{"as_of":"2026-08-20T16:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ae158d509b099481ce49078450f665fcd26efcbaa4e016e596d1d53cb2d8b3db","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:49:34.472628Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2411.12258/citation-record","integrity":"/paper/2411.12258/integrity","json":"/paper/2411.12258/citation-record.json","paper":"/paper/2411.12258"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.181290Z","title":", author Chitra, P","venue":null,"work_id":"25b2e9c0-1da1-4750-bc4a-9e2669f0f98c","year":2021},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.220800Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:c8eda9dafa38798a1cc2e8b3bd2b7e3d17bdc051c7369b6c87fae9ed96f15cd4","observation_id":"18895baa-7680-4fa2-add7-0856918b5322","resolution":{"observed_at":"2026-08-12T17:49:35.184230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.172208Z","title":", author Masseran, N","venue":null,"work_id":"59803da2-83dd-455c-8592-0616ab820860","year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.225067Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:2a2bb82d73ef3ce01b911a33ab6dbf302ab54a3aa71a9afe5a0f3472ee9a4ca8","observation_id":"b5f7f5c3-8ec1-47ae-9a0b-f421e39d4272","resolution":{"observed_at":"2026-08-12T17:49:35.175485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.164180Z","title":", author Karpatne, A","venue":null,"work_id":"4a1a9151-1af6-41f2-a23e-9d3295aca032","year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.229651Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:33f365cb22150dbb4db38b47b8ebbb714dc178e2045e6720b11b581e26b4a8f2","observation_id":"2bef096c-efec-44ca-96c1-f9a04d4cb902","resolution":{"observed_at":"2026-08-12T17:49:35.167070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.155490Z","title":", author De Haan, L","venue":null,"work_id":"5bcd033d-acd0-4f95-adf6-ed93edb013c9","year":1974},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.232537Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:727141da71603d67e457f581fe918c75bbc6e1f81f6ab0a1cf9d8fc94e27c5e4","observation_id":"e441ef92-1a87-4243-9db6-a770893c48b3","resolution":{"observed_at":"2026-08-12T17:49:35.158487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.147111Z","title":", author Segerdahl, C.O","venue":null,"work_id":"2e931372-a8d6-4ee5-a2e1-ba07486c73c1","year":1960},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.235601Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:9187e05133cea0fa45caa447757c35136da54c21389223967ee635ed146e5444","observation_id":"94616ac8-45ee-46f7-85b8-38dc08394676","resolution":{"observed_at":"2026-08-12T17:49:35.150111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.138518Z","title":", author Jenkins, G.M","venue":null,"work_id":"41720ef4-1938-46d7-803b-863c88f31f88","year":1970},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.239162Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:6d64b2331fc0fc60692cc9ef2b034eea6d78c1c84ce47c693136ffc48475f307","observation_id":"100f2a73-32a7-4d7b-b550-a6e936e9758b","resolution":{"observed_at":"2026-08-12T17:49:35.141815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.129972Z","title":", author Holgate, S.T","venue":null,"work_id":"9bc50cfa-36b0-4fe7-bf79-557ed85ea5c7","year":2002},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.242333Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:328c664ee6ee3c86585a3b9b7db89009bef788b2385fa8c5b41d824b76a11d64","observation_id":"f264d11c-fc26-4c07-b20a-67372adb1ea3","resolution":{"observed_at":"2026-08-12T17:49:35.133174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.120523Z","title":", author Schere, K.L","venue":null,"work_id":"6a849eb8-a6fc-4559-a412-b6b4bf40f079","year":2006},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.245159Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ee8a2b1e93cee918b0d932cc50868ddcd5b291ef744f59720acb97dc9eb2a4b7","observation_id":"9f38a0b6-5030-4d97-8958-d9ec38b1134c","resolution":{"observed_at":"2026-08-12T17:49:35.124127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.110263Z","title":", year 2012","venue":null,"work_id":"d81ca181-fa85-4782-8a9b-9c5671f37dd4","year":2012},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.248357Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:16cf4686312a50b9c859b5e3b98ec1e1cc5974a45ae765ad6828193a6e9112ce","observation_id":"385223ea-bab3-437f-8259-d26297d5613f","resolution":{"observed_at":"2026-08-12T17:49:35.114388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.100839Z","title":", author Lei, X","venue":null,"work_id":"107f75f4-70a1-4d1e-913a-9debb9b2ac85","year":2015},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.251525Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:60cbac4cf24ed6252f26ac28e16949a5a16038f603ec73dfeb7c01b3848f1795","observation_id":"54b612af-a26d-4145-a413-2211f7fac121","resolution":{"observed_at":"2026-08-12T17:49:35.104547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.091585Z","title":", author Kang, Y","venue":null,"work_id":"456c0a09-5675-4ec5-9942-ba29db56d656","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.255081Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:3ccdde8d95646328cc3364ead43c15f365d26e95f1a47804bf955eaa72c11409","observation_id":"4d5f8b12-39dc-4497-9bc7-437af21bfc3b","resolution":{"observed_at":"2026-08-12T17:49:35.095101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.082457Z","title":", author Mwita, P","venue":null,"work_id":"505a6cdc-7e8b-4f73-a71a-65a7c36643f4","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.258719Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:9f8d23d5290ed7307e16a5803910b67f15b777c35fb8e8f3e946667ddad4fc0d","observation_id":"d3c90f73-6622-46c8-8388-5c3b7b988e96","resolution":{"observed_at":"2026-08-12T17:49:35.086017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.072334Z","title":", author Ord, J","venue":null,"work_id":"e6f0adbd-8b28-4cc5-8568-bc4f08039088","year":1975},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.262349Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:70707e0b9442a69bb879009f2ab029034731ff3e24a3074c97daed095a4de871","observation_id":"75f8c63f-08be-44e7-be6b-039ecd0a8794","resolution":{"observed_at":"2026-08-12T17:49:35.076202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.064182Z","title":", author Bawa, J","venue":null,"work_id":"66bc2944-1250-4574-8dfc-c42dff287964","year":2001},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.265296Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:8ae423a7e9a0038a79a973dd22da8b182153b2cd84be7e5a2985253ec2a32a7e","observation_id":"4eeb9859-2fb0-4efc-879c-b51661c14995","resolution":{"observed_at":"2026-08-12T17:49:35.067124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.054978Z","title":", author Athulya, R","venue":null,"work_id":"ff4e23d4-748b-445a-a9b7-2f6c193659de","year":2025},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.268448Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:3720b520a4dea8b6d09363b614fd1e9cd58bd582c416ab1fbf4cfe98488de779","observation_id":"008d58d3-6d05-4a26-9a80-a49eb216797e","resolution":{"observed_at":"2026-08-12T17:49:35.059057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.045819Z","title":", author Mariano, R.S","venue":null,"work_id":"2a1f5332-2780-4dd2-9186-9f81c8e2ed8b","year":2002},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.271399Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:122989cb40ceeb97acdff3287e845dae822c09e8e077e93c6b21c718001aace9","observation_id":"6c563f15-da76-47c2-9983-331b42b3bede","resolution":{"observed_at":"2026-08-12T17:49:35.048845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.037365Z","title":", author Li, T","venue":null,"work_id":"5b04f5d3-f73c-491c-a614-1cddc09156c4","year":2019},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.274191Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:71413641f89010d2c6e4d10eb1dda5bad8b1ee976037837aa0312039ebcab2c5","observation_id":"843930d6-0ea9-4e9e-82a6-89c5208b1968","resolution":{"observed_at":"2026-08-12T17:49:35.040248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.027897Z","title":", author Watson, G.S","venue":null,"work_id":"a2d18afe-fbe9-40ce-90c7-b94033e86edb","year":1971},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.277168Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:5987596ecfda2227b1a2e36a54c39d0d2e30360c339d67056d760b28add866c8","observation_id":"86996232-dc3c-405c-9db0-06d2ab497c97","resolution":{"observed_at":"2026-08-12T17:49:35.031862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.019416Z","title":", author Burn, D.H","venue":null,"work_id":"68258755-6a37-4586-843d-94db7555ff35","year":2019},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.280288Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ef466d53ca258c5eaa3f9b36fc9ee8d7da47b46cac6e5e4a3388629576b5c3d2","observation_id":"dba6022c-d76f-469a-87a4-4a846ee8afde","resolution":{"observed_at":"2026-08-12T17:49:35.022314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.009656Z","title":", author Kl \\\"u ppelberg, C","venue":null,"work_id":"9a41fe02-c6d2-4b40-9553-df7aadb81e97","year":2013},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.283107Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:fe09bb7f180db31b89eea3068f0a208dc6f8b12944f9c933b7e0120908d7715d","observation_id":"4ff822f8-61b8-4d86-a3f1-13f2048d90f0","resolution":{"observed_at":"2026-08-12T17:49:35.013363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:35.000738Z","title":", author Rapp, R","venue":null,"work_id":"951fc2c9-7bf5-495d-8f73-b893f6b4ffa7","year":2014},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.285939Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:a41e6917768a86f77ff89c701af538058429599ae967d09167216459f5ca9e98","observation_id":"a9097449-e48a-4c88-afe0-10bc36f87cdd","resolution":{"observed_at":"2026-08-12T17:49:35.003692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.991868Z","title":", author Tippett, L.H.C","venue":null,"work_id":"dfda0174-833e-4604-9db2-61b5232b56c8","year":1928},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.289079Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:76380e1d98a3c1fce8032a798d56e47b2c9bba5cbf3964066c7b8dca87fdde67","observation_id":"6a0a38db-4f7a-4fc3-a42f-21ceffb4e03b","resolution":{"observed_at":"2026-08-12T17:49:34.994957Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.983008Z","title":", year 2000","venue":null,"work_id":"cfea6cb2-99b0-454c-b229-677133423048","year":2000},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.292418Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:723873af6c7631e5e6dd709d754ded2d1ce35763fec27fe8d51890c1d99970c3","observation_id":"3ae824b1-7ad8-40ad-bc46-b238d97b1529","resolution":{"observed_at":"2026-08-12T17:49:34.986250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.973657Z","title":", author Li, W","venue":null,"work_id":"f8531d1b-6a64-4f85-8897-66249eec5453","year":2021},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.295250Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:218ed74445e9fb4425afc6dac255f4462e00c68c5359c100862f4352110e39fa","observation_id":"765dfe94-f264-494e-9978-f08e7a385831","resolution":{"observed_at":"2026-08-12T17:49:34.977081Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.964777Z","title":", author Resnick, S","venue":null,"work_id":"3634f4a5-c0aa-4125-aaef-847bce7dbc47","year":2010},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.298050Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:87205f36b6029251ada2e0e72564634bba5e6fd5dbf4fccd5b4ae67df5a5bb0d","observation_id":"c9d92233-0871-4d9a-b56b-004123a18719","resolution":{"observed_at":"2026-08-12T17:49:34.967998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.300947Z","title":", author Schoenholz, S.S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.300947Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ac3989797dc458e515411397324c65a644b78662d90f46c2c03a44855b1b0344","observation_id":"eafc26ae-e10c-4c05-a6d8-d28b69305466","resolution":{"observed_at":"2026-08-12T17:49:34.300947Z","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":"2026-08-12T17:49:34.303871Z","title":", author Raftery, A.E","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.303871Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ed5b10b53730a76173dddfb4c898a0e53a9f21a71300ddb9cdb76a61707ff160","observation_id":"326652b4-b564-4428-840f-2d01a352d34c","resolution":{"observed_at":"2026-08-12T17:49:34.303871Z","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":"2026-08-12T17:49:34.945351Z","title":", author Wolffram, D","venue":null,"work_id":"84b2bd7b-aa5c-4277-81f7-00440137ccd3","year":2023},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.306853Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:26a320b834ccb5c8dd55cc3bdba04a09e1c4692bdfdf7c92987811c63ca1e02c","observation_id":"547f1a12-f6ae-40d9-9a2c-f472b216ed08","resolution":{"observed_at":"2026-08-12T17:49:34.948560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.936043Z","title":", year 1993","venue":null,"work_id":"f6f8699c-484b-4203-9aac-af65d6a3e2b1","year":1993},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.310381Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ba468ec4472f425a4d1e5345e124774eb06485fdd34aa63210cc7ed2653ff16b","observation_id":"d752afde-9526-4053-81b0-085ad40655b2","resolution":{"observed_at":"2026-08-12T17:49:34.939518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.927380Z","title":", year 2018","venue":null,"work_id":"9f78aba2-709c-4b57-b1fc-82caaef3b164","year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.313789Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:06f4481b1c506404a8b52a38a584891822a09df072f06be5b2a2bb3e64b6168e","observation_id":"78116506-5ed2-4f7d-88c4-daa0f5298688","resolution":{"observed_at":"2026-08-12T17:49:34.930431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.918218Z","title":", year 1958","venue":null,"work_id":"84a86fe0-ca65-4e84-87f8-7c3bb8e55479","year":1958},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.317056Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:9eb0743e1ff8b0537c0597f5119f6a8fe62e2c09a4e1f5a5a502334d833b99e3","observation_id":"1c9fe81a-9017-4035-9e26-f23b59982cee","resolution":{"observed_at":"2026-08-12T17:49:34.921852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.908182Z","title":", author et al","venue":null,"work_id":"13dc1e63-bcd6-48d6-8f6e-13e1b013d1cf","year":2022},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.320163Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:5ff359e5999180393d37deab825f59bef19437718eb00ddbcc024629a0ea9f30","observation_id":"08412215-3800-4d5b-9c32-b4ee9fb97e0d","resolution":{"observed_at":"2026-08-12T17:49:34.912020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.323315Z","title":", author Schmidhuber, J","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.323315Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:4cbd435cba744ead1bd47d2a44b3192638c8dec0980409bb4112f36a3a4da537","observation_id":"1c0e90b2-e957-4030-882e-7309570ccf88","resolution":{"observed_at":"2026-08-12T17:49:34.323315Z","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":"2026-08-12T17:49:34.893437Z","title":", year 1980","venue":null,"work_id":"e5e0ce8c-8fda-473e-9a63-b7ef9a85e975","year":1980},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.326640Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:c30806f6433ab4f269cacf12e0e6cc43ffb3b1cc02066ceb27c266c218366fb6","observation_id":"27250bc5-1466-4277-afd3-f0f760a894c7","resolution":{"observed_at":"2026-08-12T17:49:34.896787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.884225Z","title":", year 2018","venue":null,"work_id":"be776835-32f0-4933-b6b2-af1272726428","year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.329795Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:f4d75c8b3caf682089fe5be72ec6eaf65691192590f9f15fba6c874eb51fff6c","observation_id":"d489daae-f4bd-4a3c-97f4-161bb8bf56ae","resolution":{"observed_at":"2026-08-12T17:49:34.887798Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.875099Z","title":", author Liu, L","venue":null,"work_id":"39beec8c-9e63-42b3-bbda-cf596ec09662","year":2022},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.333332Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:005e85c57c0654d5ab34674088da06f5e8bfc7fc8a735bcab8ab1f0084af23e5","observation_id":"0a5c7662-16ca-4fd6-8955-5b60ee7db362","resolution":{"observed_at":"2026-08-12T17:49:34.878743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.866393Z","title":", author Koh, H.Y","venue":null,"work_id":"684c3867-7492-43b9-843c-4961d862e4ba","year":2024},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.336579Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:059707ce4213c11de0f999333895a1cf83f25fb5ceab21e83ff4f3b4f77063c1","observation_id":"3e2fffa3-dc92-442e-bed5-8e0259db833b","resolution":{"observed_at":"2026-08-12T17:49:34.869403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.857717Z","title":", author Chen, B.H","venue":null,"work_id":"96c376f6-80f1-4653-96b4-5dcb7e017b5a","year":2004},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.339962Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:6fee420e9ca3ac7386a657034150628140b216706c9bb4ec4b5ce04dfdd5ec87","observation_id":"b719a54e-66d3-48eb-b8cf-2220db1351a6","resolution":{"observed_at":"2026-08-12T17:49:34.860702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.343446Z","title":", author Kevrekidis, I.G","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.343446Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:11b5bf88fccdb80c80585d628595f1847dea9b56cc8b704443de7c71a7bd77c0","observation_id":"19ca0bfa-bf92-480f-992d-736f4352f861","resolution":{"observed_at":"2026-08-12T17:49:34.343446Z","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":"2026-08-12T17:49:34.842838Z","title":", author Parlange, M.B","venue":null,"work_id":"be80059a-eb14-4ba4-b3a2-ad35b5ba6969","year":2002},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.346474Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:b140b884d0dcee153ec73a4588ba5e46fdc3762aa42067e0b5c67b9072984466","observation_id":"98294f4c-954f-448f-a264-86f4ffe3d8be","resolution":{"observed_at":"2026-08-12T17:49:34.846614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-12T17:49:34.349502Z","title":", author Welling, M","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.349502Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:98d3852023f69820e17e27d87345a8addcaba20f89b1cbf9f7fd72795ae7143f","observation_id":"db2bf003-ab78-4465-a9be-e4d848ffad8d","resolution":{"observed_at":"2026-08-12T17:49:34.349502Z","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":"2026-08-12T17:49:34.833838Z","title":", author Franses, P.H","venue":null,"work_id":"713593d4-9b24-463a-b4b2-3045b5630198","year":2005},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.353711Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:36530afead200361c0a491f848f13d091014f43ce2bc3845fb5db4482d67d827","observation_id":"9a6d4a04-b639-449d-9cd6-3fe3b9e5f063","resolution":{"observed_at":"2026-08-12T17:49:34.837447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.824875Z","title":", author Jain, V","venue":null,"work_id":"d3ba001f-5347-43e7-8773-8a32991ae30b","year":2010},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.357303Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:1c0cb4d7787252cf556a2e44daf1db79c20ba99da4d4e79de0d7cda0909aacf6","observation_id":"32c953ae-c91c-4779-999a-d759801f2468","resolution":{"observed_at":"2026-08-12T17:49:34.827910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.816604Z","title":", author Monjardino, J","venue":null,"work_id":"a7d26d5d-498b-4be3-9a8b-a9928a371587","year":2019},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.360387Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:2850c9e7b07b5cdd0819d345ed94d8a4e10786288268d930ec269d70de2d44b8","observation_id":"dd5e42d8-1678-4b34-b225-ccfabb29df7f","resolution":{"observed_at":"2026-08-12T17:49:34.819622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.807977Z","title":", author Evans, J.S","venue":null,"work_id":"f1fb0063-a752-4a40-be8e-b19606bd0ce4","year":2015},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.363631Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:7e97eb760ba2d7d24c6722505c1e91b6fbd05dadb7f1a4ede307e48d02bf259c","observation_id":"ab70caac-dae2-4ada-92be-5416fa6d6202","resolution":{"observed_at":"2026-08-12T17:49:34.810907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.799516Z","title":", author Peng, L","venue":null,"work_id":"df62f5ce-c19a-473c-a774-8f8f7e76c3f9","year":2017},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.366670Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:c09dd6419faab343f3e703f7033292d3577751ecc07011811fdec5d7c5d55c43","observation_id":"6e6b8bd2-eea8-4514-aee8-ac388b46fc04","resolution":{"observed_at":"2026-08-12T17:49:34.802511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.790184Z","title":", author Raggad, B","venue":null,"work_id":"fd410ded-c9d9-4b06-8f29-3c784dfa000a","year":2009},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.369576Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:f3e164228d4939c88f8bfeeb9429bb7df130fe4435d43f00ff898344c3921dba","observation_id":"f9a90d8c-4d0c-4128-84a0-fc68530d701b","resolution":{"observed_at":"2026-08-12T17:49:34.793877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.780726Z","title":", author Wikuats, C.F.H","venue":null,"work_id":"2d3b481c-85a4-4a38-bb3d-0b3297119f78","year":2017},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.372685Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:04378c0f3f0d9670fdb1180b1e35a31452161b712271cbbd20d2717ceb7fc94a","observation_id":"7ceee4cc-897b-4ed3-a1e9-5f0b255ad053","resolution":{"observed_at":"2026-08-12T17:49:34.784864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.771544Z","title":", author Sun, Y","venue":null,"work_id":"e1fd515a-3fcd-4d07-919f-1add17de68c1","year":2023},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.375814Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:3f4e5ee80db6008620d8ee76e3811d53f1113a59f33352a02014942f16352f74","observation_id":"2fa938f9-94cc-42e3-9600-1b52568cca5e","resolution":{"observed_at":"2026-08-12T17:49:34.774936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.761802Z","title":"o \\\"o sli, M. , author Naidoo, R.N. , author K \\","venue":null,"work_id":"39a2f1b6-a760-44a4-9532-970e28987ed3","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.379113Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:c54a50c9a2c5195ce50312bc0525b1e00d0175edd2bbc7db135b0323b35dc906","observation_id":"505334f7-dd98-4ebf-97c1-a89f05b7f4a9","resolution":{"observed_at":"2026-08-12T17:49:34.765229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.753258Z","title":", author Sugiura, K","venue":null,"work_id":"057a6285-cb36-4138-b7e5-163b1657c990","year":2016},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.382161Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:671147c702c3044dbe69a04a7a0ffd5fddbeaf25a9cd7a046ca01389ce462658","observation_id":"d0027ec2-240a-408e-8661-8b340e2764c1","resolution":{"observed_at":"2026-08-12T17:49:34.756105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10437","last_updated":"2020-02-20T21:08:57Z","snapshot_observed_at":"2026-08-20T10:46:36.433445Z","submitted_at":"2019-05-24T20:28:57Z","title":"N-BEATS: Neural basis expansion analysis for interpretable time series forecasting","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.10437","snapshot_observed_at":"2026-08-12T17:49:34.385161Z","title":", author Carpov, D","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.385161Z"},"links":{"cited_paper":"/paper/1905.10437","citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:53c9e4aec1ef0a7541685213d9a49742718a4ad224bf90a9540e8ee66585397b","observation_id":"536de8a3-1ca1-42e0-8b3e-5100899d8f32","resolution":{"observed_at":"2026-08-12T17:49:34.385161Z","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":"2026-08-12T17:49:34.744952Z","title":", author Brauer, M","venue":null,"work_id":"67371481-2dbf-4a6d-95c0-af56ad04f7e9","year":2021},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.388258Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:8f223534ce97bce1ca30fd65f8e68c8efcebd33f35b752758ed4848afcbaa6c1","observation_id":"9814a9a9-69b4-4486-8c2a-e771e3f1ab73","resolution":{"observed_at":"2026-08-12T17:49:34.747874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.735866Z","title":", author Deutrch, S.J","venue":null,"work_id":"75566e01-ccba-4062-858b-2e4199cba99e","year":1980},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.391359Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:0e19a521e2080a835b670933d10b7c459d42237ec3d458483357ac6226cc6d26","observation_id":"a99addf5-cba8-49df-af78-3db59ddc9a73","resolution":{"observed_at":"2026-08-12T17:49:34.739558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.726915Z","title":", year 1975","venue":null,"work_id":"d0f5267d-8476-4289-a37c-b23180812f87","year":1975},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.394374Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:5c579202389baf152b7939133fb8db1c610ed84d9708da01d855c9ad4db6ef66","observation_id":"25c34bef-7f26-4ac4-a257-b427504cf4ab","resolution":{"observed_at":"2026-08-12T17:49:34.730300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.397425Z","title":", author Perdikaris, P","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.397425Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:d4919375ef35ca3cd01c5491b6ee384e94e95d54bf257a62291c1dbc4dbf8ba3","observation_id":"4df7fe21-c8be-422a-b037-6a9ea4a2dea9","resolution":{"observed_at":"2026-08-12T17:49:34.397425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04502","last_updated":"2023-12-07T18:23:52Z","snapshot_observed_at":"2026-08-18T02:02:00.707593Z","submitted_at":"2023-12-07T18:23:52Z","title":"Pattern change of precipitation extremes in Bear Island","version":1},"cited_work":{"arxiv_id":"2312.04502","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.04502","snapshot_observed_at":"2026-08-12T17:49:34.512334Z","title":"Pattern change of precipitation extremes in Bear Island","venue":"physics.ao-ph","work_id":"f330c7be-ae7a-4bdf-8653-2084386e41b5","year":2023},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.400406Z"},"links":{"cited_paper":"/paper/2312.04502","citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:0b56381ce71a80a2543d70d363a33b7769192ad10fd4dc76fd4c840366d4fe04","observation_id":"46cf54a0-78ea-47e9-bd37-d885384bd83b","resolution":{"observed_at":"2026-08-12T17:49:34.517938Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.713373Z","title":", author Thomas, M","venue":null,"work_id":"5c6fdb14-0b3a-4a60-816a-b6ef1bd11a5c","year":1997},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.403799Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:abf9845ad4800f052badf251858e527a8a5cd6f3f4e57f4bad72e2ef47064a17","observation_id":"43d61920-66fb-46fa-95ba-27da3b0e76e2","resolution":{"observed_at":"2026-08-12T17:49:34.716652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.705537Z","title":", year 1979","venue":null,"work_id":"6f1b64f9-11d7-460a-ab26-415bf2cc8302","year":1979},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.406781Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:f7736dfeaaadfa3d07bbe87de7a8803679cdc1d0c172bfe25930ac061108693e","observation_id":"46072515-e3fc-467e-9367-179c483b336e","resolution":{"observed_at":"2026-08-12T17:49:34.708263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.696183Z","title":", year 2014","venue":null,"work_id":"612dc5b4-2aab-4609-9237-307b7c43f4d5","year":2014},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.409549Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:69997b6817bb8f9592128d146cf77c1f5ae463ddf817a055b8bd55141e34750b","observation_id":"bcccaaab-beac-4b9d-94b7-e47d2cdc2f66","resolution":{"observed_at":"2026-08-12T17:49:34.700050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.687151Z","title":", author Borovkova, S.A","venue":null,"work_id":"d15c3c5e-4033-4f6f-a4de-e58d817df352","year":2012},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.412472Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:1551791acfcaa3c36a423c1703ea626f57ba3786fab07950af3e77d1aae48ff1","observation_id":"5298ac90-9beb-4cc0-b642-34cf11584296","resolution":{"observed_at":"2026-08-12T17:49:34.690765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.677830Z","title":", author Singh, K","venue":null,"work_id":"009ae5ff-a072-4ced-b8fa-6edab08ad28e","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.415502Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:1100d33910ad484f92205a39697b08f8bdaf2b3af6c3aca62f00c69c4289d603","observation_id":"2fabeb59-f3f4-4f2a-ba60-f3f974828665","resolution":{"observed_at":"2026-08-12T17:49:34.681563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.668841Z","title":", author Flunkert, V","venue":null,"work_id":"66ac9269-5cec-493a-b4ce-f0acab968bfe","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.418352Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:09c7312ae794ae73a86da3db621288dfad3f1bdb4b3039d111f55091f72b11a0","observation_id":"8ae12b47-7c4f-473a-923b-fbb4d11cca93","resolution":{"observed_at":"2026-08-12T17:49:34.672080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.659629Z","title":", author Kumar, G.A","venue":null,"work_id":"ed9abc7b-c165-47df-b494-5f5c42f0ead5","year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.421253Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:eaa2aa4c2a9cb8d1a9ba4cd692e0ecf5a7c92123ae0cd21135d88945b2667a41","observation_id":"b9b74181-6b28-4ae0-9ec1-200f8792539a","resolution":{"observed_at":"2026-08-12T17:49:34.663143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.651121Z","title":", author Panda, A.K","venue":null,"work_id":"9acd8ce8-9f6a-4604-8b8f-e7154433da28","year":2021},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.424311Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ea8afa8952c60f9d0b7bb745ec03c975005450fcf6be1a0571820f571223de78","observation_id":"7fd48b2c-e9ae-478b-8203-199ad4c83de3","resolution":{"observed_at":"2026-08-12T17:49:34.654143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.641265Z","title":", author Gori, M","venue":null,"work_id":"e0f685e2-6663-4ba2-8b45-81ed098377b8","year":2008},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.427302Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:c677a576536507501b75b8f908a765d7bc80bb6150c045a1635525a8e97dd0f5","observation_id":"35a980ff-4bd3-4cce-9cbd-6ed26f21bdc5","resolution":{"observed_at":"2026-08-12T17:49:34.645642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.632247Z","title":", author Zoras, S","venue":null,"work_id":"2d506489-a0d1-48d2-8b4e-8d0369731c44","year":2006},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.430439Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:1bb2365ec3fa77afe7837dab38ab309046dbf4c034e2b81684e781ff95299da9","observation_id":"6cbe2cd5-670b-4d1e-ac10-abc29cfba762","resolution":{"observed_at":"2026-08-12T17:49:34.635490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.623440Z","title":", author Thomas, M.L","venue":null,"work_id":"7acca105-6526-4aef-a840-59036b3a0be6","year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.433363Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:32ab1fe8064e0c5f7af11f900b9e3d4a1a997756c77ff332f88c768a72c8100f","observation_id":"e9e7a142-bd9f-466f-9244-da05c24f1b20","resolution":{"observed_at":"2026-08-12T17:49:34.626749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.614150Z","title":", author Khare, M","venue":null,"work_id":"df50f938-6d59-4df5-b22a-2f546e888d89","year":1999},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.436583Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:3bb8c817cc91674fcf23819ffac2b0e6a6697f0f54bb4345b14212e3022019f7","observation_id":"82d7600c-6fc5-415f-b4d6-612252dcc8fe","resolution":{"observed_at":"2026-08-12T17:49:34.617854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.604452Z","title":", author Lemaitre, M","venue":null,"work_id":"00b33577-d938-434a-bef9-5506604b81c3","year":2016},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.439234Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:985cf924c82a21d9c3c7ba6c5901a99a14f24fe31e25067af8f704c772f8e4e2","observation_id":"48300c6e-35d5-4f65-98fc-e15cf853eae4","resolution":{"observed_at":"2026-08-12T17:49:34.607918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.595959Z","title":", author Fisher, B.E","venue":null,"work_id":"cd3b9ffa-f433-4337-a937-89ae25c02954","year":2003},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.442026Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:b880694c60dd806c361820e1ebd8221a9d0d650263ad43f796ea23928371d237","observation_id":"66de8c77-ce8a-45dc-8f9a-63206ced33d1","resolution":{"observed_at":"2026-08-12T17:49:34.598898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.445030Z","title":", year 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.445030Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:34d0d2f3c59fa348292e89922f810206da479fa6b85d66d3c55186104ab6a037","observation_id":"dcdf5173-955a-446d-92c9-fd881c861835","resolution":{"observed_at":"2026-08-12T17:49:34.445030Z","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":"2026-08-12T17:49:34.581969Z","title":", year 1988","venue":null,"work_id":"1bd0bf3a-0807-469b-b8a1-fb7b557719ff","year":1988},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.448585Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:3384a9821721ae2f17fae9ef64d09038b53759ca7e1bbf8256a7df678b5d60b7","observation_id":"f9f001f7-f884-4c65-87bb-bc1fe2bc30fa","resolution":{"observed_at":"2026-08-12T17:49:34.584963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.571969Z","title":", author Gammerman, A","venue":null,"work_id":"c24733df-d03a-4fe7-83be-b7937c849adb","year":2005},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.452268Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:fcaa10112117cd94304c746be502ac1a0d98661d1fc87dcee61abe415fcdff9b","observation_id":"5940504a-63f5-4648-94d1-990eefe91a8b","resolution":{"observed_at":"2026-08-12T17:49:34.575826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.563338Z","title":", author Li, J","venue":null,"work_id":"b1cc25a7-49fc-406d-aaa7-ab29ba6e04d1","year":2014},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.455921Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:f68c8beb8e9a9378071a955a5c08239eda85bae5b8000ab97708f6ef929e518c","observation_id":"f5e136dc-c241-41ec-a816-e0545e50f7c8","resolution":{"observed_at":"2026-08-12T17:49:34.566256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.553670Z","title":", author Macready, W.G","venue":null,"work_id":"080881d1-f476-4c8c-8164-45d3df490b1c","year":1997},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.459034Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:56950dc73198e366d6a6c62094722c926ff09209902e837fcf78f9e445fba2a9","observation_id":"9e1be54e-3007-400b-9131-4a764d685bff","resolution":{"observed_at":"2026-08-12T17:49:34.557531Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08317","last_updated":"2020-01-23T00:22:22Z","snapshot_observed_at":"2026-08-16T04:16:03.799072Z","submitted_at":"2020-01-23T00:22:22Z","title":"Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2001.08317","snapshot_observed_at":"2026-08-12T17:49:34.462412Z","title":", author Green, B","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.462412Z"},"links":{"cited_paper":"/paper/2001.08317","citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:eb7b56c51ee1cf0f237d9da3b5a8cba1c318693e4d42df1030ade0e4d195bf9f","observation_id":"7365a8b9-3ee7-4f95-aae6-03e214aa14e1","resolution":{"observed_at":"2026-08-12T17:49:34.462412Z","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":"2026-08-12T17:49:34.465779Z","title":", author Yin, H","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.465779Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:b9d81a4b50386502cb2c50687c98e16037ea8e29c9ffe6e0fa4035e2e9250e77","observation_id":"543a212e-62f8-4c6a-8fa9-62e41d81f6e5","resolution":{"observed_at":"2026-08-12T17:49:34.465779Z","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":"2026-08-12T17:49:34.543584Z","title":", author Wang, J","venue":null,"work_id":"0eba4367-de8e-473b-958a-6b0f3e1fd672","year":2024},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.469307Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:ae8e0186c95fb21ea21dea1510f3799a30ecb1721c6e7d03f4cab03ffb09b108","observation_id":"3d5a0d13-bc2a-49ae-8598-65c6de8485f3","resolution":{"observed_at":"2026-08-12T17:49:34.547257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:49:34.472628Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting","version":2},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-12T17:49:34.472628Z"},"links":{"citing_paper":"/paper/2411.12258"},"observation_digest":"sha256:af1bc1903d4e5005a6bba600538e73dd68e97a32c8f379be0181847e6e70d32d","observation_id":"1997a888-f0ee-4c50-bddf-dc70521b061c","resolution":{"observed_at":"2026-08-12T17:49:34.472628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.12258","last_updated":"2025-06-25T02:30:31Z","latest_version":2,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-17T23:04:27.891457Z","submitted_at":"2024-11-19T06:16:44Z","title":"E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":68},"total_outbound_references":80},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2411.12258."}