{"as_of":"2026-08-21T10:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0b45425a703ea07fbabbabe8708c955bcfec7d581ba232a20cbaf976f7e10ee","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T04:56:49.930928Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2412.18235/citation-record","integrity":"/paper/2412.18235/integrity","json":"/paper/2412.18235/citation-record.json","paper":"/paper/2412.18235"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:56:50.284338Z","title":"Optimizing Local Climate Zones to Mitigate Urban Heat Island Effect in Human Settlements,","venue":null,"work_id":"03f21e32-026b-4f3c-81e8-a56c6628662a","year":2020},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.834229Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:dead04d781d3bab84ede2f6e500920c139f2e5733a4fd8234b040bc84804c3a0","observation_id":"fe0af797-2233-4995-9406-75cad3b864f7","resolution":{"observed_at":"2026-08-11T04:56:50.288999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.271288Z","title":"Mapping Local Climate Zones for Cities: A Large Review,","venue":null,"work_id":"34e685a1-69e5-459a-9733-b04a4fb29942","year":2023},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.843993Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:be9ff7720283f5aac4fa8835ab8afdcc24512fe23fe1f37493b01d7ca7173bc4","observation_id":"c6fd64e0-3f43-4044-b44a-85f05b5e2ea6","resolution":{"observed_at":"2026-08-11T04:56:50.275672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.253042Z","title":"A “Local Climate Zone","venue":null,"work_id":"f98ba69c-1aa9-430e-9b10-8a674f58380c","year":2018},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.850212Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:ca61c1553b5592d4dc7ac26e7ccbbace9153ab42a9334cc4858604834879cb87","observation_id":"67e220cc-93a4-4079-aeba-563c43a82972","resolution":{"observed_at":"2026-08-11T04:56:50.258740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.234646Z","title":"The Use of Local Climate Zones in the Urban Environment: A Systematic Review of Data Sources, Methods, and Themes,","venue":null,"work_id":"586e40e4-6261-4a1e-b0e9-10fb37be57c3","year":2022},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.854514Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:687e55c3c269d17187810e1156a301abb21d2e1e6a418b175245f4352a19fcd4","observation_id":"73fa6408-de24-4701-81eb-d8d47f2ea750","resolution":{"observed_at":"2026-08-11T04:56:50.240264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.217043Z","title":"Embranchment CNN based Local Climate Zone Classification Using SAR and Multispectral Remote Sensing Data,","venue":null,"work_id":"698d4324-32dc-4399-83e8-5bd3b8fb706e","year":2019},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.858647Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:10ff306fe89ec408dd6f8a37471f4ace2c7acf73b3af02e4df743c63c174fd2e","observation_id":"ea5fceac-115c-4ce0-ba5a-4bf3513aa97c","resolution":{"observed_at":"2026-08-11T04:56:50.222213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.202311Z","title":"Deep Learning-based Local Climate Zone Classification Using Sentinel-1 SAR and Sentinel-2 Multispectral Imagery,","venue":null,"work_id":"855e8bc5-6e52-4129-83f9-783a82e8326d","year":2022},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.864296Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:6f735d4367dbec2b395377d43c0e84e8a876489be2e0a3ec5fa8b7f9b9da5752","observation_id":"3717646b-07af-4755-9ab7-ae7d829b56d4","resolution":{"observed_at":"2026-08-11T04:56:50.207616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.186024Z","title":"On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification,","venue":null,"work_id":"59734682-e557-4e15-8d44-a78ee36f9149","year":2020},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.869996Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:d8d7c7cee706af8fedeeed12574648a54f832c00f7db8cc98c014c6c9d11e078","observation_id":"3a807a3a-8cee-450b-82c7-8a087b1e6a91","resolution":{"observed_at":"2026-08-11T04:56:50.191048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.170155Z","title":"A Dynamic End-to-End Fusion Filter for Local Climate Zone Classification Using SAR and Multi-Spectrum Remote Sensing Data,","venue":null,"work_id":"3729ff6f-95db-4685-882c-ece72a665810","year":2020},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.876550Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:9cfa5176733c3ce60bb698b924e5f8856ae95d2ae524adb6b8a1608ef5d0c773","observation_id":"d5f18789-c059-4a10-8116-8fe514a11c11","resolution":{"observed_at":"2026-08-11T04:56:50.175267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.156419Z","title":"Synergic Use of SAR and Optical Data for Feature Extraction,","venue":null,"work_id":"a3b3388e-eecd-42f8-bb32-b7e1c9905830","year":2023},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.882052Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:241331907ec3ff01b22caa1c43415d8a1513c304c5c041cf50d762aaed540353","observation_id":"b633535b-382a-4642-9c3f-421252fdb397","resolution":{"observed_at":"2026-08-11T04:56:50.160616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.138981Z","title":"Multimodal Contrastive Training for Visual Representation Learning,","venue":null,"work_id":"eb088feb-4990-4830-862d-9be6aba16c80","year":2021},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.885939Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:720e26e261a755f96d88aee934c950b1f506fedc578970ae0d7cfaec112012a3","observation_id":"a4621167-65a5-4ef3-8680-a69caf29ad81","resolution":{"observed_at":"2026-08-11T04:56:50.147325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.113647Z","title":"MVP: Multimodality-Guided Visual Pre-Training,","venue":null,"work_id":"5063d16a-d412-482b-a535-e28c2f0f369c","year":2022},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.889898Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:38f69a546c04ebc6056a7660efdb996ee2e8ab430c5a0291a19eaa79845bf1a7","observation_id":"176742e4-52db-4e44-988b-e857024db6cf","resolution":{"observed_at":"2026-08-11T04:56:50.119105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.098314Z","title":"Learning Transferable Visual Models from Natural Language Supervision,","venue":null,"work_id":"9a200005-2906-4dd9-b894-82dfae8e102a","year":2021},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.894690Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:5054b8341c79da3e281b54590c4fb547a1a48ba3674eab420c29b85fb053a3b9","observation_id":"4260038c-7573-4fe1-a6e6-c03af7696867","resolution":{"observed_at":"2026-08-11T04:56:50.103845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.083178Z","title":"SAR and Multi-Spectral Data Fusion for Local Climate Zone Classification with Multi-Branch Convolutional Neural Network,","venue":null,"work_id":"2fdd0030-aaea-4dd4-8b04-c1b3c26d62fc","year":2023},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.899518Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:f925e3fff90680959fb5f2dddba57eb030fdceb3bc1755502dbec5fa22ba2030","observation_id":"5c06ab1b-da61-47bb-8c46-923dbda464e1","resolution":{"observed_at":"2026-08-11T04:56:50.088346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12171","last_updated":"2019-12-19T14:42:01Z","snapshot_observed_at":"2026-08-19T11:30:01.561383Z","submitted_at":"2019-12-19T14:42:01Z","title":"So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12171","snapshot_observed_at":"2026-08-11T04:56:49.903736Z","title":"So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification,","venue":null,"work_id":null,"year":1912},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.903736Z"},"links":{"cited_paper":"/paper/1912.12171","citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:34a97ae4734c9440d36c75bc4c050bfb0b45a1e1d3ed2332035ee165476a43a8","observation_id":"7844fdef-6a50-43e5-a565-c57e7d752c72","resolution":{"observed_at":"2026-08-11T04:56:49.903736Z","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":"2026-08-11T04:56:50.067941Z","title":"Large-Scale Machine Learning with Stochastic Gradient Descent,","venue":null,"work_id":"ee9c6093-0a86-4c26-bdd1-f3497bcd73ef","year":2010},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.908490Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:5e64e97a2e2bb55caaf22703d1be937c611c282a3be8d9cd2d8a43434ff0834f","observation_id":"17319a06-876e-4d2d-af13-a6bc95647ed7","resolution":{"observed_at":"2026-08-11T04:56:50.073649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.052986Z","title":"Deep Residual Learning for Image Recognition,","venue":null,"work_id":"f3bf1aad-2d2e-4899-b397-24b071b12601","year":2016},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.912489Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:51c3b6ad2c4a62c0d26f3e320c74406824433685ae5660c730204d1ca15ee948","observation_id":"b3a9d416-666c-4b9e-a185-f3a724cde0f6","resolution":{"observed_at":"2026-08-11T04:56:50.058110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.039430Z","title":"Aggregated Residual Transformations for Deep Neural Networks,","venue":null,"work_id":"01132200-72f6-4932-9178-0551a9e27cd2","year":2017},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.917219Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:3fe5b80a08bdb3cd0310d06309b0a2c10235d0ba82596f6e2b01388dcb017d07","observation_id":"0a03e6f1-01c9-4bdb-af01-246fe4edcb23","resolution":{"observed_at":"2026-08-11T04:56:50.043546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.025808Z","title":"A ConvNet for the 2020s,","venue":null,"work_id":"18189243-14e9-44f8-8053-866fac1a9d85","year":2022},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.921919Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:9784d80acb087f209a89204242c7b27e8c080adc772c0bae8e8e62fd1184291a","observation_id":"39dbacb9-c689-4063-b7cb-e5832a35a384","resolution":{"observed_at":"2026-08-11T04:56:50.030325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:50.010416Z","title":"Densely Connected Convolutional Networks,","venue":null,"work_id":"2e834322-8f8e-4980-bd05-4cf41516b0e5","year":2017},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.927155Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:61948c73ea22b024c9c30d00d7edc5b605b167350484d4c4cc0d4decdf03c2d3","observation_id":"60d6b382-3cf1-4b34-b7b3-b57ce8bc16c1","resolution":{"observed_at":"2026-08-11T04:56:50.015969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T04:56:49.991596Z","title":"Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework,","venue":null,"work_id":"09e186c9-5a34-48eb-9ed4-4ad4e91bc1aa","year":2023},"citing_paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T04:56:49.930928Z"},"links":{"citing_paper":"/paper/2412.18235"},"observation_digest":"sha256:f2474518173accc376e6d393f33e10295776bc1025657c44fa27e83c867400f6","observation_id":"adf340cb-713d-4092-8c3d-b19f916d0108","resolution":{"observed_at":"2026-08-11T04:56:49.999136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.18235","last_updated":"2024-12-24T07:40:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T19:23:13.844749Z","submitted_at":"2024-12-24T07:40:07Z","title":"Band Prompting Aided SAR and Multi-Spectral Data Fusion Framework for Local Climate Zone Classification"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":20},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2412.18235."}