{"as_of":"2026-08-23T02:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f2ef8ab96a9efff7f5bdb701ffe1aebd77ad7f54ca3d5256fc6653731dec6403","coverage":[{"denominator":9,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:40:05.421770Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2412.01167/citation-record","integrity":"/paper/2412.01167/integrity","json":"/paper/2412.01167/citation-record.json","paper":"/paper/2412.01167"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:40:05.389908Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.389908Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:24324443f2b449f33e37555f37a5467192abf01ae380ba2b2f5138291771d5a0","observation_id":"a7245772-024c-4a58-885b-fc215dc3188f","resolution":{"observed_at":"2026-08-12T04:40:05.389908Z","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":"2026-08-12T04:40:05.518248Z","title":null,"venue":null,"work_id":"1e40afae-2956-4f91-afe5-a429b3c87a39","year":2011},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.394191Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:0b9bd05a87a6ec2414d907e8e8a6ebcd9cbcb3b504cae6eb6b37a70538e77092","observation_id":"efbd6501-6615-42cb-ae89-21e4c01b07f8","resolution":{"observed_at":"2026-08-12T04:40:05.522113Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T04:40:05.507219Z","title":null,"venue":null,"work_id":"b92adb97-e300-45dc-ac89-9fdb2ed963ea","year":2021},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.398120Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:452a3d4b66838f34bb622a0152ddd81492f860a23dda945c2291f54aac34a825","observation_id":"5a834756-d3b9-4c33-9fe9-c118eae9de70","resolution":{"observed_at":"2026-08-12T04:40:05.511031Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T04:40:05.496062Z","title":null,"venue":null,"work_id":"11324bfc-9e4c-44a4-a15c-623d5a706c13","year":2019},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.401896Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:7fd673987c7c56bec1b4759ee0b54f2c04d8acc046c6ae3c7d9b4897db8b4db1","observation_id":"f64164d2-2cd6-4c7f-9f8d-cff70c1de2e7","resolution":{"observed_at":"2026-08-12T04:40:05.499645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T04:40:05.405866Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.405866Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:09445a5399d5ad58b931c81bd97e1c7e8d36b3db7d0277e8f5912b9acd7e50b6","observation_id":"86063638-3e14-4874-a6a4-c2951dfda9ce","resolution":{"observed_at":"2026-08-12T04:40:05.405866Z","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":"2026-08-12T04:40:05.409739Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.409739Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:3caaa6e41058f93581c53a39f1bbb1151bd9f54cf4a80340d07ba0d0f7f9b3ae","observation_id":"bbc2c229-0d07-4ed3-891b-5ce5a8c50cb4","resolution":{"observed_at":"2026-08-12T04:40:05.409739Z","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":"2026-08-12T04:40:05.414111Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.414111Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:1d80222e0328e9036f4d6b8e3c1650fb0fa96da43a16050c792d88bc5771d784","observation_id":"d2586721-5d55-4d83-a608-0f0e5e7c6ff9","resolution":{"observed_at":"2026-08-12T04:40:05.414111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.06405","last_updated":"2017-11-17T04:51:43Z","snapshot_observed_at":"2026-08-14T20:12:43.885695Z","submitted_at":"2017-11-17T04:51:43Z","title":"Ubenwa: Cry-based Diagnosis of Birth Asphyxia","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.06405","snapshot_observed_at":"2026-08-12T04:40:05.417716Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.417716Z"},"links":{"cited_paper":"/paper/1711.06405","citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:6dfa82a4c2ceb6e67831d64ad128b1c556f45f535ae3dee4996ad64522d7f6b2","observation_id":"73af6aca-f28c-4b4b-9b78-e09dd76cac1f","resolution":{"observed_at":"2026-08-12T04:40:05.417716Z","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":"2026-08-12T04:40:05.469081Z","title":null,"venue":null,"work_id":"aa2be6f0-3aaf-43f1-bb67-b3227d81f0e0","year":2008},"citing_paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T04:40:05.421770Z"},"links":{"citing_paper":"/paper/2412.01167"},"observation_digest":"sha256:3cee9984a09bc84c365fabc965d9460e7db83450eab1122679fe246cdbac02df","observation_id":"d4286211-1d18-493d-9b82-0148f9837749","resolution":{"observed_at":"2026-08-12T04:40:05.473955Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.01167","last_updated":"2024-12-02T06:10:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-22T20:41:53.549393Z","submitted_at":"2024-12-02T06:10:11Z","title":"HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning"},"reference_resolution":{"displayed":9,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":9},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2412.01167."}