{"as_of":"2026-08-11T14:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23e6941c46a926221645dd428b608cff6dfe1bb248d75b5ab06338aebd11cc31","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:20:45.032078Z","state":"measured"},{"denominator":63,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":63,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.18423/citation-record","integrity":"/paper/2506.18423/integrity","json":"/paper/2506.18423/citation-record.json","paper":"/paper/2506.18423"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.10371","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:58.099598Z","title":"Collaboration is key: Exploring the 2021 flood response for critical infrastructures in germany","venue":null,"work_id":"c7f71246-1c84-420f-950f-bcf9adf4740c","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:39.990164Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:bfaf176c0f55c0d98299d18000723c402ff4a7ea1828009eca3af89f3af4ee76","observation_id":"9b20beb2-ff37-46f8-b155-20cc0456a8a8","resolution":{"observed_at":"2026-08-06T23:20:58.178065Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10535","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:57.754739Z","title":"A probabilistic modeling and simulation framework for power grid flood risk assessment","venue":null,"work_id":"1b0565d8-2de1-4a61-a487-91101b34f46f","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.074698Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:e13c55ea91f7dc53665b01068ef317f7b5b6dbade47874044cf6cdcf5b1ce5c9","observation_id":"3c53253a-744b-4ce6-b27e-c651e5a583c3","resolution":{"observed_at":"2026-08-06T23:20:57.838586Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:40.150396Z","title":"A comprehensive analysis method of spatial prioritization for urban flood management based on source tracking","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.150396Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:477448c6a46f9db3a17be9dfef5dbceea7ef45f492fa795d773a4f00a1af141a","observation_id":"a8eab3b8-ca5a-4b7e-9ddf-31ea844ace49","resolution":{"observed_at":"2026-08-06T23:20:40.150396Z","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":"10.1007/s11069-012-0167-8","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Nirupama","venue":"Natural Hazards","work_id":"1b37262d-84e6-42ba-be60-eb42e743ff07","year":2012},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.213813Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:d96186ad23916f64d4de8b2d77f9b3ce03f7d383e82cb997f9b975afbdb6aaac","observation_id":"e9f51752-e799-4f7d-9486-2b9c9fd687a6","resolution":{"observed_at":"2026-08-06T23:20:51.065389Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11069-025-07120-7","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Fusion of geospatial information from remote sensing and social media to prioritise rapid response actions in case of floods","venue":"Natural Hazards","work_id":"d4b8552d-de0d-465f-b308-f47e8e71aa9c","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.257453Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:c39588f1fee384c346d2c79cd76094c938d01ac6e2eb0415655282bbf0e7ef47","observation_id":"a469083d-c99a-4971-96f9-8c29f0c6743a","resolution":{"observed_at":"2026-08-06T23:20:50.861712Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[{"edge_observation":{"observed_at":"2026-08-07T06:18:52.852278+00:00","source":"paper_reference_links","state":"open"},"event_date":"2025-03-25","event_type":"correction","notice_doi":"10.1007/s11069-025-07230-2","provenance":{"observed_at":"2026-07-11T02:57:22.630248+00:00","source":"crossref","source_record_id":"10.1007/s11069-025-07230-2->10.1007/s11069-025-07120-7:correction"}}],"reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.11232","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:57.354744Z","title":"An integrated bayesian networks and geographic information system (bns-gis) approach for flood disaster risk assessment: A case study of yinchuan, china","venue":null,"work_id":"fa7a2997-8e9a-45a0-89e4-6454b95f1d83","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.344911Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b5201bc8bb95b8001b58b1863c2b0a851a7ae3e0bd8c4b68d91227b3f3d98267","observation_id":"b3011e0f-f512-43ba-a934-2fb8ebff7fba","resolution":{"observed_at":"2026-08-06T23:20:57.449520Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:40.389919Z","title":"A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.389919Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:8f236fedda5f69db8b0fc708966c5bed1eaf1f044943e8e4633656fb1e46da71","observation_id":"d30bfa0e-9f70-4e11-b74d-87b66ee1e685","resolution":{"observed_at":"2026-08-06T23:20:40.389919Z","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":"2021.12684","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:56.957271Z","title":"Flood hazard mapping methods: A review","venue":null,"work_id":"8b550572-6993-4a82-a0bb-abfc0f16c275","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.457630Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:eadc0b4f8835ae6b50992974b2536024261b672e972c50c49b4bcb7ab680b100","observation_id":"713a2caa-fe92-459d-ac11-d970c102dcc0","resolution":{"observed_at":"2026-08-06T23:20:57.044956Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1177/23998083241235246","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A data-driven approach to analyse the co-evolution of urban systems through a resilience lens: A helsinki case study","venue":"Environment and Planning B Urban Analytics and City Science","work_id":"aff3cfb7-f138-46b2-84db-8cceeb58b51c","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.507386Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:73f06184622801601c2b523e6b47f0ffd7e595a88ea2964d1c436dae96688774","observation_id":"69e1eb2c-6c77-4f5e-99d9-978f8adea8fa","resolution":{"observed_at":"2026-08-06T23:20:50.654770Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11069-018-03567-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"A systematic review on approaches and methods used for flood vulnerability assessment: framework for future research","venue":"Natural Hazards","work_id":"83591db6-5973-455c-8af5-0ff884747a4a","year":2019},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.543381Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:7950cbd3a11fcc960a2e092c9eb54027bfd986e430c3cc2bbc376267e3a06611","observation_id":"23da5c86-4714-4ac5-ad6a-7632897888a4","resolution":{"observed_at":"2026-08-06T23:20:50.427508Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:40.600201Z","title":"Emergency response inference mapping (erimap): A bayesian network-based method for dynamic observation processing","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.600201Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b74ce59ede03651d900f8b81934d710d34b80f789fe576a43b5632e3c0d67159","observation_id":"1812a4f0-9f81-48af-9ab8-0ce4df617e66","resolution":{"observed_at":"2026-08-06T23:20:40.600201Z","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":"10.1177/23998083241272095","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"The rhythm of risk: Exploring spatio-temporal patterns of urban vulnerability with ambulance calls data","venue":"Environment and Planning B Urban Analytics and City Science","work_id":"5ac6f929-420e-46fd-be5e-74341ea2e0ce","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.624418Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:2332fc85cdb6f7622991f05ed5d6cbdaaa70d38325945d81444e079424fe5856","observation_id":"3636975d-ca7b-478f-b9f5-4493a937ec7f","resolution":{"observed_at":"2026-08-06T23:20:50.081267Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ijhcs.2016.05.001","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Improving situation awareness in crisis response teams: An experimental analysis of enriched information and centralized coordination","venue":"International Journal of Human-Computer Studies","work_id":"6a81f4bf-9b9b-4d30-808c-e0bfb9b8fb54","year":2016},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.694732Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:0a1611038ffc5866a22285454459baaa17bdc1ddeaea1bc454afc6e3053a937d","observation_id":"55a8aece-ec8a-46e3-9f30-416988837321","resolution":{"observed_at":"2026-08-06T23:20:49.862058Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10676-024-09750-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Ai for crisis decisions","venue":"Ethics and Information Technology","work_id":"86c22480-0145-41f4-935b-8791bd19315c","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.721753Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:8f4a19464815dcfc3f442a6a46b8d66ac35e39e589ccbc4af49d7de8f26df6ef","observation_id":"086ce0dc-9041-49a0-89d2-45ea6b2ba905","resolution":{"observed_at":"2026-08-06T23:20:49.714743Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.10203","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:56.431520Z","title":"Linking urban structure types and bayesian network modelling for an integrated flood risk assessment in data-scarce mega-cities","venue":null,"work_id":"3118d9ff-c8af-4a44-a815-c77303e166c4","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.774995Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:caabf31d2146003d8dfd94a3ad94ad9e90d6c151847380b1b631f6ab7a2d712e","observation_id":"7e278536-ce6c-454c-abe9-f43885bd1c4b","resolution":{"observed_at":"2026-08-06T23:20:56.527989Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"5705.2019","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:56.041382Z","title":"Assessing urban flood disaster risk using bayesian network model and gis applications","venue":null,"work_id":"0a3f8a13-209d-439b-8031-eeb59d7827b7","year":2019},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.842009Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:85d94547015060662c29675ca9ad0570bcad6c49f8a25803e290f4f367e30057","observation_id":"0d58bae9-edd7-4760-b926-edac1bc21da8","resolution":{"observed_at":"2026-08-06T23:20:56.216486Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-025-89469-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Dependent infrastructure service disruption mapping (disruptionmap): A method to assess cascading service disruptions in disaster scenarios","venue":"Scientific Reports","work_id":"0953abeb-d3b6-4348-a0b0-cc8c8b20831b","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.917649Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:a21ce544d792690cbcb77a2b9d5c0c8d346f59009b9000d4076e371aa2b9ffef","observation_id":"23f0e6b7-406d-4734-b5b3-63243c17edbd","resolution":{"observed_at":"2026-08-06T23:20:49.513968Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1061/ajrua6.0001088","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"An integrated gis-bbn approach to quantify resilience of roadways network infrastructure system against flood hazard","venue":"ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering","work_id":"aef17f2d-a149-4674-92c2-09cbafc48dc0","year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.960336Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:eb10f8d586c2a60d529aec3b480f6bdf1679774456f7e96504a7cb9fb09ee192","observation_id":"68e056e0-cd6c-4aa3-9444-ce4acd49f663","resolution":{"observed_at":"2026-08-06T23:20:49.307568Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2000.86890","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:55.678529Z","title":"Where do the numbers come from?","venue":null,"work_id":"7dd87ed0-f68b-4ca4-9bff-304b9893a768","year":2000},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:40.994808Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:589a2420138c6b036c6db710095ada5e4761e0b75d82b959d2e0d9111e6eacc1","observation_id":"0727a9ab-983d-4048-b44a-740da24aba06","resolution":{"observed_at":"2026-08-06T23:20:55.801374Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:59.458769Z","title":"Roadmap towards responsible ai in crisis resilience management, 2022","venue":null,"work_id":"306c45ed-136b-412a-90bf-e5d5a9faece6","year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.074751Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:c4b28030db7cb232844010c897d1591fe3a98f1f28617c02d12b5e21115c7095","observation_id":"e8b839e9-1330-4330-badc-3d8a1c256518","resolution":{"observed_at":"2026-08-06T23:20:59.570681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:59.337282Z","title":"Bayesian networks: A model of self-activated memory for evidential reasoning","venue":null,"work_id":"aa921cce-e7ab-4bea-954b-2c4e6f72933c","year":1985},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.131161Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:a818e33a1f2978316e23b047364b619fd2d4c743eaa3904b1951b90c805af001","observation_id":"bfae6efb-b59d-44e6-8486-3af8394b400d","resolution":{"observed_at":"2026-08-06T23:20:59.376440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s13753-020-00308-4","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A dynamic emergency decision-making method based on group decision making with uncertainty information","venue":"International Journal of Disaster Risk Science","work_id":"7aad5fb8-abc2-4ce7-9ff2-f0acc1e54d8d","year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.188658Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:632dcf3f536fcce7ccb38b58b863b06de7d52a7105af769a4c28666cc320a382","observation_id":"9040a271-a06f-4f09-ac59-4cdfb51ac244","resolution":{"observed_at":"2026-08-06T23:20:49.108616Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.13104","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:55.356828Z","title":"Integrated bayesian networks with gis for electric vehicles charging site selection","venue":null,"work_id":"fcf392f4-a624-4d11-ac2a-8af561a8553d","year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.227846Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b0b564865107aace53350f9dcb1b6849efa7263c513548998c66c084a4fda3cb","observation_id":"a88e0435-7b14-4595-a981-93b31ff85af7","resolution":{"observed_at":"2026-08-06T23:20:55.436409Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.11400","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:54.994142Z","title":"Stewart, Oz Sahin, and Abel Silva Vieira","venue":null,"work_id":"ff5d8439-6152-41b5-8e90-6bb26b47d004","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.290515Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:4750be15dc9e7fb86f570e061829523d8300c4f0f3a91ea270ee037f4de277dd","observation_id":"867790d7-e4a6-4cb1-8120-6745e02ec199","resolution":{"observed_at":"2026-08-06T23:20:55.125728Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:41.345851Z","title":"A bayesian network model for suitability evaluation of underground space development in urban areas: The case of changsha, china","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.345851Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:c6479b54daa06c63ccbb4e880c8872acde4425f33eb504bf7f1f779e3d0f8a8a","observation_id":"eb927f4a-e334-4e1b-836f-837aa4e6c095","resolution":{"observed_at":"2026-08-06T23:20:41.345851Z","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":"10.1016/j.envres.2015.11.009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Spatial bayesian belief networks as a planning decision tool for mapping ecosystem services trade-offs on forested landscapes","venue":"Environmental Research","work_id":"39eb4c14-1486-48e1-b970-6a94ae09c956","year":2016},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.388683Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:456fce228272e3d8a0b73a70e88bbe4051bd04087d1e7d07a9839849b61e106b","observation_id":"02ce05e4-6ad3-47be-816d-50ce2e2c78b0","resolution":{"observed_at":"2026-08-06T23:20:48.966791Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10708-010-9362-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Application of bayesian networks for fire risk mapping using gis and remote sensing data","venue":"GeoJournal","work_id":"2851716c-7219-4201-bc78-53ba5a2129ac","year":2010},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.475579Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:5623cce5d8ac6469c976d13fcb224523d133b18f9492928598b2010656fbfaa6","observation_id":"1a4143b9-9dca-486c-8bdf-cbf7b5f4c6ed","resolution":{"observed_at":"2026-08-06T23:20:48.698334Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/nhess-6-911-2006","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Grêt-Regamey and D","venue":"Natural hazards and earth system sciences","work_id":"c368ca4b-9586-4e9f-9c69-3571eb18b1b3","year":2006},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.568645Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:87e4ea4abae86ca9e992205f5c1718e80bfea7dd71786e78b1f0879b58cf2b6e","observation_id":"1d390b20-f8e7-41fd-8c52-15c88ea4419b","resolution":{"observed_at":"2026-08-06T23:20:48.513067Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:41.603866Z","title":"A spatial bayesian-network approach as a decision-making tool for ecological-risk prevention in land ecosystems","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.603866Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:c4d0e361ff121bef57ec72a6bd5b83e60307a5c4c558e727836553e47f4a3e71","observation_id":"c8518d4c-fb5d-460c-a0fd-e1803d3d3d5e","resolution":{"observed_at":"2026-08-06T23:20:41.603866Z","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":"10.14311/app.2022.36.0033","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Sousa, and José C","venue":"Acta Polytechnica CTU Proceedings","work_id":"c3165abf-b395-475b-8234-fbb889468be0","year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.660542Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:2fc01b9ea5a3efa5645f03ae927ed62fd0c5118a1e59a4f029822048ccde6223","observation_id":"faea1cce-ab92-4206-a06e-989ca7ea5e6b","resolution":{"observed_at":"2026-08-06T23:20:48.360013Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/land10020210","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Key disaster-causing factors chains on urban flood risk based on bayesian network","venue":"Land","work_id":"052a4112-fff6-4e65-ac10-ef29f4ade064","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.741048Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b43321a4ac9828f8eb67e505b1d2946c234ee1cb527ac6607f8e5cd571c93330","observation_id":"dce87d1f-7a01-4713-87f0-85e28d7577be","resolution":{"observed_at":"2026-08-06T23:20:48.115514Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/nhess-16-1323-2016","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"A spatial bayesian network model to assess the benefits of early warning for urban flood risk to people","venue":"Natural hazards and earth system sciences","work_id":"f7ef9a5c-cff5-4bc2-acf0-ce37fc761ac5","year":2016},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.820490Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b13800dbc2d7d4088683d46ad1787a8233312e7ae0976e3995bc31eaf6de651a","observation_id":"bd3becae-c74c-4c3e-b545-ebdc11360b02","resolution":{"observed_at":"2026-08-06T23:20:47.954013Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:41.955887Z","title":"Identification of issues in disaster response to flooding, focusing on the time continuity between residents’ evacuation and rescue activities","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.955887Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:dfb1d67172d78ea625570fc6c6ffb7cc870cc03ebe3045328562738d9b9e312f","observation_id":"86943301-c869-4bae-b108-dba26543f92b","resolution":{"observed_at":"2026-08-06T23:20:41.955887Z","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":"10.1007/s11069-023-06305-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Identifying decision support needs for emergency response to multiple natural hazards: an activity theory approach","venue":"Natural Hazards","work_id":"f7df87a7-e897-49c1-8eaf-dc2cbd8fb39d","year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:41.996222Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:4f48b6167d2ff9f01098e9b8b3c91342053492f5b998b515ae9f2867892f4f8c","observation_id":"eab14a53-6ee1-443a-b205-8c61dbbb1637","resolution":{"observed_at":"2026-08-06T23:20:47.743212Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:59.117611Z","title":"Generating conditional probabilities for bayesian networks: Easing the knowledge acquisition problem, 2008","venue":null,"work_id":"6726f5c8-f351-45ef-a978-ab3a90cf9240","year":2008},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.067776Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:cdd0cc589aa6a30a5781814a66fe8d9a5743a91e7231531fd19ec842ad3da4d7","observation_id":"17138cac-a39f-4b7b-ab87-650474d088b8","resolution":{"observed_at":"2026-08-06T23:20:59.227127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/su13147851","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Open and consistent geospatial data on population density, built-up and settlements to analyse human presence, societal impact and sustainability: A review of ghsl applications","venue":"Sustainability","work_id":"5a9ce28b-8920-40d3-b625-cf0e21c417b8","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.187452Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:7b6034c4359b97cd738f353ef7df133977dfbdf8d584af86c9fe1b314b6bac1d","observation_id":"659d65c2-0bb0-4056-97d6-f8f9709ee424","resolution":{"observed_at":"2026-08-06T23:20:47.607626Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10534","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:54.102311Z","title":null,"venue":null,"work_id":"2611acc7-a0fe-4329-9d17-a69ec4a349af","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.333514Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:d004ad4bc367ff4530c4b2eadd7af19d3df2365e599d66db8b812f1a973a728d","observation_id":"4d7a5c72-f4c6-463a-abc4-5fa3e0a69899","resolution":{"observed_at":"2026-08-06T23:20:54.220910Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:42.408860Z","title":"An integrated metric for rapid and equitable emergency rescue during urban flash flooding events","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.408860Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:ab90f7123d3f5df707a83f02f3aca51563dd71c9ea666fa38de625507a09b75e","observation_id":"989aef46-c8f1-430e-a500-c07955c137f1","resolution":{"observed_at":"2026-08-06T23:20:42.408860Z","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":"2026-08-06T23:20:58.966847Z","title":"Hexagonal discrete global grid systems for geospatial computing","venue":null,"work_id":"966ca3cb-9184-43ad-ac80-9540a4ff817b","year":2011},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.475010Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b12ee2d185ed8001473ba8971c0e633dd650118f2bb0a591d41833cb2cc63803","observation_id":"847574d5-53b5-4cdc-9946-3964f518486c","resolution":{"observed_at":"2026-08-06T23:20:59.044579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s00024-018-1874-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":"Detection and mapping of the geomorphic effects of flooding using uav photogrammetry","venue":"Pure and Applied Geophysics","work_id":"e4f51834-13ed-4c4c-9528-7c07d844e025","year":2018},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.563742Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:bf92bd5c084f90b8e6063a7324b68a9f7309426eef181c61e0e8334bcaeb66a4","observation_id":"04ef730c-22b7-4614-92d1-dc83e6aa1586","resolution":{"observed_at":"2026-08-06T23:20:47.476318Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11707-020-0818-0","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Jacobs, Chloe M","venue":"Frontiers of Earth Science","work_id":"6cb4bf4c-a8c8-4e5b-85ae-e24310ef4892","year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.685928Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:b68508200e27b582378cce978c815b68b4e474a1f6a8621947aa164b059cbd81","observation_id":"41f7f070-3203-44a0-bc30-c82b87015178","resolution":{"observed_at":"2026-08-06T23:20:47.402125Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s11069-013-0589-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T00:03:40.895421Z","title":"Rapid mapping in support of emergency response after earthquake events","venue":"Natural Hazards","work_id":"3150e7b5-bb6b-47e3-99b0-df4d33e5e7fd","year":2013},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.779966Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:57cdf0ee670144acd2feceb4596af18434043de4fd8905afb6e67695c3f3f5a1","observation_id":"b9e12c2a-0aeb-4e04-a516-e7e03899387e","resolution":{"observed_at":"2026-08-06T23:20:47.179506Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:42.877530Z","title":"Evaluating the robustness of bayesian flood mapping with sentinel-1 data: A multi-event validation study","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:42.877530Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:69a50588e6674cac20075330c49d329c2ee1cab0728829c6d1e82df0277511ac","observation_id":"ab72ca01-0246-4341-9d02-ee2df0a01594","resolution":{"observed_at":"2026-08-06T23:20:42.877530Z","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":"10.1007/s43762-024-00123-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Naser Lessani, and Zhenlong Li","venue":"Computational Urban Science","work_id":"b7d46de8-3f74-434d-a26e-022d63c6bbca","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.028569Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:912453948d42d4cb5701f4ac43dbb68e0c9fb8a551efb9e689528e10e80ce99f","observation_id":"65043f80-09be-4fef-964c-75563e899f8f","resolution":{"observed_at":"2026-08-06T23:20:46.714826Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:43.116924Z","title":"Planet dump retrieved from https://planet.osm.org","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.116924Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:cb48ce27608f75892703df0bc841c7f868c703105ce53d45e2f500a2c07e303c","observation_id":"06af819b-2c88-4bd1-9f11-10a0caf8ce36","resolution":{"observed_at":"2026-08-06T23:20:43.116924Z","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":"10.1007/s11269-023-03500-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"High-resolution flood numerical model and dijkstra algorithm based risk avoidance routes planning","venue":"Water Resources Management","work_id":"24309690-3f73-442f-b6d6-696e6cede2ae","year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.161255Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:6592b8a8550eecd57ef105b065114cca6180fc55dcbbd27189884a31df0849db","observation_id":"0f984753-065b-4fa5-a8eb-06dd5f1c437a","resolution":{"observed_at":"2026-08-06T23:20:46.475649Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9689.2022","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:53.342634Z","title":null,"venue":null,"work_id":"51b4c054-1128-48db-b10a-fbacbf9aa0e9","year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.247534Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:4ed7c7808cbd702426695b6a9c891efaece4254188b3eaa06c58e1573622080d","observation_id":"d1a8233c-4c58-4d37-9106-a0011aac9d0b","resolution":{"observed_at":"2026-08-06T23:20:53.608896Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8696.1996","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:52.876417Z","title":"Aspects of the January 1995 flood in Germany","venue":null,"work_id":"99c7c3da-47fe-4ee5-9840-e725e9451f01","year":1995},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.324209Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:9a43177b2e0e56d032c867669d7695faedae5796bae10be5f05a58faef6a82c3","observation_id":"0c6ff7c7-d22a-4043-97f9-c7c25e8acdec","resolution":{"observed_at":"2026-08-06T23:20:53.042744Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5194/nhess-10-1697-2010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"assessment of economic flood damage","venue":"Natural hazards and earth system sciences","work_id":"bd487d81-744c-40cb-938b-8d9a9e1d6084","year":2010},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.389882Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:10d049c0b12aabe9747f5611638d1b9efd78198a1b9c5edbf1fde43edacd6105","observation_id":"1521d944-5656-4f96-b553-c56d343a03f8","resolution":{"observed_at":"2026-08-06T23:20:46.210208Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/jfr3.12933","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Spontaneous volunteers and the flood disaster 2021 in germany: Development of social innovations in flood risk management","venue":"Journal of Flood Risk Management","work_id":"3e5e96ef-ea8b-43bb-bcdc-2c86f2c16c4d","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.494453Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:4e8a915ed6c6cb4cdd75fed860908c0051f996cd443f64be640bf0fcb7ef0f38","observation_id":"35d463f3-14e9-4a22-85ce-f5c03c05f966","resolution":{"observed_at":"2026-08-06T23:20:46.044903Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10553","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:52.284837Z","title":null,"venue":null,"work_id":"58bf4f26-6c8f-4d26-85cb-ea0b0474c26b","year":2021},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.577648Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:91878931191abed111301f076d4aa46276b13f01cac6e9f313acef4c19dd566a","observation_id":"a6a069b1-2a88-4d76-b159-cc1081b69858","resolution":{"observed_at":"2026-08-06T23:20:52.454748Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:58.708789Z","title":"INSPIRE Dataset Feed: Flood risk map Layer NRW - Low probability (HQ500) , [accessed 09.04.2024]","venue":null,"work_id":"e98d1bb5-af8e-4258-ab8c-87c9adf6ce7e","year":2024},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.633818Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:299b9875b6595935d8fe04e35949d35b60124d4a5070f4f2361b337d2f5a7f45","observation_id":"dff98c77-b7e8-4162-9346-318a45ed989a","resolution":{"observed_at":"2026-08-06T23:20:58.811598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/jfr3.12600","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Critical infrastructure cascading effects","venue":"Journal of Flood Risk Management","work_id":"a9668383-b2a7-4103-81cf-b7e6bb89db80","year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.720575Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:0a70c14c1bda7902166fcf2f6d12cb8e0d7b410e628b670625fc00220280e1fb","observation_id":"819f368b-9bf2-44ad-a867-d4814d456015","resolution":{"observed_at":"2026-08-06T23:20:45.820023Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.11834","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:51.859155Z","title":null,"venue":null,"work_id":"2ce30ac8-1218-4852-9c9c-64d58949fcee","year":2022},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.823682Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:f8d3f39508b003ffc6474b6a8b53d54e146fafd75f59db3b683e674067b75c5c","observation_id":"1f913bc8-7387-432f-85b1-963342bed20f","resolution":{"observed_at":"2026-08-06T23:20:51.984746Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:43.951922Z","title":"Hassall, Gordon Dailey, Joanna Zawadzka, Alice E","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:43.951922Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:9e88b19f8f0bd0cc41729c3d57eceed016c1831c334217f3a6bce1eca7d8eb4a","observation_id":"f28d8d7c-562c-4940-8ef4-e8db29de71df","resolution":{"observed_at":"2026-08-06T23:20:43.951922Z","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":"10.1016/j.envsoft.2013.10.010","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Morris, Jeremy E","venue":"Environmental Modelling & Software","work_id":"1b4d7152-d81e-4c83-884f-22e71103d54f","year":2014},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.275826Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:a6bbf71021d9c2461954b3fa597a8b7a96e1701faca8866941ef617b0f1f7a1f","observation_id":"9c72eccd-2bc1-410a-a374-144b5feac210","resolution":{"observed_at":"2026-08-06T23:20:45.562926Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:58.499386Z","title":"Bayesian networks: A model of self-activated memory for evidential reasoning","venue":null,"work_id":"a1f66018-d634-4cfd-b70f-c7f59af08b7c","year":1985},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.380520Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:ee6de4e383a7f2409df4fe4e300bd6466fbe1e754df416c3f40cac576c00e1e9","observation_id":"b9f36959-8700-45a2-b7d8-24f6722e06de","resolution":{"observed_at":"2026-08-06T23:20:58.592615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.10526","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:20:51.423983Z","title":"Do we practice what we preach? the dissonance between resilience understanding and measurement","venue":null,"work_id":"453bcf51-c76b-4746-acee-49189f28113b","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.430781Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:838bbe8e1c189e89428b32a3838f08fcbec799676b5b3b1c12b231a5889f9732","observation_id":"ba11b71d-1b4d-4d18-b319-5bf8b6018a92","resolution":{"observed_at":"2026-08-06T23:20:51.515785Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/icngcis.2017.35","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Systematic literature review of data quality within openstreetmap","venue":null,"work_id":"a14c32be-9b93-4801-906e-048f0c6ee12e","year":2017},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.555924Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:e993e89a902563faaedb3c67414416bb203ac88fcafbe6f72d8e3a32a4c8480d","observation_id":"583a4bcd-b414-4830-933c-5da19c58f598","resolution":{"observed_at":"2026-08-06T23:20:45.242399Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:44.657510Z","title":"A new method for the assessment of spatial accuracy and completeness of openstreetmap building footprints","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.657510Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:985c14e9e432bf8bb20943d28946edc78a17b3a69af6a60cb2b22b99d90ce689","observation_id":"43f51527-bd30-4129-8252-5f636962c8d7","resolution":{"observed_at":"2026-08-06T23:20:44.657510Z","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":"2026-08-06T23:20:44.808404Z","title":"Quality of crowdsourced geospatial building information: A global assessment of openstreetmap attributes","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.808404Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:ea55fe2844518c1ede49bb89402b871ab085593cac796a48c55a289b57cdee4f","observation_id":"2960240e-3f36-4d74-a73e-f97549d7396c","resolution":{"observed_at":"2026-08-06T23:20:44.808404Z","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":"2026-08-06T23:20:58.368955Z","title":"Recommended practice: Flood mapping and damage assessment using sentinel-2 (s2) optical data, 2025","venue":null,"work_id":"6fc0b179-3911-4aa5-b834-968de8ad3361","year":2025},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:44.924836Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:3ac3886667ad923235a90555038c1614be8c9041cfb106be7192774e495c53c1","observation_id":"0a20b65f-3d42-4bab-935e-776f65249154","resolution":{"observed_at":"2026-08-06T23:20:58.408778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-06T23:20:58.253271Z","title":"INSARAG Guidelines Volume II, Manual B: Operations","venue":null,"work_id":"dcf96271-016a-4e3c-82e1-212200c44a27","year":2020},"citing_paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T23:20:45.032078Z"},"links":{"citing_paper":"/paper/2506.18423"},"observation_digest":"sha256:4f96ec620d7cb9250fbb1ffca62d7e79992a910c58d79721e3135035da3c3a7f","observation_id":"1246803c-b7c9-45d9-84ef-87601ad346d2","resolution":{"observed_at":"2026-08-06T23:20:58.295001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.18423","last_updated":"2025-06-23T09:03:13Z","latest_version":1,"primary_category":"stat.AP","snapshot_observed_at":"2026-08-09T20:58:07.479676Z","submitted_at":"2025-06-23T09:03:13Z","title":"A Method for Rapid Area Prioritisation in Flood Disaster Response"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":12,"parse_uncertain":0,"unresolved":12,"verified_exact":31,"verified_fuzzy":8},"total_outbound_references":63},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2506.18423."}