{"as_of":"2026-08-10T03:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:84c2c82b3647547e212c8484aeec042139d94d534439b65a562a47ec629273fd","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T17:56:03.574930Z","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":"2026-08-06T17:56:05.056170Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.06825","last_updated":"2024-10-09T12:37:12Z","snapshot_observed_at":"2026-07-06T19:30:21.486298Z","submitted_at":"2024-10-09T12:37:12Z","title":"K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images","version":1},"cited_work":{"arxiv_id":"2410.06825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.06825","snapshot_observed_at":"2026-08-06T17:56:05.056170Z","title":"K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR Images","venue":"eess.IV","work_id":"a1bc02f7-f356-45bf-b9f7-0b1def7a1853","year":2024},"citing_paper":{"arxiv_id":"2507.09562","last_updated":"2025-07-13T10:10:17Z","snapshot_observed_at":"2026-08-09T15:24:35.785392Z","submitted_at":"2025-07-13T10:10:17Z","title":"Prompt Engineering in Segment Anything Model: Methodologies, Applications, and Emerging Challenges","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T17:56:03.574930Z"},"links":{"cited_paper":"/paper/2410.06825","citing_paper":"/paper/2507.09562"},"observation_digest":"sha256:1f3ef0ec6f2b93d5326e6067a3b33de7426cfff0c8c47dc7dfc2a9ebfe3f34e3","observation_id":"6089519b-2b26-4acb-a0c0-fea62ce03576","resolution":{"observed_at":"2026-08-06T17:56:05.059830Z","resolver_source":"local_arxiv","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/2410.06825/citation-record","integrity":"/paper/2410.06825/integrity","json":"/paper/2410.06825/citation-record.json","paper":"/paper/2410.06825"},"outbound":[],"paper":{"arxiv_id":"2410.06825","last_updated":"2024-10-09T12:37:12Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-07-06T19:30:21.486298Z","submitted_at":"2024-10-09T12:37:12Z","title":"K-SAM: A Prompting Method Using Pretrained U-Net to Improve Zero Shot Performance of SAM on Lung Segmentation in CXR 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.06825."}