{"as_of":"2026-08-16T23:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:041feb07905774b82b0fb64bbabe95148a00c0f694ea8f9dbfd7959d0797e0f7","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":"2026-08-16T06:30:59.297886+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":"2026-08-16T00:22:51.709216Z","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":"2026-08-16T00:22:51.807553Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.17029","last_updated":"2025-02-24T10:29:32Z","snapshot_observed_at":"2026-08-16T17:30:35.710985Z","submitted_at":"2025-02-24T10:29:32Z","title":"M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation","version":1},"cited_work":{"arxiv_id":"2502.17029","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.17029","snapshot_observed_at":"2026-08-16T00:22:51.807553Z","title":"M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation","venue":"eess.IV","work_id":"b4588c10-98f8-44da-8bcd-10a9ef321bb1","year":2025},"citing_paper":{"arxiv_id":"2608.12035","last_updated":"2026-08-12T13:19:14Z","snapshot_observed_at":"2026-08-16T15:37:17.999092Z","submitted_at":"2026-08-12T13:19:14Z","title":"How Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T00:22:51.709216Z"},"links":{"cited_paper":"/paper/2502.17029","citing_paper":"/paper/2608.12035"},"observation_digest":"sha256:1337eaeac66c56c6883ea56ee1efe96a0457319758718fd145e7054b59bb218f","observation_id":"92a2da9b-045f-4bb7-b65b-1efed9519ec9","resolution":{"observed_at":"2026-08-16T00:22:51.813573Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.17029/citation-record","integrity":"/paper/2502.17029/integrity","json":"/paper/2502.17029/citation-record.json","paper":"/paper/2502.17029"},"outbound":[],"paper":{"arxiv_id":"2502.17029","last_updated":"2025-02-24T10:29:32Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T17:30:35.710985Z","submitted_at":"2025-02-24T10:29:32Z","title":"M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2502.17029."}