{"as_of":"2026-08-20T14:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:925dfbc1ac224f6fdbbd02643b5ebabb085f10534f5ff1a94ec4efff535c87c0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T16:29:09.303242Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T16:38:39.819302Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.11339","last_updated":"2023-03-20T10:27:26Z","snapshot_observed_at":"2026-08-19T00:17:11.304766Z","submitted_at":"2023-03-20T10:27:26Z","title":"FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder","version":1},"cited_work":{"arxiv_id":"2303.11339","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.11339","snapshot_observed_at":"2026-07-03T16:38:39.819302Z","title":"Fedmae: Federated self-supervised learning with one-block masked auto-encoder","venue":null,"work_id":"186e95ef-30ea-4819-a3fc-f2bb45cb1556","year":2023},"citing_paper":{"arxiv_id":"2512.18809","last_updated":"2026-04-03T11:51:07Z","snapshot_observed_at":"2026-08-13T23:52:35.105425Z","submitted_at":"2025-12-21T17:01:44Z","title":"FedVideoMAE: Efficient Privacy-Preserving Federated Video Moderation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-16T20:36:16.561576Z"},"links":{"cited_paper":"/paper/2303.11339","citing_paper":"/paper/2512.18809"},"observation_digest":"sha256:2c5032c4138e32a94e00f1f7d68daf52063b8045f41cd02cd48441f64b818eff","observation_id":"18107ec2-bdb2-448a-b6fd-695b1a6c8dba","resolution":{"observed_at":"2026-05-16T20:38:24.725919Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11339","last_updated":"2023-03-20T10:27:26Z","snapshot_observed_at":"2026-08-19T00:17:11.304766Z","submitted_at":"2023-03-20T10:27:26Z","title":"FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder","version":1},"cited_work":{"arxiv_id":"2303.11339","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.11339","snapshot_observed_at":"2026-07-03T16:38:39.819302Z","title":"Fedmae: Federated self-supervised learning with one-block masked auto-encoder","venue":null,"work_id":"186e95ef-30ea-4819-a3fc-f2bb45cb1556","year":2023},"citing_paper":{"arxiv_id":"2607.02447","last_updated":"2026-07-02T17:17:05Z","snapshot_observed_at":"2026-08-12T19:16:36.866393Z","submitted_at":"2026-07-02T17:17:05Z","title":"Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-07-03T16:29:09.303242Z"},"links":{"cited_paper":"/paper/2303.11339","citing_paper":"/paper/2607.02447"},"observation_digest":"sha256:1f50de75e7c7c60a69e74dd39b3d0b9269e7494e39bdd285860dce803b6b63a1","observation_id":"010502c4-e49a-4aff-b159-c825753da7b7","resolution":{"observed_at":"2026-07-03T16:38:39.821273Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2303.11339/citation-record","integrity":"/paper/2303.11339/integrity","json":"/paper/2303.11339/citation-record.json","paper":"/paper/2303.11339"},"outbound":[],"paper":{"arxiv_id":"2303.11339","last_updated":"2023-03-20T10:27:26Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T00:17:11.304766Z","submitted_at":"2023-03-20T10:27:26Z","title":"FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.11339."}