{"as_of":"2026-08-14T23:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f60829ba57bdf16cb26954be2ccbb409d2907058d934c116bd93dc7b607ffaa","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":"2026-08-14T06:32:32.682623+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":"2026-08-07T14:55:57.994758Z","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":"2026-08-07T14:56:00.142293Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.05985","last_updated":"2024-08-12T08:21:04Z","snapshot_observed_at":"2026-08-12T23:05:08.772246Z","submitted_at":"2024-08-12T08:21:04Z","title":"Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models","version":1},"cited_work":{"arxiv_id":"2408.05985","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.05985","snapshot_observed_at":"2026-08-07T14:56:00.142293Z","title":"Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models","venue":"cs.CV","work_id":"e1534f9e-1a5c-4d0a-a88d-091a1aa1c455","year":2024},"citing_paper":{"arxiv_id":"2505.16875","last_updated":"2025-05-22T16:31:43Z","snapshot_observed_at":"2026-08-07T21:47:29.169874Z","submitted_at":"2025-05-22T16:31:43Z","title":"T2I-ConBench: Text-to-Image Benchmark for Continual Post-training","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T14:55:57.994758Z"},"links":{"cited_paper":"/paper/2408.05985","citing_paper":"/paper/2505.16875"},"observation_digest":"sha256:b698851a0459a6ee36fe862ff33aa0cb76457dcc91e600b0797546c5e90629eb","observation_id":"aec9f678-4e23-42ab-9cb6-f750344a45bd","resolution":{"observed_at":"2026-08-07T14:56:00.206036Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.05985","last_updated":"2024-08-12T08:21:04Z","snapshot_observed_at":"2026-08-12T23:05:08.772246Z","submitted_at":"2024-08-12T08:21:04Z","title":"Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.05985","snapshot_observed_at":"2026-07-12T04:53:06.208566Z","title":"Diffuse- UDA: Addressing unsupervised domain adaptation in medical image segmentation with appearance and structure aligned diffusion models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03103","last_updated":"2026-07-03T08:38:39Z","snapshot_observed_at":"2026-08-14T17:31:05.067454Z","submitted_at":"2026-07-03T08:38:39Z","title":"SNR-Adaptive Unified Diffusion for Multi-Task Medical Image Segmentation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-12T04:53:06.208566Z"},"links":{"cited_paper":"/paper/2408.05985","citing_paper":"/paper/2607.03103"},"observation_digest":"sha256:d54721b7d001f929765b2648e80ed13e5a7ab1f40d5bcdb8628f7367cd7f9213","observation_id":"5eea2517-96f7-416f-b112-f4980579c4cc","resolution":{"observed_at":"2026-07-12T04:53:06.208566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.05985/citation-record","integrity":"/paper/2408.05985/integrity","json":"/paper/2408.05985/citation-record.json","paper":"/paper/2408.05985"},"outbound":[],"paper":{"arxiv_id":"2408.05985","last_updated":"2024-08-12T08:21:04Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T23:05:08.772246Z","submitted_at":"2024-08-12T08:21:04Z","title":"Diffuse-UDA: Addressing Unsupervised Domain Adaptation in Medical Image Segmentation with Appearance and Structure Aligned Diffusion Models"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.05985."}