{"as_of":"2026-08-10T19:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1d2ef3cf414c4d83b69abc5b53ab1c263455157bed8dc2f31888c53657bde42","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:38:13.243177Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2506.04781/citation-record","integrity":"/paper/2506.04781/integrity","json":"/paper/2506.04781/citation-record.json","paper":"/paper/2506.04781"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:38:13.879185Z","title":"2018, A&A, 620, A73 Asensio Ramos, A., Esteban Pozuelo, S., & Kuckein, C","venue":null,"work_id":"5a5267c7-6ccf-42dd-8751-f94e521f3e88","year":2018},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.044386Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:242e09fb60381cee7de0f290d9c228e594b4fbca8b2179fd9fcb355d0ea88f59","observation_id":"cb5621d4-e7ab-494d-80ce-cd19f6ab1f45","resolution":{"observed_at":"2026-08-07T10:38:13.885103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.859956Z","title":"2012, Astron","venue":null,"work_id":"cc3d5aaf-7f5e-48ab-8c05-b5caa99e5144","year":2012},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.050126Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:d6a847485682ddf33be2c972a5b07473fd53cb56c2affd8b78436b976b32b83c","observation_id":"7eb4f844-200b-404d-bb17-6631577e25eb","resolution":{"observed_at":"2026-08-07T10:38:13.866476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.841168Z","title":"2023, JATIS, 9, 015001","venue":null,"work_id":"30856cba-77d5-496d-9140-7f3e93526ac5","year":2023},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.062130Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:3573a020825c2a8fb519d6b62efc83bd1ef81ed74d13ec3514b5097311756fa4","observation_id":"7b9ba49a-694f-4c28-983a-2dceec66b070","resolution":{"observed_at":"2026-08-07T10:38:13.847251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.07116","last_updated":"2016-05-23T17:54:57Z","snapshot_observed_at":"2026-07-06T04:57:15.827651Z","submitted_at":"2016-05-23T17:54:57Z","title":"A Formal Evaluation of PSNR as Quality Measurement Parameter for Image Segmentation Algorithms","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.07116","snapshot_observed_at":"2026-08-07T10:38:13.070043Z","title":"A., Conforto, V","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.070043Z"},"links":{"cited_paper":"/paper/1605.07116","citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:cac8abfc88b412f47853ed1e58c08e4b8627a9b719128dbc6dbfaa5f4e5a04ba","observation_id":"b50287c5-c8e6-4fc7-ac02-c3068a1e500c","resolution":{"observed_at":"2026-08-07T10:38:13.070043Z","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":"2026-08-07T10:38:13.822609Z","title":"2020, Commun","venue":null,"work_id":"62380df7-6203-4b51-8d64-324f2ebf75e2","year":2020},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.076577Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:2a279509a60ce9afc4abea8a0101164699ee5f6284cd961d22328c9434b08285","observation_id":"6323b4f5-19ec-493e-9f4e-3b0bf1287489","resolution":{"observed_at":"2026-08-07T10:38:13.828160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.805568Z","title":"2017, in Proceedings of the 31st International Conference on Neural Information Processing Systems, NIPS’17 (Red Hook, NY , USA: Curran Associates Inc.), 6629–6640","venue":null,"work_id":"a5c745eb-1a9d-4eb4-92fc-b12bf089f29b","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.083723Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:d5315bf40a26ae76db797b0d55091bd77543ff14e4b7bdd17f2e6f0701e96d47","observation_id":"a422fd11-e789-4ee1-b6c2-045d177ed585","resolution":{"observed_at":"2026-08-07T10:38:13.811307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.786680Z","title":"2023, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 10173","venue":null,"work_id":"354b5dfb-3439-4a5e-bbed-a0414ac98d97","year":2023},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.090840Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:989cb489301a991e1a21d6ef1f572b23d1237e358eeace3f2e3803fc402374b9","observation_id":"1403afbb-618f-4535-a607-cb8c16e4c374","resolution":{"observed_at":"2026-08-07T10:38:13.793178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.765757Z","title":"2017, in 2017 IEEE International Confer- ence on Computer Vision (ICCV), 2458–2467","venue":null,"work_id":"f540d93d-fe90-4bd7-8992-20cc6ecd5cd0","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.097902Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:1534cc784cfb34aac39f89f24725e9eef2e6b52a3c8b759a486b48f8536a47b7","observation_id":"7cae194b-ab46-4836-92b5-35ef3f9a61f3","resolution":{"observed_at":"2026-08-07T10:38:13.772175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.740950Z","title":null,"venue":null,"work_id":"607eb9be-0b3f-4555-9df3-e6d029a9dce5","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.103294Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:a1595c481bc843fc6c01655b1dade4ca854776b96e2b8fbc6a3f0863f8bc2091","observation_id":"ebc846e0-baa7-4e87-a1ae-d13acdd0a8d1","resolution":{"observed_at":"2026-08-07T10:38:13.746881Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.08057","last_updated":"2024-01-16T02:24:16Z","snapshot_observed_at":"2026-08-10T09:29:44.839362Z","submitted_at":"2024-01-16T02:24:16Z","title":"Instrument-To-Instrument translation: Instrumental advances drive restoration of solar observation series via deep learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.08057","snapshot_observed_at":"2026-08-07T10:38:13.109077Z","title":"M., Pötzi, W., & Podladchikova, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.109077Z"},"links":{"cited_paper":"/paper/2401.08057","citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:16e56047616122d174398da0e68c6e577335479f84a6082b9a20c2d6688e67dc","observation_id":"5635def7-b17d-4694-bdfd-a3c47abcfeca","resolution":{"observed_at":"2026-08-07T10:38:13.109077Z","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":"2026-08-07T10:38:13.719454Z","title":"2020, ApJ, 903, L25","venue":null,"work_id":"910ba897-004b-4975-b6b6-37800830e58b","year":2020},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.115265Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:c3080d19168b91a7e6f597d61c8ab81b689c22f4d77bf20cc7bd674cb14a88c6","observation_id":"b3dd6e00-83c8-4aa8-a154-abc5894165e6","resolution":{"observed_at":"2026-08-07T10:38:13.725628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.702623Z","title":"2019, ApJ, 881, L30","venue":null,"work_id":"6f7c2237-5353-4d4d-8c5b-4b01314174fb","year":2019},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.123091Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:a6c99baf219ca31f4f7f9037edc4e2f22f21459126646a19250a4d632bcd6668","observation_id":"934f2877-8446-4ccd-aa22-727e9bf90674","resolution":{"observed_at":"2026-08-07T10:38:13.707554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.685991Z","title":"2019, Nat","venue":null,"work_id":"e59bccc6-7b69-499a-a59c-c26e5d894664","year":2019},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.129908Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:384bc4b06d5b855ca8513555777ac43d7d3e369108dd29aaeece72b6b453286e","observation_id":"e5f57745-af2e-4b3a-abe0-a3118722956e","resolution":{"observed_at":"2026-08-07T10:38:13.691064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","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":"2026-08-07T10:38:13.137572Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.137572Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:01c9c437abcfc859e8d0e7841068dda75a1d47b97516d7e5858f154234a4e5c5","observation_id":"71106bd9-6ea3-4196-a57d-ca5ec71128e1","resolution":{"observed_at":"2026-08-07T10:38:13.137572Z","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":"2026-08-07T10:38:13.668825Z","title":"2020, A&A, 641, A27","venue":null,"work_id":"afb11a08-09a1-4176-9506-3d5c303f3642","year":2020},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.145973Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:66af59fd7839775af31a1adaf74df05ba119cdb720951de2576ae000da376380","observation_id":"c2bf55c5-a8b0-46af-9b6d-792bed314902","resolution":{"observed_at":"2026-08-07T10:38:13.673769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.652319Z","title":"2017, in Fine Structure and Dynam- ics of the Solar Atmosphere, ed","venue":null,"work_id":"edf2f745-3025-4fc9-bb2d-edd11d37f133","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.153980Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:053da662c519c1661637a212b4d3f2fadb4249f8c5544c721def19070ed1da07","observation_id":"1d84c8d2-d59c-404e-9db9-fc621e90ea75","resolution":{"observed_at":"2026-08-07T10:38:13.657199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.636049Z","title":"2017, in 2017 IEEE Conference on Com- puter Vision and Pattern Recognition (CVPR), 105–114 Löfdahl, M., Noort, M., & Denker, C","venue":null,"work_id":"15d991ac-54cb-41e9-82ea-5cf3407ca173","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.160442Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:c504870b69cac0f15ebe92dcf7f7da229f0fa84c85cdf3fb694e513441beecb9","observation_id":"b88460c6-3eb2-48ea-95fc-b79a0c53213e","resolution":{"observed_at":"2026-08-07T10:38:13.641361Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.619588Z","title":"W., Weigelt, G., & Wirnitzer, B","venue":null,"work_id":"ed5b6bc4-de3f-48a0-8c0f-491909afc17f","year":1983},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.168433Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:a6e95372837044ffc240e4e4ed0449b634b12356c60d9e8825c1ba316582a7bc","observation_id":"35a17c62-517d-4903-a7fb-4dc23945e71e","resolution":{"observed_at":"2026-08-07T10:38:13.625018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.597550Z","title":"2017, in 2017 IEEE International Conference on Computer Vision (ICCV) (Los Alamitos, CA, USA: IEEE Computer Soci- ety), 2813–2821","venue":null,"work_id":"0b2063e8-ff7d-4762-9579-b0955a8b0fff","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.176539Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:47d15152a1d887ad2f9f80f6818e8d31408acf68f1e4f3f4566592a64b1e657c","observation_id":"5e4bbd99-5c00-4b22-b793-9409ebadbd7d","resolution":{"observed_at":"2026-08-07T10:38:13.607000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.573442Z","title":"2019, ApJ, 884, L23","venue":null,"work_id":"abec9b7f-d9f6-4ca4-af54-52609cf39d0d","year":2019},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.181941Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:cd72fb3941ef9244baa84ed04840f79b8e59af8dd1af59dced5406b72525c3db","observation_id":"80d6e147-4ab4-4091-b927-d1958d6e26c9","resolution":{"observed_at":"2026-08-07T10:38:13.580657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.552290Z","title":"2017, in NIPS-W Quintero Noda, C., Schlichenmaier, R., Bellot Rubio, L","venue":null,"work_id":"6ccd4835-99d2-4417-8688-8029bd4db132","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.188449Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:f596cbfd4611cdb2b4c0c0935de80abcef8efc7a41f033d5029437276230155f","observation_id":"f3eebcac-60eb-47ad-8fd1-20b6e40be480","resolution":{"observed_at":"2026-08-07T10:38:13.559619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.533001Z","title":"& Marino, J","venue":null,"work_id":"688bbd44-678d-4764-8a57-1f62f6f6e7ff","year":2011},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.196411Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:34d83077271e2fb47b36ad13e90c419e28519d7c18bb3ed5a9e73240cf1d0979","observation_id":"86a4eb98-3a0e-43af-93bc-5da1b3943092","resolution":{"observed_at":"2026-08-07T10:38:13.539569Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.507252Z","title":"R., Warner, M., Keil, S","venue":null,"work_id":"b929de8c-9d69-4916-8579-d4998ad0036f","year":2020},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.204477Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:7a28231d5d871a69a89b58ff1382b103396d12dab3665183fb8c59276360244c","observation_id":"0c48f331-e3fa-4f49-8b5d-965db55bf9ea","resolution":{"observed_at":"2026-08-07T10:38:13.519281Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.481445Z","title":"2012, Astronom","venue":null,"work_id":"bf33dc7a-caed-4885-9034-16414a6f7700","year":2012},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.211900Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:aba79d1a6621902d95d58317f5cd0e12f939aea7f5b7915fa000f58686101559","observation_id":"37d6ea04-fcfd-4dec-a47a-21ce664db37a","resolution":{"observed_at":"2026-08-07T10:38:13.492591Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.454129Z","title":"2020, ApJ, 895, L16","venue":null,"work_id":"ef4f6a49-ba62-4343-9fba-ae9d7081dbd2","year":2020},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.217933Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:ea254fc0952cee4db37f20fe775251933f8bbccf876ab552febaf4991b29e098","observation_id":"e7f8a594-c861-47b5-8798-c1ed3e4d516b","resolution":{"observed_at":"2026-08-07T10:38:13.462805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.433602Z","title":"2021, ApJ, 920, 101 The SunPy Community, Barnes, W","venue":null,"work_id":"f85a6dfe-fb25-43d4-9037-06d453a367f7","year":2021},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.223363Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:68bd65e721b27d81bacffb94907f739cc38e2aed722b939b9d4bbc2e80724e17","observation_id":"cab1fe9f-dd2e-4635-aa1f-884bca974f25","resolution":{"observed_at":"2026-08-07T10:38:13.439651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.410335Z","title":"2018, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8798–8807","venue":null,"work_id":"5093ea5f-6dda-40ca-8957-5a69a5e6be2c","year":2018},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.228512Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:b2efcaf947d60db7033e72bf7dc9edcbdee4a8c09a1520da70b466fcfc2cbb2d","observation_id":"164a9f14-5bf0-4e64-b50d-66b0d7205dec","resolution":{"observed_at":"2026-08-07T10:38:13.415880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.390757Z","title":"2004, Image Processing, IEEE Transactions on, 600 Wöger, F., von der Lühe, O., & Reardon, K","venue":null,"work_id":"f7fc5284-63cd-46e9-8255-c637198deb20","year":2004},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.237348Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:204e18d55f305973cc6f46409f93b0e21eab5d18b5589b4d34e41ade2d92a233","observation_id":"d6dd4d46-eb8b-43dd-bc15-518340cc8641","resolution":{"observed_at":"2026-08-07T10:38:13.396955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T10:38:13.364471Z","title":null,"venue":null,"work_id":"202660ce-40e4-4d66-bbc0-b8723c3231fe","year":2017},"citing_paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T10:38:13.243177Z"},"links":{"citing_paper":"/paper/2506.04781"},"observation_digest":"sha256:909cd991c1c77f3fa2f09db9a04fa7a55a974261a4ccc7f66ef9d12647f271b9","observation_id":"52a634eb-4591-434a-9fb4-6c875c6f1708","resolution":{"observed_at":"2026-08-07T10:38:13.375572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.04781","last_updated":"2025-06-05T09:10:31Z","latest_version":1,"primary_category":"astro-ph.SR","snapshot_observed_at":"2026-08-10T06:23:58.853746Z","submitted_at":"2025-06-05T09:10:31Z","title":"Deep learning image burst stacking to reconstruct high-resolution ground-based solar observations"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":29},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2506.04781."}