{"as_of":"2026-08-05T01:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:133b64e895ed332dcfe8cbccd7172b3fa1f452efb1ea34cd5be188d23624f193","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":"2026-08-04T06:34:03.388597+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":"2026-06-27T09:59:19.332545Z","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":"2026-07-03T10:27:56.863437Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.09946","last_updated":"2024-10-16T01:10:44Z","snapshot_observed_at":"2026-07-06T15:28:28.566025Z","submitted_at":"2023-05-17T04:56:11Z","title":"AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images","version":3},"cited_work":{"arxiv_id":"2305.09946","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.09946","snapshot_observed_at":"2026-07-03T10:27:56.863437Z","title":"arXiv preprint arXiv:2305.09946 (2023)","venue":null,"work_id":"112e5286-e6cf-4de8-8757-252c370142ba","year":2023},"citing_paper":{"arxiv_id":"2606.12140","last_updated":"2026-06-10T14:34:01Z","snapshot_observed_at":"2026-08-04T09:41:09.901182Z","submitted_at":"2026-06-10T14:34:01Z","title":"Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Cancer","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-27T09:59:19.332545Z"},"links":{"cited_paper":"/paper/2305.09946","citing_paper":"/paper/2606.12140"},"observation_digest":"sha256:b9b4bc42be55c2f471bfe7983640451d21a5f87abf5b70f1d5780a76440778b0","observation_id":"38132a6c-3a90-4f5e-a4d3-7cf93d102c57","resolution":{"observed_at":"2026-07-03T10:27:56.865243Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.09946/citation-record","integrity":"/paper/2305.09946/integrity","json":"/paper/2305.09946/citation-record.json","paper":"/paper/2305.09946"},"outbound":[],"paper":{"arxiv_id":"2305.09946","last_updated":"2024-10-16T01:10:44Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T15:28:28.566025Z","submitted_at":"2023-05-17T04:56:11Z","title":"AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2305.09946."}