{"as_of":"2026-08-19T08:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6be42e1d470f9379ed7453b443ac2f2e123d01922492fc58ad7d89c36dc6697c","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T01:24:34.410250Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.18384/citation-record","integrity":"/paper/2606.18384/integrity","json":"/paper/2606.18384/citation-record.json","paper":"/paper/2606.18384"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Federated learning design and functional models: Survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:84f410ab9747887fdfbbf5cfe3257b15e40bd15342b6bceef3cb14db9accd1a8","observation_id":"a717a326-decd-49d2-99bd-18f63eb059e4","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.19183","last_updated":"2025-06-10T07:52:44Z","snapshot_observed_at":"2026-08-13T13:43:57.845647Z","submitted_at":"2025-05-25T15:05:21Z","title":"Federated Learning: From Theory to Practice","version":2},"cited_work":{"arxiv_id":"2505.19183","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.19183","snapshot_observed_at":"2026-07-03T20:18:57.365298Z","title":"Federated learning: From theory to practice,","venue":null,"work_id":"22ce20b4-cdf1-4bb8-add9-22b702d5b9da","year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"cited_paper":"/paper/2505.19183","citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:7b901ce9d7608dc4045660e71e5afc5805bffcf0cb87c0568ca801660f40bec8","observation_id":"53295b83-a97f-42e8-b59e-874ea3a4f26f","resolution":{"observed_at":"2026-07-03T20:18:57.367762Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Spyker: Asynchronous multi-server federated learning for geo-distributed clients,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:fe8868cf5e04e1b29ae21c4ac92b47a5f53dcedb7deac57bc0536aaf95b611b9","observation_id":"d86b4eeb-8607-452b-8953-ca24111bb299","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Towards bilateral client selection in federated learning using matching game theory,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:0946dd2464c0946f289af25a1c304abadf512e773a092f7173c4db112f1d593e","observation_id":"59e9c323-7b7f-43ff-a4a6-9dad31d27c99","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Flight: A faas-based framework for complex and hierarchical federated learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:034c1c1793ccf6e347bb84f72588bc53804a473f5b1bd346a353e4b548099981","observation_id":"5b5db981-5a62-42c6-98b7-f6cba62622f5","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Client selection in federated learning: A dynamic matching-based incentive mechanism,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:f919950e8aede1075b72429c0a9a36063af8c934000f6490f3bb5ad5936cd375","observation_id":"dcbcb6cf-1412-4794-968e-f9c57e29738a","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Optimality and stability in federated learning: A game-theoretic approach,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:6407ef0af3de3ce6eda367f0f0ea77dad1e39af5cf5fe7228fa82fbc58b5d602","observation_id":"47185981-698c-493f-ba7e-200fdc6a17e4","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Bichler,Market design: a linear programming approach to auctions and matching","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:2dd006de9c2e40158e8885db02d28034bd1cb9b79cb28f253e3c5962de2975a9","observation_id":"41c77cd1-c26f-4dcb-b13a-1ce656c342ef","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Haeringer,Market design: auctions and matching","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:6c594b100bdc36b691f1726f5118c228bd5c7c7c1c3e25fa86027ffa57b13dcb","observation_id":"508c5ba3-a37a-4491-84e3-0c1944d4e59d","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Federated learning using game strategies: State- of-the-art and future trends,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:697a4e353a68de3e210672f123e0f8a7f10423442164abb076a8f9a4c0e90ab5","observation_id":"b677e8f7-ef39-46e6-a94c-c55fcdb13f86","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"A systematic review of federated learning incentive mechanisms and associated security challenges,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:d66130b3ad54d1d242ff53bce205013e1d611bf0bc1ba2f090e1e2a662b8c84a","observation_id":"55a9bb92-3fc3-4dc4-bfbd-9256c4036378","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Profit allocation for federated learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:13e33afe7d013a4722edd82af53a5d11210f44eb94c0eb8bf35d6f39b8ae9f90","observation_id":"4e8ef0c3-7523-458b-9774-9ea8720039c7","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Block-racs: Towards reputation- aware client selection and monetization mechanism for federated learn- ing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:cccb0223d9107d8b7142163558e1329315c3699f7daa1df45e8d519a212263c9","observation_id":"8940868a-f004-427b-884f-adf02ccc5f59","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Participant selection for hierar- chical federated learning in edge clouds,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:898b8f3aed6b4b6151f92b1fa383a479c5d033f1fa66d139770e3b12151469d3","observation_id":"1955f432-6a7a-4fea-8513-75bcd156fe9f","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"School choice: A mechanism design approach,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:d0ac54bf894d0d7cc5fbcc8f96b784c2f0232a581de84dd6f621b95ce6987bd8","observation_id":"621750e8-0c82-4cdd-9e08-64a14b27cd7f","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Robust minimal instability of the top trad- ing cycles mechanism,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:f651a01b8cdc698dd7cf7fe0bb1358bc990334ac1cc3eb37af7aa0ec79dc4792","observation_id":"8574f61f-364a-409e-be02-198490854baf","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"An efficient algorithm for the “optimal","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:c3d60819a3ee14f9b2478d9d447e6fb073c9a6ab36c34638866dc297c46a94b1","observation_id":"9f9af2c0-f86f-412c-ad7f-46834e8ad082","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"A comprehensive survey on client selection strategies in federated learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:9641f6b696c0132fc2a9a833324796c381d2835b64b405f8751199e490433548","observation_id":"e4fdf37d-7d0c-4f40-a86a-82b211953894","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Fairness-aware client selection for federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:ff7bfbadc38ae34970dd1c04185a3e847cf86053e478b408ba66481b5c6bd550","observation_id":"48555158-8841-42e5-8554-7f3f5f83f583","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Client selection in federated learning based on gradients importance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:917fe8b375a8cc6e4549a4da9ff177d402a02a511632b2cc7f08f51d352d37f3","observation_id":"98407e2f-bae1-471c-9af9-16412e8d43ed","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Deep-reinforcement-learning-assisted client selection in nonorthogonal- multiple-access-based federated learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:9df2cff39440555261df46aceed8309441a8fc6dd01af3a9cb76ad8dfe25c808","observation_id":"bcefa37e-48e9-47c1-91f4-576b3e73aa29","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Towards mutual trust-based matching for federated learn- ing client selection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:298b9e37b84fcc36377ee2f59ddce72ca9d6a450f7bf8a7a0bd7f28a3e656642","observation_id":"f7bc4428-1e45-4e87-a09e-d552f977e204","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Context-aware online client selection for hierarchical federated learning,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:42903bd52ef52287d4f4374633f458af4732bb69553ad8ab7909046d87814cda","observation_id":"f4fedd94-3d1d-4d56-bb27-69cc12c48d51","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Incentivized federated learning: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:594ff4aa1ac64e3538680fb61259bb6d79fbfe673c1607db3b3441b4ed9f3774","observation_id":"25f75f31-0935-4f82-b53d-aaf0ce921a0c","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Dualgfl: Federated learning with a dual-level coalition-auction game,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:61dc02aec47eb3fbf87cf5dc6c6e374bbd692bffc5efb518ce4f44b8b002d6f3","observation_id":"daee55c3-6072-4c58-8050-7b704a51afa2","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Resource allocation and pricing for multi-server multi-model federated learning based on market equilibrium,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:f92429f59850b161f0cab63ab75e0fb432a1742da47ff94701331df558dea965","observation_id":"93781739-e534-4b1b-a02e-45f6ea27c8d9","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Multi-uav-assisted federated learning for energy-aware distributed edge training,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:d3688eccd2a2c08ac1e5f5d08d89a80e01099b2dea3ae7c8bea682b95557ce27","observation_id":"f80eb076-c36c-482e-81a9-e8de7aafec90","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Hierarchical federated learning in multi-hop cluster-based vanets,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:652b863167e2c1059fde7f66fee005085523656210de523dd340b26afb37b220","observation_id":"719d6997-4970-4b31-b85e-731bce47c6a8","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Hierarchical federated learning with momentum acceleration in multi-tier networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:2ab4fba54065e67a27bf467f0246500b0064bb6136021dce9c4a3a158cca8a51","observation_id":"e37f3eb1-9901-4946-8249-868295e5a846","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Blockchain-empowered federated learning: Benefits, challenges, and solutions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:84fcf10a304f2514076fb77849a415245d62a8c321e57b446a6c6a5424db5e22","observation_id":"aa8cdee5-7631-446f-8e65-c6f6abf65604","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Decentralized federated learning based on blockchain: concepts, framework, and challenges,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:83ed7c2e3fd66708f39ff2c452f734f3d82b2f64e523e3f4c7e89295bed0a430","observation_id":"684833a7-0c9c-4c2b-ba4a-dcd45cd4e011","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Adapting security and decen- tralized knowledge enhancement in federated learning using blockchain technology: literature review,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:8d7113f24585d46cc7a9fed67b98eacac8529547a21f73af521de971d4fa7406","observation_id":"6077600d-a575-476e-8c2f-ec0128d7442c","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Blockchain-based framework for scalable and incentivized federated learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:1c8eac84c54759ed7c4f8febc66033719fbddad8cb4a46b0f5cf768ced9a93a3","observation_id":"3023b06d-8088-4d70-a7bd-ebce8a4804e3","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"An efficient blockchain assisted reputation aware decentralized federated learning framework,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:ba69e47f558523275e20ff690a3294473453e0b6739bdb3f1e8e89bfeb991fed","observation_id":"c449da49-717d-48de-8b93-59c01d682f82","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Flwrbc: Incentive mechanism design for federated learning by using blockchain,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:e38cc210d2b599e1e107c912ffa1e89f299c3828abdef03da7db3fae9bee170f","observation_id":"aaadd575-1f1b-4859-b81e-a425eeca4456","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"A multi-center federated learning mechanism based on consortium blockchain for data secure sharing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:aa4f44cc43d9753ac6ffac6038bf8b178ca5d6a9018480aa05c3e583df7ed034","observation_id":"6f4a339c-32a0-49b2-8644-3c884bcc9052","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Client-edge-cloud hierarchical federated learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:d8ef48f4c675804c10feb95391311acade8099fe73eda8648402c92eccd1f2ea","observation_id":"489a5227-ca6f-4552-8855-539399797754","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"A review of blockchain platforms based on the scalability, security and decentralization trilemma","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:f2257a3c748f5ccfa62035fec3048a01ce1663caf5939f4d8f88037da00d3a8b","observation_id":"bb0e8844-7f1f-4b89-9745-a16e9d870994","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Improved trustchain for lightweight devices,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:3d94e28d6b970d6f6bdce40f48a6a9d5ce2e57e50b0e543ee3fe360bbdd72801","observation_id":"906b51a9-386f-4f6b-ae5f-3df784603923","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"On the suitability of improved trustchain for smartphones","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:9ddb4ef9e43a9527d6387214e83a9f7560ded08cc15256dea2418e4b609948af","observation_id":"97ec8f1f-0da0-4d92-addc-cfb264c6a9c2","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Kurtosis github page,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:a55847a5b5f23bd334f055a5b95a3a311c8c449ab92457587c83d833cbd43b20","observation_id":"833eb901-0ca5-4d87-9de8-75fa50fa3e91","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Cifar-10 dataset,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:c193d773120cb30a6f64e65c90ef9dc2b598e37a41beadd4237561a77e6ec52c","observation_id":"7e16f455-1639-4e68-87dd-c3bcc23669b8","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07747","last_updated":"2017-09-15T21:29:49Z","snapshot_observed_at":"2026-08-13T15:13:33.081929Z","submitted_at":"2017-08-25T14:01:29Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","version":2},"cited_work":{"arxiv_id":"1708.07747","doi":"10.48550/arxiv.1708.07747","metadata_source":"pith","pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms","venue":"cs.LG","work_id":"6714d44f-1b5e-4141-9450-ea09a7e724b0","year":2017},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:7a73389a3485c8fcf6ef5323e5083470f16f30942f7608b589fda38728518c76","observation_id":"f537c4ec-10f8-4b77-a53e-5e87a35d375f","resolution":{"observed_at":"2026-07-03T20:18:57.365212Z","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":"2026-07-20T21:22:08.866034+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-20T21:22:08.866034+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Deferred acceptance algorithms: History, theory, practice, and open questions,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:fbb6af3e826d60111e76680b2be62258deca68be41fb4c4fb897936a4ceb3874","observation_id":"cbd9b2f3-c62c-49ca-991c-56991e970d10","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"A school choice compromise: between immediate and deferred acceptance,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:6ad64ecd36f21fd542b47962b1135444c9380b80d08552177509bc53fca95488","observation_id":"084cdf8b-1d36-4b12-888d-da4d1f9463ae","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-27T01:24:34.410250Z","title":"Ethereum: A secure decentralised generalised trans- action ledger shanghai version,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-27T01:24:34.410250Z"},"links":{"citing_paper":"/paper/2606.18384"},"observation_digest":"sha256:056452b3ed54339e116414ed3a749c7631fbe9abe47f8bda5a9f46047c23eb91","observation_id":"31b9f869-fee7-40ee-a9a1-ce710729181e","resolution":{"observed_at":"2026-06-27T01:24:34.410250Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.18384","last_updated":"2026-06-16T18:28:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T08:25:52.080321Z","submitted_at":"2026-06-16T18:28:36Z","title":"SCOPE-FL: A Strategy-proof Chain-based Optimal pareto efficient Federated Learning System"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":46},"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 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2606.18384."}