{"as_of":"2026-08-19T13:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bb0bc1408180ed4f0461c1cd4270b8a6f5b633a5bf0785f29b7308d5043f3920","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:04:04.137155Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/1908.05959/citation-record","integrity":"/paper/1908.05959/integrity","json":"/paper/1908.05959/citation-record.json","paper":"/paper/1908.05959"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:04:04.306225Z","title":"In: MICCAI 2017","venue":null,"work_id":"00ddcce8-4e83-469d-8366-922c0c3045d4","year":2017},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.088420Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:76c00749181e199e731e07dfe51e334fdf6252a542c1cec4303fab84fa192847","observation_id":"031226fa-d488-4a24-b086-d913105595fd","resolution":{"observed_at":"2026-08-14T13:04:04.309762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.295329Z","title":"In: Proc","venue":null,"work_id":"0a9c8a0b-2cf5-4073-bffc-b0de6d105749","year":2018},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.092554Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:50acbd957f626b68457b5a83c139604bf2fd9dea4645832cb5e7f4da46279207","observation_id":"19b7c69b-a1d3-4f3f-a198-81f283acbe35","resolution":{"observed_at":"2026-08-14T13:04:04.299073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.03485","last_updated":"2017-10-16T13:46:31Z","snapshot_observed_at":"2026-08-14T20:34:18.032649Z","submitted_at":"2017-09-11T17:42:10Z","title":"NiftyNet: a deep-learning platform for medical imaging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.03485","snapshot_observed_at":"2026-08-14T13:04:04.096336Z","title":"arXiv preprint arXiv:1709.03485 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.096336Z"},"links":{"cited_paper":"/paper/1709.03485","citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:848f1a7a613646ae939c09130701168a93f25deed105698762fc0aff929bbe7a","observation_id":"a733d974-b49d-456a-a459-8e949077b97a","resolution":{"observed_at":"2026-08-14T13:04:04.096336Z","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":"2026-08-14T13:04:04.284303Z","title":"AIDS research and human retroviruses (2019)","venue":null,"work_id":"67400bf9-733a-4796-a611-0d064b814fd4","year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.100686Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:87199c4f47a71905ac252174b9329ffe870b1849adcfb9abe74672185a5eb54a","observation_id":"87f79dec-8bee-4b89-a5e6-5dd7a8eb961c","resolution":{"observed_at":"2026-08-14T13:04:04.288345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.272968Z","title":"In: International conference on information pro- cessing in medical imaging","venue":null,"work_id":"2fb2c824-7f6d-4ec3-a447-12fd14796960","year":2017},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.104386Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:59b0f7d6570100b9f7b710a39c828ac5b596aaf5989bda5315cad4ad3115fe92","observation_id":"515c1bd2-6168-456e-a26d-66574f90b238","resolution":{"observed_at":"2026-08-14T13:04:04.276629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.262139Z","title":"IEEE trans- actions on medical imaging (2019)","venue":null,"work_id":"c7563a70-14e4-45fa-b0b4-ca78f827bc4c","year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.108391Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:dc4a0cb15ffb4f1d211a871c4d594b3cd174d5743c9967d02d4e27848623884b","observation_id":"92f96781-fff1-4c39-9ae2-fe93a73a3c89","resolution":{"observed_at":"2026-08-14T13:04:04.265956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.250597Z","title":null,"venue":null,"work_id":"d131bfd2-25d8-4598-9572-2aae5f827e01","year":2016},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.112308Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:42526e057742f331fbc894137b91f6b5f723da6baab955077a419174eb91d5a7","observation_id":"5fbb655c-a508-41cb-848d-702a2098b0aa","resolution":{"observed_at":"2026-08-14T13:04:04.254994Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.239766Z","title":"Briefings in bioinformatics 19(6), 1236–1246 (2017)","venue":null,"work_id":"cd37bb3e-156b-4b01-93aa-24a97cb8e496","year":2017},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.115754Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:a5949c8f7e066f123459bd4adca7b8dfc4b25f14bdd731ae41e4e1da1c711152","observation_id":"98c4d6f8-2606-414c-86b1-3fbff484ee0c","resolution":{"observed_at":"2026-08-14T13:04:04.243535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.229340Z","title":"NeuroImage (2019)","venue":null,"work_id":"e58c79d2-a311-4b38-87cc-1e0fe3963e54","year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.119466Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:be28028e2cfbe7c95b1290941a65d65627e340d1f494514c7bbd160f7cb1d45a","observation_id":"f4c3c4dc-4efa-4d51-933f-21803ffccc16","resolution":{"observed_at":"2026-08-14T13:04:04.232858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.123056Z","title":"In: MICCAI","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.123056Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:3e7749bcf8743a02971446f403bf46a2bdf53979ccb036dd5b3fa149e06a92c6","observation_id":"d3b192af-b694-41e6-a8ea-ac43e7699825","resolution":{"observed_at":"2026-08-14T13:04:04.123056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.09239","last_updated":"2019-03-21T21:18:21Z","snapshot_observed_at":"2026-08-14T16:58:33.635287Z","submitted_at":"2019-03-21T21:18:21Z","title":"Multi-Domain Adversarial Learning","version":1},"cited_work":{"arxiv_id":"1903.09239","doi":null,"metadata_source":"pith","pith_arxiv_id":"1903.09239","snapshot_observed_at":"2026-08-14T13:04:04.186960Z","title":"Multi-Domain Adversarial Learning","venue":"stat.ML","work_id":"534a7162-2d4e-43b4-8918-827b047d34bc","year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.126389Z"},"links":{"cited_paper":"/paper/1903.09239","citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:c1ba6a697b3aa914186d330aecfb3cf55f271b63ff2f72c35506243cd3b78971","observation_id":"4d4a4e85-25dc-44b0-83af-3fe2d30243a4","resolution":{"observed_at":"2026-08-14T13:04:04.192531Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-14T13:04:04.211792Z","title":"In: MIDL","venue":null,"work_id":"185cc526-d05e-423e-973c-9ac5f98aed37","year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.130091Z"},"links":{"citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:c2d797149cf00782e8da98fb4f3fec15521677242caa970df286a32ea37fb34b","observation_id":"72f6f489-346d-4d9d-954e-729147996cb9","resolution":{"observed_at":"2026-08-14T13:04:04.215472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.12848","last_updated":"2020-11-05T15:11:02Z","snapshot_observed_at":"2026-08-15T01:35:06.365266Z","submitted_at":"2019-04-29T17:56:59Z","title":"Unsupervised Data Augmentation for Consistency Training","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.12848","snapshot_observed_at":"2026-08-14T13:04:04.133320Z","title":"arXiv:1904.12848 (2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.133320Z"},"links":{"cited_paper":"/paper/1904.12848","citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:45e92e63fcb0b772765d96341410cc93165d21a4592a71fde9472bd0b25211a5","observation_id":"9b6dcb96-159a-4755-9ed3-583f5ed977ef","resolution":{"observed_at":"2026-08-14T13:04:04.133320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.09383","last_updated":"2019-04-06T21:49:38Z","snapshot_observed_at":"2026-08-14T17:11:39.854752Z","submitted_at":"2019-02-25T15:49:47Z","title":"Data augmentation using learned transformations for one-shot medical image segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.09383","snapshot_observed_at":"2026-08-14T13:04:04.137155Z","title":"CoRR abs/1902.09383 (2019), http://arxiv.org/abs/ 1902.09383","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:04.137155Z"},"links":{"cited_paper":"/paper/1902.09383","citing_paper":"/paper/1908.05959"},"observation_digest":"sha256:fa6a24c189c2178aa7945f915fc0271661209e08864ead31541cd25ef6c6f7fe","observation_id":"c3800366-b597-46b6-a864-f9745ef91d8d","resolution":{"observed_at":"2026-08-14T13:04:04.137155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.05959","last_updated":"2019-09-17T09:31:53Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T17:48:11.111671Z","submitted_at":"2019-08-16T13:06:18Z","title":"Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":14},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.05959."}