{"as_of":"2026-08-12T14:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5af638a2b4bd87da0473ed38825b9722b720540bae31e100dbfe5345a6b9f0b5","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:02:01.865031Z","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":"2026-05-24T02:03:44.395929Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.05125","last_updated":"2019-09-11T15:19:36Z","snapshot_observed_at":"2026-08-09T18:17:36.382771Z","submitted_at":"2019-09-11T15:19:36Z","title":"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging","version":1},"cited_work":{"arxiv_id":"1909.05125","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.05125","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Byzantine-robust federated machine learning through adaptive model averaging","venue":null,"work_id":"84489b48-3414-48a9-b628-ad775a8d1b70","year":1909},"citing_paper":{"arxiv_id":"2404.06230","last_updated":"2026-05-06T09:49:09Z","snapshot_observed_at":"2026-08-05T04:23:33.164735Z","submitted_at":"2024-04-09T11:42:32Z","title":"Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-24T02:01:08.959453Z"},"links":{"cited_paper":"/paper/1909.05125","citing_paper":"/paper/2404.06230"},"observation_digest":"sha256:310558ad401ad9184e9d9bc46500d8ff74318faccb6a384f900eb48d28970605","observation_id":"58a16f11-b0fc-49db-8c89-47606245bed0","resolution":{"observed_at":"2026-05-24T02:03:44.399249Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.05125","last_updated":"2019-09-11T15:19:36Z","snapshot_observed_at":"2026-08-09T18:17:36.382771Z","submitted_at":"2019-09-11T15:19:36Z","title":"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.05125","snapshot_observed_at":"2026-08-10T21:02:01.865031Z","title":"Co, and Emil C","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2501.06650","last_updated":"2025-02-24T05:31:25Z","snapshot_observed_at":"2026-08-10T21:15:29.368518Z","submitted_at":"2025-01-11T22:20:20Z","title":"SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T21:02:01.865031Z"},"links":{"cited_paper":"/paper/1909.05125","citing_paper":"/paper/2501.06650"},"observation_digest":"sha256:92524a45bed87a9f4145cb14a5f25b7c420dbbcd583429b6c8e847ce6db3efe1","observation_id":"0e8a345a-7903-411e-8ca1-24fc9a710214","resolution":{"observed_at":"2026-08-10T21:02:01.865031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.05125","last_updated":"2019-09-11T15:19:36Z","snapshot_observed_at":"2026-08-09T18:17:36.382771Z","submitted_at":"2019-09-11T15:19:36Z","title":"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging","version":1},"cited_work":{"arxiv_id":"1909.05125","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.05125","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Byzantine-robust federated machine learning through adaptive model averaging","venue":null,"work_id":"84489b48-3414-48a9-b628-ad775a8d1b70","year":1909},"citing_paper":{"arxiv_id":"2604.03862","last_updated":"2026-04-04T21:03:19Z","snapshot_observed_at":"2026-08-03T21:59:17.259946Z","submitted_at":"2026-04-04T21:03:19Z","title":"SecureAFL: Secure Asynchronous Federated Learning","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-13T16:55:09.736811Z"},"links":{"cited_paper":"/paper/1909.05125","citing_paper":"/paper/2604.03862"},"observation_digest":"sha256:19e641374929c70f8881148974db255e24b082b15942373b2bebfb6b1a05aa9b","observation_id":"9328c595-1c1d-407f-8b0b-ab0aa7098d90","resolution":{"observed_at":"2026-05-13T17:08:01.673376Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.05125","last_updated":"2019-09-11T15:19:36Z","snapshot_observed_at":"2026-08-09T18:17:36.382771Z","submitted_at":"2019-09-11T15:19:36Z","title":"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging","version":1},"cited_work":{"arxiv_id":"1909.05125","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1909.05125","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Byzantine-robust federated machine learning through adaptive model averaging","venue":null,"work_id":"84489b48-3414-48a9-b628-ad775a8d1b70","year":1909},"citing_paper":{"arxiv_id":"2604.27434","last_updated":"2026-04-30T05:18:44Z","snapshot_observed_at":"2026-08-10T11:40:42.377152Z","submitted_at":"2026-04-30T05:18:44Z","title":"AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-07T10:26:19.049908Z"},"links":{"cited_paper":"/paper/1909.05125","citing_paper":"/paper/2604.27434"},"observation_digest":"sha256:629a431591de66ea0f7165f6ed3132f73c3e05ddf47ccfeea0b1984da6b0620d","observation_id":"0022eb10-2b32-41d1-b402-33a1f36125f4","resolution":{"observed_at":"2026-05-12T09:36:26.301635Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1909.05125/citation-record","integrity":"/paper/1909.05125/integrity","json":"/paper/1909.05125/citation-record.json","paper":"/paper/1909.05125"},"outbound":[],"paper":{"arxiv_id":"1909.05125","last_updated":"2019-09-11T15:19:36Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T18:17:36.382771Z","submitted_at":"2019-09-11T15:19:36Z","title":"Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.05125."}