{"as_of":"2026-08-20T22:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3711c9dddf7f550eb7d36a612f8376f78310306720215a2fa00345b8abbdb68","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":"2026-08-20T06:33:59.587034+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":"2026-05-10T16:34:34.520392Z","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":"2026-05-11T08:40:58.282441Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.11876","last_updated":"2025-02-13T07:31:32Z","snapshot_observed_at":"2026-08-16T14:58:52.093974Z","submitted_at":"2023-09-21T08:22:44Z","title":"Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training","version":3},"cited_work":{"arxiv_id":"2309.11876","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.11876","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-level asymmetric contrastive learning for volumetric medical image segmentation pre-training","venue":null,"work_id":"0869e7d7-b34d-43cf-be75-443d431326f0","year":2025},"citing_paper":{"arxiv_id":"2604.11164","last_updated":"2026-04-13T08:26:26Z","snapshot_observed_at":"2026-08-11T14:36:47.592741Z","submitted_at":"2026-04-13T08:26:26Z","title":"RADA: Region-Aware Dual-encoder Auxiliary learning for Barely-supervised Medical Image Segmentation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T16:34:34.520392Z"},"links":{"cited_paper":"/paper/2309.11876","citing_paper":"/paper/2604.11164"},"observation_digest":"sha256:3e7fcf42dbb2de8baa172ed50f0e21e45d189e143f2f70c9960f4a0f2239f3e6","observation_id":"225e6882-492e-4a13-8210-4cd51ae9dfb7","resolution":{"observed_at":"2026-05-11T08:40:58.285608Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.11876/citation-record","integrity":"/paper/2309.11876/integrity","json":"/paper/2309.11876/citation-record.json","paper":"/paper/2309.11876"},"outbound":[],"paper":{"arxiv_id":"2309.11876","last_updated":"2025-02-13T07:31:32Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T14:58:52.093974Z","submitted_at":"2023-09-21T08:22:44Z","title":"Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2309.11876."}