{"as_of":"2026-08-20T05:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:da518a9ebb6ca53e3fa8b6687449a466e13504df4a4832b966a51a3522e1bf53","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:09:15.741892Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"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/1908.05764/citation-record","integrity":"/paper/1908.05764/integrity","json":"/paper/1908.05764/citation-record.json","paper":"/paper/1908.05764"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:09:17.032260Z","title":"Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization,","venue":null,"work_id":"c72f6132-6c60-4958-816c-315cea3d2b47","year":2008},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.385884Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:20e17a5ebbe6fd56565a2ee9827b6b7f83b94e72fc4f5d23311e6efdc1a7b7ab","observation_id":"8e025b4d-135f-415f-912d-9d7efe3f3f79","resolution":{"observed_at":"2026-08-14T13:09:17.039003Z","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":"2026-08-14T13:09:17.005554Z","title":"Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets,","venue":null,"work_id":"e58c5311-a324-4230-8df9-d2259c132fe9","year":2008},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.392205Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:58d7486d62d1dfb0ddc0d39565a244bf3923223f63fe27572b0f81fce6b045a0","observation_id":"5d09d160-521b-459d-a517-32bb5df0de97","resolution":{"observed_at":"2026-08-14T13:09:17.014125Z","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":"2026-08-14T13:09:16.986349Z","title":"Compressed sensing based cone- beam computed tomography reconstruction with a first-order method","venue":null,"work_id":"f7294f78-6376-49cd-bb7b-a99f96cf6f4a","year":2010},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.398588Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:555426f6f7178ae59dc73fe451623b87401222653677747e805101876ab0ea53","observation_id":"be738c59-61c6-42c4-a5bf-9c0e2545d0c9","resolution":{"observed_at":"2026-08-14T13:09:16.992269Z","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":"2026-08-14T13:09:16.964676Z","title":"Low-dose CT reconstruction via edge-preserving total variation regularization,","venue":null,"work_id":"f13d5cc7-3294-4951-9c43-8cffeecaa163","year":2011},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.405136Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:a5569f180daa6be780ece5bb0fb98ce1a6212cb9d9cd2d6820110783b0e9f824","observation_id":"31b21a8e-88a8-44ca-b2de-b632ff479bbf","resolution":{"observed_at":"2026-08-14T13:09:16.971771Z","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":"2026-08-14T13:09:16.946979Z","title":"Compressed sens- ing for ultrasound computed tomography,","venue":null,"work_id":"5fcf6524-789a-421c-a018-4a6589bc0da6","year":2015},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.411528Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:d56a2f74fb1345771b2927fc5aa6f1a4e385762b95f892e5c4822089081f2c22","observation_id":"73fcb670-a82a-4472-97cd-52772bc90393","resolution":{"observed_at":"2026-08-14T13:09:16.951693Z","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":"2026-08-14T13:09:16.930592Z","title":"Compressed sensing reconstruction of 3D ultrasound data using dictionary learning and line- wise subsampling,","venue":null,"work_id":"0ab76f1b-8812-4956-8a2e-d5d76d171086","year":2015},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.417315Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:433e9ea30bb740e29c0d4650342b7fb271efcefbab32c02dcc5c30dc3ca43e9b","observation_id":"b7762da9-b610-4430-bb5f-b7d02f159a1a","resolution":{"observed_at":"2026-08-14T13:09:16.935316Z","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":"2026-08-14T13:09:16.913397Z","title":"Xampling in ultrasound imaging,","venue":null,"work_id":"5fce9cc9-9e3c-41f1-a8d5-2af2fab04654","year":2011},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.424376Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:89314eb527f0ccbcf9e51777524b5ffb6521ed603e5b7ffd9701279a6a251bc0","observation_id":"a398c573-492a-4369-97ae-f849d0c99880","resolution":{"observed_at":"2026-08-14T13:09:16.918278Z","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":"2026-08-14T13:09:16.895162Z","title":"Sparse MRI: The application of compressed sensing for rapid MR imaging,","venue":null,"work_id":"443f469c-8cf1-443a-bdb4-2c6c0f9c85f3","year":2007},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.434106Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:413941f5b5517b2a66a65ae02afb3564d1bf5998a623d8caa8d6c99dc43a7f2b","observation_id":"075ed637-756e-41a7-9741-1efb6f02613d","resolution":{"observed_at":"2026-08-14T13:09:16.901146Z","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":"2026-08-14T13:09:16.878475Z","title":"Compressed sensing MRI,","venue":null,"work_id":"f0dd6b6d-a26f-47ef-99b3-2b28ce8e402d","year":2008},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.439806Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:3fa2d0e4425bd82ae5e9769aeeb2d269d9a3cbc0b30665b78fa640db618411fb","observation_id":"88f1f198-87b7-4ead-bcbd-5bf4178e3dd0","resolution":{"observed_at":"2026-08-14T13:09:16.884255Z","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":"2026-08-14T13:09:16.857134Z","title":"Acuson freestyle series ultrasound systems,","venue":null,"work_id":"c47cd3d7-b76e-4399-9d31-98c61d59bf34","year":2020},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.447926Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:7e227c0b2fe4a88e9db027722c97c76d41fe9ba24e00b291c11e61b411bf08e6","observation_id":"c3f66244-ae22-4798-ae4e-808327d76f98","resolution":{"observed_at":"2026-08-14T13:09:16.864830Z","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":"2026-08-14T13:09:16.835143Z","title":"Butterfly iq,","venue":null,"work_id":"f35566db-bd47-4a22-852c-d64868849f8e","year":2020},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.454136Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:716c649b519495ce52acb3e41cfe65ba606a8fc565a5f7b0c7b1a76fbef8ca4b","observation_id":"b897d4b8-32ea-43f9-af31-a85e38fb9b7e","resolution":{"observed_at":"2026-08-14T13:09:16.841769Z","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":"2026-08-14T13:09:16.816210Z","title":"Ultrasound probe,","venue":null,"work_id":"06782648-eb8e-4f7d-b4c4-e1df23485f2b","year":2019},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.459863Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:64279638a339dbd3844c802fc2386b46a09e479dd99b034c5a0cb2603d738a13","observation_id":"e3785017-c5f0-4e47-81ad-4d738d87fc43","resolution":{"observed_at":"2026-08-14T13:09:16.821576Z","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":"2026-08-14T13:09:16.795261Z","title":"3D ultrafast ultrasound imaging in vivo,","venue":null,"work_id":"72541f37-58e6-457d-b759-558cea413603","year":2014},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.465616Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:41e069761417b647c41c0cd37c72e3f74fb5095ec6178559d5ee9350d7f6c814","observation_id":"138128f4-af09-4d73-be56-df3cce06148e","resolution":{"observed_at":"2026-08-14T13:09:16.801271Z","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":"2026-08-14T13:09:16.778650Z","title":"Ultrafast imaging in biomedical ultrasound,","venue":null,"work_id":"e2df5b95-36cc-4f36-9c3c-34e5eab02874","year":2014},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.471157Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:d94bcf34b077dcffde772c0fa6b9e8cb3b8d7b1f98ed94391b73958a2c4eca72","observation_id":"5934b5f2-68ac-480a-a079-36167d671f67","resolution":{"observed_at":"2026-08-14T13:09:16.784406Z","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":"2026-08-14T13:09:16.760170Z","title":"2-D phased array ultrasound imaging system with distributed phasing,","venue":null,"work_id":"d4c24d79-a8fd-487e-969e-902e0bb4d76e","year":1993},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.476632Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:23e543a263bfdd30f9b876d384f9d284aad84ae12b499b34f071a1361bd40c41","observation_id":"aa5faa25-d9ad-4f7d-92dc-bedc7ce125f5","resolution":{"observed_at":"2026-08-14T13:09:16.766768Z","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":"2026-08-14T13:09:16.741039Z","title":"4-D ice: A 2-D array transducer with integrated asic in a 10-fr catheter for real-time 3-D intracardiac echocardiography,","venue":null,"work_id":"52396f0e-f8d5-483f-8e50-abe8c50e7ff7","year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.481867Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:3f1516d805be60e3f811de37b3175018b8eb30894f40322f6be26dffb0760547","observation_id":"eadc9fdf-92a4-4c59-a6c9-0f7c40461782","resolution":{"observed_at":"2026-08-14T13:09:16.746314Z","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":"2026-08-14T13:09:16.722276Z","title":"Stable signal recovery from incomplete and inaccurate measurements,","venue":null,"work_id":"200b8ce3-c551-4739-bbbe-c948146ffa09","year":2006},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.486511Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:6559d225819ace8f3f671426ec57555830c97124f0d7464aabde6f244962251e","observation_id":"74958fd5-02f1-4e78-a134-01722da7c4a9","resolution":{"observed_at":"2026-08-14T13:09:16.729343Z","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":"2026-08-14T13:09:16.706134Z","title":"Decoding by linear programming,","venue":null,"work_id":"ab72e8d3-0df3-4b4b-98b7-ceeb48683336","year":2005},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.491944Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:1f7249c86dfef0d01daf731e695bca081375d340fc35b9ebcdca9edb40afab16","observation_id":"8f54688e-9a3a-4978-9bc2-87171d6591cc","resolution":{"observed_at":"2026-08-14T13:09:16.711360Z","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":"2026-08-14T13:09:16.687680Z","title":"Compressive sampling,","venue":null,"work_id":"660da631-3a55-4476-95e7-ff6b01b800ef","year":2006},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.497502Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:18b91527ee36af7cb2c28d8098ea6f6a3367d802768deb0fa14d044e7f319105","observation_id":"0a8802cb-1ec6-485d-b0d5-2560b9d09adf","resolution":{"observed_at":"2026-08-14T13:09:16.693414Z","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":"2026-08-14T13:09:16.669489Z","title":"Near-optimal signal recovery from random projections: Universal encoding strategies?","venue":null,"work_id":"de92583e-1bee-4fd6-8b42-14e9797f67de","year":2006},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.503680Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:c1d56a6e11d92f61c99db2232d0c022888fd0a9e535b895ce220399216c20589","observation_id":"2a02d247-071b-435d-b067-b4a0868ef619","resolution":{"observed_at":"2026-08-14T13:09:16.675939Z","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":"2026-08-14T13:09:15.509515Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.509515Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:c3c82b8ef3d603cfd76a538ca79ee1132eab0ffde954afb45860879c796c0a71","observation_id":"1764f316-975b-4544-8d44-5f3f483d0360","resolution":{"observed_at":"2026-08-14T13:09:15.509515Z","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":"2026-08-14T13:09:16.602542Z","title":"The restricted isometry property and its implications for compressed sensing,","venue":null,"work_id":"dd301c0f-9f9d-498c-9b43-012c0e63a4c8","year":2008},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.514435Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:0333be1c03210dd8967a2c85280af9dae0622becd48292723c266e9a69bc9d02","observation_id":"fffd7620-fce3-4582-9d65-e932aebbac13","resolution":{"observed_at":"2026-08-14T13:09:16.646460Z","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":"2026-08-14T13:09:15.523243Z","title":"An iterative thresholding algorithm for linear inverse problems with a sparsity constraint,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.523243Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:bc498e541eb73bebf3194dd8caa0b4025f734ad01b664272961a0d2c27e5ee0f","observation_id":"bb169956-5e8f-4f82-8d82-c470d300bf10","resolution":{"observed_at":"2026-08-14T13:09:15.523243Z","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":"2026-08-14T13:09:16.560827Z","title":"A deep learning approach to ultrasound image recovery,","venue":null,"work_id":"55cbf572-5761-4c29-a140-2098177d81bd","year":2017},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.529569Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f831cffde418b511d67f00308d6f965f87b9a4e0ee0b16e71ca709d014806bf7","observation_id":"c751b693-ccf6-449a-b2eb-1e4116c62489","resolution":{"observed_at":"2026-08-14T13:09:16.577231Z","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":"2026-08-14T13:09:16.489361Z","title":"Reconnet: Non-iterative recon- struction of images from compressively sensed measurements,","venue":null,"work_id":"2732170a-e12c-4a35-a9dc-6683da482588","year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.534725Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:2e2b180aeaf5eeae1248277d299e9bc213deca85adb10fa9c9653e5eed8ba508","observation_id":"9d33ca57-9a6d-444c-99fe-ac1390a00818","resolution":{"observed_at":"2026-08-14T13:09:16.514164Z","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":"2026-08-14T13:09:16.469826Z","title":"Categorical reparametrization with gumbel-softmax,","venue":null,"work_id":"d576d5a7-e3b9-4e4a-a9e6-75b1f538d70c","year":2017},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.540223Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:9f8046bb657a9829ced41ae627f6967e55e5afa5ea6789156659deb251eb337a","observation_id":"033940bd-75a0-4f73-96ec-429aaf493034","resolution":{"observed_at":"2026-08-14T13:09:16.476372Z","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":"1611.00712","last_updated":"2017-03-05T16:59:44Z","snapshot_observed_at":"2026-08-15T03:06:21.621383Z","submitted_at":"2016-11-02T18:25:40Z","title":"The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.00712","snapshot_observed_at":"2026-08-14T13:09:15.546364Z","title":"The concrete distribution: A continuous relaxation of discrete random variables,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.546364Z"},"links":{"cited_paper":"/paper/1611.00712","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:60bb592a5a9cbe2356d0396914d695e8e3b7ab9d4c92b1e7d227b6ca82dfab15","observation_id":"3a21c268-be83-467a-aaab-fd2753c1450d","resolution":{"observed_at":"2026-08-14T13:09:15.546364Z","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":"2026-08-14T13:09:16.448487Z","title":"Deep probabilistic subsampling for task-adaptive compressed sensing,","venue":null,"work_id":"bbcf281a-84aa-4d91-a1e7-7491b07d34e0","year":2020},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.552609Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:fd22a645a2df4f570f0f966b83078dc6a0c2535630d3d34d158f1e528880be06","observation_id":"65db506d-7f3c-4072-a929-cc4aaeadbc99","resolution":{"observed_at":"2026-08-14T13:09:16.455167Z","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":"2026-08-14T13:09:16.414371Z","title":"k-t BLAST and k-t SENSE: dynamic MRI with high frame rate exploiting spatiotemporal correlations,","venue":null,"work_id":"f0c16073-d724-4d26-a288-b68521a80c30","year":2003},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.558774Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:bc69bec3d7cb40b94e3c73ee6bb568120f359d80b8124f4198737986a88b859b","observation_id":"c94125e6-b735-4c33-b1ec-37b73b07456f","resolution":{"observed_at":"2026-08-14T13:09:16.433915Z","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":"2026-08-14T13:09:16.392636Z","title":"Fourier-domain beamforming: the path to compressed ultrasound imaging,","venue":null,"work_id":"61d57f09-0e2c-43c3-975c-c369a921edf0","year":2014},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.564374Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:71471d16febfdacf6eb8d4887a000ef756d3e4e58380e7d814b9f101cf8ebab4","observation_id":"c3b08098-3740-4903-98ae-9bebf1ad1e57","resolution":{"observed_at":"2026-08-14T13:09:16.399263Z","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":"2026-08-14T13:09:16.370110Z","title":"A compressed beamforming framework for ultrafast ultrasound imaging,","venue":null,"work_id":"c75e123b-08ba-44b1-94ba-6153c8a5728e","year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.570039Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:45b12d861c9c3b1855525a48eacd5d4f78fc5a8f8b81f752d46bfddf9f54f898","observation_id":"ff1b70f6-41d9-492d-8273-263e41f0cc51","resolution":{"observed_at":"2026-08-14T13:09:16.376287Z","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":"2026-08-14T13:09:16.353041Z","title":"Maximally economic sparse arrays and cantor arrays,","venue":null,"work_id":"a4633d01-7d1e-4198-bd5a-f593b0066ab2","year":2017},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.575371Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:87be075fe830127280a6236a570b275b543a205b017ff85336d19bc1a367082d","observation_id":"84681722-1d6d-475a-bd0f-9c2234c25438","resolution":{"observed_at":"2026-08-14T13:09:16.358562Z","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":"2026-08-14T13:09:16.331073Z","title":"Sparse doppler sensing based on nested arrays,","venue":null,"work_id":"3f56dbbc-c906-4d2a-9608-587dbb6c1bb1","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.580351Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:45ec8647ba8f06e2cce66c701eaa23dbaacede86f949e4f6a58295d49a9e9384","observation_id":"d5ac89bf-2233-4739-8efa-dc8237cec5c2","resolution":{"observed_at":"2026-08-14T13:09:16.338544Z","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":"2026-08-14T13:09:16.311596Z","title":"Sparse 2-D arrays for 3-D phased array imaging-design methods,","venue":null,"work_id":"8ada76c3-1216-4f7e-b3c6-7649f0dcd3a2","year":2002},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.585592Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:161ed8623af135429dde8b269602ec104540e11e3e0628cf8e08a5aac4c198a3","observation_id":"426801e2-6b16-46a6-b59f-3d20cbf2bc5f","resolution":{"observed_at":"2026-08-14T13:09:16.317640Z","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":"2026-08-14T13:09:16.290570Z","title":"Sparse convolutional beamforming for ultrasound imaging,","venue":null,"work_id":"1799fe07-9e5b-49ad-86fd-70e969102a3d","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.592819Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f38dbf5c718babaf7e652f2abca907778d648c294a49ace461ee9c63943dec59","observation_id":"65edf56f-ba3d-4948-bf50-00abb6f50f56","resolution":{"observed_at":"2026-08-14T13:09:16.296299Z","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":"2026-08-14T13:09:16.271358Z","title":"A deep learning approach to structured signal recovery,","venue":null,"work_id":"ccd18ed8-e310-473e-b01b-733cee7154ee","year":2015},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.598721Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:abfd1791c358b9794755b7bd60f7805ab56083c97e24e1d6b12515c343b04621","observation_id":"5fe4f7e5-5452-4af3-9409-866af9ef2f5b","resolution":{"observed_at":"2026-08-14T13:09:16.277556Z","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":"2026-08-14T13:09:16.252988Z","title":"Learning to invert: Signal recovery via deep convolutional networks,","venue":null,"work_id":"1f5b89d4-e57f-4f00-8bd8-99de773bb009","year":2017},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.604629Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f124a4d5469fa0a3c0a212a3fb09878d103f2410a179259538cf9a27d7df9573","observation_id":"08846b2d-0cf5-4ae9-9b0c-ea7fd7fa5dc1","resolution":{"observed_at":"2026-08-14T13:09:16.258836Z","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":"1610.09615","last_updated":"2016-10-30T07:54:19Z","snapshot_observed_at":"2026-08-14T21:32:51.061536Z","submitted_at":"2016-10-30T07:54:19Z","title":"Compressed Learning: A Deep Neural Network Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.09615","snapshot_observed_at":"2026-08-14T13:09:15.610759Z","title":"Compressed learning: A deep neural network approach,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.610759Z"},"links":{"cited_paper":"/paper/1610.09615","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:7dbc68e33a7cd09a641269fba017acc06d2b3e2e8ae347d2d12933fb4add19ad","observation_id":"4bb8279b-9384-4299-8c96-e6854e82b4a1","resolution":{"observed_at":"2026-08-14T13:09:15.610759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01519","last_updated":"2016-06-05T14:40:54Z","snapshot_observed_at":"2026-08-19T08:03:48.604178Z","submitted_at":"2016-06-05T14:40:54Z","title":"A Deep Learning Approach to Block-based Compressed Sensing of Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.01519","snapshot_observed_at":"2026-08-14T13:09:15.617454Z","title":"A deep learning approach to block- based compressed sensing of images,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.617454Z"},"links":{"cited_paper":"/paper/1606.01519","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:3073238340600c4423eb7961c1b31e7582f20afb48c194983aea0b0ed36a2f55","observation_id":"c475c018-b5ae-4e1c-b525-c41e54653060","resolution":{"observed_at":"2026-08-14T13:09:15.617454Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.10342","last_updated":"2018-01-31T08:22:53Z","snapshot_observed_at":"2026-08-17T15:04:53.943907Z","submitted_at":"2018-01-31T08:22:53Z","title":"ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning","version":1},"cited_work":{"arxiv_id":"1801.10342","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.10342","snapshot_observed_at":"2026-08-14T13:09:15.850189Z","title":"ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning","venue":"cs.CV","work_id":"f3a5a008-3492-4f67-ba4c-0588d2d6e284","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.626261Z"},"links":{"cited_paper":"/paper/1801.10342","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f0740316cb71bf9237203ebd336d668c42402d3fda3a70758b479612fea403ed","observation_id":"bb489f8f-c66d-456b-809a-fdae956eebda","resolution":{"observed_at":"2026-08-14T13:09:15.857001Z","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":"2026-08-14T13:09:16.232707Z","title":"Statistical theory of extreme values and some practical applications,","venue":null,"work_id":"f245a87f-744a-40b8-9d9c-73a779d7d979","year":1954},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.632681Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:87edc8365aba5777ab9f477f9e751e0f1bf7de586f7d57f36a294509d4ac2767","observation_id":"9a5acb5b-c7cc-417e-8204-516c97729be7","resolution":{"observed_at":"2026-08-14T13:09:16.239004Z","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":"2026-08-14T13:09:16.211993Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":"18c904d8-c346-4d61-b183-e4406fa0dfc2","year":2014},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.639264Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:144d6b6e0be1368dd2510a7fb2fde3bd81d4718a05ade9e078fbc87e72661483","observation_id":"894d69c1-666e-405c-b1a9-522c20340164","resolution":{"observed_at":"2026-08-14T13:09:16.218916Z","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":"2026-08-14T13:09:16.191943Z","title":"Keras: Deep learning library for theano and tensorflow,","venue":null,"work_id":"b2fe3d47-792a-4523-9b3f-863e8fa0fd68","year":2015},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.648036Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:3b9870276364c02045dfde36e7a21136242172b8d6e072fb90e9412b12585d56","observation_id":"1861b425-25f5-461a-950e-14ce9b2f7701","resolution":{"observed_at":"2026-08-14T13:09:16.198234Z","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":"2026-08-14T13:09:16.170242Z","title":"Tensorflow: A system for large- scale machine learning,","venue":null,"work_id":"91da88f3-1190-4357-9f32-dd7ad6ef8c47","year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.653316Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:4aa60516ff56258a229763e5a5eb7de17c0f67407fa72567c6ae103382a994d0","observation_id":"890c68d0-77b2-4dd2-b230-176234fcc12c","resolution":{"observed_at":"2026-08-14T13:09:16.177263Z","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":"2026-08-14T13:09:16.151739Z","title":"Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI,","venue":null,"work_id":"cd14655c-9ccc-4d14-af73-4b06d627c346","year":2010},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.659144Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:fa4a48ca31e5237209e81734619561dfdaac6dbb99c19a60e2fa1c304d945d94","observation_id":"70470bd8-46d4-4d76-b5f4-ed777c8ffe03","resolution":{"observed_at":"2026-08-14T13:09:16.157335Z","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":"2026-08-14T13:09:16.131786Z","title":"Learning fast approximations of sparse coding,","venue":null,"work_id":"64ee0b6b-1d85-4684-8913-a4a7d667b7e7","year":2010},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.664115Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:419518faadbb235dda549d3e68cbec730c82103c5e6255f0c77a0141b5b8093c","observation_id":"32f75d56-fc97-4ce3-8ddd-d613d0013810","resolution":{"observed_at":"2026-08-14T13:09:16.138253Z","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":"2026-08-14T13:09:16.111531Z","title":"Theoretical linear convergence of unfolded ista and its practical weights and thresholds,","venue":null,"work_id":"d5f337b4-a8d0-4e83-9a54-9923414642a4","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.669799Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:10cd9fe0291fcadee4e8484c2d2754d4249b1e1b47f673eaa0b9b418aa0e02f5","observation_id":"8f77b840-7e57-43c8-b485-b65c833bbd01","resolution":{"observed_at":"2026-08-14T13:09:16.117613Z","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":"2026-08-14T13:09:16.092979Z","title":"Smooth sigmoid wavelet shrinkage for non-parametric estimation,","venue":null,"work_id":"79be19d5-6d39-41d0-86ab-5ce10a10932c","year":2008},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.675756Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:b9a9a2c332ddd20a88e842ceae393810484795dc0d086ed4da23777662286093","observation_id":"c0abcad6-0466-4f77-87f1-71b10d1ab319","resolution":{"observed_at":"2026-08-14T13:09:16.098644Z","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":"2026-08-14T13:09:16.072936Z","title":"Learning Doppler with deep neural networks and its application to intra-cardiac echography,","venue":null,"work_id":"82563b9c-5bba-43c1-a785-f6d5f633f307","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.680558Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:b029952e35b156dc268ac469e6d25f15ebe2456ccdbe7d36e543625e13726ddc","observation_id":"abe44def-ff4b-486e-bf6e-2838703164ad","resolution":{"observed_at":"2026-08-14T13:09:16.078809Z","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":"2026-08-14T13:09:16.053535Z","title":"Deep learning in ultrasound imaging,","venue":null,"work_id":"cdc34b8b-480e-45d8-af1c-5aee83c4525e","year":2019},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.685779Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:9cf2d1b68f02e62e0ed88480140007c12e4df92ba49066535ec2da6ddb38dc54","observation_id":"29b48cab-10ff-458d-a344-d90c2145edbe","resolution":{"observed_at":"2026-08-14T13:09:16.059147Z","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":"2026-08-14T13:09:16.033475Z","title":"Real-time two-dimensional blood flow imaging using an autocorrelation technique,","venue":null,"work_id":"06ab99c1-6642-4adb-9b72-5b876a7f5e53","year":1985},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.691521Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f9ae7dd073be2b610f9d5e155854c783005fa91e713ece6753a60e1c5d8afc72","observation_id":"b5ff6d91-8d24-4f50-97e5-ba02548af671","resolution":{"observed_at":"2026-08-14T13:09:16.040846Z","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":"2026-08-14T13:09:15.697018Z","title":"Goodfellow, Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.697018Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:caced2f5cb08f76ce437c7cce2d4ec52191d96ba35ed9d249f264ac1c9702d3d","observation_id":"7f57ca2e-1fb6-4f6a-b3fb-26fa8d4ae2df","resolution":{"observed_at":"2026-08-14T13:09:15.697018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1505.00853","last_updated":"2015-11-27T06:58:14Z","snapshot_observed_at":"2026-08-14T22:49:52.991256Z","submitted_at":"2015-05-05T01:16:39Z","title":"Empirical Evaluation of Rectified Activations in Convolutional Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.00853","snapshot_observed_at":"2026-08-14T13:09:15.702444Z","title":"Empirical evaluation of rectified activations in convolutional network,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.702444Z"},"links":{"cited_paper":"/paper/1505.00853","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:3c2f76c567632b82fe5919338d33fe2b5fab79abbaa653ba2cce9a85be13abd1","observation_id":"7a4ac0c3-5173-480f-bbca-45c76cd84b67","resolution":{"observed_at":"2026-08-14T13:09:15.702444Z","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":"2026-08-14T13:09:15.998384Z","title":"High-frame-rate echocardiography using diverging transmit beams and parallel receive beamforming,","venue":null,"work_id":"94b92baf-3843-47d8-b47f-b2feff308712","year":2011},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.708041Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:8be7f721a45f30bdb1db4f2b19e324c0eb0fc12b1b04b14b1fe0395c6c73093d","observation_id":"4db0918d-2f32-464f-9dbc-fc0943c7c2c8","resolution":{"observed_at":"2026-08-14T13:09:16.005241Z","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":"2026-08-14T13:09:15.978900Z","title":null,"venue":null,"work_id":"35c07216-99d1-45a4-a5bf-219929a28880","year":2004},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.712774Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:f566d8e22de0aea4de7dd918530bfebf10712321ddd29403e87d6f798e0f82f8","observation_id":"cd2cf433-1147-47a4-9d52-07e78b657304","resolution":{"observed_at":"2026-08-14T13:09:15.984524Z","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":"2026-08-14T13:09:15.961699Z","title":"Deep image prior,","venue":null,"work_id":"e3609b40-a16f-43a7-9bb3-1287a07dde2e","year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.718343Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:6cf1db131fee8e09c9fc2329c0e8b59743b0362c859a824ba5f2d2ff0c34a97d","observation_id":"4792fa8f-8cce-480a-b474-14f1aa43a16e","resolution":{"observed_at":"2026-08-14T13:09:15.967144Z","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":"2026-08-14T13:09:15.942866Z","title":"Deep learning for fast adaptive beamforming,","venue":null,"work_id":"a1ce5395-64cc-4bb7-a500-601696e9b34c","year":2019},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.724772Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:a77d1de6530e3866cf586d86027bfb289c7c4a87e394f912e0e649417ffc73f2","observation_id":"66d040d2-bdc8-4936-8717-80f139579b87","resolution":{"observed_at":"2026-08-14T13:09:15.948498Z","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":"1909.10342","last_updated":"2019-09-23T12:53:51Z","snapshot_observed_at":"2026-08-08T12:21:05.345591Z","submitted_at":"2019-09-23T12:53:51Z","title":"Adaptive Ultrasound Beamforming using Deep Learning","version":1},"cited_work":{"arxiv_id":"1909.10342","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.10342","snapshot_observed_at":"2026-08-14T13:09:15.800502Z","title":"Adaptive Ultrasound Beamforming using Deep Learning","venue":"eess.SP","work_id":"359251df-05ba-4b8b-b853-be2156529d31","year":2019},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.730214Z"},"links":{"cited_paper":"/paper/1909.10342","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:42d6ec2ed182c039b57f1ed647f2fb36ddf70708520c1da595c3ad260c43bfc9","observation_id":"887406b4-9fa9-4c5f-9e18-576385981ea6","resolution":{"observed_at":"2026-08-14T13:09:15.808072Z","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":"2026-08-14T13:09:15.923151Z","title":"Super- resolution ultrasound imaging,","venue":null,"work_id":"adc2f125-2bea-4dd6-90a6-767954ed6d93","year":2020},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.736369Z"},"links":{"citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:ba3b85edd6c791a14d63438d9a7ee86d6af8d4c3f2930066a33d22d535ccfc3f","observation_id":"ffe24c14-784d-416b-8d07-6691e38eedcf","resolution":{"observed_at":"2026-08-14T13:09:15.929344Z","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":"1804.07661","last_updated":"2018-12-13T15:13:22Z","snapshot_observed_at":"2026-08-19T17:14:57.031777Z","submitted_at":"2018-04-20T15:12:05Z","title":"Super-resolution Ultrasound Localization Microscopy through Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07661","snapshot_observed_at":"2026-08-14T13:09:15.741892Z","title":"Super-resolution ultra- sound localization microscopy through deep learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging","version":5},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T13:09:15.741892Z"},"links":{"cited_paper":"/paper/1804.07661","citing_paper":"/paper/1908.05764"},"observation_digest":"sha256:9c86aba788401ee3beef308b9af198f26f79419069eda9bf35c3fd6df50d724e","observation_id":"a5797f88-4891-4857-a78f-f70d9223039d","resolution":{"observed_at":"2026-08-14T13:09:15.741892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.05764","last_updated":"2020-10-23T10:45:37Z","latest_version":5,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T10:08:32.173045Z","submitted_at":"2019-08-15T21:03:42Z","title":"Learning Sub-Sampling and Signal Recovery with Applications in Ultrasound Imaging"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":2,"verified_fuzzy":49},"total_outbound_references":60},"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 20 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:1908.05764."}