{"as_of":"2026-08-20T20:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d1eac57656346f22c98686bea78aa84656b54c7162fa3f213a5b004dbd0f1970","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:59:36.910767Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/1908.08431/citation-record","integrity":"/paper/1908.08431/integrity","json":"/paper/1908.08431/citation-record.json","paper":"/paper/1908.08431"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:59:37.061835Z","title":"Volume 38., Elsevier (2008) 199–208","venue":null,"work_id":"c7bf23fe-9166-40ab-ae8e-cffa9d422742","year":2008},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.868546Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:c5f0f52fa59155e5b8a21441ea9c5d2b82eeab1f61afdb5e6720094218e8fdf7","observation_id":"2d055a05-4af2-4a5c-98c3-97c4e9f0cc09","resolution":{"observed_at":"2026-08-14T11:59:37.065281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:37.051033Z","title":"Neu- roimage 147 (2017) 346–359","venue":null,"work_id":"928312d1-5df6-4bc5-908f-91fbf1447267","year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.872759Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:e21c9619650e1e27b87776cfc46d6530155df6fb1dbd2609846e1d6e26276ca7","observation_id":"5d154b65-25d0-4017-94a8-9d2a2860ea8a","resolution":{"observed_at":"2026-08-14T11:59:37.055515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:37.039697Z","title":"IEEE TMI 33(12) (2014) 2332–2341","venue":null,"work_id":"7e96a208-94a0-4603-85bb-2db623d9e1b7","year":2014},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.876396Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:082415c0787c21b513beed7af439b6ebb841b98147a9e626c8d8abc7fffc9aae","observation_id":"e52c4b98-f8c2-4110-a403-eb15d4f714db","resolution":{"observed_at":"2026-08-14T11:59:37.043650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.10593","last_updated":"2020-08-24T16:51:03Z","snapshot_observed_at":"2026-08-18T06:11:58.084027Z","submitted_at":"2017-03-30T17:44:17Z","title":"Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.10593","snapshot_observed_at":"2026-08-14T11:59:36.880087Z","title":"arXiv preprint arXiv:1703.10593 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.880087Z"},"links":{"cited_paper":"/paper/1703.10593","citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:ffe885dcde46db2c0182ff05c35cc0415d4c30c6235c5d9aeac95be6427de95e","observation_id":"7e0ce3f1-a7b4-4d1e-8c06-606aadc39e3a","resolution":{"observed_at":"2026-08-14T11:59:36.880087Z","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":"2026-08-14T11:59:37.028156Z","title":"In: SASHIMI, Springer (2017) 14–23","venue":null,"work_id":"00e56355-a5d2-4393-ade0-8cd343d256de","year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.883894Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:dd2ea90ad287c224eccde4dfc23f9a8a1ab6339ca22df9027cc28375b8ed026e","observation_id":"62f6b729-601e-4e9d-bd9f-a5e9e59bd7b3","resolution":{"observed_at":"2026-08-14T11:59:37.032280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:37.017157Z","title":"In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Springer International Publishing (2018) 174–182","venue":null,"work_id":"69db5aae-010c-4462-8fc5-c16d5ac1e4a7","year":2018},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.887793Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:9b5281ad6597da3b4d46d09d778583e36d6674da1dc042edbe5418a9b30da41f","observation_id":"405edb3c-bf2e-40c9-81e2-039b87cdebe2","resolution":{"observed_at":"2026-08-14T11:59:37.021427Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:37.005862Z","title":"Sensors 19(10) (2019) 2361","venue":null,"work_id":"dbec93e0-a5e1-4bbe-a538-a2f93feca31e","year":2019},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.892822Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:9c05c11b3544027ef8a591c38bd2af201d6ae8785809a65ce5fde901355899aa","observation_id":"e903f119-cf6e-410f-8a35-d45b5b4b3b1f","resolution":{"observed_at":"2026-08-14T11:59:37.009783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:36.996030Z","title":"In: Proceedings of the IEEE ICCV","venue":null,"work_id":"95d13d20-bb0a-4df4-a3f3-9fed2ebada6d","year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.896100Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:8232396af79736961afb0ab118418ef2fbb0c174633fc2d7ab54d64c1ccd0423","observation_id":"4b45546f-2ed6-4a94-be70-cc85f64bc7ae","resolution":{"observed_at":"2026-08-14T11:59:36.999305Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:36.985000Z","title":"In: IPMI, Springer (2017) 348–360","venue":null,"work_id":"189e2fa6-33d7-4008-aefa-aa9b86290e20","year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.899787Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:c157802a1f7d45f648e4662ce4d147d013d11a4367265265a30e233dc0f4133b","observation_id":"61a5429b-5144-4974-96f9-817f24f189f1","resolution":{"observed_at":"2026-08-14T11:59:36.989443Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"1709.03485","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.03485","snapshot_observed_at":"2026-08-14T11:59:36.939697Z","title":"NiftyNet: a deep-learning platform for medical imaging","venue":"cs.CV","work_id":"0bd9666f-7f35-477d-9c0f-ef489cc83ab6","year":2017},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.903159Z"},"links":{"cited_paper":"/paper/1709.03485","citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:7f5fec69fbd0938efcf4bfca1f6b86b86d9c5a06587f60db235654adf68617d8","observation_id":"0f79aa05-a2dd-46f2-9ba0-2c096eaa0b7d","resolution":{"observed_at":"2026-08-14T11:59:36.946266Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:36.974364Z","title":"Computer methods and programs in biomedicine 98(3) (2010) 278–284","venue":null,"work_id":"7b526372-81df-4c51-b557-a78b48d5ab15","year":2010},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.906495Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:0cc22824985cb9359fa8bc316d4b90dbd1dad9a5e499404df498e60b0f638335","observation_id":"75417e18-1b03-461d-8872-562e7eb538b9","resolution":{"observed_at":"2026-08-14T11:59:36.978051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-14T11:59:36.963351Z","title":"Neuroinformatics 16(1) (2018) 95–115","venue":null,"work_id":"4d5d1830-9d37-43da-bfd4-dcdc2efa2c72","year":2018},"citing_paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:59:36.910767Z"},"links":{"citing_paper":"/paper/1908.08431"},"observation_digest":"sha256:01389be28514a6bd5f22041679083b7bd6590815e2630a39a2d9db77351db1cd","observation_id":"4182d689-1b78-4ef0-8aa2-a184cfeed80a","resolution":{"observed_at":"2026-08-14T11:59:36.967681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.08431","last_updated":"2019-08-27T19:27:40Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-18T06:12:21.699959Z","submitted_at":"2019-08-21T12:47:29Z","title":"Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":10},"total_outbound_references":12},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1908.08431."}