{"as_of":"2026-08-07T21:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe5ada9c6b1dae65325c7dc135d919956a094de5ab9952445c03a0ea7164bc0a","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":"2026-08-07T06:34:17.273281+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":"2026-08-04T20:41:49.707221Z","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":"2026-06-30T12:24:39.100367Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.11287","last_updated":"2022-03-21T18:59:08Z","snapshot_observed_at":"2026-07-06T12:50:26.219071Z","submitted_at":"2022-03-21T18:59:08Z","title":"PCA-RF: An Efficient Parkinson's Disease Prediction Model based on Random Forest Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11287","snapshot_observed_at":"2026-08-04T20:41:49.707221Z","title":"PCA-RF: an efficient Parkinson’s disease prediction model based on random forest classifi- cation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.08424","last_updated":"2025-09-10T09:14:18Z","snapshot_observed_at":"2026-08-07T09:12:21.605754Z","submitted_at":"2025-09-10T09:14:18Z","title":"Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T20:41:49.707221Z"},"links":{"cited_paper":"/paper/2203.11287","citing_paper":"/paper/2509.08424"},"observation_digest":"sha256:035c1ece3c5d52685b7236da8cfd5e0b4ead98aa7a4f24a53d9d7c6d5f5b47d4","observation_id":"4fc85a30-9bd7-4d6b-94c6-85badb9a03aa","resolution":{"observed_at":"2026-08-04T20:41:49.707221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11287","last_updated":"2022-03-21T18:59:08Z","snapshot_observed_at":"2026-07-06T12:50:26.219071Z","submitted_at":"2022-03-21T18:59:08Z","title":"PCA-RF: An Efficient Parkinson's Disease Prediction Model based on Random Forest Classification","version":1},"cited_work":{"arxiv_id":"2203.11287","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.11287","snapshot_observed_at":"2026-06-30T12:24:39.100367Z","title":"Pca-rf: An efficient parkinson’s disease prediction model based on random forest classification,","venue":null,"work_id":"ff99cb5a-dd44-4017-a9a3-b1e5db6105fd","year":2022},"citing_paper":{"arxiv_id":"2605.24499","last_updated":"2026-05-23T10:14:50Z","snapshot_observed_at":"2026-08-05T07:18:05.612116Z","submitted_at":"2026-05-23T10:14:50Z","title":"Cloud Computing Review: A Decade of Research","version":1},"reference_index":123,"source":"pdf_text","source_observed_at":"2026-06-30T12:24:11.073615Z"},"links":{"cited_paper":"/paper/2203.11287","citing_paper":"/paper/2605.24499"},"observation_digest":"sha256:dbcb9dd85eb44c9ce0f9d9dbd14e02659134131da6f69dfde8f3a84bcd916ca1","observation_id":"517a4c20-744a-4d56-9195-a1a7c0f8fa87","resolution":{"observed_at":"2026-06-30T12:24:39.102374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2203.11287/citation-record","integrity":"/paper/2203.11287/integrity","json":"/paper/2203.11287/citation-record.json","paper":"/paper/2203.11287"},"outbound":[],"paper":{"arxiv_id":"2203.11287","last_updated":"2022-03-21T18:59:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:50:26.219071Z","submitted_at":"2022-03-21T18:59:08Z","title":"PCA-RF: An Efficient Parkinson's Disease Prediction Model based on Random Forest Classification"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.11287."}