{"as_of":"2026-08-15T20:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:65a11675b3d7fc323a98aa95026b0583b4f3a01a1e48c2fe5c6b99c87b71d24a","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:49:24.728521Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1909.02642/citation-record","integrity":"/paper/1909.02642/integrity","json":"/paper/1909.02642/citation-record.json","paper":"/paper/1909.02642"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:49:25.213662Z","title":"Estimating the global cancer incidence and mortality in 2018: Globocan sources and methods,","venue":null,"work_id":"ab9bd417-94b0-4a63-915a-6012de4c5a27","year":2018},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.571850Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:931f5804d2028ecd12614bbc12f93e709a524ba60832c10cb404c062760d548e","observation_id":"9697fa17-c80e-4d3e-934d-010c7212b731","resolution":{"observed_at":"2026-08-14T04:49:25.218713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.200293Z","title":"Prospective study of breast cancer incidence in women with a brca1 or brca2 mutation under surveillance with and without magnetic resonance imaging","venue":null,"work_id":"e444da7a-705c-422d-8899-6175fb591c3e","year":2011},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.576228Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:ea342f65eb6e465342f16020ca9f446f47e83215abfd1d6f9988547640040547","observation_id":"e24bbe91-f60e-4c26-9901-94603b5010e2","resolution":{"observed_at":"2026-08-14T04:49:25.204736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.187053Z","title":"Effectiveness of screening with annual magnetic resonance imaging and mammography: results of the initial screen from the ontario high risk breast screening program,","venue":null,"work_id":"84c6d65b-f250-483b-86ae-5943b56db694","year":2014},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.580367Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:75cb8ace54280d8e503aa755e4189a6666edc998af7169ec13bfffff8c2300a5","observation_id":"67fa2409-b076-4d4d-97f6-565f98592df9","resolution":{"observed_at":"2026-08-14T04:49:25.191618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.173324Z","title":"Efﬁcacy of mri and mammography for breast- cancer screening in women with a familial or genetic predisposition,","venue":null,"work_id":"9cdd88f5-2526-4776-a334-a18ad8df31ed","year":2004},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.584424Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:2ad1e4f734453cfa3bd9383110cacbf1165c67d27422c4792270df50c87ba588","observation_id":"327ea914-094e-47f8-8d9a-d63267b6a0fa","resolution":{"observed_at":"2026-08-14T04:49:25.177827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.159418Z","title":"Background parenchymal enhancement at breast mr imaging and breast cancer risk,","venue":null,"work_id":"5bcf5053-64e5-45c1-bc5f-a3ebbd4f8dbe","year":2011},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.588560Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:8b6d2cd5a6d9c8ba3e5b622ee6fbe737381d8f3fb998b178ca53b643c23e49de","observation_id":"73ea4260-83e9-460e-8bd8-fd3a36a30bd1","resolution":{"observed_at":"2026-08-14T04:49:25.164332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.146189Z","title":"The associa- tion of background parenchymal enhancement at breast mri with breast cancer: A systematic review and meta-analysis,","venue":null,"work_id":"bd06813f-39ae-4041-b12e-81d299ed4496","year":2019},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.593015Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:9000d1f8f98641902c26a61a3a4f44393abae0d76ab863152cc8df7cc8d0418c","observation_id":"3d86c658-7616-4a9b-b34c-276680884c97","resolution":{"observed_at":"2026-08-14T04:49:25.150604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.133391Z","title":null,"venue":null,"work_id":"c8d56fd5-d254-41f5-afe7-1662bfe8fd8d","year":2015},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.597221Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:8c98c9f05395868d312b20428a9de6ca6985c5f3f1655ed32afa030d8669a509","observation_id":"e2b77fd0-f914-4a58-8953-d192980a66e8","resolution":{"observed_at":"2026-08-14T04:49:25.137019Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.120530Z","title":"Mammographic density, mri background parenchymal enhancement and breast cancer risk,","venue":null,"work_id":"a96acd9a-fa65-4172-9958-3f0958efb175","year":2013},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.601067Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:e0a51477431fcd6837bc233b3016eb058b2e744d20357b5a79898bdeee66b404","observation_id":"6365b130-911b-4290-9d39-d07052f340f0","resolution":{"observed_at":"2026-08-14T04:49:25.124748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.106673Z","title":"A survey on deep learning in medical image analysis,","venue":null,"work_id":"bd061cc4-7701-4b85-80ea-2256779eff60","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.604898Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:d12ba458cfbc16f17cba77da276940b38ebdef9b806942cbd131c9e7e3fc3bfe","observation_id":"3110b4d1-9e96-406b-9d2b-8d48036677cf","resolution":{"observed_at":"2026-08-14T04:49:25.110904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.093114Z","title":"An investiga- tion of the effect of fat suppression and dimensionality on the accuracy of breast mri segmentation using u-nets,","venue":null,"work_id":"7e084386-f28b-4fdf-ad2d-445fc7f2b6d1","year":2019},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.608846Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:e785b38cd75ace29fb8c750a9efd23aa5e63a618a330a2114f48e497182daa47","observation_id":"8db88736-b72e-43a7-bc08-344bd5ecc625","resolution":{"observed_at":"2026-08-14T04:49:25.097615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.079071Z","title":"Automatic Breast and Fibroglandular Tissue Segmentation in Breast MRI Using Deep Learning by a Fully-Convolutional Residual Neural Network U- Net,","venue":null,"work_id":"c9dd7c62-71aa-4793-881a-c4910a05fad6","year":2019},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.612510Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:a7180467d066d9f65ec16428b3a13edd79af768d7f5e69620aebd4eb98e035a4","observation_id":"97d1fb9a-5929-40c0-b05c-d7670f0e8aaf","resolution":{"observed_at":"2026-08-14T04:49:25.083928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.616595Z","title":"Generative adversarial nets,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.616595Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:f0d8a166fcc99b42bc3b5c9d437d3d6d4d3481e3d7f3b8cae32ca8d3e21bedd1","observation_id":"b5c6abcb-dfa5-4fbe-93d2-17ad4e0365e0","resolution":{"observed_at":"2026-08-14T04:49:24.616595Z","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":"2026-08-14T04:49:25.055871Z","title":"A comprehensive survey on domain adaptation for visual applications,","venue":null,"work_id":"df43f30b-8cbe-4c86-9b45-9bba5c9a0b5f","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.620337Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:e06e7e6906dee48c453f0a1be2f0a98c832d9a9374ba877a93a3a388fd00b5ba","observation_id":"bac7dd3e-27a9-427b-80e9-9fde7b3de28e","resolution":{"observed_at":"2026-08-14T04:49:25.060802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.041490Z","title":"Transfer learning for domain adaptation in mri: Application in brain lesion segmentation,","venue":null,"work_id":"51d67308-58de-4601-9b73-31098cbeeabc","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.624131Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:a15aeb0164bd96fe9b13eaffc52250118bd32bf7c47e9ebf8b2a96e06522cc00","observation_id":"6a141e48-c906-4913-99f5-9d00a0494315","resolution":{"observed_at":"2026-08-14T04:49:25.046191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:25.028008Z","title":"Convolutional neural networks for medical image analysis: Full training or ﬁne tuning?","venue":null,"work_id":"1c66f1af-1c67-411c-a9df-dd7e8073bfd8","year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.628257Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:0006fff7c0076bc845774961431ff8f51af6e9c51b6983c8726bdb97e74cc56d","observation_id":"ffdb9f62-12aa-421f-963b-4adc64848c83","resolution":{"observed_at":"2026-08-14T04:49:25.032513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.632791Z","title":"Imagenet classiﬁcation with deep convolutional neural networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.632791Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:9eab32da3ab4558e0355f81b50dfeef547fe28002473e609bb374f27cc5112c9","observation_id":"9dcff217-8e02-4d01-a791-63b3d24b097b","resolution":{"observed_at":"2026-08-14T04:49:24.632791Z","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":"2026-08-14T04:49:25.006360Z","title":"Domain randomization for transferring deep neural networks from sim- ulation to the real world,","venue":null,"work_id":"d83f19c2-a0d8-4332-9edc-dd8446dfb03c","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.636846Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:9d88ab47071b6a330f37c1d0db3ffa65c1fd2f75507f59b33e45efbbbd949ff0","observation_id":"e4476f8c-5e8b-427f-a08b-7b712c4731a1","resolution":{"observed_at":"2026-08-14T04:49:25.010758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.641025Z","title":"Arbitrary style transfer in real-time with adaptive instance normalization,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.641025Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:adef8c9d10918c8e8b9dca6a012bd3b7d940f436d09605691e4ca6115a88b2a3","observation_id":"df952ab0-e3a7-4200-9590-7cb4de410604","resolution":{"observed_at":"2026-08-14T04:49:24.641025Z","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":"2026-08-14T04:49:24.644817Z","title":"Image style transfer using convolutional neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.644817Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:78d6c8554f4b734a8c9104dc4c2b6df93d013aa6b049b037e60e6df711f0c015","observation_id":"76837440-7e9a-4064-824a-5ed595748184","resolution":{"observed_at":"2026-08-14T04:49:24.644817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.05375","last_updated":"2019-04-12T16:58:20Z","snapshot_observed_at":"2026-08-14T18:28:24.681956Z","submitted_at":"2018-09-14T12:34:36Z","title":"Style Augmentation: Data Augmentation via Style Randomization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.05375","snapshot_observed_at":"2026-08-14T04:49:24.648705Z","title":"Style augmentation: Data augmentation via style random- ization,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.648705Z"},"links":{"cited_paper":"/paper/1809.05375","citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:acf9898d458ccc3d88d3a7f14a3b4d67d1581e15d541f2c4b5788a179fc7fde1","observation_id":"b13ffc59-8834-487e-8e07-3bae4a12df1c","resolution":{"observed_at":"2026-08-14T04:49:24.648705Z","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":"2026-08-14T04:49:24.653371Z","title":"Domain-adversarial training of neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.653371Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:9a30ad54018ec5f4617fd60d65fd6043e05904789a0a56ffe4f7b273801c3caa","observation_id":"3e7291bd-2579-4777-8490-df68402cce5e","resolution":{"observed_at":"2026-08-14T04:49:24.653371Z","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":"2026-08-14T04:49:24.969129Z","title":"Adversarial discrim- inative domain adaptation,","venue":null,"work_id":"482f904f-85d1-4e88-8f95-b7575551c0bb","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.658000Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:0d0c6e432a472cd8069b2657bfac4e10a76e0ebd0cf51c7106925d4bbe9667b8","observation_id":"d8a3bfb0-30f8-4376-b396-5e81886874ea","resolution":{"observed_at":"2026-08-14T04:49:24.973374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.956769Z","title":"Domain-adversarial neural networks to address the appearance variability of histopathology images,","venue":null,"work_id":"aed3b206-eb5e-4db7-8534-86437e48a9b2","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.661941Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:132e1dc3d175bd4dce1bdac6c7a22b94c258e301748cd1401f8f2b759e0b8a15","observation_id":"a4d5a6b6-b7c1-421e-810d-e6f8f8e994c5","resolution":{"observed_at":"2026-08-14T04:49:24.961290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.945318Z","title":"Differential data augmentation techniques for medical imaging classiﬁcation tasks,","venue":null,"work_id":"7da4e504-f9aa-4d25-b5ec-4687b58e8cdc","year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.665855Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:d3d24894f6c738d7d583646e75a5e648e1ddc08c73e32af5611c0739daabe72e","observation_id":"169753a0-a510-453f-9b32-895db78b9111","resolution":{"observed_at":"2026-08-14T04:49:24.948910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.06543","last_updated":"2020-04-15T14:03:56Z","snapshot_observed_at":"2026-08-15T05:07:00.312378Z","submitted_at":"2019-02-18T12:36:58Z","title":"Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology","version":2},"cited_work":{"arxiv_id":"1902.06543","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.06543","snapshot_observed_at":"2026-08-14T04:49:24.804074Z","title":"Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology","venue":"cs.CV","work_id":"5af31c7f-7d99-4f86-9527-521707dfa7d2","year":2019},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.669727Z"},"links":{"cited_paper":"/paper/1902.06543","citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:048569e18a89a587b284db7867dd439e5ff41acb527f60b3458dfe3dd0aefda9","observation_id":"3d8af436-3e7f-4807-81a8-89a1ec71c234","resolution":{"observed_at":"2026-08-14T04:49:24.810909Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.02442","last_updated":"2017-03-08T04:47:57Z","snapshot_observed_at":"2026-08-14T21:13:38.690381Z","submitted_at":"2017-03-03T19:03:08Z","title":"Detecting Cancer Metastases on Gigapixel Pathology Images","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.02442","snapshot_observed_at":"2026-08-14T04:49:24.673862Z","title":"Detecting cancer metastases on gigapixel pathology images,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.673862Z"},"links":{"cited_paper":"/paper/1703.02442","citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:6957acffee392f7d6df5c26343964b7b4c96a7cfcc79268d2c67499ab98f1ec6","observation_id":"9e455828-f9ca-4969-b23b-5ce922cf6bfd","resolution":{"observed_at":"2026-08-14T04:49:24.673862Z","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":"2026-08-14T04:49:24.678229Z","title":"Perceptual losses for real-time style transfer and super-resolution,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.678229Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:22d0d49efa0074dc083f1a201b75835ae6397a1bf1933acba483961454fe2913","observation_id":"63941f45-0c21-4948-801c-0a9cb6b89741","resolution":{"observed_at":"2026-08-14T04:49:24.678229Z","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":"2026-08-14T04:49:24.925537Z","title":"Texture networks: Feed-forward synthesis of textures and stylized images","venue":null,"work_id":"e8f655a5-c3f2-432c-937d-77586afc575b","year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.682132Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:3e798e6ae5eca22f090617cbfca35312d7fdd46d09429a5597eb9cc7bff2acb2","observation_id":"94480973-9951-4837-9477-18ad36d0b555","resolution":{"observed_at":"2026-08-14T04:49:24.929616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06830","last_updated":"2017-08-24T19:06:03Z","snapshot_observed_at":"2026-08-14T20:59:40.956371Z","submitted_at":"2017-05-18T23:25:48Z","title":"Exploring the structure of a real-time, arbitrary neural artistic stylization network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.06830","snapshot_observed_at":"2026-08-14T04:49:24.685886Z","title":"Exploring the structure of a real-time, arbitrary neural artistic stylization network,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.685886Z"},"links":{"cited_paper":"/paper/1705.06830","citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:84c8b5edb8447a9cbe182e0c467611b70290e3488990569e0326dde796f66ab0","observation_id":"9f457603-99a9-4ab2-a5dd-d02142fd0e29","resolution":{"observed_at":"2026-08-14T04:49:24.685886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.12231","last_updated":"2022-11-09T23:15:15Z","snapshot_observed_at":"2026-08-15T04:09:02.437506Z","submitted_at":"2018-11-29T15:04:05Z","title":"ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.12231","snapshot_observed_at":"2026-08-14T04:49:24.690592Z","title":"Imagenet-trained cnns are biased towards texture; increasing shape bias improves accuracy and robustness,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.690592Z"},"links":{"cited_paper":"/paper/1811.12231","citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:036ebadf29b6ef9a70927cbd20141b3d70b023b48c9a24b34fe666959a3fa0b2","observation_id":"a081023d-7eca-4f00-87ac-278ac194e5ae","resolution":{"observed_at":"2026-08-14T04:49:24.690592Z","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":"2026-08-14T04:49:24.694697Z","title":"U-net: Convolutional networks for biomedical image segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.694697Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:e9188aa06e0f4eeac00e9cae0126df92ad4d8863359f6280e7065e725311dd36","observation_id":"f54d2ded-d5be-49d4-9a19-35b462779846","resolution":{"observed_at":"2026-08-14T04:49:24.694697Z","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":"2026-08-14T04:49:24.904677Z","title":"3d u-net: learning dense volumetric segmentation from sparse anno- tation,","venue":null,"work_id":"8bcaa50e-7c8b-4fde-9186-50f027981672","year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.698232Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:8848491b2a6dddb69ca142aec942d7da7d879d57870dce1135aadaa4af923d2f","observation_id":"a9c3ca8d-30ca-4fda-b951-5ea0bce7341b","resolution":{"observed_at":"2026-08-14T04:49:24.908897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.891748Z","title":"TensorFlow: Large-scale machine learning on heterogeneous systems,","venue":null,"work_id":"83257929-8241-4d8d-9451-445ef25ce707","year":2015},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.701610Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:8eb4e58986f7881794804fb223d4ddde07bc1fd77985e2f45dad7d0e4a4d2b45","observation_id":"94e287fc-edf9-4ec9-88d9-4cbed8ef0616","resolution":{"observed_at":"2026-08-14T04:49:24.895740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.705656Z","title":"Chollet et al","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.705656Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:e2feb508847ad16f153d4d8f0021e4f035c5569606d445e7c86b200cba6be728","observation_id":"0f282d77-f704-464a-afb5-e9f26806a585","resolution":{"observed_at":"2026-08-14T04:49:24.705656Z","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":"2026-08-14T04:49:24.872527Z","title":"SciPy: Open source scientiﬁc tools for Python,","venue":null,"work_id":"c1ebbf55-e22b-4b76-8b96-5f90e86eb435","year":2001},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.709156Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:2857dee8c5e7c4778e3d94aa60999da8ee24871a4a6554e72fa0dd281dc70d10","observation_id":"09ab6c9b-633e-4a08-810b-3c80a87f1774","resolution":{"observed_at":"2026-08-14T04:49:24.876751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.713785Z","title":"Variations of dynamic contrast-enhanced magnetic resonance imaging in evaluation of breast cancer therapy response: a multicenter data analysis challenge,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.713785Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:4adabfbf0ac0aa8745aac6a3d168e2a7debb5fd297ab57990918f64481cb1825","observation_id":"8587365f-5960-4348-a044-5a39f0991fdb","resolution":{"observed_at":"2026-08-14T04:49:24.713785Z","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":"2026-08-14T04:49:24.860674Z","title":"Breast segmentation in mri using poisson surface reconstruction initialized with random forest edge detection,","venue":null,"work_id":"f30ffadb-6951-4dfc-8b9a-78d3896ae976","year":2016},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.718941Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:0da7577ad50df89781cba4abf49df20784f9a9d66cdf3847fff5d42a0081bd59","observation_id":"87162e04-b890-4053-a85d-a0c13f3f9b6b","resolution":{"observed_at":"2026-08-14T04:49:24.864538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.848115Z","title":"User-guided 3d active contour segmentation of anatomical structures: signiﬁcantly improved efﬁciency and reliability,","venue":null,"work_id":"0f08ea94-d13e-4202-a81a-03e5cf29e4f2","year":2006},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.723217Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:dc0323456ffcca0fc57fa020f90eb28bc1b1b312d028a187be54bfa1052bddef","observation_id":"579dc89a-69ca-43d0-b00c-f2d05415f38a","resolution":{"observed_at":"2026-08-14T04:49:24.852816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T04:49:24.834662Z","title":"Simultaneous truth and performance level estimation (staple): an algorithm for the validation of image segmentation,","venue":null,"work_id":"9fafdc89-47d4-4379-9a32-036d560b7f02","year":2004},"citing_paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T04:49:24.728521Z"},"links":{"citing_paper":"/paper/1909.02642"},"observation_digest":"sha256:82c823d64dd7f9bbc1bc3f8ad3e1be146614d6d0c5bf7c80c7c249d2dc3d32e9","observation_id":"b83df5d0-2341-428c-8524-e1499506e8de","resolution":{"observed_at":"2026-08-14T04:49:24.839006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1909.02642","last_updated":"2019-09-05T21:40:02Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-14T21:25:55.765048Z","submitted_at":"2019-09-05T21:40:02Z","title":"Intensity augmentation for domain transfer of whole breast segmentation in MRI"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":24},"total_outbound_references":39},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1909.02642."}