{"as_of":"2026-08-19T19:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:78bfd014abebce7aaadcbc2423215be65da48b6dcf89017cc59beb2bc8a03c11","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:49:14.609401Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"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/1908.00593/citation-record","integrity":"/paper/1908.00593/integrity","json":"/paper/1908.00593/citation-record.json","paper":"/paper/1908.00593"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:49:14.936414Z","title":"Tensorflow: a system for large-scale machine learn- ing","venue":null,"work_id":"4353157e-8d9c-41a6-bdef-ae13d38e98ea","year":2016},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.518412Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:761f452bfcbc447fda748f3560c9f6445a19cd522aa22055d592bee7add37199","observation_id":"d1d1bebc-3726-4dfd-99d7-7f8cf5032c26","resolution":{"observed_at":"2026-08-14T15:49:14.939790Z","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":"2026-08-14T15:49:14.926719Z","title":"Deep learning for photoacoustic tomography from sparse data.Inverse Prob- lems in Science and Engineering , pages 1–19, 2018","venue":null,"work_id":"83797962-a953-4399-a519-c062658d7174","year":2018},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.522244Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:c6d61f07384c14c3f4edbe456ec65e430317c6f51b9c2ebe55327f3380e143fb","observation_id":"dea73a9b-266c-456c-bc1d-939698370795","resolution":{"observed_at":"2026-08-14T15:49:14.929965Z","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":"2026-08-14T15:49:14.917526Z","title":"All-optical photoacoustic projection imaging.Biomedical optics express, 8(9):3938–3951, 2017","venue":null,"work_id":"6646f300-7d65-4aac-8cda-ac9771d1e425","year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.525551Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:16575074c60553b2b6bc5c8cc0b2a565bec491a1add44025a6c7a5d41700a25d","observation_id":"e203dbce-393b-4b63-9061-79e25b69fd29","resolution":{"observed_at":"2026-08-14T15:49:14.920635Z","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":"2026-08-14T15:49:14.908415Z","title":"Temporal back-projection algorithms for photoacous- tic tomography with integrating line detectors","venue":null,"work_id":"d4099868-6438-427d-a3ab-80859736a719","year":2007},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.528783Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:d4a04504e0fcdb3e50446de31ab0222441c789c270192a46b1c328a52bba7ab3","observation_id":"aa895f53-f2b3-4734-ab3c-c45ca4ea9219","resolution":{"observed_at":"2026-08-14T15:49:14.911539Z","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":"2026-08-14T15:49:14.899057Z","title":"Low-dose ct via convolutional neural network.Biomedical optics express, 8(2):679–694, 2017","venue":null,"work_id":"3f443b48-95b4-4a83-90da-a6241f0ca4ee","year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.532462Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:f87f6b14a8da5c307f0107c5bfb17864732d97a7401ae1c3744ba7b266327062","observation_id":"91c24e98-8f08-460f-847c-7b911235059f","resolution":{"observed_at":"2026-08-14T15:49:14.902230Z","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":"2026-08-14T15:49:14.886180Z","title":"Keras.https://github.com/fchollet/keras, 2015","venue":null,"work_id":"aa9f6715-c7e2-4fe4-b094-43940346a529","year":2015},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.535702Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:7e1826416b1c99c2a840da17bc97c782b6c1e680f7301a41e086d6ddfd98a218","observation_id":"04ec026b-d461-46e5-91de-7981a1b11744","resolution":{"observed_at":"2026-08-14T15:49:14.889709Z","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":"2026-08-14T15:49:14.875262Z","title":"Accurate model-based reconstruction algorithm for three- dimensional optoacoustic tomography","venue":null,"work_id":"73cd7f9f-5c0d-4565-93f9-5769e2b68a2c","year":1922},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.539239Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:278b8f26ced50a75a3f6aa7778e49a192eebf69b439edb09ea3e043adada7d49","observation_id":"6b2d4faf-3bba-42c6-86f2-d3748261cf7d","resolution":{"observed_at":"2026-08-14T15:49:14.878981Z","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":"2026-08-14T15:49:14.864469Z","title":"Oper- ator learning approach for the limited view problem in photoacoustic tomography","venue":null,"work_id":"0d636f5f-71ff-4795-a563-c1d5c5aee400","year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.542577Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:ff341c392aae2c4557aa9eec0dfcd22e7e86b3f5907808eb861214694ae2f859","observation_id":"f580e212-11c3-4b17-bd3d-f73979babfeb","resolution":{"observed_at":"2026-08-14T15:49:14.868381Z","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":"2026-08-14T15:49:14.853954Z","title":"Inversion of spherical means and the wave equation in even dimensions","venue":null,"work_id":"3436f446-6de5-43e9-a06d-874de6310542","year":2007},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.545307Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:b361ccb07252fb09be6ff5e08ddbf97bcf32f3a7812144c1bbc4417299db0e0b","observation_id":"db4b6223-71f0-47b9-bc50-8c7efda22aec","resolution":{"observed_at":"2026-08-14T15:49:14.857145Z","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":"2026-08-14T15:49:14.843993Z","title":"Determining a function from its mean values over a family of spheres.SIAM journal on mathematical analysis , 35(5):1213–1240, 2004","venue":null,"work_id":"fea64280-70d9-4d69-8ef5-b9bc2542a98b","year":2004},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.548389Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:b9082268c9cd6b1e0eb256e98e923cdab83c813b2c16c6f0c31ce33547390c20","observation_id":"3a544920-4079-498a-9018-9a99755b817b","resolution":{"observed_at":"2026-08-14T15:49:14.847547Z","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":"2026-08-14T15:49:14.834872Z","title":"Universal inversion formulas for recovering a func- tion from spherical means","venue":null,"work_id":"bfdb5c8f-b585-4f31-b1bd-07b82ae9fa47","year":2014},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.551381Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:1a08c601ae604036166eeb91e6d44e47b6ceb044fdcc38101eed152445b2bfc0","observation_id":"02e0c39c-0afb-46cb-8d20-57246971bad6","resolution":{"observed_at":"2026-08-14T15:49:14.838115Z","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":"1712.10248","last_updated":"2018-01-03T15:54:24Z","snapshot_observed_at":"2026-08-14T19:59:18.531691Z","submitted_at":"2017-12-29T14:59:41Z","title":"Deep Learning Interior Tomography for Region-of-Interest Reconstruction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.10248","snapshot_observed_at":"2026-08-14T15:49:14.554218Z","title":"Deep learning inte- rior tomography for region-of-interest reconstruction","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.554218Z"},"links":{"cited_paper":"/paper/1712.10248","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:cf6b1a70a0cd05b88662b3d30b914d867be24fe2b74ecf0b58a752584e8621eb","observation_id":"d0248874-5f3e-40d8-a40c-740d445c96e5","resolution":{"observed_at":"2026-08-14T15:49:14.554218Z","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":"2026-08-14T15:49:14.825617Z","title":"Model-based learning for accelerated, limited-view 3-d photoacoustic tomography","venue":null,"work_id":"47282e7a-3aa5-4399-9406-a6caff8697c6","year":2018},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.557682Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:7a6c203fc1c02734d0f2dadf59b88dca3e9a39be2e4df80aec4c702001d6bcae","observation_id":"0fce58c2-2070-4717-bd28-7b248dafda9d","resolution":{"observed_at":"2026-08-14T15:49:14.828780Z","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":"1709.00584","last_updated":"2017-09-02T14:15:24Z","snapshot_observed_at":"2026-08-18T21:56:01.052678Z","submitted_at":"2017-09-02T14:15:24Z","title":"Deep Learning-Guided Image Reconstruction from Incomplete Data","version":1},"cited_work":{"arxiv_id":"1709.00584","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.00584","snapshot_observed_at":"2026-08-14T15:49:14.699393Z","title":"Deep Learning-Guided Image Reconstruction from Incomplete Data","venue":"cs.CV","work_id":"8df46e84-7fcb-4c42-b038-6eb1b2f45d16","year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.560869Z"},"links":{"cited_paper":"/paper/1709.00584","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:6644f3e9d37608be1c641aec2e93370c7f1782a54662d73c0dac614069d291ca","observation_id":"f45aa98a-165d-4565-a54b-8b8458525f95","resolution":{"observed_at":"2026-08-14T15:49:14.703613Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:49:14.815681Z","title":"Mathematics of photoacoustic and thermoacoustic tomography","venue":null,"work_id":"35a76d9c-4d5b-4267-b939-c200d5d671bb","year":2011},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.564631Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:bdea1a36ac9303804e3a476f9b299f62bf124f1688fdd66ed46405fe3ef74873","observation_id":"fe82784e-f31e-485e-900b-2a19950cbb80","resolution":{"observed_at":"2026-08-14T15:49:14.818870Z","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":"2026-08-14T15:49:14.805700Z","title":"Explicit inversion formulae for the spherical mean radon transform","venue":null,"work_id":"5841a15d-0c5c-4c0e-9196-2ebc0a68126f","year":2007},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.567602Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:d9d82c080014be1f4918eeda1f8314c41008c538eb0e0ea91a9bf0bc0081ae30","observation_id":"b9c12882-c8bb-4b7d-94bd-b977fc36ca92","resolution":{"observed_at":"2026-08-14T15:49:14.808937Z","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":"1803.00092","last_updated":"2019-12-08T17:13:50Z","snapshot_observed_at":"2026-08-14T19:40:55.901675Z","submitted_at":"2018-02-28T21:23:22Z","title":"NETT: Solving Inverse Problems with Deep Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.00092","snapshot_observed_at":"2026-08-14T15:49:14.570601Z","title":"Nett: Solving inverse problems with deep neural networks.arXiv preprint arXiv:1803.00092, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.570601Z"},"links":{"cited_paper":"/paper/1803.00092","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:2ce044750022450226b9ae98e7556174e38af6e456d5ce2103a62992ea1932df","observation_id":"b0b1f686-4743-4d20-9f29-a58ebf8da3c6","resolution":{"observed_at":"2026-08-14T15:49:14.570601Z","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":"2026-08-14T15:49:14.794671Z","title":"Limited-view photoacoustic imaging based on an iterative adaptive weighted filtered backprojection approach.Applied optics, 52(15):3477–3483, 2013","venue":null,"work_id":"a871d8d1-662d-4129-a5bf-622dc18b47bd","year":2013},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.574466Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:3484a0c13d447965575243e97f21f861a49b4b4db7b552d152d0b4d3e848fdcd","observation_id":"2ad67390-8434-464b-9259-bca3934cf928","resolution":{"observed_at":"2026-08-14T15:49:14.798545Z","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":"0902.2579","last_updated":"2009-03-05T05:15:10Z","snapshot_observed_at":"2026-08-16T15:53:49.162332Z","submitted_at":"2009-02-15T22:29:33Z","title":"A family of inversion formulas in Thermoacoustic Tomography","version":2},"cited_work":{"arxiv_id":"0902.2579","doi":null,"metadata_source":"pith","pith_arxiv_id":"0902.2579","snapshot_observed_at":"2026-08-14T15:49:14.670402Z","title":"A family of inversion formulas in Thermoacoustic Tomography","venue":"math.AP","work_id":"9b366d9f-0ad7-45e3-9d2c-d8f74b76d43e","year":2009},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.577681Z"},"links":{"cited_paper":"/paper/0902.2579","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:7f7add09b14c192740b606c69c460083e5f72e540d01bc0c4f49ff17a6d5a979","observation_id":"5e618546-5ae7-4ae3-b438-444399857569","resolution":{"observed_at":"2026-08-14T15:49:14.676251Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-14T15:49:14.784371Z","title":"Piezoelectric line detector array for photoacoustic tomography","venue":null,"work_id":"0f476a71-5203-4815-9ea5-063b6ca38be5","year":2017},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.582373Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:db2902b038e8d6a55862f6a6f2f92ba17d068496c517f6862f9495b118ee55cd","observation_id":"bdf9f0a7-e7cf-4fec-98d1-ed0b118fea04","resolution":{"observed_at":"2026-08-14T15:49:14.787956Z","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":"2026-08-14T15:49:14.774023Z","title":"Weight factors for limited angle photoacoustic tomography","venue":null,"work_id":"5f3a1618-2413-4afa-a19a-f6aa1e63c72d","year":2009},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.585921Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:7e1a59bd1746b42b3d48139d598a6c551db285830e2e0642bd3712f83a829640","observation_id":"c8414c39-232b-4a50-9739-c6f137a4052e","resolution":{"observed_at":"2026-08-14T15:49:14.777385Z","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":"2026-08-14T15:49:14.763553Z","title":"Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors","venue":null,"work_id":"1828ce51-c4dc-4956-ac46-1dfbe9a77d13","year":2007},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.589088Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:5cbed04642385e5d186f25a52d55ed1a5123aa87dc6126e3748e03c54f02d937","observation_id":"8e58507b-93e2-4af7-b310-ddef5c5dc1b1","resolution":{"observed_at":"2026-08-14T15:49:14.766970Z","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":"2026-08-14T15:49:14.752780Z","title":"Photoacoustic tomography using a mach-zehnder interfer- ometer as an acoustic line detector.Applied optics, 46(16):3352–3358, 2007","venue":null,"work_id":"055273ef-b940-4302-94ba-01059a52e454","year":2007},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.592551Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:cf8cbd2bb15af9c8d4f3c5abc30b96413780e54140b175d07da17dedfa9c0b15","observation_id":"0250313d-fdba-4655-bfcd-5f1e74c6a5ff","resolution":{"observed_at":"2026-08-14T15:49:14.756575Z","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":"1801.06693","last_updated":"2018-08-30T13:19:14Z","snapshot_observed_at":"2026-08-14T19:53:33.328082Z","submitted_at":"2018-01-20T16:02:29Z","title":"Real-time photoacoustic projection imaging using deep learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.06693","snapshot_observed_at":"2026-08-14T15:49:14.596305Z","title":"Real-time photoacoustic projection imaging using deep learning","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.596305Z"},"links":{"cited_paper":"/paper/1801.06693","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:799583802b74310788a4793b9e54ac940224cc0433104db5080d4b4e3943e191","observation_id":"9815f86f-2ef5-4159-9695-a4bb03d58b95","resolution":{"observed_at":"2026-08-14T15:49:14.596305Z","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":"2026-08-14T15:49:14.742920Z","title":"Universal back-projection algo- rithm for photoacoustic computed tomography","venue":null,"work_id":"71e8379c-4752-4037-b368-cf7942f2127e","year":2005},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.600012Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:cfc24e650510f556f2b08e098c6a20d090152411bd4ec9e5ad4955935b3e857a","observation_id":"8d6bf4aa-47e3-4cdd-bdeb-ee180bffdcda","resolution":{"observed_at":"2026-08-14T15:49:14.746325Z","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":"2026-08-14T15:49:14.732196Z","title":"Time reversal and its application to to- mography with diffracting sources.Physical review letters, 92(3):033902, 2004","venue":null,"work_id":"4f3adc65-bc5e-4a66-ae37-585a542d87e0","year":2004},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.603368Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:594e207a5b2ffbbe0dacc5f759d2c138571c1330fe23a669919b0f984cb120fa","observation_id":"3bfb4f96-add9-41e9-b0bc-e8be0b093edf","resolution":{"observed_at":"2026-08-14T15:49:14.736143Z","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":"2026-08-14T15:49:14.722056Z","title":"Photoa- coustic tomography with direction dependent data: An exact series re- construction approach","venue":null,"work_id":"139d2fd5-fa45-4cf7-b578-5001464e5a67","year":2019},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.606290Z"},"links":{"citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:88ac010497d1fe4f9b1dc35a1618b49678284f02bf4a66a091308b3bc72c0be3","observation_id":"b0584bec-1fa8-4345-9408-f399a0db4ed3","resolution":{"observed_at":"2026-08-14T15:49:14.725515Z","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":"1607.08707","last_updated":"2016-07-29T07:31:18Z","snapshot_observed_at":"2026-08-14T21:46:16.044113Z","submitted_at":"2016-07-29T07:31:18Z","title":"Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1607.08707","snapshot_observed_at":"2026-08-14T15:49:14.609401Z","title":"Image prediction for limited-angle tomography via deep learning with convolutional neural network","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:49:14.609401Z"},"links":{"cited_paper":"/paper/1607.08707","citing_paper":"/paper/1908.00593"},"observation_digest":"sha256:23c2858227b668f2d0a2de3a487eb0fa71af3796898f0bf4676abc3e6e2d0aba","observation_id":"dd839d30-51d4-4368-bdcb-31aa6dec4836","resolution":{"observed_at":"2026-08-14T15:49:14.609401Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.00593","last_updated":"2019-08-01T19:40:11Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-18T21:56:02.097898Z","submitted_at":"2019-08-01T19:40:11Z","title":"Learned backprojection for sparse and limited view photoacoustic tomography"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":22},"total_outbound_references":28},"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 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.00593."}