{"as_of":"2026-08-13T16:57:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9c584f8b4060b960d775ae7d06655053bfc3245f89cd08732cba529244434fc5","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:19:58.989025Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T18:19:59.166729Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.03478","last_updated":"2025-04-04T14:36:33Z","snapshot_observed_at":"2026-08-07T16:08:51.105831Z","submitted_at":"2025-04-04T14:36:33Z","title":"Probabilistic Machine Learning for Noisy Labels in Earth Observation","version":1},"cited_work":{"arxiv_id":"2504.03478","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.03478","snapshot_observed_at":"2026-08-06T18:19:59.166729Z","title":"Probabilistic Machine Learning for Noisy Labels in Earth Observation","venue":"cs.LG","work_id":"b048a700-c6f8-4558-884d-8dfa108c8d7e","year":2025},"citing_paper":{"arxiv_id":"2507.08683","last_updated":"2025-07-11T15:33:51Z","snapshot_observed_at":"2026-08-13T12:04:57.309517Z","submitted_at":"2025-07-11T15:33:51Z","title":"MoSAiC: Multi-Modal Multi-Label Supervision-Aware Contrastive Learning for Remote Sensing","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:19:58.989025Z"},"links":{"cited_paper":"/paper/2504.03478","citing_paper":"/paper/2507.08683"},"observation_digest":"sha256:f9eddb64d1784950c576b3af347894930062c8925e566632361e36e540d5d5b3","observation_id":"3939d696-1695-4d1f-a728-32650912b95a","resolution":{"observed_at":"2026-08-06T18:19:59.172141Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.03478/citation-record","integrity":"/paper/2504.03478/integrity","json":"/paper/2504.03478/citation-record.json","paper":"/paper/2504.03478"},"outbound":[],"paper":{"arxiv_id":"2504.03478","last_updated":"2025-04-04T14:36:33Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:08:51.105831Z","submitted_at":"2025-04-04T14:36:33Z","title":"Probabilistic Machine Learning for Noisy Labels in Earth Observation"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2504.03478."}