{"as_of":"2026-08-11T10:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f4662ef5976b91c0c07d4c3dcb8f3d673c332768f365bd2864058be9c3ed525c","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T14:54:52.867135Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.22476/citation-record","integrity":"/paper/2509.22476/integrity","json":"/paper/2509.22476/citation-record.json","paper":"/paper/2509.22476"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.00390","last_updated":"2022-09-07T04:14:48Z","snapshot_observed_at":"2026-08-07T15:26:15.477145Z","submitted_at":"2021-12-01T10:17:25Z","title":"SegDiff: Image Segmentation with Diffusion Probabilistic Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.00390","snapshot_observed_at":"2026-08-04T14:54:46.461956Z","title":"Segdiff: Image segmentation with diffusion probabilistic models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:46.461956Z"},"links":{"cited_paper":"/paper/2112.00390","citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:4095378704abc43e37f53269902d809cd7b4c0192274004cb42546ef98c4e68d","observation_id":"aa038982-1a5f-46e4-a94a-d3c9c7077ae5","resolution":{"observed_at":"2026-08-04T14:54:46.461956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:46.622227Z","title":"Wasserstein generative adversarial networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:46.622227Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:6c414ee273037b856191e95b4b730b87ebf81231c1176d842a33d5d8d76f26b4","observation_id":"aa84afbb-977d-4638-9fc4-5bb110725a65","resolution":{"observed_at":"2026-08-04T14:54:46.622227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:46.801997Z","title":"Verification of forecasts expressed in terms of probability","venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:46.801997Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:ec627dbbf251194ed963e47e459ff621a08393de0e20a6ffe8313cc190fdb555","observation_id":"f6d6fbc6-e8da-4eb2-bbe9-e09eae0043e3","resolution":{"observed_at":"2026-08-04T14:54:46.801997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:46.961175Z","title":"u ggemann, Christos Sakaridis, Tim Br \\","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:46.961175Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:28bfd73ba19c0d1a0574e6d6a58cef3ef2580ae3b4b3dd43dda0081275eb92e9","observation_id":"2c36278e-095c-481a-b9dd-e49dbf4536ef","resolution":{"observed_at":"2026-08-04T14:54:46.961175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.076995Z","title":"Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.076995Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:1aa430a09fd431160874e54d4ad7f86fc425221fe9d37c5b7ab61ad815848dfd","observation_id":"ea141e0e-cfed-4e00-baf1-9e4ae191be16","resolution":{"observed_at":"2026-08-04T14:54:47.076995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.200690Z","title":"Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.200690Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:685d5763aac3daca2b6d1b44ec0df868a32238b2c87cf817806ef99c58827a4a","observation_id":"479d9309-c14e-436d-8996-ab6b5dd8a239","resolution":{"observed_at":"2026-08-04T14:54:47.200690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.311946Z","title":"A generalist framework for panoptic segmentation of images and videos","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.311946Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:a5e1325c06e7a3f7bda636fcc00854b4d92d987cb502f96da5acb69b6b734f14","observation_id":"75cee1e4-a98c-435d-95b4-5a8faa11d361","resolution":{"observed_at":"2026-08-04T14:54:47.311946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.462279Z","title":"Exact histogram specification","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.462279Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5227c4df2a1c7c81ae6745cc0dd9600b3173bd41216ffbbc2b653983e94bcba4","observation_id":"f1302236-9fd8-442b-ba1a-002d7213b69a","resolution":{"observed_at":"2026-08-04T14:54:47.462279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.635884Z","title":"Diffusion models beat gans on image synthesis","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.635884Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:75eba3a74bf340e5acc6159dba0571d83c4c03efb1593485b7353271fd8f82ea","observation_id":"73907791-8056-4151-8057-d78a069c5b11","resolution":{"observed_at":"2026-08-04T14:54:47.635884Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.749491Z","title":"Scribble-based domain adaptation via co-segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.749491Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:05ad67449876c570394bd9f790aa71a038942acd36e6a0df7f2e5b46e2ed28ab","observation_id":"005f23d5-d291-43c6-80df-4763a0d9cdd5","resolution":{"observed_at":"2026-08-04T14:54:47.749491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:47.900278Z","title":"Curves and surfaces for CAGD: a practical guide","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:47.900278Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:6e19cace97ba42e7e541baf861b1991256f8fd552eec738c89db43616649d33a","observation_id":"9f1444ea-7a8b-44b5-a717-63ea3bf71aab","resolution":{"observed_at":"2026-08-04T14:54:47.900278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.014091Z","title":"Digital image processing","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.014091Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:dd11f486a7b0ea8c4b09b1ba01b72e897ae5bcd00e7bf81a3f6cc8f92bb30139","observation_id":"49baeec6-7c15-4125-811f-1c8163589032","resolution":{"observed_at":"2026-08-04T14:54:48.014091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.125875Z","title":"Generative adversarial nets","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.125875Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:02b9bde34104cb7169a7f4b8ea8935befe7a9d2099b405408732d779486e3123","observation_id":"cad18b3b-fc1f-4440-8711-da293f0edd0f","resolution":{"observed_at":"2026-08-04T14:54:48.125875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.220414Z","title":"Denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.220414Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:fedf89461078702e1678527e8c22a83f53933ec2e22dde6258daafc9040a1b7c","observation_id":"9ea53f09-d573-4e6a-b607-f9b3ce025a9e","resolution":{"observed_at":"2026-08-04T14:54:48.220414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.316357Z","title":"Cycada: Cycle-consistent adversarial domain adaptation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.316357Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:421136ff9540d17d9124b440a3d220cace26db7c133e313be26e4cdd31c7c728","observation_id":"bfd25a58-d6bc-4592-99a0-b939dadb52c5","resolution":{"observed_at":"2026-08-04T14:54:48.316357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.420586Z","title":"Daformer: Improving network architectures and training strategies for domain-adaptive semantic segmentation","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.420586Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b8273ca620a7f9db56cc00de073ff23d9ff53a7e856582aca87b857d6bcbb8c9","observation_id":"655765d9-497e-4a78-a4fc-e6719d04646f","resolution":{"observed_at":"2026-08-04T14:54:48.420586Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.524543Z","title":"Synseg-net: Synthetic segmentation without target modality ground truth","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.524543Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b1b15a3a956370de28ad435ca7220f37941b1d7b995801181512f056f063f7cf","observation_id":"44ac9902-f9d9-4248-bb95-30b9fcb8aa93","resolution":{"observed_at":"2026-08-04T14:54:48.524543Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.639404Z","title":"Ddp: Diffusion model for dense visual prediction","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.639404Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:2cb7cfefc13b65ea6268044164d89bea773ae4f35f008b4a2f649796e71bf4ad","observation_id":"02116995-4c42-48d5-aefa-f704791761e1","resolution":{"observed_at":"2026-08-04T14:54:48.639404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.667804Z","title":"Psigan: Joint probabilistic segmentation and image distribution matching for unpaired cross-modality adaptation-based mri segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.667804Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:0980bba4b48214e2fe9b6e2134510fc067ab25927825f52d42378385491282ad","observation_id":"0534ab54-8a91-4317-94f3-c15e514e2191","resolution":{"observed_at":"2026-08-04T14:54:48.667804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.727571Z","title":"A style-based generator architecture for generative adversarial networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.727571Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:bd992467a01b7f929a88c91cb157cf959004eeed983e832b33cea547d05db9ee","observation_id":"c91dc932-b386-4be8-ad5e-8c4667f212d2","resolution":{"observed_at":"2026-08-04T14:54:48.727571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.832233Z","title":"Chaos challenge-combined (ct-mr) healthy abdominal organ segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.832233Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:46942ef0f4d1eee658af9d4a40596342a5c0667063ceba1ea2fcb36606ecb73b","observation_id":"d36bfcb5-415b-4c46-911d-f564d6cf6944","resolution":{"observed_at":"2026-08-04T14:54:48.832233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:48.936196Z","title":"The brain tumor segmentation (brats) challenge 2023: focus on pediatrics (cbtn-connect-dipgr-asnr-miccai brats-peds)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:48.936196Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:0790f7aef6a7d6a20849912e14b0477e5e17d66df5729b6413de6a7313f20321","observation_id":"67cd0d94-f87d-44c3-b246-8f5a92874baf","resolution":{"observed_at":"2026-08-04T14:54:48.936196Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.082223Z","title":"Learning texture invariant representation for domain adaptation of semantic segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.082223Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:9bdbc6d05568e25c9a43e2b9d34226e97f8ed9e7bcafb34dabe6d28e016661b4","observation_id":"a057221e-d9f1-4e01-810c-4ed2d83d5682","resolution":{"observed_at":"2026-08-04T14:54:49.082223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.174529Z","title":"Miccai multi-atlas labeling beyond the cranial vault--workshop and challenge","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.174529Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5aec8f3dbcad789d2af96a29b4338ec22fa6aa16052491ba7b822bf045d30294","observation_id":"c31fa185-dfc2-4d92-acf2-b0ce304a11bc","resolution":{"observed_at":"2026-08-04T14:54:49.174529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.259159Z","title":"Confidence estimation using unlabeled data","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.259159Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:f1ec0793cfb5336856ef6e16b9815c45691a50f2c7258486b5bde303d5bf889f","observation_id":"62b0c21e-9ceb-4aee-92eb-1187e4a34ca5","resolution":{"observed_at":"2026-08-04T14:54:49.259159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.371373Z","title":"Spatial diffusion for cell layout generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.371373Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:237b9588a7df2cc50db4a96caea42240f42506a5608089610d6e24ab2ec51aa7","observation_id":"28d2a88e-0480-4db3-add3-5f57de26fdd9","resolution":{"observed_at":"2026-08-04T14:54:49.371373Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.442555Z","title":"Bidirectional learning for domain adaptation of semantic segmentation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.442555Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:8e3cb827af1a6784b77fb265108061ccb01df448781ddb6a3a5ef544c6635a5d","observation_id":"515908a2-53fd-47a2-ab27-531252b6f7ee","resolution":{"observed_at":"2026-08-04T14:54:49.442555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.548989Z","title":"Susan: segment unannotated image structure using adversarial network","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.548989Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5d8852b3ad655e8cd8dad6ae277678e630436ebb424084d3e26335d81c8329c1","observation_id":"bd392a35-fa42-4afe-9dc9-5f0f5932db4d","resolution":{"observed_at":"2026-08-04T14:54:49.548989Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.644654Z","title":"Unsupervised image-to-image translation networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.644654Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:89111ccc7d92e727c7f9e47724b01ec7842e3191c268fa3390b57d3f21af6ebf","observation_id":"ea9771df-5ec5-4d64-9d41-f2b97cc7f23e","resolution":{"observed_at":"2026-08-04T14:54:49.644654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.760819Z","title":"Optimized bézier curve based intensity mapping scheme for low light image enhancement","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.760819Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b27470f101d663339c83e4bbca456fcd827b72a843b3fb69a36923d7385a38ce","observation_id":"3cbee20c-d4d6-4f91-9f7a-aa2bbba38994","resolution":{"observed_at":"2026-08-04T14:54:49.760819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.852874Z","title":"Least squares generative adversarial networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.852874Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:bca51af77d6ae99c19afa9d64d9efa452ecc87cf9469c2696c732b97c2b12b4b","observation_id":"a76438c8-eb69-45c7-b23f-2ffb4b890d3c","resolution":{"observed_at":"2026-08-04T14:54:49.852874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:49.930729Z","title":"Confidence-aware learning for deep neural networks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:49.930729Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:bf107d833403724af03443667e90e50ce9d1f64c1d4df5228bb83585d44f6d10","observation_id":"5b884f23-f66b-45c1-9f2e-505f900635e8","resolution":{"observed_at":"2026-08-04T14:54:49.930729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.040064Z","title":"Obtaining well calibrated probabilities using bayesian binning","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.040064Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:dfe4d0e6e5793eb12840a9fd7483bc6907796ae0c137e143399b702ebf61d0a1","observation_id":"f32e1ea9-f39f-4003-a099-8837d0758405","resolution":{"observed_at":"2026-08-04T14:54:50.040064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.142689Z","title":"Improved denoising diffusion probabilistic models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.142689Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:defc7566fd3fe2e05abff481d47b1c1ff7cb902a97ceb15a2f14d6f9bcd13e46","observation_id":"ddd826bd-258a-42a3-a076-17c988934782","resolution":{"observed_at":"2026-08-04T14:54:50.142689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.214814Z","title":"Diffusion-based image translation with label guidance for domain adaptive semantic segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.214814Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:0c58ac9531017c187564b29ca2e443d3a0fbb99d862a36d56685e2b88144fda4","observation_id":"ace266c8-6445-4ab8-97cd-2f74324cc75c","resolution":{"observed_at":"2026-08-04T14:54:50.214814Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.323593Z","title":"Loopda: Constructing self-loops to adapt nighttime semantic segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.323593Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b3f993652dd4d0ea8ec5b89cd7e35a9ad1dbe3499729317c9c30b7ea4e70320e","observation_id":"752a2246-b364-4836-84f2-cc797ac6a99f","resolution":{"observed_at":"2026-08-04T14:54:50.323593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.476476Z","title":"Denoising diffusion implicit models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.476476Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:1a50a047cb5b40415d890fe1c245fcb2d5b267722e677612e027831adc3f162f","observation_id":"38605cdd-853e-404d-81e6-2e9b81fe3020","resolution":{"observed_at":"2026-08-04T14:54:50.476476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.586197Z","title":"Learning to adapt structured output space for semantic segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.586197Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b1cda56fbb354db161887e8863b6e374b0e1b2a388e9dccc36b55c4d0da4cbd3","observation_id":"979d286d-6c89-4063-b280-61f3abb940fe","resolution":{"observed_at":"2026-08-04T14:54:50.586197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.689407Z","title":"Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.689407Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:a58415c771b6789ee7cd235a910cdb49d0ba857910e76ac66ad1ab551b6e64e7","observation_id":"2f9592ce-56d1-4e8a-b385-f7ca76ab3d73","resolution":{"observed_at":"2026-08-04T14:54:50.689407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.804198Z","title":"Towards generic semi-supervised framework for volumetric medical image segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.804198Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5d150764c92abaa2f2558545b3139fab7d964ae9a0654d81055caa3171c6ed0f","observation_id":"94f83548-d20d-410b-b5f6-71a2560e28bd","resolution":{"observed_at":"2026-08-04T14:54:50.804198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:50.949987Z","title":"Cyclesgan: A cycle-consistent and semantics-preserving generative adversarial network for unpaired mr-to-ct image synthesis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:50.949987Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:3c80bf39fb7d96debe8537937440274b96a45f15552a026d142250bf7e0deed4","observation_id":"edd59a31-605b-411e-b033-0fb0abe92f6f","resolution":{"observed_at":"2026-08-04T14:54:50.949987Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.070623Z","title":"Diffusion models for implicit image segmentation ensembles","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.070623Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:2ca6513efb7e120000adea8514a70daa9ae319f9ee6197807bb186ba83b98884","observation_id":"55418ce4-449b-4fcf-b707-22ee69fc0e52","resolution":{"observed_at":"2026-08-04T14:54:51.070623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.331784Z","title":"Fpl+: Filtered pseudo label-based unsupervised cross-modality adaptation for 3d medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.331784Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:a50443db7f01e4cc069f5c32fdd776b76e166450ab3b8bd26b4706cbf3c1c15d","observation_id":"d1a0d4f6-aeb6-4d65-9b23-5b58abaf2117","resolution":{"observed_at":"2026-08-04T14:54:51.331784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.501123Z","title":"Medsegdiff: Medical image segmentation with diffusion probabilistic model","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.501123Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:03d48bb4dbbeaa59228d01847ac22b924e52edc2788df43b21d07c5060ab492b","observation_id":"4686e25b-a58e-4eb5-befe-85216fac18f7","resolution":{"observed_at":"2026-08-04T14:54:51.501123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.630212Z","title":"A one-stage domain adaptation network with image alignment for unsupervised nighttime semantic segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.630212Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5c482983276f8b2241c3e26eaf8851c32d9583fbf1f8babff3b1d88aa15e0b09","observation_id":"b2f93d3d-c829-465f-b63c-59f8ceb75544","resolution":{"observed_at":"2026-08-04T14:54:51.630212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.687179Z","title":"Sepico: Semantic-guided pixel contrast for domain adaptive semantic segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.687179Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:3d3943842a07defa313c9c9f03864b2775bf1e8d9568003c257b5e885a6df11f","observation_id":"fd622066-adb5-4998-9693-0cbfbeed64f7","resolution":{"observed_at":"2026-08-04T14:54:51.687179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.836909Z","title":"Topocellgen: Generating histopathology cell topology with a diffusion model","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.836909Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:e67df2d2d2165403c0e40a6e006c247c08d02c7961b069da34d0c2735e159d52","observation_id":"17953d70-9fa5-465e-a0d6-7b1f4f5fb9cd","resolution":{"observed_at":"2026-08-04T14:54:51.836909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:51.945063Z","title":"Fda: Fourier domain adaptation for semantic segmentation","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:51.945063Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:e5a0616ac16afec47db373c9d5f2418a1e04bcd07021001957b18ca2f679f6fa","observation_id":"53f8ab84-453b-4dea-9ad6-dbebde4d621e","resolution":{"observed_at":"2026-08-04T14:54:51.945063Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.018145Z","title":"Prototypical pseudo label denoising and target structure learning for domain adaptive semantic segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.018145Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:3b045c881cdb782901f1f6ca1c022138120c0214775466f7e63ca5c171bdb8ae","observation_id":"bc474204-811d-4324-9914-ccd51562e028","resolution":{"observed_at":"2026-08-04T14:54:52.018145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.096182Z","title":"Zero-reference deep curve estimation for low-light image enhancement","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.096182Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:07ccdb09b7915a044993caa96cebc6e8b1dc302f6f027075e00d590e2367c645","observation_id":"52806af0-1bb0-4423-afaf-0a8856bded23","resolution":{"observed_at":"2026-08-04T14:54:52.096182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.156041Z","title":"Translating and segmenting multimodal medical volumes with cycle-and shape-consistency generative adversarial network","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.156041Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:62f02ba67df484047e680c704846f95d39aaf211d39818c6a3f170bea44ee0da","observation_id":"06e9f63d-d1ee-47fb-a52b-28a19f7002d7","resolution":{"observed_at":"2026-08-04T14:54:52.156041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.274796Z","title":"Unsupervised domain adaptation for semantic segmentation with pseudo label self-refinement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.274796Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:05d7579430687359e4ad56dbdff49fc128393c4ed10d18fb4da0ac7eee7ab826","observation_id":"5b9528ee-06db-425c-b765-fb99ed2002b4","resolution":{"observed_at":"2026-08-04T14:54:52.274796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.385089Z","title":"Generalizable cross-modality medical image segmentation via style augmentation and dual normalization","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.385089Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:5871340e9bfb31add97be973f1685b8da1fb60eb412fb186d4b01d4b42098451","observation_id":"4d6f9a0d-3283-46a9-b18b-f1f0fce1a31c","resolution":{"observed_at":"2026-08-04T14:54:52.385089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.442659Z","title":"Models genesis: Generic autodidactic models for 3d medical image analysis","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.442659Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:7754627a600b395a4c2135115ace04c419aeae9efb7ebf76f6edc495dd52c188","observation_id":"d99ac645-5392-4521-9382-b9f4e02985c3","resolution":{"observed_at":"2026-08-04T14:54:52.442659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.506993Z","title":"Unpaired image-to-image translation using cycle-consistent adversarial networks","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.506993Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:2b2f6017f3250500179188a5f082f5468a0defc64a2679598ff7179420f56771","observation_id":"21918567-6d06-4dd5-862f-10bde7535006","resolution":{"observed_at":"2026-08-04T14:54:52.506993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.574335Z","title":"Multi-scale patch and multi-modality atlases for whole heart segmentation of mri","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.574335Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:b3fb669f543b2fd2bff02c77c38a483de5f9b932f26ab47157040f0cfc0f94ed","observation_id":"98fd5f90-c0a5-4057-ab37-94b024e49ad8","resolution":{"observed_at":"2026-08-04T14:54:52.574335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.648085Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.648085Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:402a0fa5ba76a6c701913200f5d778c499c4182d7a16135515c5f6c931aea6ed","observation_id":"40d6a5aa-6492-49ab-80b0-1faf824f41a2","resolution":{"observed_at":"2026-08-04T14:54:52.648085Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.725607Z","title":"@esa (Ref","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.725607Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:dbb582b1ec6cfd22c4bce442b0f160799aada419c2eabf72c2c885b36be2f1bf","observation_id":"bac864a4-7869-4fcb-8a44-d5a350e976e2","resolution":{"observed_at":"2026-08-04T14:54:52.725607Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.789076Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.789076Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:cd1b1804028a915f4b808a2f458f404d0e06d2a3210a18925fec29ba6470b12b","observation_id":"99ee0be9-a621-4b42-8166-3539536420a1","resolution":{"observed_at":"2026-08-04T14:54:52.789076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:54:52.867135Z","title":"E Z \"E U","venue":null,"work_id":null,"year":1955},"citing_paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-04T14:54:52.867135Z"},"links":{"citing_paper":"/paper/2509.22476"},"observation_digest":"sha256:babce71e72d8b14d95f880f19dc732d1a947ada107c01e5cfcf7cd98adab8122","observation_id":"a214f0a2-a522-48ad-ad40-2ef60a7f5b49","resolution":{"observed_at":"2026-08-04T14:54:52.867135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.22476","last_updated":"2026-06-29T21:57:15Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T20:28:22.908892Z","submitted_at":"2025-09-26T15:23:17Z","title":"Multi-Channel Uncertainty-Weighted Score Matching for Conditional Diffusion in Medical UDA"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":60,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":60},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2509.22476."}