{"as_of":"2026-08-15T10:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af4b7bc0fc2dde3e53815f8560095ce17a58e75f887cfc4ba0261512bdc6aed9","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:37:45.716059Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.02815/citation-record","integrity":"/paper/1908.02815/integrity","json":"/paper/1908.02815/citation-record.json","paper":"/paper/1908.02815"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:37:46.291511Z","title":"& de la Cruz Rodríguez, J","venue":null,"work_id":"b456f11e-321b-4fdb-b727-d01f861f677c","year":2015},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.534443Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:a23b08bb1141441cc588f56112b99745ef9b076c4fcc59709303440dda23ebec","observation_id":"aebbf79a-057c-4fbc-9358-2727a3bd05c0","resolution":{"observed_at":"2026-08-14T14:37:46.295717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.07150","last_updated":"2018-09-30T17:27:41Z","snapshot_observed_at":"2026-08-15T06:46:31.505402Z","submitted_at":"2018-06-19T10:48:08Z","title":"Real-time multiframe blind deconvolution of solar images","version":2},"cited_work":{"arxiv_id":"1806.07150","doi":null,"metadata_source":"pith","pith_arxiv_id":"1806.07150","snapshot_observed_at":"2026-08-14T14:37:45.979397Z","title":"Real-time multiframe blind deconvolution of solar images","venue":"astro-ph.SR","work_id":"e39bc228-6d8a-4d23-be6b-322eb8de7b58","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.538842Z"},"links":{"cited_paper":"/paper/1806.07150","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:618bbf0dd3278786a7033d7e7a4bd536db4790f587032f7746f2a3cec6f0ecbc","observation_id":"4b5e4ea1-4757-444f-817b-fb949697b197","resolution":{"observed_at":"2026-08-14T14:37:45.984154Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.278894Z","title":"2019, HelioML /HelioML: HelioML 0.2.0 (2019-02-22)","venue":null,"work_id":"9ac54134-0369-4ef9-a651-bdf50aa416ec","year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.543790Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:7fcfa4efa4396c9760cd01610ef5ae3625fa8272732e24b5f4c348a628202786","observation_id":"aa7b2a99-8e08-4f86-9e6c-a4a3997c23bb","resolution":{"observed_at":"2026-08-14T14:37:46.282904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.267053Z","title":"A., Kopf, M., Ilyin, I., & Strassmeier, K","venue":null,"work_id":"51c91363-03f4-47cc-8b0a-b4b8a9997e40","year":2007},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.547780Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:a8cd299c6c43dd5c22d1a055a80e3fc2c85e57c982c102772e180aecc4d6e56c","observation_id":"5f77ff07-2103-47a1-b9fa-5e04daa60abe","resolution":{"observed_at":"2026-08-14T14:37:46.271054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.03211","last_updated":"2018-11-08T01:30:54Z","snapshot_observed_at":"2026-08-15T06:46:25.786621Z","submitted_at":"2018-11-08T01:30:54Z","title":"Removal of Spectro-Polarimetric Fringes by 2D PCA","version":1},"cited_work":{"arxiv_id":"1811.03211","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.03211","snapshot_observed_at":"2026-08-14T14:37:45.963260Z","title":"Removal of Spectro-Polarimetric Fringes by 2D PCA","venue":"astro-ph.IM","work_id":"c980d4ff-3235-424c-bb8a-4bec40787760","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.551779Z"},"links":{"cited_paper":"/paper/1811.03211","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:ad8667e829e0dffb9d6c092eab2a8e7fe38919a97ac67f9e507413290218b313","observation_id":"ca0fecfa-7403-4eb1-a2ef-fcd3175087ac","resolution":{"observed_at":"2026-08-14T14:37:45.967493Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.255040Z","title":null,"venue":null,"work_id":"d714dd5e-49e2-4fd8-8752-90c093370e65","year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.555990Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:38096bb5cde0f5d1492ef98d5a23e72e672408efc4e39cff2085d5dbbaa7632d","observation_id":"beba21f0-173f-4333-bced-6f02d4a1adb6","resolution":{"observed_at":"2026-08-14T14:37:46.259105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.242708Z","title":"2013, Memorie della Societa As- tronomica Italiana, 84, 379 de la Cruz Rodríguez, J., Leenaarts, J., & Asensio Ramos, A","venue":null,"work_id":"441782ae-1cdb-4503-acf3-774d1b989f42","year":2013},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.560241Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f3242da9f1ef5b901d2fe00889e63151e317029dd0096531c35f7d6746da8aa8","observation_id":"542947da-802b-422b-9f3b-a1285a5af2f4","resolution":{"observed_at":"2026-08-14T14:37:46.246951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.12766","last_updated":"2020-02-25T15:56:46Z","snapshot_observed_at":"2026-08-15T06:46:33.664061Z","submitted_at":"2018-11-30T12:44:50Z","title":"Model-blind Video Denoising Via Frame-to-frame Training","version":3},"cited_work":{"arxiv_id":"1811.12766","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.12766","snapshot_observed_at":"2026-08-14T14:37:45.946969Z","title":"Model-blind Video Denoising Via Frame-to-frame Training","venue":"cs.CV","work_id":"3468375a-48de-40b9-a67e-2f1c263c4258","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.563960Z"},"links":{"cited_paper":"/paper/1811.12766","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:a3b4648402ac8107afe9938e103d1efd5049e4d6894fc7ed729746bf2c1b90e1","observation_id":"e4be514c-d98e-4f11-b30c-de00ef4b6fdf","resolution":{"observed_at":"2026-08-14T14:37:45.951444Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02157","last_updated":"2016-05-25T18:46:56Z","snapshot_observed_at":"2026-08-14T22:45:32.675538Z","submitted_at":"2015-06-06T14:42:06Z","title":"Dropout as a Bayesian Approximation: Appendix","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02157","snapshot_observed_at":"2026-08-14T14:37:45.568249Z","title":"& Ghahramani, Z","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.568249Z"},"links":{"cited_paper":"/paper/1506.02157","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:b0b731bd86ceb1178912673171868d7e16c799daffc965e4f8e3c2ce9cd950e1","observation_id":"0736ae61-c16b-4e4d-832a-b0ca26ae5410","resolution":{"observed_at":"2026-08-14T14:37:45.568249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02142","last_updated":"2016-10-04T16:50:26Z","snapshot_observed_at":"2026-08-14T22:45:32.724093Z","submitted_at":"2015-06-06T12:30:43Z","title":"Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02142","snapshot_observed_at":"2026-08-14T14:37:45.572722Z","title":"& Ghahramani, Z","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.572722Z"},"links":{"cited_paper":"/paper/1506.02142","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:da626f14510eaeb439711c01e4d5dd6ba408c5e1f7c104c0f7045eda20a9f75f","observation_id":"48179402-7078-4c81-9c0b-ef488fba1fe2","resolution":{"observed_at":"2026-08-14T14:37:45.572722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.07832","last_updated":"2017-05-22T16:25:02Z","snapshot_observed_at":"2026-08-14T20:59:02.086997Z","submitted_at":"2017-05-22T16:25:02Z","title":"Concrete Dropout","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.07832","snapshot_observed_at":"2026-08-14T14:37:45.576999Z","title":"2017, arXiv e-prints, arXiv:1705.07832","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.576999Z"},"links":{"cited_paper":"/paper/1705.07832","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f560c54e592a7ce09b8b558c568325618e6b4a77d4b68751df1167d25785886c","observation_id":"1f19c0aa-dfd0-4364-b005-119bd41c245f","resolution":{"observed_at":"2026-08-14T14:37:45.576999Z","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":"2026-08-14T14:37:46.230302Z","title":"M., Snik, F., Keller, C","venue":null,"work_id":"7a2f750f-9662-4357-96ea-b58897484ef4","year":2017},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.581092Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:9072e6e0d7f31488b609eaf86793f240743e03809b74bd0cf66b8be365d253ea","observation_id":"2ae61c98-655a-4352-adbe-7e0257249fcb","resolution":{"observed_at":"2026-08-14T14:37:46.234646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1502.01852","last_updated":"2015-02-06T10:44:00Z","snapshot_observed_at":"2026-08-14T23:01:07.044616Z","submitted_at":"2015-02-06T10:44:00Z","title":"Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1502.01852","snapshot_observed_at":"2026-08-14T14:37:45.584816Z","title":"2015, arXiv e-prints, arXiv:1502.01852","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.584816Z"},"links":{"cited_paper":"/paper/1502.01852","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:75891641810979c32ea664e81e2a6ca6c545c099ec4294a8b6b936c899609de6","observation_id":"00e413a2-7406-4a84-a841-54bc807b17cb","resolution":{"observed_at":"2026-08-14T14:37:45.584816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1207.0580","last_updated":"2012-07-03T06:35:15Z","snapshot_observed_at":"2026-08-15T00:54:35.320150Z","submitted_at":"2012-07-03T06:35:15Z","title":"Improving neural networks by preventing co-adaptation of feature detectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1207.0580","snapshot_observed_at":"2026-08-14T14:37:45.589016Z","title":"E., Srivastava, N., Krizhevsky, A., Sutskever, I., & Salakhutdinov, R","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.589016Z"},"links":{"cited_paper":"/paper/1207.0580","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:7b35a3c61e2bf72c88078b37b5dfa59d6e12d26a5a248ae27347184bfee9c237","observation_id":"73a2f2f3-0de7-47f7-ab64-b05002a3b693","resolution":{"observed_at":"2026-08-14T14:37:45.589016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1608.06993","last_updated":"2018-01-28T17:12:02Z","snapshot_observed_at":"2026-08-14T21:42:53.838437Z","submitted_at":"2016-08-25T00:44:55Z","title":"Densely Connected Convolutional Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.06993","snapshot_observed_at":"2026-08-14T14:37:45.593058Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.593058Z"},"links":{"cited_paper":"/paper/1608.06993","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:376b6110ba3f93886f8151a75409195ed770fd3345d3ccf0b4c803e0282c3658","observation_id":"8f9f8b04-640c-408c-aed5-84a07d7e25fd","resolution":{"observed_at":"2026-08-14T14:37:45.593058Z","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":"2026-08-14T14:37:46.217330Z","title":"2018, ApJ, 856, 7","venue":null,"work_id":"04f4d8ca-d3ef-4d0e-b1bc-8a860597defc","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.597098Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:005615b4efd24833759979a3e4e2d3466d4b114cb0bdb6bc1cdfdb769780f561","observation_id":"3a0d968e-bd9b-41ce-8fb4-3b9f5178ad97","resolution":{"observed_at":"2026-08-14T14:37:46.221485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.205454Z","title":null,"venue":null,"work_id":"c4e12216-5d6b-420b-bf8d-7dc684e52395","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.600625Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:0e2684bab421c5c19e86a6e36363d6c488321dd8854ca467bfc53972ae795bfa","observation_id":"577ae270-4908-46b6-8338-e391e25442c2","resolution":{"observed_at":"2026-08-14T14:37:46.209355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.192926Z","title":"& Seung, H","venue":null,"work_id":"2e6a0d93-9e63-4116-9689-3cb176ddee28","year":2008},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.604091Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:8a6ba150a28456e165c55ccbfcf1ceef98f73714991f46b99358cc1c51d7aeaa","observation_id":"1a71ae46-076e-43b2-b58c-c4fb43f1df66","resolution":{"observed_at":"2026-08-14T14:37:46.197352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.180857Z","title":"C., Macek, J","venue":null,"work_id":"b0199b92-a1bf-46c6-869e-d0fb60097268","year":1984},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.608029Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:c51723e15e51bbbe1c5e4426017f7e5ac4d52630f608dd99756dd0b30eeb91b0","observation_id":"1b42027a-b41a-449b-8128-2b7f69a1db69","resolution":{"observed_at":"2026-08-14T14:37:46.184952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1703.04977","last_updated":"2017-10-05T13:04:51Z","snapshot_observed_at":"2026-08-15T06:44:53.860843Z","submitted_at":"2017-03-15T07:27:12Z","title":"What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.04977","snapshot_observed_at":"2026-08-14T14:37:45.611676Z","title":"& Gal, Y","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.611676Z"},"links":{"cited_paper":"/paper/1703.04977","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f9c4540e32df8403faf2596b20f26842bc933374793b231885987ce370698732","observation_id":"a1a6b940-b279-4aa7-ab26-b725287254d9","resolution":{"observed_at":"2026-08-14T14:37:45.611676Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-14T18:51:16.666127Z","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":"2026-08-14T14:37:45.615501Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.615501Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:235ccbc66a4a5e8794c091df545b19d84bdd965e34546fd7e0dd36fb0ac84c95","observation_id":"93e40e3b-bb86-4bf0-99ed-ee19d678bb9a","resolution":{"observed_at":"2026-08-14T14:37:45.615501Z","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":"2026-08-14T14:37:46.168845Z","title":"& Bengio, Y","venue":null,"work_id":"2dbd4f94-5c8a-49a2-a8c5-fe579f41f7d3","year":1998},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.619189Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:ee28f784a96052d78fb8838cb6d21936013e8266c586b04b908b092028c54af5","observation_id":"97d08ccf-e5fd-4e8d-bbb5-cc6be83b96b2","resolution":{"observed_at":"2026-08-14T14:37:46.172841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.04802","last_updated":"2017-05-25T11:25:41Z","snapshot_observed_at":"2026-08-14T21:39:39.189507Z","submitted_at":"2016-09-15T19:53:07Z","title":"Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.04802","snapshot_observed_at":"2026-08-14T14:37:45.622749Z","title":"2016, arXiv e-prints, arXiv:1609.04802","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.622749Z"},"links":{"cited_paper":"/paper/1609.04802","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:d9f605c0b1a8093768b3ac323f4d2ac162e82e470cb119ff495d69ef3ec21771","observation_id":"55d8a7d8-5473-4d31-8d98-a158505c2830","resolution":{"observed_at":"2026-08-14T14:37:45.622749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.04189","last_updated":"2018-10-29T10:29:23Z","snapshot_observed_at":"2026-08-14T19:37:13.197654Z","submitted_at":"2018-03-12T11:07:58Z","title":"Noise2Noise: Learning Image Restoration without Clean Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.04189","snapshot_observed_at":"2026-08-14T14:37:45.626748Z","title":"2018, ArXiv e-prints, arXiv:1803.04189","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.626748Z"},"links":{"cited_paper":"/paper/1803.04189","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:5cc5a7b633b3e3be9f04e6c557821dc84b29cf034e166f3f2c7828b1b3595ab2","observation_id":"97b4c647-fd6b-467a-bbaa-3b1088c344e9","resolution":{"observed_at":"2026-08-14T14:37:45.626748Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:37:45.630647Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.630647Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f5f713e62d7f0e68da318c9731e3ad808e9b9de6a2c20327c6c24294fb1a84b4","observation_id":"28f3bd00-159f-4c9e-afe8-ed9f1f149e2a","resolution":{"observed_at":"2026-08-14T14:37:45.630647Z","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":"2026-08-14T14:37:46.148291Z","title":null,"venue":null,"work_id":"00dab6bf-e4cd-4197-b107-b748474706f1","year":1991},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.634455Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f5604ec3c4a45a54e793983522e6e48dbe8a2650b0c17539faa424f38d4774ac","observation_id":"4399ed4c-42aa-463a-8f9a-d43798fcfba5","resolution":{"observed_at":"2026-08-14T14:37:46.152676Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.04502","last_updated":"2019-05-30T15:10:37Z","snapshot_observed_at":"2026-08-15T06:23:16.021946Z","submitted_at":"2019-01-14T19:00:02Z","title":"Dynamical heating across the Milky Way disc using APOGEE and $\\it{Gaia}$","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.04502","snapshot_observed_at":"2026-08-14T14:37:45.638603Z","title":"T., Bovy, J., Leung, H","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.638603Z"},"links":{"cited_paper":"/paper/1901.04502","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:35a0672f62b043298cb28c988557bd0cdcd9862d2bf869d4d8b1a295d9a5c4dd","observation_id":"f0a05a64-2a1f-4fcc-9da9-7e529cad76f8","resolution":{"observed_at":"2026-08-14T14:37:45.638603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.02476","last_updated":"2019-12-31T08:28:19Z","snapshot_observed_at":"2026-08-14T17:19:53.903868Z","submitted_at":"2019-02-07T05:15:46Z","title":"A Simple Baseline for Bayesian Uncertainty in Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.02476","snapshot_observed_at":"2026-08-14T14:37:45.642933Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.642933Z"},"links":{"cited_paper":"/paper/1902.02476","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:6505937f8e120f92322a03d1b09cc54b04326b85c5ca16153b0234e233d07bed","observation_id":"21ea3431-724a-4916-99da-5d6e19203e23","resolution":{"observed_at":"2026-08-14T14:37:45.642933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.11888","last_updated":"2018-09-13T14:28:28Z","snapshot_observed_at":"2026-08-14T18:45:55.496146Z","submitted_at":"2018-07-31T16:01:23Z","title":"Deep End-to-end Fingerprint Denoising and Inpainting","version":3},"cited_work":{"arxiv_id":"1807.11888","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.11888","snapshot_observed_at":"2026-08-14T14:37:45.798839Z","title":"Deep End-to-end Fingerprint Denoising and Inpainting","venue":"cs.CV","work_id":"6b459269-e3e0-494a-8486-364b153e8985","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.647021Z"},"links":{"cited_paper":"/paper/1807.11888","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:cee2c2bf2feeb0eb84d1f0aa7bcd4e0da0d67abad12cbfc7ef94e922ccc17509","observation_id":"995d6330-49c2-4f12-b60e-af46e2292e82","resolution":{"observed_at":"2026-08-14T14:37:45.805305Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.135504Z","title":"& Hinton, G","venue":null,"work_id":"9bfbfc5f-79ce-42e3-8b68-4fc4f8621e89","year":2010},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.650989Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:64f49ef626c42326824393f1ff4cea4175447b7e4dd5e36b093f4ed40f9459cf","observation_id":"546c8c88-3a8c-451c-9625-02366e0c4e92","resolution":{"observed_at":"2026-08-14T14:37:46.139515Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.122708Z","title":"2018, ApJ, 858, 113","venue":null,"work_id":"f7c274e0-f4ac-4b01-a390-5c90e989d0c8","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.654494Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:3a77bcc82bca4553bc8a67244301249cd1cf58f535da8756c033ac6f42345039","observation_id":"766ede06-e7b2-4055-8b97-626fe74021f5","resolution":{"observed_at":"2026-08-14T14:37:46.126530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.110958Z","title":null,"venue":null,"work_id":"f237aaf6-8d1b-4f00-acf1-990f9f531b8e","year":2019},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.657830Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:f10fa95b806e707e3e8c6ba19761cd9ad80062225a02cd2d1aac73f6994e12f6","observation_id":"a39ea305-c5a6-49bc-8e8a-22beece10885","resolution":{"observed_at":"2026-08-14T14:37:46.114745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.098949Z","title":null,"venue":null,"work_id":"f01c0357-7941-4000-81d7-5fcd0c4b720b","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.661418Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:598e36279d9b0cf5d1fbcaf77d6fe6f65009998b402216eed2c7b42a1e955c69","observation_id":"c2775df0-0bcb-403f-b5b7-242742769afb","resolution":{"observed_at":"2026-08-14T14:37:46.103164Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.086841Z","title":null,"venue":null,"work_id":"67af1b0b-e9c2-47dc-9d59-dfcd53fcce8a","year":2006},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.664948Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:6ff11c121ab22d37263987799a2f24f3620ec77b1a126c9db3b1ded1e6ca7628","observation_id":"2c87af5c-3bcf-40fa-b4ab-a17194d08e84","resolution":{"observed_at":"2026-08-14T14:37:46.091316Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1505.04597","last_updated":"2015-05-18T11:28:37Z","snapshot_observed_at":"2026-08-14T05:43:53.421538Z","submitted_at":"2015-05-18T11:28:37Z","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1505.04597","snapshot_observed_at":"2026-08-14T14:37:45.669065Z","title":"2015, arXiv e-prints, arXiv:1505.04597","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.669065Z"},"links":{"cited_paper":"/paper/1505.04597","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:c55fc0c14d929bde48c859ea6a47acf670c5a4b990ea168b0f7f9314b55ca4c6","observation_id":"d812a4ed-558e-46a4-ba2f-513f937ea7c3","resolution":{"observed_at":"2026-08-14T14:37:45.669065Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:37:45.672862Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.672862Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:5f7111de6509b2c3c24b60976f0d78c0a02222a258da164569ccdbe462eae71c","observation_id":"1332c097-974c-48c6-8365-0519cf0cb1a3","resolution":{"observed_at":"2026-08-14T14:37:45.672862Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:37:45.676417Z","title":"B., Bjelksjo, K., Korhonen, T","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.676417Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:ed842bf7081e24450400819c1cda0190f2359556af0aecc9945fa06a32d87513","observation_id":"da05ad45-83a7-41d0-a412-c799532bbcdb","resolution":{"observed_at":"2026-08-14T14:37:45.676417Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:37:45.679983Z","title":"B., Narayan, G., Hillberg, T., et al","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.679983Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:e27ecdf827404e21ad2c467f121ade7ccdcf40681cdf190f9df3ea5fec716103","observation_id":"c79ba48e-2431-4256-bec2-2d97dec94d16","resolution":{"observed_at":"2026-08-14T14:37:45.679983Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.00908","last_updated":"2019-09-06T13:38:18Z","snapshot_observed_at":"2026-08-14T18:05:08.150809Z","submitted_at":"2018-11-02T14:55:07Z","title":"Single-Model Uncertainties for Deep Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.00908","snapshot_observed_at":"2026-08-14T14:37:45.683448Z","title":"& Lopez-Paz, D","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.683448Z"},"links":{"cited_paper":"/paper/1811.00908","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:7f4aacad36d1c576cc4b04eb3c6a7914b1c4e385ba127df98648da0123693992","observation_id":"8ea40247-5411-4b46-8c3a-957f13de79b2","resolution":{"observed_at":"2026-08-14T14:37:45.683448Z","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":"2026-08-14T14:37:46.054651Z","title":"R., Beruko ff, S., et al","venue":null,"work_id":"94cf6072-639a-4257-a7d3-698835c843e3","year":2016},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.687448Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:71ac8b17a02faa4bf4c3e487567bcd3f94b24f511e7cb38d78cc89212dc884d3","observation_id":"a1e2ca0d-2746-4484-afc8-94602dd2e8ea","resolution":{"observed_at":"2026-08-14T14:37:46.058245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.10925","last_updated":"2020-05-17T10:57:04Z","snapshot_observed_at":"2026-08-14T20:08:50.609817Z","submitted_at":"2017-11-29T15:50:05Z","title":"Deep Image Prior","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.10925","snapshot_observed_at":"2026-08-14T14:37:45.691438Z","title":"2017, arXiv e-prints, arXiv:1711.10925 van Noort, M., Rouppe van der V oort, L., & Löfdahl, M","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.691438Z"},"links":{"cited_paper":"/paper/1711.10925","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:529b8cf6058a8e056cf2bca60cc8c9e7b8f45e99406e697ca8fb08182323fdc7","observation_id":"5b05309c-6cba-4aef-879d-1888d915dbc8","resolution":{"observed_at":"2026-08-14T14:37:45.691438Z","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":"2026-08-14T14:37:46.043313Z","title":"2008, in Proceedings of the 25th International Conference on Machine Learning, ICML ’08 (New","venue":null,"work_id":"43a8ab9f-78d6-4f33-a282-7c48de6dfe1f","year":2008},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.695985Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:48e41e01d9bad3f1eca458bad1164617312f788e1f76b95f2b533325fe54fc3a","observation_id":"7f19cb19-00ef-4fe9-a262-a2e07ff8ec86","resolution":{"observed_at":"2026-08-14T14:37:46.047199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.032046Z","title":"2005, A&A, 429, 335","venue":null,"work_id":"d0b8426f-e832-4f03-82f8-aaf85a3a01f9","year":2005},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.700177Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:fa933802e4a0384586b691f608da03f322db7a9a299196e7bac0327627db367a","observation_id":"c68b87af-9239-4eaf-a582-671913e10260","resolution":{"observed_at":"2026-08-14T14:37:46.035927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:46.019488Z","title":"K., & Solanki, S","venue":null,"work_id":"df04df17-5669-4dbb-9ae6-c6642d95cbdf","year":2014},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.703971Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:390dc176bf4b10cf56e9a131d6c067dd022469422c388c809c1e8b994b8984a4","observation_id":"7aac535b-9d4d-49f1-9dfb-037fd5d51a26","resolution":{"observed_at":"2026-08-14T14:37:46.023708Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.09710","last_updated":"2018-05-28T08:49:58Z","snapshot_observed_at":"2026-08-14T19:50:56.837256Z","submitted_at":"2018-01-29T19:11:13Z","title":"tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.09710","snapshot_observed_at":"2026-08-14T14:37:45.707955Z","title":"2018, ArXiv e-prints, arXiv:1801.09710","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.707955Z"},"links":{"cited_paper":"/paper/1801.09710","citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:32e4c1c71dc3deb5dacb9cab5d70e4a3a6f5c21902812838fd010ada0cc97f1f","observation_id":"dcc59d09-0c6b-4252-9b93-f564f57f42b0","resolution":{"observed_at":"2026-08-14T14:37:45.707955Z","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":"2026-08-14T14:37:46.006191Z","title":"2017, IEEE Transactions on Image Processing, 26, 3142","venue":null,"work_id":"f3fc128a-cf14-4502-a735-12b67ab92d70","year":2017},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.712257Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:eae819a8e05c35c1d1b51a5f18a3ddd35c46536747edab3e4f28b592c35a4d2c","observation_id":"3a548df3-4736-4826-9631-6a573eeeb773","resolution":{"observed_at":"2026-08-14T14:37:46.011061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T14:37:45.992484Z","title":"2018, IEEE Transactions on Image Processing, 27, 4608 Article number, page 11 of 13 A&A proofs: manuscript no","venue":null,"work_id":"66c45dad-1846-44b9-9a87-3146d4ca421e","year":2018},"citing_paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:45.716059Z"},"links":{"citing_paper":"/paper/1908.02815"},"observation_digest":"sha256:ee8a357db48a419c6ad780631f3e8bee1f6356ced9595e052df4ea67d8ccd902","observation_id":"d5ea64c1-0b9d-4aa8-80ac-d5c203684cae","resolution":{"observed_at":"2026-08-14T14:37:45.996903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.02815","last_updated":"2019-08-07T19:56:47Z","latest_version":1,"primary_category":"astro-ph.SR","snapshot_observed_at":"2026-08-15T06:45:43.203294Z","submitted_at":"2019-08-07T19:56:47Z","title":"Solar image denoising with convolutional neural networks"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":26,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":47},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:1908.02815."}