{"as_of":"2026-08-20T02:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:efab273fbf7ee5d748b914f6f3e7ac52ce31322148206f6618d98ace58aa3fc5","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T05:25:20.694917Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T22:19:23.944338Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.00451","snapshot_observed_at":"2026-08-03T22:19:23.944338Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.11090","last_updated":"2026-07-14T18:56:50Z","snapshot_observed_at":"2026-08-18T11:13:22.526085Z","submitted_at":"2025-11-14T09:10:31Z","title":"A Space-Time Transformer for Precipitation Nowcasting","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T22:19:23.944338Z"},"links":{"cited_paper":"/paper/2412.00451","citing_paper":"/paper/2511.11090"},"observation_digest":"sha256:7dbac68ee54ce4d1388253b8a1663442b6e9ffec9e43ae0a0d1ba71a20481b4d","observation_id":"a6c45965-1067-4ffe-bafd-a1d981112479","resolution":{"observed_at":"2026-08-03T22:19:23.944338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2412.00451/citation-record","integrity":"/paper/2412.00451/integrity","json":"/paper/2412.00451/citation-record.json","paper":"/paper/2412.00451"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:21.071750Z","title":"Paul Menzel, Frances C","venue":null,"work_id":"d2a2643b-1765-496d-95b0-4bc661486dd3","year":1998},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.573035Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:790f8a41f3864848759ff2be33c05b483864884320a66e05a6eab473be564c99","observation_id":"d2a61613-ecc8-428f-9a2a-d73cfd63d1e7","resolution":{"observed_at":"2026-08-12T05:25:21.076221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:21.057204Z","title":"Nystrom, Xingchao Chen, Shian-Jian Lin, and Lucas M","venue":null,"work_id":"54f12e65-6f36-4697-8107-c30546b4702c","year":2019},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.578577Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:f60eb3d723d51fd22ac0efd62cd18e97d17b84b60abb35bb7eb110b0dc64c509","observation_id":"0689707f-8f17-4dfa-9dbf-d14a219a8efb","resolution":{"observed_at":"2026-08-12T05:25:21.061700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:21.041751Z","title":"Kreil, and Sepp Hochreiter","venue":null,"work_id":"b5677665-bbca-45a7-8e3f-475fc7da2db8","year":2024},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.584052Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:46ad558544e639932ac92eb055d96b2212e359fcb1728f68ec089d3f6bd3ea66","observation_id":"017e54b7-9e3a-4123-b939-69dc8b958186","resolution":{"observed_at":"2026-08-12T05:25:21.046839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:21.026585Z","title":null,"venue":null,"work_id":"a556e371-822b-491d-bee7-afa7fd4e88e1","year":2017},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.590253Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:b22977c745fec066ac77cd372fe5f78223efb3392ce9defdd38be27b236d02d4","observation_id":"afc0c87e-c264-40e5-89cf-885f50d11351","resolution":{"observed_at":"2026-08-12T05:25:21.031270Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:21.009992Z","title":"Operational Application of Optical Flow Techniques to Radar-Based Rainfall Nowcasting","venue":null,"work_id":"55153f87-46a6-40ff-881b-23d88afbb235","year":2017},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.596038Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:28ca97ef280da987c344f57bf4e213171a2114ec1d9121a93da6a5e1cedf02ec","observation_id":"483d232e-b7e1-4403-a999-86e865f37292","resolution":{"observed_at":"2026-08-12T05:25:21.016000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.993553Z","title":null,"venue":null,"work_id":"762fc70d-c5ea-48ac-b783-563ff659dc30","year":2020},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.603193Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:a0057468f7087a308b2a312e7a0d7792ecf60f40002636ade13a61f08b74d626","observation_id":"1764d8aa-91e9-4124-8de8-effdc117372e","resolution":{"observed_at":"2026-08-12T05:25:20.998244Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.976382Z","title":"Subpixel- Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique","venue":null,"work_id":"34739358-db68-454f-88f0-e8e36b651680","year":2018},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.610375Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:aa46daeb0e042a44e19299830bc966a1afd8903e92a6202d4055a00e49fc21df","observation_id":"b1371e56-5f97-4444-9c6a-c8059a2ac585","resolution":{"observed_at":"2026-08-12T05:25:20.981939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.959798Z","title":"A rain-type adaptive optical flow method and its application in tropical cyclone rainfall nowcasting","venue":null,"work_id":"557f3276-e85e-488d-9a5b-0844888bd013","year":2022},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.616078Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:64e7fcf51c6f45407e6eef8b2f41a02b47f74971d9be3ebac1274fae813dfc2e","observation_id":"4f4a9f27-42d7-4ec1-bf0e-ee11566812d1","resolution":{"observed_at":"2026-08-12T05:25:20.965129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.944942Z","title":"Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting","venue":null,"work_id":"8b1ee776-8cc5-4156-a074-39047dd2b143","year":2015},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.622145Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:d79a394cfb58bce71a668f741e48335fa756dfd187435ebc151351298bd159d0","observation_id":"1c382c05-08b5-4f40-b416-5f64f159ec18","resolution":{"observed_at":"2026-08-12T05:25:20.949453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.928909Z","title":"Skillful precipitation nowcasting using deep generative models","venue":null,"work_id":"0c60dc49-6e08-4fdf-8453-788e39a6d9b2","year":2021},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.628893Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:6e9a5b4887cf56085eaac3e51dc89eba0825a8ceaa1622815e5a8cca8315df63","observation_id":"a9baa01a-3c92-44bb-a81d-9fdda50972f3","resolution":{"observed_at":"2026-08-12T05:25:20.934594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.910214Z","title":"A Deep Learning Model for Precipitation Nowcasting Using Multiple Optical Flow Algorithms","venue":null,"work_id":"933f436d-9a56-41bb-8b29-1fe705022950","year":2023},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.634403Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:21d1e051434f1424a2be46cb52603590f8604cffec2440168e75b151af459690","observation_id":"61531d66-a959-4d43-b6b5-949ec669d2dc","resolution":{"observed_at":"2026-08-12T05:25:20.915888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.891268Z","title":"OFAF-ConvLSTM: An Optical Flow Attention Fusion-ConvLSTM Model for Precipitation Nowcasting","venue":null,"work_id":"6d98a623-7d6b-4a24-a476-ce5307f61189","year":2021},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.639275Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:9e8640b0eb3e0581d5f86807b5230c081911dd6d7ab739e8d310e3cebaad642b","observation_id":"97157d83-b422-4936-9800-c57d5db2e322","resolution":{"observed_at":"2026-08-12T05:25:20.897360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.874743Z","title":"An introduction to meteosat second generation (msg)","venue":null,"work_id":"ea6be0d8-63df-46f1-8be0-af1b0de6ba46","year":2002},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.644519Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:89a87a984d934e07e7f907d921681ee152e2428cffe73a74a0cd787098579336","observation_id":"cbfe048e-0f0c-4a80-adad-410ccfaedf56","resolution":{"observed_at":"2026-08-12T05:25:20.879877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.857222Z","title":"Opera the radar project","venue":null,"work_id":"26e5afaa-5174-48e0-b85a-226c6846b66a","year":2019},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.650861Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:b7be1ee6cc9167dc0d206d792e3ff6e379b78158312bff829f065b8c6bde7136","observation_id":"3ca18492-3a69-499e-b59f-3cbbe6c3aa1f","resolution":{"observed_at":"2026-08-12T05:25:20.862425Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.841089Z","title":"The operational weather radar network in europe","venue":null,"work_id":"91a89b7b-77a3-4df0-8a4d-de7cc772bcbc","year":2014},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.656115Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:976f4dfc36fe65af9f70d1994e9ce2334305cb8399e0b84f79d3f8ac2a8fe288","observation_id":"d3300305-e978-47ff-8919-58b4f436de97","resolution":{"observed_at":"2026-08-12T05:25:20.846582Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.662142Z","title":"A threshold selection method from gray-level histograms","venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.662142Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:cd8d4da20f943a846e57d67ace10fe9305c6e9d84d05edb4a7d775c3e815856f","observation_id":"1910b599-5a1a-4ffc-93f4-a595d3153727","resolution":{"observed_at":"2026-08-12T05:25:20.662142Z","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":"2026-08-12T05:25:20.667152Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.667152Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:b5509d97635e2ab907c1d279ac73354fdcd26de3a9ecabb494b52e7e2b3db1b6","observation_id":"a86b4f58-b028-47e5-ad48-c43add33c1fd","resolution":{"observed_at":"2026-08-12T05:25:20.667152Z","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":"2026-08-12T05:25:20.801021Z","title":"pysteps - a Community-Driven Open-Source Library for Precipitation Nowcasting","venue":null,"work_id":"7039e992-c563-4eba-8443-c13e851b379f","year":2019},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.673503Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:04bbd7fcf34a3052df30ae521fa256e92ba9cab26d3f1bd6ae783f8fa6b83b20","observation_id":"31425c40-a04d-433c-a635-96c14c743bee","resolution":{"observed_at":"2026-08-12T05:25:20.806687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.783580Z","title":null,"venue":null,"work_id":"c596a978-2adf-4e7a-8380-00125994386c","year":2016},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.678755Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:6d1b77dc5dbb28f274ac38bcfaa1c29a477d267d4a2d6a24413ea59bd47d93af","observation_id":"31586415-fbec-4a59-a4d6-037b8d1f625f","resolution":{"observed_at":"2026-08-12T05:25:20.788472Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.767486Z","title":"RainNet v1.0: a convolutional neural network for radar-based precipitation nowcasting","venue":null,"work_id":"aa9884ed-64f1-4218-9054-89938a21fbed","year":2020},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.684668Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:729c6a9d286c59441247a3506b602b911dc59bc77777db6d8b5ca549e9e71071","observation_id":"cb4e16ce-1ac8-4313-9af9-5dfecd481dc4","resolution":{"observed_at":"2026-08-12T05:25:20.772738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.748969Z","title":"Patch-based generative adversarial network for single image haze removal","venue":null,"work_id":"7068d13a-c7ce-4667-a0ad-ac1861417c8c","year":2020},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.689380Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:94648ea54fad3a27015e211a03c2e2e9f0a4041acc5e0328415e42dc593a304d","observation_id":"3c8032bd-05c9-415a-88c2-eea79f23398c","resolution":{"observed_at":"2026-08-12T05:25:20.754734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T05:25:20.728512Z","title":"Estimation of the Continuous Ranked Probability Score with Limited Information and Applications to Ensemble Weather Forecasts","venue":null,"work_id":"f0128e10-c153-41d4-b456-4ccd236de93d","year":2018},"citing_paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T05:25:20.694917Z"},"links":{"citing_paper":"/paper/2412.00451"},"observation_digest":"sha256:eec537a2400f58382f1c646d8dcfad85bd1ebd4d402530c45f28d7ff18f2362d","observation_id":"df1fdf83-eede-484c-9f9f-b5aa1f956267","resolution":{"observed_at":"2026-08-12T05:25:20.736522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.00451","last_updated":"2024-11-30T11:56:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T22:08:55.243591Z","submitted_at":"2024-11-30T11:56:20Z","title":"A conditional Generative Adversarial network model for the Weather4Cast 2024 Challenge"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":17},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2412.00451."}