2606.17110","last_updated":"2026-06-15T07:04:01Z","snapshot_observed_at":"2026-08-05T23:11:05.452983Z","submitted_at":"2026-06-15T07:04:01Z","title":"Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-06-27T03:59:30.468854Z"},"links":{"cited_paper":"/paper/2302.12685","citing_paper":"/paper/2606.17110"},"observation_digest":"sha256:a7281016904f9a1196e70392691d9516901ebbba3d870862fca44f19e678b64a","observation_id":"ccdb1508-aabb-4911-9633-26359dc7875b","resolution":{"observed_at":"2026-07-03T17:38:43.817184Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.12685/citation-record","integrity":"/paper/2302.12685/integrity","json":"/paper/2302.12685/citation-record.json","paper":"/paper/2302.12685"},"outbound":[],"paper":{"arxiv_id":"2302.12685","last_updated":"2023-07-24T21:11:55Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T18:55:35.920323Z","submitted_at":"2023-02-24T15:21:39Z","title":"Active Membership Inference Attack under Local Differential Privacy 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.12685."}