{"as_of":"2026-08-20T13:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e486e563b28cbe60fe4983bc130cdd27a5b77b13793e56fe87c5cdb5999699d2","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T06:04:14.062584Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1909.00240/citation-record","integrity":"/paper/1909.00240/integrity","json":"/paper/1909.00240/citation-record.json","paper":"/paper/1909.00240"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.935486Z","title":"Statistical image reconstruction for polyenergetic X-ray computed tomogra- phy,","venue":null,"work_id":"a667f36f-d8ec-4f20-b6fe-29e7c1c47fb9","year":2002},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.827719Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:d5a325b6fa52417c5c60b68c2cb998f79cfcc1ae5cc670d26b082e36d673cc28","observation_id":"c8b13ead-e610-4d96-ad47-304f109ace11","resolution":{"observed_at":"2026-08-14T06:04:14.939970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.921519Z","title":"Modeling and pre-treatment of photon- starved CT data for iterative reconstruction,","venue":null,"work_id":"d10bfb66-33c2-4bae-871c-3a78bb893656","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.832909Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:1728617b26105f98f591d29641086dafb2b212b00a8c0493e062e6cb898cf613","observation_id":"e2adfedf-2e89-47d2-b326-e68e0cb53337","resolution":{"observed_at":"2026-08-14T06:04:14.925882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.907271Z","title":"Variable splitting techniques for discrete tomography,","venue":null,"work_id":"6afd9ad3-f170-4a79-837c-36b2272b0f91","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.837411Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:ef70a86899e8c6df22014903a94778e22304d75da03d8d6c20dd52787391d26f","observation_id":"1c0567fc-ca92-4f30-96f6-2b6bc670a2d3","resolution":{"observed_at":"2026-08-14T06:04:14.911423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.893244Z","title":"TIMBIR: A Method for Time-Space Reconstruc- tion from Interlaced Views,","venue":null,"work_id":"2d2f94e5-06c7-4ff1-8557-aebd5c818652","year":2015},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.842073Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:e2e0a29423bc946cabce3f8ad0e330e82389211833aa4a5403147ac089f07d01","observation_id":"86461d25-3d1d-4eeb-a197-27f811df719f","resolution":{"observed_at":"2026-08-14T06:04:14.897749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.879153Z","title":"Carmignato, W","venue":null,"work_id":"5639e4f6-96ad-4ccb-b6c9-44e4184935cf","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.846356Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:0798629f6e54dd6c71e6bbc54e9b084379eb0bcbc885fe165682f82e10b3e2a2","observation_id":"9f1b13ff-32d8-47e0-a652-31d1b0d99232","resolution":{"observed_at":"2026-08-14T06:04:14.883849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.864261Z","title":"Learning-Based Object Identification and Segmentation Using Dual-Energy CT Images for Se- curity,","venue":null,"work_id":"67945e32-e783-4da4-8d00-499266305460","year":2015},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.850586Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:cace6e69c1f973f01fa514f20f4626604e52c9df1939b1b5668dcdb5fbe5e635","observation_id":"2fea740a-2722-4b40-af91-9d3a7486cde9","resolution":{"observed_at":"2026-08-14T06:04:14.868934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.850524Z","title":"Deep learning based sinogram correction for metal artifact reduction,","venue":null,"work_id":"7e637717-1aee-48e3-a65f-2e374534f832","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.855560Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:7c278eb8f5bff4303fbd2b0ffd2105720a3e3a9808a72c093637c90db57c0b31","observation_id":"ee0da438-6993-47e0-a44e-ec53bc6671e8","resolution":{"observed_at":"2026-08-14T06:04:14.855089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.837016Z","title":"A Model-Based Image Reconstruction Algorithm With Simultaneous Beam Hardening Correction for X-Ray CT","venue":null,"work_id":"20562541-d556-4bf4-9f6e-7774a698ddd3","year":2015},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.859712Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:51804c92bae9b6c7d1b6117d71ecf702d69d123598cc9cc7b371a3d3885b58f1","observation_id":"df11e7e2-af64-4ef8-8590-8e3bec326e18","resolution":{"observed_at":"2026-08-14T06:04:14.841431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.822837Z","title":"Plug-and-play unplugged: Optimization-free reconstruc- tion using consensus equilibrium,","venue":null,"work_id":"557968d4-19c3-47db-afd6-611403ce7fb9","year":2001},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.864010Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:ead5431803015c6dc47285033aa95bddb1629b700e199977354fb322889c234a","observation_id":"f8673187-d158-48ea-ba88-4ff1551e1d7c","resolution":{"observed_at":"2026-08-14T06:04:14.827280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.809342Z","title":"Improved total variation-based CT image reconstruc- tion applied to clinical data,","venue":null,"work_id":"02c45837-2498-4147-ad98-8004d8937923","year":2011},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.868297Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:cbae5dba508c0f2f02fc5a9317d46f81d76f299ac5dae646aa4d454ada0c6179","observation_id":"3b57e07f-b418-401a-9106-4ad7a3a65052","resolution":{"observed_at":"2026-08-14T06:04:14.813662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.795569Z","title":"A Gaussian mixture MRF for model-based iterative reconstruction with applications to low-dose X-ray CT,","venue":null,"work_id":"b3293721-5bc1-4653-990a-7735504e6ad7","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.872313Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:b85687f1f06d7c8bad875518c6501facbc9174344eaa360bf687294e2ba4d9d0","observation_id":"c43ab549-ebc4-4b29-963c-c5aeda660821","resolution":{"observed_at":"2026-08-14T06:04:14.799750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.780787Z","title":"Deep Resid- ual Learning for Model-Based Iterative CT Reconstruction using Plug-and-Play Framework,","venue":null,"work_id":"028dc335-417f-43aa-9a8d-9ecafd6ecb1a","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.876763Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:e8c4785ab3d7d23d9f255b49fe4798337b55067a79c373bd0d76d246d83005e8","observation_id":"799a5ed9-09f7-467c-9f8e-7000c7b3dce2","resolution":{"observed_at":"2026-08-14T06:04:14.786032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.765822Z","title":"Coherent-Image Reconstruction Using Convolutional Neu- ral Networks,","venue":null,"work_id":"d07a20b3-22d3-442d-bc3e-946980e70dd4","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.880830Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f41c9ebf39b77d64f71798f98a9230d8401d4e953b6bfb3151b7ec8c43b0b063","observation_id":"adc116c7-895d-4071-bbba-b58b49eff74b","resolution":{"observed_at":"2026-08-14T06:04:14.771113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.751797Z","title":"Image-to-Image Translation with Conditional Adversarial Networks,","venue":null,"work_id":"44541a7b-f9b0-4132-9f00-5b7ca42d08a1","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.885269Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:c661510a0ba7833d0b66943479b4a3274166a51dc2ca00edc80eec584354862e","observation_id":"0a9b651a-7a81-41ba-9fb5-989a8e153bae","resolution":{"observed_at":"2026-08-14T06:04:14.756391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.736990Z","title":"Motion-compensated image reconstruction for cardiac CT with sinogram-based motion estimation,","venue":null,"work_id":"f83011c0-e5d1-43a5-a7ac-1e933ddfebad","year":2013},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.889353Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:79b9f316b595bd8f3cb84f136f970d7259e880b09721029fbc78adaf965b8a86","observation_id":"2f596102-7b77-4150-98a8-2e583a5ea590","resolution":{"observed_at":"2026-08-14T06:04:14.741912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.722659Z","title":"Fast and robust discrete computational imaging,","venue":null,"work_id":"a249fc68-2106-4800-9646-9c9e691b521e","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.893592Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:9edb319f6eda94aad779e06bab7ae709d3c36e2a1c1b5a6c0ce0e567ad25cfd8","observation_id":"52906161-c6d9-489c-a4b2-5f247c180901","resolution":{"observed_at":"2026-08-14T06:04:14.726903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.708741Z","title":"Practical model 3DX of limited cone-beam X-ray CT for dental use,","venue":null,"work_id":"f8d07e13-1951-4582-b9f6-2b3409a3a4a5","year":2001},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.897764Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:87d48afb64437da4ff844e0b5a569ce3b789e3607a26a9c5f7e547b5dd4e744e","observation_id":"a9c82d1b-7daf-4a47-9879-1927bc16ed67","resolution":{"observed_at":"2026-08-14T06:04:14.713022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.694475Z","title":"Digital tomosynthesis in breast imaging,","venue":null,"work_id":"7206659d-82f3-406f-91f8-e9c8762f9648","year":1997},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.901835Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:7ac9ec5556a29366dac3f1eab03c85a9d13b1caccc09d60ef3b93b2d87b42ee7","observation_id":"2af532e7-2311-43fa-bcaf-2e4c95a22f43","resolution":{"observed_at":"2026-08-14T06:04:14.698695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.679367Z","title":"Imagenet classification with deep convolutional neural networks,","venue":null,"work_id":"14a181fa-7c3f-4cc6-aa5d-b384f7708ddd","year":2012},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.905832Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:9aac82dab27b1c64383086d802adf96478255c98ab85a90751cba0dd78975785","observation_id":"eb046fbd-b3ce-4edd-a426-3d70baf45bad","resolution":{"observed_at":"2026-08-14T06:04:14.684110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.665714Z","title":"Image de- noising and inpainting with deep neural networks,","venue":null,"work_id":"f513ab88-ae3a-49a4-ba6b-7b5249745b4a","year":2012},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.909580Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:5e7dfb33d43f594cc4f854ec894fe1d20f82c2a8457a84c195999b0da1ef5626","observation_id":"05865520-c6b0-4fe6-8ff2-1bc6bae30543","resolution":{"observed_at":"2026-08-14T06:04:14.669837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.651662Z","title":"Mask-specific inpainting with deep neural networks,","venue":null,"work_id":"1e2bf18f-23bc-4ac8-8882-377ce59d61ba","year":2014},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.913528Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:69c4fbc4ed03e669c9a9266e002a66073d9615a94b5019571bf8dcab6d034316","observation_id":"e902a2c1-6b74-4796-8d52-ac09a2d6c4fa","resolution":{"observed_at":"2026-08-14T06:04:14.656344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.637371Z","title":"Ac- curate image super-resolution using very deep convolutional networks,","venue":null,"work_id":"e9a256e7-3f3d-4a7c-bee0-c38fcc24c46b","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.917482Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:1982b19f119bf9e9246daf4390f62c3bc1bcb71da545497c37844e2a7bea2a49","observation_id":"e65645b7-d538-409b-8441-7c8d127fafd7","resolution":{"observed_at":"2026-08-14T06:04:14.642116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.623294Z","title":"Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising,","venue":null,"work_id":"92d83f25-20f4-4860-bcca-26085066c33e","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.921238Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:643201a4a0ae79df48cc729a04b127b0b3c9adbd421909420d0cd88a041ba545","observation_id":"135d9faa-2583-44ed-ac12-52e0af3d79c3","resolution":{"observed_at":"2026-08-14T06:04:14.627607Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.608917Z","title":"Loss functions for image restoration with neural networks,","venue":null,"work_id":"de6251c1-3411-4753-a63f-53b6ad8f125f","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.925315Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:6c2faabcfe57320ffd784af5ec9f22a82f2c5a94f827779ed36cee95231355b1","observation_id":"315f4ae5-c9cb-49d2-a0f7-5ab139ec2207","resolution":{"observed_at":"2026-08-14T06:04:14.613507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.595073Z","title":"Can fully convolu- tional networks perform well for general image restoration problems?","venue":null,"work_id":"95d1030c-2ba0-492b-9c75-2710a4461344","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.929425Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:0734aee42b9b621a454f2013d21bbaf71949b018b7f0016b489f2a35647b871d","observation_id":"2ec6bc87-9e92-4105-b2ff-091ea58e25f1","resolution":{"observed_at":"2026-08-14T06:04:14.599433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.579638Z","title":"Advances in automatic target recognition (ATR) for CT based object detection system–Final report, Dept,","venue":null,"work_id":"e6301bf9-f20b-4fbf-a9e5-8092d19a9a7d","year":2014},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.933227Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:a7a761d71ea36936596bda90c304e36a71f3948c4f340927b34772732fc8faa2","observation_id":"8e4b3028-c3d6-4cdf-946d-e188f3f5de1a","resolution":{"observed_at":"2026-08-14T06:04:14.585694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.02816","last_updated":"2019-08-16T03:07:55Z","snapshot_observed_at":"2026-08-18T00:47:40.933639Z","submitted_at":"2019-04-04T23:04:10Z","title":"Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning","version":3},"cited_work":{"arxiv_id":"1904.02816","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.02816","snapshot_observed_at":"2026-08-14T06:04:14.238322Z","title":"Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning","venue":"eess.IV","work_id":"bca9f92b-88fc-4a19-a833-bdfdac8917c8","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.936993Z"},"links":{"cited_paper":"/paper/1904.02816","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:6aed445e7f1b14265f835536287f3949350cf846a5ab0cb43caf7c1998248756","observation_id":"bdb729e1-b58d-4f23-963e-d43eb8617604","resolution":{"observed_at":"2026-08-14T06:04:14.243522Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"1607.08707","doi":null,"metadata_source":"pith","pith_arxiv_id":"1607.08707","snapshot_observed_at":"2026-08-14T06:04:14.217504Z","title":"Image Prediction for Limited-angle Tomography via Deep Learning with Convolutional Neural Network","venue":"physics.med-ph","work_id":"fcc45319-b5b4-4438-9f58-94adc2fb74b9","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.941343Z"},"links":{"cited_paper":"/paper/1607.08707","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:5b5a712b6c6bef1fd7bd0888fb98303f5074ddf82e420e0203f90f8ca1a57ccd","observation_id":"3e7cc802-8883-4280-92f5-c3b5ae863e4e","resolution":{"observed_at":"2026-08-14T06:04:14.222205Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.01382","last_updated":"2017-03-04T02:22:59Z","snapshot_observed_at":"2026-08-16T09:54:02.304763Z","submitted_at":"2017-03-04T02:22:59Z","title":"Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction","version":1},"cited_work":{"arxiv_id":"1703.01382","doi":null,"metadata_source":"pith","pith_arxiv_id":"1703.01382","snapshot_observed_at":"2026-08-14T06:04:14.197630Z","title":"Multi-Scale Wavelet Domain Residual Learning for Limited-Angle CT Reconstruction","venue":"cs.CV","work_id":"9807874f-e9b3-412a-8891-34a1b95d7c60","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.945732Z"},"links":{"cited_paper":"/paper/1703.01382","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:091013909d6e43cd6fde048a260d2e4618f56c27ae0d9dab72ed824cd9042ace","observation_id":"0ed9d5bc-2190-47f0-821f-0163af52c5b5","resolution":{"observed_at":"2026-08-14T06:04:14.202301Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.565412Z","title":"A sinogram inpainting method based on gen- erative adversarial network for limited-angle computed to- mography,","venue":null,"work_id":"eb1c0c94-8624-44c0-96b0-6e1274e706c7","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.949826Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:7878218780adeb07cce1988452f01d670c3068228ef2735f914c7b38658fe85e","observation_id":"8ff8179f-3987-4277-aa37-881de6c3df9f","resolution":{"observed_at":"2026-08-14T06:04:14.569843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.10388","last_updated":"2018-07-11T17:20:08Z","snapshot_observed_at":"2026-08-14T20:09:18.125464Z","submitted_at":"2017-11-28T16:37:14Z","title":"Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion","version":3},"cited_work":{"arxiv_id":"1711.10388","doi":null,"metadata_source":"pith","pith_arxiv_id":"1711.10388","snapshot_observed_at":"2026-08-14T06:04:14.176868Z","title":"Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion","venue":"cs.CV","work_id":"9a467b26-b81e-4c55-b1f2-d50caeb5a0d2","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.953959Z"},"links":{"cited_paper":"/paper/1711.10388","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:fd71573b4e2290765ee03edf28bc0dc872803adfe905f9393dd812b2590f45e0","observation_id":"d5cf312e-f197-411e-b9fd-564cc35a4295","resolution":{"observed_at":"2026-08-14T06:04:14.181858Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.551713Z","title":"Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems,","venue":null,"work_id":"1b14aa99-3233-4521-b3c1-d2459398827c","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.958336Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f195bd8ab316dbdd3edb9799ced3a348408cbf0381e35d40d3383ee3f5147509","observation_id":"7c01d091-eea5-411a-b60b-7f7977bede0b","resolution":{"observed_at":"2026-08-14T06:04:14.556218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.537361Z","title":"Deep convolutional neural net- work for inverse problems in imaging,","venue":null,"work_id":"47176a54-009a-4a26-b108-4d6b3670223d","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.962074Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:73745ddff6cbdae133f11665578e93eec4cc8fdad7ffd0a63974ff44d21f53f8","observation_id":"8136112e-26fd-4494-bbc7-dae384135e35","resolution":{"observed_at":"2026-08-14T06:04:14.542507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.00961","last_updated":"2018-04-24T14:28:27Z","snapshot_observed_at":"2026-08-14T20:43:32.885644Z","submitted_at":"2017-08-03T00:37:11Z","title":"Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss","version":2},"cited_work":{"arxiv_id":"1708.00961","doi":null,"metadata_source":"pith","pith_arxiv_id":"1708.00961","snapshot_observed_at":"2026-08-14T06:04:14.156223Z","title":"Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss","venue":"cs.CV","work_id":"be280ca3-ed7d-40d3-ba17-0d637c82a675","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.966076Z"},"links":{"cited_paper":"/paper/1708.00961","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:b90582134dc98e4560f700af7367ebaf4fd822c4a49c6255099b6f56288a77b2","observation_id":"cd2c4813-10b1-4feb-ace7-98245b77a4b0","resolution":{"observed_at":"2026-08-14T06:04:14.160894Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.523628Z","title":"Low-dose ct streak artifacts removal using deep residual neural network,","venue":null,"work_id":"30d95116-3f53-4218-ab3f-18fc920f9330","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.970220Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:2238533c3f06dbf43709ad68eeb4ac3213061366e1d1ef6489a484aea4bc7028","observation_id":"c64b7dff-0926-4d4b-a38b-fead0bf3909e","resolution":{"observed_at":"2026-08-14T06:04:14.527849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.508714Z","title":"Framing U-Net via deep convolutional framelets: Application to sparse-view CT,","venue":null,"work_id":"a38aae98-d1e9-478e-8a24-17fa47d56c46","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.974432Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:270039f2653268bcda6efef9bc2a8bb6bc91273b4e59b75dc3bdca2bc7c093f6","observation_id":"a2558fdf-0c71-4db1-af05-d70b5d24dfd0","resolution":{"observed_at":"2026-08-14T06:04:14.513392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.493000Z","title":"Deep-Neural- Network-Based Sinogram Synthesis for Sparse-View CT Im- age Reconstruction,","venue":null,"work_id":"a5ea06e2-b067-4705-a665-3d4baab63941","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.978587Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f7409aacb6e42c8d7e11163bfffeaae98a85f1a5f970ec01fba1ea49c678fa92","observation_id":"3fdf3f49-bf3d-48e5-9fe4-16a130d149c7","resolution":{"observed_at":"2026-08-14T06:04:14.497790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.477768Z","title":"Deep Learning-Based Sinogram Completion for Low-Dose CT,","venue":null,"work_id":"c6158fb6-e16d-4f16-9ea3-4105a6e236c8","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.982521Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:336eec8c573439b63be02684f20a8170e69950ae9c89a4d759ffe54bd2576ab7","observation_id":"fdc64b58-167d-4d19-8413-5bfb14290e54","resolution":{"observed_at":"2026-08-14T06:04:14.483152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.462814Z","title":"Sinogram interpola- tion for sparse-view micro-ct with deep learning neural net- work,","venue":null,"work_id":"afd44d00-ae46-44ce-85ec-3975116ab04c","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.986448Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:318046b250ad9c1c1a63ac079167378a1beed94b60b4310eb14d7b29ab336d12","observation_id":"66ac0e7b-fe7e-4b96-9b10-e0fb12018d2b","resolution":{"observed_at":"2026-08-14T06:04:14.467384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1804.04289","last_updated":"2019-05-28T14:11:16Z","snapshot_observed_at":"2026-08-14T19:26:49.154208Z","submitted_at":"2018-04-12T02:27:40Z","title":"Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction","version":2},"cited_work":{"arxiv_id":"1804.04289","doi":null,"metadata_source":"pith","pith_arxiv_id":"1804.04289","snapshot_observed_at":"2026-08-14T06:04:14.132558Z","title":"Comparison of projection domain, image domain, and comprehensive deep learning for sparse-view X-ray CT image reconstruction","venue":"physics.med-ph","work_id":"6e5f3726-0864-48e6-b51b-be6ae309f49b","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.990962Z"},"links":{"cited_paper":"/paper/1804.04289","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:50aba426e976a48b6d969987c4c0069bbe7b6e8596ce9769db02b6c5b40075ba","observation_id":"32de5915-076c-46a0-a263-6fb625038df6","resolution":{"observed_at":"2026-08-14T06:04:14.139651Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.448416Z","title":"Image reconstruction by domain-transform manifold learn- ing,","venue":null,"work_id":"a9de154e-915d-4cc8-9126-1e2ded5adc41","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.995475Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:e11b0c01325ce8c9cbc45ae50ef47e11073324e846c4d08bee8e37bafcb54028","observation_id":"07f91e49-9127-4cb0-ad0b-f8f3ff29ec5d","resolution":{"observed_at":"2026-08-14T06:04:14.452823Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.433595Z","title":"Radon inversion via deep learning,","venue":null,"work_id":"60fc84f1-78d6-4c0d-a175-f139a3712d62","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:13.999709Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:7744382127ba58299b3f73b14e9945b661a385af3639fbe390d7089e63b5c4a7","observation_id":"3975dbf7-2621-4a21-bfcf-82d9c7b3908e","resolution":{"observed_at":"2026-08-14T06:04:14.438277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.003859Z","title":"Plug-and-play priors for model based reconstruction,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.003859Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:ba031b6538764513dfef8f9014e89b82f39f97d35d69eb60f080f58d830b4e95","observation_id":"5e6baf10-a64d-4a8d-9c58-a4ff00ce2b3c","resolution":{"observed_at":"2026-08-14T06:04:14.003859Z","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":"2026-08-14T06:04:14.408077Z","title":"Plug-and-play priors for bright field electron tomography and sparse interpolation,","venue":null,"work_id":"32eba8a1-14bf-467b-b368-5ae45943f7e7","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.008983Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:4d9c406869601ac1e98e43a420e9e7516359c613d55a6026fff03a3a707600ba","observation_id":"fefd9127-b858-4460-83dd-fe3bd99de9f3","resolution":{"observed_at":"2026-08-14T06:04:14.412851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.013414Z","title":"Learning proximal operators: Using denoising networks for regularizing inverse imaging problems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.013414Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:e138a904f2e8a776fe2aee472e601bc639ceb458e824b7ccf5aca090dad0310f","observation_id":"a5858cf6-906d-417e-bd65-83c1be0bdaba","resolution":{"observed_at":"2026-08-14T06:04:14.013414Z","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":"2026-08-14T06:04:14.382903Z","title":"Primal-dual plug-and-play image restoration,","venue":null,"work_id":"e476022f-8157-417a-a313-54223d2e77a1","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.017662Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f9368d21e2bf65ce340cbf218310bc8cf72bd56b7a1163f11ba1acc9ee678599","observation_id":"4ca5aa48-3d5f-4dc3-8845-fd6efd49e89c","resolution":{"observed_at":"2026-08-14T06:04:14.387231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.368143Z","title":"A plug-and- play priors approach for solving nonlinear imaging inverse problems,","venue":null,"work_id":"56fcfb71-d72e-494e-bee9-86ea111064c8","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.021709Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f690535f093811386824255639c4d2f0a9e4f80ee4c5d805da995e8ef97b151b","observation_id":"478d5d7b-bd5f-42b1-a2c1-e94f9f86d1a6","resolution":{"observed_at":"2026-08-14T06:04:14.372778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.353752Z","title":"Cnn-based projected gradient descent for consis- tent ct image reconstruction,","venue":null,"work_id":"33854001-56de-4c13-b230-cd77f412be05","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.025693Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:289d45853f1b7f372399d2b54b9470b6ecdf157909cd067d2e1022a1d08ea5c3","observation_id":"3267debe-73f5-4b8f-a7b6-196e9e429def","resolution":{"observed_at":"2026-08-14T06:04:14.358128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.339656Z","title":"The little engine that could: Regularization by denoising (RED),","venue":null,"work_id":"0a591be2-6337-4fb6-aaa5-da9b463e29e6","year":2017},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.029609Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:2ab50a732d5f7302565d0e37bb660b355a30f51b63d78ec6502b1b821f005c8f","observation_id":"d097e042-767b-4088-83b0-c9ecc86f67b3","resolution":{"observed_at":"2026-08-14T06:04:14.343734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.324935Z","title":"Consensus equilibrium: A framework for model inte- gration,","venue":null,"work_id":"1a719666-bd14-4f53-bd7b-1ae8bfc1ce81","year":2018},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.033609Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:3c23ac349701e13492a2ea7467007ed04147f7bd50f59e3d86d9ead411a4dc5e","observation_id":"87a986a8-3fa2-4db4-9359-150906e533ac","resolution":{"observed_at":"2026-08-14T06:04:14.329416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.310249Z","title":"Constrained sinogram restoration for limited-angle tomography,","venue":null,"work_id":"afb410ad-51cd-4e92-bcd6-fdcc229de0ba","year":1990},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.037749Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:923cbe49a35bbc2309034091b23e9fce9fe2c83eff23cad626598136b2e1a4dd","observation_id":"3e4415ad-a760-42b2-a87d-5d0ddb6f311a","resolution":{"observed_at":"2026-08-14T06:04:14.314617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.295750Z","title":"Generative ad- versarial nets,","venue":null,"work_id":"85012c7e-7375-403b-92e0-cc0b431b65e2","year":2014},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.042221Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:f3d82d242e651c72e3fc7d4f91fb1ecebed9c047c4be05e4e86c3e62c92bfc7e","observation_id":"24040e45-0b06-4b18-a7b2-513ea129452b","resolution":{"observed_at":"2026-08-14T06:04:14.299915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T06:04:14.281396Z","title":"Fast Enhanced CT Metal Artifact Reduction using Data Do- main Deep Learning,","venue":null,"work_id":"4957eecf-4e83-4a79-ad31-212b59cf1087","year":2019},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.046497Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:fb0c7ba7d3b38f0c26afe1f7d7f9daa435fcbc3eaf1393b8ad7bfacc964d32da","observation_id":"84b1d196-a6e9-4a6c-a489-efe51401d6df","resolution":{"observed_at":"2026-08-14T06:04:14.286039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.04467","last_updated":"2016-03-16T16:57:12Z","snapshot_observed_at":"2026-08-14T22:06:04.800050Z","submitted_at":"2016-03-14T20:50:20Z","title":"TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.04467","snapshot_observed_at":"2026-08-14T06:04:14.050657Z","title":"Tensorflow: Large-scale ma- chine learning on heterogeneous distributed systems,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.050657Z"},"links":{"cited_paper":"/paper/1603.04467","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:fb43d592c175d08ddc61429afddf46807acfce6db19c690209593607882b30ce","observation_id":"cfa1260c-df1a-4eba-b4f2-c7257ce59770","resolution":{"observed_at":"2026-08-14T06:04:14.050657Z","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":"2026-08-14T06:04:14.267480Z","title":"Fast and flexible X-ray tomography using the ASTRA toolbox,","venue":null,"work_id":"6f1512e6-cf14-4544-8131-eb8eb1a6ccfa","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.055054Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:315221cc13b9feeeb3d7705fa4b7f51c68ab32499498223a1d56744d6b314cdf","observation_id":"b0353e2e-42f0-481a-bebd-f215afd3a270","resolution":{"observed_at":"2026-08-14T06:04:14.271803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-14T06:04:14.058943Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.058943Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:0251210313868a66d4265ab0e79c8299819cbb9912bac934898b4d5143573322","observation_id":"a2020ca4-fa14-46c0-a99a-7727a4205579","resolution":{"observed_at":"2026-08-14T06:04:14.058943Z","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":"2026-08-14T06:04:14.254052Z","title":"Improved techniques for training gans,","venue":null,"work_id":"63895410-35d8-4c17-b4a9-e4ac09bd96ce","year":2016},"citing_paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T06:04:14.062584Z"},"links":{"citing_paper":"/paper/1909.00240"},"observation_digest":"sha256:3f51a2fd6682d83c477772c6398efabb14026b5577ef48c00d84b2b8cc3c39da","observation_id":"881ef893-0c99-4ff8-8021-57f68040b606","resolution":{"observed_at":"2026-08-14T06:04:14.258441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1909.00240","last_updated":"2019-08-31T16:46:12Z","latest_version":1,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-17T16:26:13.188776Z","submitted_at":"2019-08-31T16:46:12Z","title":"Integrating Data and Image Domain Deep Learning for Limited Angle Tomography using Consensus Equilibrium"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":6,"verified_fuzzy":47},"total_outbound_references":57},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:1909.00240."}