{"as_of":"2026-08-20T19:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:276c1fe13bdbe49d2855c0dd5911b70a58d395b3775fce5ffd37f5a04af9be96","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":"2026-08-11T13:04:12.667968Z","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":"2026-08-20T06:33:59.587034+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/2412.13589/citation-record","integrity":"/paper/2412.13589/integrity","json":"/paper/2412.13589/citation-record.json","paper":"/paper/2412.13589"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.185904Z","title":", \" * write output.state after.block = add.period write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.185904Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:3c66f72cff2190e709a1f5fb688e9b08e1b556e040c0ea307df223b8e4d317bb","observation_id":"46d05d5b-d0a1-4353-b30c-54ef0770f6ab","resolution":{"observed_at":"2026-08-11T13:04:12.185904Z","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":"2026-08-11T13:04:12.197722Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.197722Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:7fdf4f5ac99d866cb8c1f0fcc07facbe72c5f3a3fcb033c61af644c2c068e97f","observation_id":"83ee6897-6a90-4971-ad12-db4c5769ccdf","resolution":{"observed_at":"2026-08-11T13:04:12.197722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2001.04030","last_updated":"2020-03-04T23:57:09Z","snapshot_observed_at":"2026-08-16T10:15:34.371425Z","submitted_at":"2020-01-10T13:25:34Z","title":"Exploiting Unlabeled Data in Smart Cities using Federated Learning","version":2},"cited_work":{"arxiv_id":"2001.04030","doi":null,"metadata_source":"pith","pith_arxiv_id":"2001.04030","snapshot_observed_at":"2026-08-11T13:04:13.022011Z","title":"Exploiting Unlabeled Data in Smart Cities using Federated Learning","venue":"cs.LG","work_id":"dc3665c4-888e-48c7-bfee-e9f86b2d087e","year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.206582Z"},"links":{"cited_paper":"/paper/2001.04030","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:33fc5d90206ed44c84e839426c6c0f97f41e2e28e52a20b25921ab137fb3bff4","observation_id":"2e9e1610-5f57-42ec-9382-3bb1a6631f21","resolution":{"observed_at":"2026-08-11T13:04:13.028196Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.994530Z","title":null,"venue":null,"work_id":"d9cfcadc-064d-4d33-966d-77c260b57ca1","year":2023},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.216252Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:d0a39b5aa77bf5d7e34f025b51435193bf1e04acebf51db7babd49b37eba7087","observation_id":"e3532d77-2c68-4c6b-ad9d-766695db0b84","resolution":{"observed_at":"2026-08-11T13:04:14.001632Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.225909Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.225909Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:d14741f2411b31ad932cf3be2e1add956c314276b8d96f7f41a22cd35e457389","observation_id":"ab1251c5-a5fb-4491-8dc9-1e4558ee91c3","resolution":{"observed_at":"2026-08-11T13:04:12.225909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01432","last_updated":"2022-10-11T06:30:41Z","snapshot_observed_at":"2026-08-16T18:20:09.409153Z","submitted_at":"2021-06-02T19:22:26Z","title":"SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training","version":4},"cited_work":{"arxiv_id":"2106.01432","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.01432","snapshot_observed_at":"2026-08-11T13:04:12.988430Z","title":"SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training","venue":"cs.LG","work_id":"789394b9-e9b3-4a39-8977-6ac2ec347f9f","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.234113Z"},"links":{"cited_paper":"/paper/2106.01432","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:ede44f0297cbaf991ae5455aa09eb3a34501451789fb55152bbe227c6eca09a6","observation_id":"f44366c0-7c51-4204-9b8b-9a0b4bf33b85","resolution":{"observed_at":"2026-08-11T13:04:12.995948Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.937943Z","title":null,"venue":null,"work_id":"8124de80-9422-452e-9b72-62630df2145c","year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.243366Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:a26475cfd2a3c1390723772db13b235f92339e2e45bfb397e28cc657a4c3f7a3","observation_id":"047fb6b2-20d2-43b3-b45c-932fae02b1a1","resolution":{"observed_at":"2026-08-11T13:04:13.946537Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.909761Z","title":null,"venue":null,"work_id":"5e91707f-2436-4e8e-bd84-0dde821d42be","year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.253085Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:6e340a29eaa93e7b2fb1091a068154648915cc8f5df12c910ee49239fd8a8a78","observation_id":"b98fd645-f38b-4f51-8f5e-e6eef21eba9a","resolution":{"observed_at":"2026-08-11T13:04:13.919809Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.881436Z","title":null,"venue":null,"work_id":"01e5b2e7-3f9d-4f29-aab1-11ef6f2e5c3c","year":2004},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.260489Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:893b249235949993b8a56137869e238ed0186a9a8d0eb81e56fa67397a30a752","observation_id":"c3026cc2-182e-46d5-9940-84cd14d68584","resolution":{"observed_at":"2026-08-11T13:04:13.894108Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.269226Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.269226Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:552a7d319b76b099f8ec23a88896cc8b54670c878449aba96f585438f768d548","observation_id":"e99014e3-fc07-44ad-890b-575d787ad19a","resolution":{"observed_at":"2026-08-11T13:04:12.269226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-08-14T06:37:15.299690Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-11T13:04:12.279583Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.279583Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:dfd5556eb3dd3aedd48e8fbd66a8348ab8b01117056995ae0b2ba5c23aa73dac","observation_id":"21ea2e08-42f0-4bf0-8526-a2420267b212","resolution":{"observed_at":"2026-08-11T13:04:12.279583Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.833449Z","title":null,"venue":null,"work_id":"58765238-104f-4657-ac49-860fae5be238","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.307817Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:58c6290f260f33e8fd8b9ebdae5eb9517ccdb2b4a6bf9eb33899fe59e7482024","observation_id":"8d2caffb-3352-434c-bdf6-28695360e129","resolution":{"observed_at":"2026-08-11T13:04:13.849035Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2002.11545","last_updated":"2020-05-11T11:44:11Z","snapshot_observed_at":"2026-08-18T21:07:43.918437Z","submitted_at":"2020-02-26T14:56:52Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective","version":2},"cited_work":{"arxiv_id":"2002.11545","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.11545","snapshot_observed_at":"2026-08-11T13:04:12.869730Z","title":"Towards Utilizing Unlabeled Data in Federated Learning: A Survey and Prospective","venue":"cs.LG","work_id":"6d6fe9a4-b441-4b82-bf5b-a6955cb86353","year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.323994Z"},"links":{"cited_paper":"/paper/2002.11545","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:87d37563268c8d1fd9ba4367b7e69f7006dd2a06016594057fbf37a97d695269","observation_id":"87348c52-a25a-41e9-b5ec-ccf37d88bad0","resolution":{"observed_at":"2026-08-11T13:04:12.879607Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.331735Z","title":"B.; Avent, B.; Bellet, A.; Bennis, M.; Bhagoji, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.331735Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:e9b0956c4141c68a875a0e3b60f8dd4bf44b40f6ae6d330f0d15c24cce3d44ef","observation_id":"2453d9a4-40c0-4fee-a073-ace82760be96","resolution":{"observed_at":"2026-08-11T13:04:12.331735Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.770981Z","title":null,"venue":null,"work_id":"fe53e860-82c9-44b4-8fbe-c4a2d03a9ebc","year":2010},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.350758Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:c4bc3e96b8c789132d1620c51d904c0d1d5f76fcd69a0ec6a00fcad0d91be9cd","observation_id":"b355766d-a1d0-4c72-8ebb-ef9610974d76","resolution":{"observed_at":"2026-08-11T13:04:13.788041Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.737051Z","title":null,"venue":null,"work_id":"41108e19-6a74-48ba-bed1-042a7a8fba89","year":1998},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.358653Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:70466804c0cda304e1a19fa3b9069414c36c696eab3573d81e03036b27c7c210","observation_id":"99041a91-5e9c-4ab4-bdfe-fbfb0db8c54e","resolution":{"observed_at":"2026-08-11T13:04:13.748346Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.710125Z","title":null,"venue":null,"work_id":"b1e2f7fb-64a3-4ca3-8e8d-8ba0c0d74600","year":2013},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.366516Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:f387f9d62737fdf780c9d0a4d958e3b8283796e84be326d3232bddf5d4893a5a","observation_id":"1818466e-e057-4203-a04a-b82f722100a6","resolution":{"observed_at":"2026-08-11T13:04:13.720885Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.680214Z","title":null,"venue":null,"work_id":"99f2ecb8-d5b1-4627-a71c-e7ea8e59dd0b","year":2023},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.373237Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:2aa9c34b826b78c3217ede28ef28947368d3a68ae5f100ed911444ba0111ce36","observation_id":"ed98ab02-d3b4-4e85-825a-9252e542e05e","resolution":{"observed_at":"2026-08-11T13:04:13.688106Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.647342Z","title":null,"venue":null,"work_id":"0a6c35cc-7375-486c-ab81-91e56c5159c6","year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.388642Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:639c65b90e1e069301864f36325643a9fd80f93256650a6dce25e38424eac7a7","observation_id":"b8d021c5-14d2-4de0-b5ab-25e5fbccceb3","resolution":{"observed_at":"2026-08-11T13:04:13.656982Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.401282Z","title":"U.; and Jaggi, M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.401282Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:2aafb55afa5a5e645cae2fbac9e2fbb94a234808b46c5c0bae0ca7c5257e3012","observation_id":"3a3a0b01-ab34-4adb-a5b0-c28f832b9292","resolution":{"observed_at":"2026-08-11T13:04:12.401282Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.604806Z","title":null,"venue":null,"work_id":"5f3b46a0-3992-482c-9160-c21b5580dd46","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.408132Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:0d4a4b18b8e9c793767ed4ef2b3038822ee926870d5cab15395f4cc212ed4afb","observation_id":"b6c6f60e-d021-4396-b7a8-c2d87e5cd4c9","resolution":{"observed_at":"2026-08-11T13:04:13.614083Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.577874Z","title":null,"venue":null,"work_id":"b2ed0f65-9149-4888-af78-3d105114b352","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.421473Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:15dea2e7634b41884e7521b9ebc66cefcb09d95e70189112e58be4a3498b260f","observation_id":"c74ce93d-7415-4519-ae67-7d59b1075749","resolution":{"observed_at":"2026-08-11T13:04:13.584834Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.547522Z","title":null,"venue":null,"work_id":"a06c67d8-0082-465e-a09d-0a7fa97adc4f","year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.428378Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:9399f04f6722068d8dd7cf8657eeb45c064b0fcb8db4fab91393036a017d1dc1","observation_id":"2e428e89-adf1-499c-b0d7-cd05d5a3aaa9","resolution":{"observed_at":"2026-08-11T13:04:13.559582Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.439574Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.439574Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:6ca8b22a6f4ef7d0a53c3f97a0f78aef75abd85e39df6f71db43103f8848f43c","observation_id":"45085c53-34e2-44b1-a684-20f2bef33d1b","resolution":{"observed_at":"2026-08-11T13:04:12.439574Z","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":"2026-08-11T13:04:12.449479Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.449479Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:16c2f49fb2cd67abe5ef29aad6566b234baa90e00848b5413a717e5a4eeb451d","observation_id":"60a339cf-d589-495c-9ac6-febc77705a57","resolution":{"observed_at":"2026-08-11T13:04:12.449479Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.492592Z","title":null,"venue":null,"work_id":"cdf04e87-8f43-4d54-9f4f-7a944e64e83e","year":2017},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.466400Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:0614a619f800fd1e70554df3baae27afe915148d03f0f6d71bd9a0e21a77ded9","observation_id":"ca616b06-640b-4909-bdf7-e1f9dd30c63a","resolution":{"observed_at":"2026-08-11T13:04:13.499471Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.477325Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.477325Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:e5b62e53b6db59417b19272df0e93819f3933d8fb3bf80f440297559fbfc2e11","observation_id":"75d87923-ca15-40bf-8932-39afeffe4f45","resolution":{"observed_at":"2026-08-11T13:04:12.477325Z","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":"2026-08-11T13:04:12.492678Z","title":"A.; Cubuk, E","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.492678Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:68ecddcb60f4d6f319d1c580978ed8c93131d0e2a315323b16720dcae3112add","observation_id":"da23b4f5-56ad-4745-a177-2fe0d00656d0","resolution":{"observed_at":"2026-08-11T13:04:12.492678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-11T13:04:12.501117Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.501117Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:f71cf044eae4991558ca6f52f0883cf588e28250a13db5137318c2f92c4cd9c6","observation_id":"896d43bd-b2aa-4271-9055-92eb65268374","resolution":{"observed_at":"2026-08-11T13:04:12.501117Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.429489Z","title":null,"venue":null,"work_id":"b6c5a084-21ee-4ba1-b76b-6c547a7f09bd","year":2024},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.509630Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:c9f0aa62b3f66552165522dad5664e121adac6807d1e36fa102dfcfaf1b63066","observation_id":"f94f6a6b-7e73-478d-af8f-71946930dcca","resolution":{"observed_at":"2026-08-11T13:04:13.440356Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.393251Z","title":null,"venue":null,"work_id":"bd8de05d-c82e-4adc-bef8-67a8c7ec54bd","year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.526202Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:6a54ff49cefc18a51066c285f3c2835a81f65e0e3ab33a451857fcf1f0267951","observation_id":"d2efc536-a5f9-41ee-9f2f-ac52862bd2cd","resolution":{"observed_at":"2026-08-11T13:04:13.413098Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.360603Z","title":null,"venue":null,"work_id":"7b2090e0-7b20-4cfd-93dc-36163cc6d691","year":2024},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.535242Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:d081feff26f0f29b8fb8354f7912ed569fabacae81914420a64a17ed28753f86","observation_id":"2f414193-5e6c-45b9-ad82-d464353394f2","resolution":{"observed_at":"2026-08-11T13:04:13.367048Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.335841Z","title":null,"venue":null,"work_id":"2ec7c0c3-d698-4a79-8831-e0a928068dee","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.546384Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:84d0a3c62b78c356b522311fbb6b43d5843bc4f26b7fa3508ef5c4b5a176d0c0","observation_id":"a5cf02a6-e4ce-4c2e-bffe-51ca016d5e10","resolution":{"observed_at":"2026-08-11T13:04:13.342404Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-11T13:04:12.557712Z","title":"N.; and Lopez-Paz, D","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.557712Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:75148a98afa909fbd708d867ee55f422fc99b4425125e45949f89bcdaef82886","observation_id":"f248e9d0-8c4a-497e-a50d-9db6e96158ae","resolution":{"observed_at":"2026-08-11T13:04:12.557712Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.313580Z","title":"E.; Ramchandran, K.; and Mahoney, M","venue":null,"work_id":"58e0125d-6cfc-49f2-a8e4-022e74101e68","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.565621Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:2c52ef27374629211eebe4535d27be34985656116b40cea89e235063a1a6ca90","observation_id":"ed159dff-d446-43c4-92fc-11bbfc96cae3","resolution":{"observed_at":"2026-08-11T13:04:13.320713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.275107Z","title":"LeCun, C","venue":null,"work_id":"d8a0fa62-92f0-49da-bc12-0801e36ba991","year":1998},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.582563Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:1f8da01bca7c2235c5cee907777b1a2eaa01caf06c234394d8a52328561b35d8","observation_id":"fd7cf3f3-775c-483d-8fe7-f908a60640dd","resolution":{"observed_at":"2026-08-11T13:04:13.288182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07747","snapshot_observed_at":"2026-08-11T13:04:12.592536Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.592536Z"},"links":{"cited_paper":"/paper/1708.07747","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:bf5745ad04ca25728a122222f7ebf3b52f12f554be18e4c85a8cc962d03ddc1a","observation_id":"1943c5b0-46e0-4249-b8e2-27a1461163b5","resolution":{"observed_at":"2026-08-11T13:04:12.592536Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.239920Z","title":"Krizhevsky, V","venue":null,"work_id":"a85b7455-ba99-4024-bca5-bd40c6292c36","year":2010},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.603195Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:4730296be539e5c777798ee58a5ee0a5a8c4dbff245f62d227590c9ffca6132e","observation_id":"00ae27dc-e9e6-4d7b-a3ac-6248310000a1","resolution":{"observed_at":"2026-08-11T13:04:13.249747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1909.06335","last_updated":"2019-09-13T17:26:20Z","snapshot_observed_at":"2026-08-16T05:00:17.345539Z","submitted_at":"2019-09-13T17:26:20Z","title":"Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.06335","snapshot_observed_at":"2026-08-11T13:04:12.610232Z","title":null,"venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.610232Z"},"links":{"cited_paper":"/paper/1909.06335","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:3c272922af85f42afce569b9f1b271828c62093ed7dc18edb3084d556d4b285f","observation_id":"f167fa61-2e28-479a-bb56-f35509040145","resolution":{"observed_at":"2026-08-11T13:04:12.610232Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.211423Z","title":null,"venue":null,"work_id":"91569776-ad20-49b9-a9d0-74a318596689","year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.616422Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:2aa5f04a88ade3cce838eee77801e3034f3361a9328728f5d2f5a720c2d8176c","observation_id":"e1624ade-b42e-43b8-ba0c-7160d6afe175","resolution":{"observed_at":"2026-08-11T13:04:13.221225Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:12.621748Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.621748Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:1dc8d239241643832d1e80f4c9dad6f82c7a859c68b5fe29395897b2891baf53","observation_id":"50d31a2e-eb0a-4124-be7a-fc88d3e2ce41","resolution":{"observed_at":"2026-08-11T13:04:12.621748Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.159647Z","title":null,"venue":null,"work_id":"96e3ebe4-ca33-4af3-b7f1-632433d09dda","year":2022},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.627940Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:db694585f72e83022491107bc6a136926ca380e7391cb5ad2cc4808a3c677603","observation_id":"bc05aed0-93bd-4674-ac0c-33c36c3891d7","resolution":{"observed_at":"2026-08-11T13:04:13.177022Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.133066Z","title":"Odena, C","venue":null,"work_id":"a723b70b-24a7-4375-8d92-896e32497e2f","year":2017},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.641249Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:3011b01eecefc2f2275cf8a1afc8cef6029e1a04e004232b73f25afd3e7a891e","observation_id":"ee069c97-388b-486d-9310-24a04fde7562","resolution":{"observed_at":"2026-08-11T13:04:13.141597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.089299Z","title":"Zhang, Y","venue":null,"work_id":"ad679f72-b579-471a-9dba-cfe2fc332433","year":2021},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.648318Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:8ae8487ff57aca3823ba9957a70c27e98a7427fe8e16c2b4e60ab14ebc4bbeb5","observation_id":"21efda99-3e13-443d-b413-8a2ebc11dc6a","resolution":{"observed_at":"2026-08-11T13:04:13.111025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-11T13:04:12.663519Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.663519Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:27a0143c21df8fd768cbb006d6044ce8d05e02fb06e2ca60406a8c9fd7860228","observation_id":"6729a367-3650-4c26-a45f-22f582434c2c","resolution":{"observed_at":"2026-08-11T13:04:12.663519Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T13:04:13.041809Z","title":"Berthelot, N","venue":null,"work_id":"29b8cbfa-7069-4a41-ba8d-77c182e969e0","year":2019},"citing_paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-11T13:04:12.667968Z"},"links":{"citing_paper":"/paper/2412.13589"},"observation_digest":"sha256:ceafe2f10d982ebc0368c418922130a0e77ef59a116247b9b2805328b9da5933","observation_id":"b2ce1abd-7aca-4328-bff5-2583af753fcf","resolution":{"observed_at":"2026-08-11T13:04:13.056301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2412.13589","last_updated":"2024-12-18T08:12:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T05:01:09.991564Z","submitted_at":"2024-12-18T08:12:55Z","title":"SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":37,"verified_exact":2,"verified_fuzzy":6},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.13589."}