{"as_of":"2026-08-09T21:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d6125508629b459b14f8c71795b60adfed0195ecfb051bcd6e81012c01beb56f","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T23:21:37.612204Z","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":"2026-05-25T05:20:24.456526Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.07381","last_updated":"2024-07-16T21:21:42Z","snapshot_observed_at":"2026-08-05T07:27:00.338145Z","submitted_at":"2023-12-12T15:57:03Z","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07381","snapshot_observed_at":"2026-08-06T23:21:37.612204Z","title":"Scrib- bleprompt: Fast and flexible interactive segmentation for any medical image.arXiv preprint arXiv:2312.07381, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18404","last_updated":"2025-06-23T08:42:06Z","snapshot_observed_at":"2026-08-07T20:55:40.286968Z","submitted_at":"2025-06-23T08:42:06Z","title":"SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:21:37.612204Z"},"links":{"cited_paper":"/paper/2312.07381","citing_paper":"/paper/2506.18404"},"observation_digest":"sha256:cb3467601b7af5af533a986027e1e9303b53e9f2e0870e0dcdd08cf400b47fb7","observation_id":"cca2d58f-6223-4de6-ace1-5ac4f36551e4","resolution":{"observed_at":"2026-08-06T23:21:37.612204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07381","last_updated":"2024-07-16T21:21:42Z","snapshot_observed_at":"2026-08-05T07:27:00.338145Z","submitted_at":"2023-12-12T15:57:03Z","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image","version":3},"cited_work":{"arxiv_id":"2312.07381","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.07381","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"04bf3b7f-b646-4156-9e91-529f626fb9d1","year":2024},"citing_paper":{"arxiv_id":"2605.23118","last_updated":"2026-05-22T00:37:49Z","snapshot_observed_at":"2026-08-02T17:40:15.700491Z","submitted_at":"2026-05-22T00:37:49Z","title":"Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T05:19:46.630941Z"},"links":{"cited_paper":"/paper/2312.07381","citing_paper":"/paper/2605.23118"},"observation_digest":"sha256:95ea697a5b16bbfc66758ce7ded6d8709667412e79a4deb09e5ba1a427c53b86","observation_id":"8d8511d4-befc-4d7d-a734-7715a3be3c29","resolution":{"observed_at":"2026-05-25T05:20:24.459119Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.07381/citation-record","integrity":"/paper/2312.07381/integrity","json":"/paper/2312.07381/citation-record.json","paper":"/paper/2312.07381"},"outbound":[],"paper":{"arxiv_id":"2312.07381","last_updated":"2024-07-16T21:21:42Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T07:27:00.338145Z","submitted_at":"2023-12-12T15:57:03Z","title":"ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.07381."}