{"as_of":"2026-08-14T17:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8806160386f82b548e0a16f540239aebd5f834f4969591c0adf26ad618e71996","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:31:30.193667Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2412.15380/citation-record","integrity":"/paper/2412.15380/integrity","json":"/paper/2412.15380/citation-record.json","paper":"/paper/2412.15380"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.505628Z","title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","venue":null,"work_id":"b454b595-d586-4512-99fb-4d39d338ae99","year":2018},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.854828Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:5fd4a4129f69e49bcf8b7c7f5ce76ffa671e697aefe88215ea5c83d27ff2f0dc","observation_id":"d4708784-2e89-4003-8714-a672d6065c22","resolution":{"observed_at":"2026-08-11T11:31:31.515420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:29.863474Z","title":"U-net: Convolutional networks for biomedical image segmentation","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.863474Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:176c6ea47ff52e6cbf40b806977e63998cbc75989cf8f6da44725bc9a6a6f3a4","observation_id":"d6296dbe-3424-44f4-8132-d859745e874f","resolution":{"observed_at":"2026-08-11T11:31:29.863474Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.458395Z","title":"A survey on semi-supervised learning","venue":null,"work_id":"a49bd967-50d4-4d2e-8f98-84467ee0db9c","year":2020},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.872514Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:bf89453e06712c51a94fb9126773259dbb2804e53a46f5dd5adf44896c4bef3b","observation_id":"7c3432a9-178c-479a-8dc1-7b5ed8c85dbc","resolution":{"observed_at":"2026-08-11T11:31:31.465418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:29.880618Z","title":"Mixmatch: A holistic approach to semi-supervised learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.880618Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:f16fb52c0ea08cb9cbf3c8c733050a12edd9ae9cef5e4206a527abca800b5d78","observation_id":"f03c8a71-c7a9-48c5-8762-a200360d4fd4","resolution":{"observed_at":"2026-08-11T11:31:29.880618Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.408588Z","title":"Curriculum labeling: Revisiting pseudo-labeling for semi-supervised learning","venue":null,"work_id":"9ee8fbd1-10f4-4d5e-b808-e227040530c9","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.888827Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:cf8da9b046da1ff97ec6e4bf890edb6998cd674f706c32dec619445e6415a8f8","observation_id":"de4eed77-3fda-4a70-af0d-e9b709b5da57","resolution":{"observed_at":"2026-08-11T11:31:31.415525Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.382407Z","title":"Smooth neighbors on teacher graphs for semi-supervised learning","venue":null,"work_id":"5140668c-3365-43e9-94a4-8a5fec1aacd1","year":2018},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.899038Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:ea7ebf63653838f1ba258fe7881f273815826432ffa86ff17f28f4ccb79038f8","observation_id":"efe8f9b0-faa3-441b-80df-ad7a52339982","resolution":{"observed_at":"2026-08-11T11:31:31.389337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.359914Z","title":"Instance localization for self-supervised detection pretraining","venue":null,"work_id":"59ba76e7-91c5-44fc-a84b-6e6ff1b1ee29","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.921086Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:c263f96a3e6e643d4fa0e8e94ec3541361b725c95013b28c8ea97253259fd601","observation_id":"1114a800-78c1-4f77-bc98-19e89aa677f3","resolution":{"observed_at":"2026-08-11T11:31:31.366734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:29.934417Z","title":"Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.934417Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:f4c344ec4050fe92409f60a46c36bb17282d31d2f0b82877acfa03d7d3e884cd","observation_id":"cda4bfcf-9a10-4364-9277-f820dabf90fb","resolution":{"observed_at":"2026-08-11T11:31:29.934417Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.310735Z","title":"Unsupervised data augmentation for consistency training","venue":null,"work_id":"aef17be3-3861-4871-b959-988b94fd9481","year":2020},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.940888Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:d768f0b17a26dac12a5c77669aa8ec4066eeacb57709b9a3daceae0100730035","observation_id":"d8d26b49-c655-4248-8d90-236a62f940bf","resolution":{"observed_at":"2026-08-11T11:31:31.319662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:29.953453Z","title":"Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.953453Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:b0146c300f7fa15fb90c078d594a94fe1dff6487f30a936571be3d0b6aad31bc","observation_id":"77fb4d53-18d7-496d-bd09-ae1d2af37131","resolution":{"observed_at":"2026-08-11T11:31:29.953453Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.258122Z","title":"Enhancing pseudo label quality for semi-supervised domain-generalized medical image segmentation","venue":null,"work_id":"c2fd28d3-c674-4493-a327-5c769a51b82f","year":2022},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.965644Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:f18383de342eba8d0686c576540fa8db4872e9c30ac36d4567cd60d8084e9885","observation_id":"7f65d679-faf0-49fb-8086-ebc2e5f15f1b","resolution":{"observed_at":"2026-08-11T11:31:31.270896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2301.04465","last_updated":"2023-05-26T15:14:45Z","snapshot_observed_at":"2026-08-13T13:05:57.028405Z","submitted_at":"2023-01-11T13:48:37Z","title":"Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.04465","snapshot_observed_at":"2026-08-11T11:31:29.972183Z","title":"Co-training with high-confidence pseudo labels for semi-supervised medical image segmentation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.972183Z"},"links":{"cited_paper":"/paper/2301.04465","citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:4bf97fb6667120102a42c2dfd6a2b01ee2a832ee4aeed69b782fcceab9e98be1","observation_id":"50a51ff0-f0c0-454a-b8cf-83577191e1f5","resolution":{"observed_at":"2026-08-11T11:31:29.972183Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.223181Z","title":"Uncertainty-aware self-ensembling model for semi-supervised 3d left atrium segmentation","venue":null,"work_id":"1ec0d24c-64db-4eac-b591-a6030d449ef3","year":2019},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.984964Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:dfa550b6f03b51532bd27c617cfd850a2fea85dfbbe486f9f87de3be85a3659b","observation_id":"a76eaccd-1985-4330-b1f0-bf171349d973","resolution":{"observed_at":"2026-08-11T11:31:31.232177Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.182257Z","title":"Mcf: Mutual correction framework for semi-supervised medical image segmentation","venue":null,"work_id":"0e6d1b84-61ac-4224-846d-5e74c565c473","year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.991307Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:d5e6b56c615f33b939331dd610e247c30b42c53f2ec9496aad1ba3ea2126e47e","observation_id":"f2c9e07c-5da5-42bb-8e08-e419ff920269","resolution":{"observed_at":"2026-08-11T11:31:31.195148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.150916Z","title":"Semi-supervised semantic segmentation with cross pseudo supervision","venue":null,"work_id":"6dcb26c9-c8ab-408d-be0c-9b2de57ac450","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:29.997184Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:5094411b102966c0ac90995f6784e2f9e8991dc4d719259653ee617d5a338c87","observation_id":"ac3bc52a-7620-43ef-a34a-b3cb016a5bb4","resolution":{"observed_at":"2026-08-11T11:31:31.164371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.120119Z","title":"Selecting the best optimizers for deep learning--based medical image segmentation","venue":null,"work_id":"fa8c3498-c298-43ac-990b-b95728c86b82","year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.004752Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:a0844b6616adedf82cd32f91befba2af69b5e6dac9fe816835c1f64ca8e97353","observation_id":"cea8e6a7-7087-4e75-b0f9-8f4f34497e0d","resolution":{"observed_at":"2026-08-11T11:31:31.129081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.093141Z","title":"Deep learning-based detection and classification of bone lesions on staging computed tomography in prostate cancer: A development study","venue":null,"work_id":"3b47a068-4cff-496d-a7af-c2899cae5ad7","year":2024},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.015308Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:1efce2efedee4317e5b1a22d2696bb64208013748d364802d820ff8427287602","observation_id":"b7ca1ab2-73a0-495e-ac86-7321e679b8de","resolution":{"observed_at":"2026-08-11T11:31:31.099076Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.072048Z","title":"Fixmatch: Simplifying semi-supervised learning with consistency and confidence","venue":null,"work_id":"358a8587-fd9c-4d66-bcc8-32a4f25d2fb9","year":2020},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.025478Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:8dc31ee090bf7cb9059c2ba421cfdbc4cb01c1c53f52947774805dc3f5eab102","observation_id":"102a2d47-da86-43d3-809e-30641b386864","resolution":{"observed_at":"2026-08-11T11:31:31.078428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.036830Z","title":"Flexmatch: Boosting semi-supervised learning with curriculum pseudo labeling","venue":null,"work_id":"fd93d362-3d7d-4cb0-a9a9-cb287325d371","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.034377Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:0faf14fd332dae0c1fcaf6fed96344b5030b213d2ddf0fa833cede4ab65101fa","observation_id":"5f6bf903-db5e-4e14-b657-a0b034bb6da7","resolution":{"observed_at":"2026-08-11T11:31:31.051307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:31.008319Z","title":"Virtual adversarial training: a regularization method for supervised and semi-supervised learning","venue":null,"work_id":"68339753-1fc9-4d17-bdcf-be57010b1da2","year":1979},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.042834Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:dbe52bc39b2584ea247e4eb461b3c652397030d7553480e68d3ff87321cd4d6c","observation_id":"6b4adaba-7562-465b-8123-c108e3e2141a","resolution":{"observed_at":"2026-08-11T11:31:31.017454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.987079Z","title":"How does disagreement help generalization against label corruption? In International conference on machine learning, pages 7164--7173","venue":null,"work_id":"caec7bb2-815e-4d58-9347-c50c2f63d850","year":2019},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.050471Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:b985aa319744de7e5040105afdf7ef23fe7bc62dc7f65704aa05dabf6f465e02","observation_id":"421de973-bd41-49e4-b95c-776aa1c51f23","resolution":{"observed_at":"2026-08-11T11:31:30.993033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.943368Z","title":"Reference-guided pseudo-label generation for medical semantic segmentation","venue":null,"work_id":"81bc9028-8e61-43a6-a63d-c26ab9a01178","year":2022},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.060592Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:b92a826672169c4eedcba1aaa24781b14fc849531a952bf3a8725f2f051a0011","observation_id":"da6dbfac-18c7-4404-a419-12f046c44294","resolution":{"observed_at":"2026-08-11T11:31:30.951553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.910955Z","title":"Interpolation consistency training for semi-supervised learning","venue":null,"work_id":"14469321-f8ea-4abc-9ee1-92f797a12d0c","year":2022},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.070188Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:d2a1fcaf395b59a1fdf91972b203fd69bbf7cbd010a9849a9715a7dce33f901f","observation_id":"516699cf-a850-42c4-afd1-91d4dcb634f2","resolution":{"observed_at":"2026-08-11T11:31:30.918487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.884397Z","title":"Tripled-uncertainty guided mean teacher model for semi-supervised medical image segmentation","venue":null,"work_id":"ec213ab4-bbcc-4448-a7a7-6c3630910d5c","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.079525Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:41810ba7f22a12ce1a8b980f77f34660cf9425451c9442a9e4ab724005ed22ec","observation_id":"862c7c19-7831-4854-ab0c-ad59fff71c8c","resolution":{"observed_at":"2026-08-11T11:31:30.894322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.844637Z","title":"Semi-supervised neuron segmentation via reinforced consistency learning","venue":null,"work_id":"3571ce14-bb42-47f8-b6c8-b3f7e3c11839","year":2022},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.091465Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:26fef1071af4e8a5a58ebd09636e80ce3485baefb6252c5c5dafa4162e8d6c44","observation_id":"0ef6a61b-b86e-4e4b-9ea1-27e464c16184","resolution":{"observed_at":"2026-08-11T11:31:30.853564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.105171Z","title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.105171Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:1b612df70e939e41f7e4f48bac4a08e0ca03e50b0e0601726f3942042a4f3656","observation_id":"e414bd8d-e3e7-4b14-b049-401159137156","resolution":{"observed_at":"2026-08-11T11:31:30.105171Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.783721Z","title":"Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning","venue":null,"work_id":"06ba30a7-3be6-48f6-8b41-eb469394470a","year":2022},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.112705Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:9f1b85a02da132f3bbc2969005a5e4af3ea5b6b81b077af0373b6899af720241","observation_id":"c92d493e-9a48-4ac7-bd86-940296cf5359","resolution":{"observed_at":"2026-08-11T11:31:30.797112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.734108Z","title":"Self-supervised learning for organs at risk and tumor segmentation with uncertainty quantification","venue":null,"work_id":"93216172-88d7-43c5-85ee-633c64bd6abc","year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.118421Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:7d4c69327f2c0be746d51658526f3f13e416bb0c6241979c755f14b5242fa433","observation_id":"4f4463ed-202f-4982-9f63-00344cb74a79","resolution":{"observed_at":"2026-08-11T11:31:30.746738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.124141Z","title":"V-net: Fully convolutional neural networks for volumetric medical image segmentation","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.124141Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:d67c08cec596cbb90a850f29d7035a67668c84ab39ee0c9ba0d238d2a2755e75","observation_id":"8678a6bb-3817-4313-b103-e907c5fdadb6","resolution":{"observed_at":"2026-08-11T11:31:30.124141Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.658660Z","title":"Shape-aware semi-supervised 3d semantic segmentation for medical images","venue":null,"work_id":"ddf06c77-c613-4b51-8e54-36a21d28792c","year":2020},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.131644Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:ce9e63674b7fe3f3365d2fd2afc2b01e01aafc81ac7c2b10cb54fe9677b8dc0c","observation_id":"55e689d0-e6ae-46bd-85bb-e0a6077f349a","resolution":{"observed_at":"2026-08-11T11:31:30.674926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.602225Z","title":"Semi-supervised left atrium segmentation with mutual consistency training","venue":null,"work_id":"f673f2f6-27af-409b-a3cf-230ca922b5ab","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.138893Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:db3c37da1687721127ae306c5d3ca5f3c42ceda768450cc21779e05878a0b1b4","observation_id":"a1e5de94-edc3-4ae6-90bd-a5996f2991a5","resolution":{"observed_at":"2026-08-11T11:31:30.615731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.567249Z","title":"Cr-sam: Curvature regularized sharpness-aware minimization","venue":null,"work_id":"8737f291-e21d-4160-8eb8-ab76cc2c1a66","year":2024},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.146473Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:34de45f26e1e4226c971acc69baa49ca64a6b561dda321d90bf9d321baa32b3f","observation_id":"e495da67-e3a7-4f5c-bf36-dd66f52b2bb7","resolution":{"observed_at":"2026-08-11T11:31:30.580281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.534839Z","title":"A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging","venue":null,"work_id":"8c70a88e-7394-4161-9f7a-0e7612bce6f7","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.155009Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:1f6a7ce9bc5e263215004960d30d5a0d0d4590d67099a2b1b8cdebf4839addbb","observation_id":"ed4e27e0-0010-4146-988d-11c369eab4d4","resolution":{"observed_at":"2026-08-11T11:31:30.546402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.160845Z","title":"Ms-net: Multi-site network for improving prostate segmentation with heterogeneous mri data","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.160845Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:909f5435dc0159e390e25e9d301b2608dd0a4867846646c2c8ef070de87a9ed6","observation_id":"7fc77fbc-dd40-4f87-843a-576b9c229d73","resolution":{"observed_at":"2026-08-11T11:31:30.160845Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.467898Z","title":"Semi-supervised medical image segmentation through dual-task consistency","venue":null,"work_id":"79d23443-25dd-4ec5-904a-2c55c3feedfd","year":2021},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.167755Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:33f30e400b7de1d94466657e3082fec6941709c76a6216940261761d02b450e8","observation_id":"0d351c3e-b2a6-446d-bb25-4efa371415ec","resolution":{"observed_at":"2026-08-11T11:31:30.485181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.438169Z","title":"Pseudo-label guided contrastive learning for semi-supervised medical image segmentation","venue":null,"work_id":"a3bcfba5-aaa5-45ba-9813-4e03a41ef33b","year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.175450Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:bc1176cd4db6b4df6e683e82455794900cc737f2e9ca83f29fbb7f2e923b2bab","observation_id":"5766e66e-37a2-468f-9bac-e97712d31be5","resolution":{"observed_at":"2026-08-11T11:31:30.445262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.375121Z","title":"Caussl: Causality-inspired semi-supervised learning for medical image segmentation","venue":null,"work_id":"3ffcf482-bbf7-4aa0-84ea-f0e4723e1d8d","year":2023},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.184025Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:a1f485969b8addaff3e9a6ead50e2ea15dd9ca31d1a771894b8e73adcc5d7036","observation_id":"38b1673b-4a30-41be-9c5c-2ed7547ac86c","resolution":{"observed_at":"2026-08-11T11:31:30.392106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:31:30.325036Z","title":"Deeporgan: Multi-level deep convolutional networks for automated pancreas segmentation","venue":null,"work_id":"5934f103-1a4d-4f0c-a6f3-5561dcc51ea1","year":2015},"citing_paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-11T11:31:30.193667Z"},"links":{"citing_paper":"/paper/2412.15380"},"observation_digest":"sha256:28f4426e820d77815b3766324979c09d7009e2b983c20a52b5f0a4fee0965662","observation_id":"6e5d58eb-dea9-47be-96cb-ee3d02f3628b","resolution":{"observed_at":"2026-08-11T11:31:30.338418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2412.15380","last_updated":"2024-12-19T20:16:58Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T13:52:33.578240Z","submitted_at":"2024-12-19T20:16:58Z","title":"Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":0,"verified_fuzzy":30},"total_outbound_references":38},"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 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.15380."}