{"as_of":"2026-08-08T10:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1fcf401cbe59169ae9ad04d9f91038b53e5fe3ee404923a63f61fdda11788ed2","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T04:57:00.420534Z","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":"2026-05-20T23:49:15.075461Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.07505","last_updated":"2025-03-10T16:27:40Z","snapshot_observed_at":"2026-08-07T17:16:11.926169Z","submitted_at":"2025-03-10T16:27:40Z","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07505","snapshot_observed_at":"2026-08-07T04:57:00.420534Z","title":"From centralized to decentralized federated learning: Theoretical insights, privacy preservation, and ro- bustness challenges,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.09438","last_updated":"2025-06-11T06:44:34Z","snapshot_observed_at":"2026-08-07T04:45:48.372591Z","submitted_at":"2025-06-11T06:44:34Z","title":"Generalization Error Analysis for Attack-Free and Byzantine-Resilient Decentralized Learning with Data Heterogeneity","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:57:00.420534Z"},"links":{"cited_paper":"/paper/2503.07505","citing_paper":"/paper/2506.09438"},"observation_digest":"sha256:7ccc4163f928b2918faa721d4139cd15aa7d644b59f75bcb5f53e5600d80e1c9","observation_id":"dcce3753-ec04-4409-9ead-3e1e6fd5d5c7","resolution":{"observed_at":"2026-08-07T04:57:00.420534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07505","last_updated":"2025-03-10T16:27:40Z","snapshot_observed_at":"2026-08-07T17:16:11.926169Z","submitted_at":"2025-03-10T16:27:40Z","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.07505","snapshot_observed_at":"2026-08-05T11:02:17.477463Z","title":"https://doi.org/10.48550/arXiv.2503.07505","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.03427","last_updated":"2025-09-03T15:58:22Z","snapshot_observed_at":"2026-08-06T02:26:12.570872Z","submitted_at":"2025-09-03T15:58:22Z","title":"Federated Learning: An approach with Hybrid Homomorphic Encryption","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:02:17.477463Z"},"links":{"cited_paper":"/paper/2503.07505","citing_paper":"/paper/2509.03427"},"observation_digest":"sha256:c8b22d2ea80d51b6ce361bfa6ecbdcbe0d2f30251fb2418d926a2b787a8ab2a3","observation_id":"2e0e0b06-7209-4e81-a62f-e20050e41a2a","resolution":{"observed_at":"2026-08-05T11:02:17.477463Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07505","last_updated":"2025-03-10T16:27:40Z","snapshot_observed_at":"2026-08-07T17:16:11.926169Z","submitted_at":"2025-03-10T16:27:40Z","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges","version":1},"cited_work":{"arxiv_id":"2503.07505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07505","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From centralized to decentralized federated learning: Theoretical insights, privacy preservation, and robustness challenges.arXiv preprint arXiv:2503.07505","venue":null,"work_id":"1a79ae7e-713d-4135-906f-90447eb0fb88","year":null},"citing_paper":{"arxiv_id":"2604.20031","last_updated":"2026-05-16T21:05:11Z","snapshot_observed_at":"2026-07-06T23:06:35.507008Z","submitted_at":"2026-04-21T22:22:39Z","title":"Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T01:27:49.203891Z"},"links":{"cited_paper":"/paper/2503.07505","citing_paper":"/paper/2604.20031"},"observation_digest":"sha256:69bbf5aae4b865eeb9247fabe1b7434a66d12f75f0d2c376d0384eb12ac362a7","observation_id":"95465005-03ff-4abb-a418-65dcca8dabaa","resolution":{"observed_at":"2026-05-11T13:36:04.582974Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.07505","last_updated":"2025-03-10T16:27:40Z","snapshot_observed_at":"2026-08-07T17:16:11.926169Z","submitted_at":"2025-03-10T16:27:40Z","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges","version":1},"cited_work":{"arxiv_id":"2503.07505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.07505","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From centralized to decentralized federated learning: Theoretical insights, privacy preservation, and robustness challenges.arXiv preprint arXiv:2503.07505","venue":null,"work_id":"1a79ae7e-713d-4135-906f-90447eb0fb88","year":null},"citing_paper":{"arxiv_id":"2604.20031","last_updated":"2026-05-16T21:05:11Z","snapshot_observed_at":"2026-07-06T23:06:35.507008Z","submitted_at":"2026-04-21T22:22:39Z","title":"Decision-Focused Federated Learning Under Heterogeneous Objectives and Constraints","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T23:47:34.192789Z"},"links":{"cited_paper":"/paper/2503.07505","citing_paper":"/paper/2604.20031"},"observation_digest":"sha256:22208c18ab78497fd6693f095d19e241b9254877758a22be44bfc03affebd895","observation_id":"c3b99442-19ef-45d0-8c15-c51a3db2e636","resolution":{"observed_at":"2026-05-20T23:49:15.078546Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.07505/citation-record","integrity":"/paper/2503.07505/integrity","json":"/paper/2503.07505/citation-record.json","paper":"/paper/2503.07505"},"outbound":[],"paper":{"arxiv_id":"2503.07505","last_updated":"2025-03-10T16:27:40Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T17:16:11.926169Z","submitted_at":"2025-03-10T16:27:40Z","title":"From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.07505."}