{"as_of":"2026-08-07T19:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ab4766adcc4efb0d72826f77bd73e735d96617dc8e713e36d772e7e79a41b2a","coverage":[{"denominator":98,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":98,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:16:48.735743Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:46:37.394807Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.00659","snapshot_observed_at":"2026-08-05T16:46:37.394807Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.17876","last_updated":"2025-08-25T10:29:59Z","snapshot_observed_at":"2026-08-05T16:46:23.681523Z","submitted_at":"2025-08-25T10:29:59Z","title":"Camera Pose Refinement via 3D Gaussian Splatting","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-05T16:46:37.394807Z"},"links":{"cited_paper":"/paper/2507.00659","citing_paper":"/paper/2508.17876"},"observation_digest":"sha256:a948ae5e3dbb4b9f599f16bfe49ebf76cedb44fd1e94cdb548f8bafea7211f84","observation_id":"257d89ea-90da-45d4-bfb5-51a19623e396","resolution":{"observed_at":"2026-08-05T16:46:37.394807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"cited_work":{"arxiv_id":"2507.00659","doi":"10.48550/arxiv.2507.00659","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.00659","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Zhu, J., Yan, S., Wang, L., Zhang, S., Liu, Y ., Zhang, M","venue":null,"work_id":"812b1249-03c3-4797-a856-912a04318cff","year":null},"citing_paper":{"arxiv_id":"2605.05351","last_updated":"2026-05-06T18:23:39Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-06T18:23:39Z","title":"egenioussBench: A New Dataset for Geospatial Visual Localisation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T16:56:09.776534Z"},"links":{"cited_paper":"/paper/2507.00659","citing_paper":"/paper/2605.05351"},"observation_digest":"sha256:6750b7b63c3f3235c805b4bb32e4d903076fb17c8232c7324cfce1cfb0f74847","observation_id":"60d03b88-ea59-4156-9c72-ec2ebb6aa836","resolution":{"observed_at":"2026-05-08T16:58:31.848576Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00659/citation-record","integrity":"/paper/2507.00659/integrity","json":"/paper/2507.00659/citation-record.json","paper":"/paper/2507.00659"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:16:44.640574Z","title":"https://3d.bk.tudelft.nl/projects/ 3dbag/","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.640574Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:8cd366f0c015b397c12c95431bba5c88ea8865d14a592034b498e33f535353e3","observation_id":"5032a0c2-f24d-4226-8076-403ad56047aa","resolution":{"observed_at":"2026-08-06T21:16:44.640574Z","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":"2026-08-06T21:16:44.685385Z","title":"https : / / www","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.685385Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:fbb3403802dd5640daafe7f29f1cad4fc970bca2d311e77f064339b64fefecf3","observation_id":"a33592f0-beba-4dfa-b9bc-9316f8ac48de","resolution":{"observed_at":"2026-08-06T21:16:44.685385Z","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":"2026-08-06T21:16:44.724765Z","title":"https : / / www","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.724765Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:6fcccdda0a89d4fb39e968185874d455d5831ec0003ea19d9cae87c23f0a8e8f","observation_id":"6882b9dd-7b47-44c1-a936-dc08dfce9470","resolution":{"observed_at":"2026-08-06T21:16:44.724765Z","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":"2026-08-06T21:16:44.735589Z","title":"https : / / www","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.735589Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:d7c68176212610283d90e600cd9d982005fb1dfcd43738d5e20f42822657d4b8","observation_id":"a5443fc3-db3d-4b95-b6fc-6260c4e76016","resolution":{"observed_at":"2026-08-06T21:16:44.735589Z","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":"2026-08-06T21:16:44.765677Z","title":"https://www.bousai.go.jp/ kohou/kouhoubousai/r03/102/news_05.html","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.765677Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:928335ce25a0dadf0a492e06071cca827acba6a2b2f117e70feec8063fd021fa","observation_id":"af15765e-92eb-422f-b5f3-2974890ac095","resolution":{"observed_at":"2026-08-06T21:16:44.765677Z","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":"2026-08-06T21:16:44.802570Z","title":"https://geospatialworld.net/prime/case- study / aec / 3d - evolution - of - the - dutch - city-of-rotterdam-the-netherlands/","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.802570Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:3505bc746a8200023e743fd3b03992292d7ea4b06443be088bf22734b872d154","observation_id":"c6893709-9b41-4d9e-a357-e8ddc2619748","resolution":{"observed_at":"2026-08-06T21:16:44.802570Z","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":"2026-08-06T21:16:44.854752Z","title":"http://www.openscenegraph","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.854752Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:4dbbb54fb99b82f5514f6614d49f1eda6411bedf5620054a9eda36e2fa7b1255","observation_id":"f033482d-5c89-475c-94c6-4968088a7d5e","resolution":{"observed_at":"2026-08-06T21:16:44.854752Z","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":"2026-08-06T21:16:44.904797Z","title":"https://www.smartnation.gov","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.904797Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:bcd331c7867c909e6924cbe3915a34f0404af16b33b55284fae8774f34612271","observation_id":"35dee6ce-d865-46b5-9155-814647798252","resolution":{"observed_at":"2026-08-06T21:16:44.904797Z","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":"2026-08-06T21:16:44.938026Z","title":"https : / / www","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.938026Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:35b6745ae70b9df3418bff640684e2ef2133dfa9022d5e6474bb52972028f862","observation_id":"24b43439-036c-4b90-8d1e-b04ea2ae9c81","resolution":{"observed_at":"2026-08-06T21:16:44.938026Z","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":"2026-08-06T21:16:44.984891Z","title":"https : //www.swisstopo.admin.ch/en/vision- and- strategic-fields-of-action-2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:44.984891Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:2724068bde497a18001b4ec6e3387bb9767fb3764fd712c15bf14e9a3dcd09d7","observation_id":"ab79bb1a-ed76-4f0f-8a1a-212be156e12c","resolution":{"observed_at":"2026-08-06T21:16:44.984891Z","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":"2026-08-06T21:16:45.012275Z","title":"https://www.gov.cn/ xinwen/2022-03/01/content_5676226.htm","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.012275Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:62d28892b0e2ed3488af94ac27825f08c5f9718537e4001900becb0cfd9f9448","observation_id":"c04f159d-064c-4779-9919-21a74e8c8888","resolution":{"observed_at":"2026-08-06T21:16:45.012275Z","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":"2026-08-06T21:16:45.065032Z","title":"https : / / aws","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.065032Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:7eeb1e1a3a43c9b2c32393809bf6baa94dc8c0e86aa325e4304b441454c395f5","observation_id":"bc9e1eca-79a4-4971-8376-f792cb8eaf86","resolution":{"observed_at":"2026-08-06T21:16:45.065032Z","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":"2026-08-06T21:16:45.088939Z","title":"https : / / www","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.088939Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:1b7ac2a3dd45e1fcea5066c4172ca15f8f906261c983819b91d7b2f067e3af1c","observation_id":"e6ed3328-7a51-4ff8-b78d-ad176ac5c5ad","resolution":{"observed_at":"2026-08-06T21:16:45.088939Z","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":"2026-08-06T21:16:45.134816Z","title":"All about vlad","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.134816Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:8e39de50856f9eeed466bd60837bd41ac816ed26ec53b45a2f686cea65a800e7","observation_id":"2bb26838-37b8-4960-80dc-bf5d7cb6b9b9","resolution":{"observed_at":"2026-08-06T21:16:45.134816Z","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":"2026-08-06T21:16:45.154886Z","title":"Netvlad: Cnn architecture for weakly supervised place recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.154886Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:1f1c814940185176db6df244db8070801d3d23353c5dd547f248abf03ed3b6ca","observation_id":"ca720f18-e9b8-4203-a3e5-811382d43997","resolution":{"observed_at":"2026-08-06T21:16:45.154886Z","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":"2026-08-06T21:16:45.200277Z","title":"Magsac: marginalizing sample consensus","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.200277Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:be2158ac77dd5241f0d239442862af4ba9c67ea632e2cc9c16c96fd30f8d9b35","observation_id":"c6437e56-dd4f-4fb2-85de-f37e312f8712","resolution":{"observed_at":"2026-08-06T21:16:45.200277Z","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":"2026-08-06T21:16:45.235010Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.235010Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:97892e5a94c4704a008d001689283bcd3d87286c6e49d4fda62165567756797b","observation_id":"f4b32447-4ba3-48d8-a5f8-30c32397a355","resolution":{"observed_at":"2026-08-06T21:16:45.235010Z","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":"2026-08-06T21:16:45.262029Z","title":"Review of target geo-location al- gorithms for aerial remote sensing cameras without control points","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.262029Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:4d1cf1269571dfdfcce7d038a9e96ef77b26c5673dbce2e0333e93c149e5705c","observation_id":"48d8dad8-ee85-487a-93d0-51be280caaa7","resolution":{"observed_at":"2026-08-06T21:16:45.262029Z","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":"2026-08-06T21:17:10.185176Z","title":"Rsprompter: Learning to prompt for remote sensing instance segmenta- tion based on visual foundation model","venue":null,"work_id":"228d3698-5254-4e69-8653-d045e5bfbb2e","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.289210Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:ec81e063974716655015db9572e0edd9762adb0d22f64acf8276dd073a4d5ab2","observation_id":"b07b721c-35f2-4313-99da-881cc165737e","resolution":{"observed_at":"2026-08-06T21:17:10.334454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:09.805702Z","title":"Sdpl: Shifting-dense partition learning for uav-view geo- localization","venue":null,"work_id":"dfc4761b-f2c7-4163-bd7c-0a0673f63ac8","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.334829Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:20f4dac0fd9ef669dcb2004044ca78ec1914ee0f006a4b2aba5669c5b69a9868","observation_id":"0d912284-24ec-4d15-ac21-0afa1c50716e","resolution":{"observed_at":"2026-08-06T21:17:09.966710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:09.494745Z","title":"Real-time geo-localization using satellite imagery and topography for unmanned aerial vehicles","venue":null,"work_id":"00f274c4-1353-4a9b-906d-3b20871e2985","year":2021},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.360219Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:00d246cc1b0431db9fd3a2123788fb87cf8d3077b80f8be1df3863dc1f44ffdf","observation_id":"71b7f865-7d08-4fe5-af87-01bfabf80372","resolution":{"observed_at":"2026-08-06T21:17:09.607200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09148","last_updated":"2023-05-02T17:06:51Z","snapshot_observed_at":"2026-07-06T15:17:05.623407Z","submitted_at":"2023-04-18T17:38:54Z","title":"SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09148","snapshot_observed_at":"2026-08-06T21:16:45.391711Z","title":"Sam fails to segment anything?–sam-adapter: Adapt- ing sam in underperformed scenes: Camouflage, shadow, medical image segmentation, and more","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.391711Z"},"links":{"cited_paper":"/paper/2304.09148","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:3166be86ed76092e9dfb4f470b72b80c468f3102764a1906f968796eec18260a","observation_id":"530306e1-be6a-44f7-a5ac-d6b4b70ea7cb","resolution":{"observed_at":"2026-08-06T21:16:45.391711Z","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":"2026-08-06T21:17:09.154745Z","title":"Monte carlo filtering on lie groups","venue":null,"work_id":"44cb1dcf-a5b3-4df6-bb85-957776660af7","year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.435133Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:ad35bfaf9695c53d5f9ff17229678d9f4d1a5a17d430726eeb971ed5d31329db","observation_id":"dbe068c0-ad11-4154-996e-98c2d0543155","resolution":{"observed_at":"2026-08-06T21:17:09.284844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:08.814741Z","title":"Robust 3d vi- sual tracking using particle filtering on the special euclidean group: A combined approach of keypoint and edge features","venue":null,"work_id":"50a8a282-b470-4df8-a778-668c415a29cb","year":2012},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.484811Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c2353766192497e8afcb90da2ff2cea758dc9145fb068815bb604ce09e1c1a76","observation_id":"5b425fbe-5779-4974-ba52-fc49c0f31bd3","resolution":{"observed_at":"2026-08-06T21:17:08.954819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:08.417442Z","title":"Optimal randomized ransac","venue":null,"work_id":"1ace2f4e-13e4-4462-b539-460e38c2708f","year":2008},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.514878Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:67598bf9dc176bcde4d01113a7cc92f0cc95ba5ac8f3a5a2473516145d94d27c","observation_id":"54bd6a3d-87e9-447a-9cc6-8b4cb1c047ea","resolution":{"observed_at":"2026-08-06T21:17:08.564773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:08.113753Z","title":"Locally opti- mized ransac","venue":null,"work_id":"84b19c00-7ea7-4243-a357-a653f0351abc","year":2003},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.560609Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:2ee621752cc352c1ee59488927e1be97b5bcd9781849f2f8430b901e02a8ebfb","observation_id":"92057349-938c-4478-8035-54c74332026c","resolution":{"observed_at":"2026-08-06T21:17:08.224730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:07.732295Z","title":"A transformer-based feature segmentation and region align- ment method for uav-view geo-localization","venue":null,"work_id":"dd1e1997-e3f4-4c54-a54f-5e62712c6a62","year":2021},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.577226Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:43e6f187d61d4e0b398fb82cd9b24c8eda0818b294f53bd457caa5895a719295","observation_id":"1f63d521-a7e6-45be-8551-eb34b4c0b092","resolution":{"observed_at":"2026-08-06T21:17:07.872650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04155","last_updated":"2023-04-09T04:06:59Z","snapshot_observed_at":"2026-08-04T00:53:01.203130Z","submitted_at":"2023-04-09T04:06:59Z","title":"Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04155","snapshot_observed_at":"2026-08-06T21:16:45.610444Z","title":"Segment anything model (sam) for digital pathology: Assess zero- shot segmentation on whole slide imaging","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.610444Z"},"links":{"cited_paper":"/paper/2304.04155","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:685578330bfff955ccd85e596620b8379d5565edcfd842ae6589de80d00dffa4","observation_id":"faf1ee2e-8144-4dc3-8913-dbb2dfa58935","resolution":{"observed_at":"2026-08-06T21:16:45.610444Z","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":"2026-08-06T21:17:07.294748Z","title":"Superpoint: Self-supervised interest point detection and description","venue":null,"work_id":"bf57d425-f50f-40ca-bb1e-758b68e27977","year":2018},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.649564Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:a2906aa8a1d4a050d5a054620a35c98314c0f231d045655ae4c280f5fde9a037","observation_id":"5ce05375-bbc4-41d6-af55-0e837d7abd6e","resolution":{"observed_at":"2026-08-06T21:17:07.484819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:06.916452Z","title":"Roma: Robust dense fea- ture matching","venue":null,"work_id":"bee05ed5-4bde-4a3b-8f84-58ec3a15fc66","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.684753Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:f743bea5dfa48e54e3e2c4109384dbd17141edd2e20dc7f6a1c7bd1f724ebed1","observation_id":"b9b6378c-31b4-44e8-9355-0590e5ce8069","resolution":{"observed_at":"2026-08-06T21:17:07.054748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:06.364758Z","title":"Pranet: Parallel reverse attention network for polyp segmentation","venue":null,"work_id":"2b64e57f-4255-4882-bd8d-7d3807d557ff","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.744753Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:3bb6f4e72600ef58b0ae5f106c752af21e1fe77b92b74105859e739cbbaa5040","observation_id":"288115e8-bdc1-4c55-8d32-ba5ca432d1ff","resolution":{"observed_at":"2026-08-06T21:17:06.634830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:45.804753Z","title":"Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.804753Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:659627d4f587f1dd4f52829096082c6ac703c891cee2e8bc5628fc7c5e3fbf76","observation_id":"8ddb3064-3a3d-4f31-81f5-b33823a244a6","resolution":{"observed_at":"2026-08-06T21:16:45.804753Z","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":"2026-08-06T21:17:05.884754Z","title":"gdls*: Gener- alized pose-and-scale estimation given scale and gravity pri- ors","venue":null,"work_id":"22f691db-f852-4adc-9912-6fb664f80533","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.856672Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:692fce4b238c234db17094c01fe0c2f95abe4952d9a51f3d50146135b807fb5f","observation_id":"73eb2642-4c21-41b7-84eb-c60e53fd9014","resolution":{"observed_at":"2026-08-06T21:17:06.014404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:05.527661Z","title":"Bags of binary words for fast place recognition in image sequences","venue":null,"work_id":"e45cd79f-7de4-4f81-87f5-a94c8ad3616c","year":2012},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.890189Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:2cdc4439778c20710b4826c28de6ed3f5e44d5e3f7426494337d15509ddeb1c8","observation_id":"ec565506-cd22-4c82-83b4-52f204f1a5d3","resolution":{"observed_at":"2026-08-06T21:17:05.711880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:05.300188Z","title":"Self-supervising fine-grained region similarities for large-scale image localization","venue":null,"work_id":"54003e9c-123d-4a70-a9f9-476bfb52c384","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.934750Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:120f4532cfd38f2776002652827be9dc2f1f477e1a150c67ba2830afb6387730","observation_id":"c48cbdda-ded0-4824-85b3-7352c520a427","resolution":{"observed_at":"2026-08-06T21:17:05.383478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:05.025258Z","title":"Ogc city geography markup language (citygml) encoding standard","venue":null,"work_id":"a1e2efe4-5a88-4b4a-84e1-8bf11bd7f477","year":2012},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.965667Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:d77af2512fc07ef6e3502e759aabdccfe636b4369ef6c3241ba70d69acd960ec","observation_id":"214abe07-2ffc-4376-8d53-77b56623fce5","resolution":{"observed_at":"2026-08-06T21:17:05.151807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:04.584801Z","title":"Review and analysis of solutions of the three point perspective pose estimation problem","venue":null,"work_id":"9880d44a-b048-4ed6-9e90-51c98a624ff4","year":1994},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.969273Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:03b74d123d30536f655bc7aa657b5743883e20d10c63b336931e1cfa6c4a6007","observation_id":"ea5ae3e9-7bfd-4ff6-80c2-e2b059e40f47","resolution":{"observed_at":"2026-08-06T21:17:04.771194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:04.200258Z","title":"Patch-netvlad: Multi-scale fusion of locally-global descriptors for place recognition","venue":null,"work_id":"b6932bd2-0246-4204-ad0d-77b59f5cb49c","year":2021},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:45.990504Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:4baac692a29210f4ddb445b7f6096c1d43bc6ca73068cfab3acb6baa2c74b4c4","observation_id":"a8e1194e-8467-490f-996b-4c6d96b5345b","resolution":{"observed_at":"2026-08-06T21:17:04.365308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:03.849378Z","title":"Investigating the role of image re- trieval for visual localization: An exhaustive benchmark","venue":null,"work_id":"7229c5bf-b3c3-4dd9-9b99-08c6068f9208","year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.003651Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:410bf23bb104a107171acecbb41f8fcea57e916f1107ebe248a265c9b23f445d","observation_id":"7cbe4927-e359-46b0-becc-729ad40b22a8","resolution":{"observed_at":"2026-08-06T21:17:03.994745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:03.554817Z","title":"Particle filter networks with application to visual localization","venue":null,"work_id":"82961b2c-c2d6-4a3c-be9b-88f78ce0e24d","year":2018},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.024747Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:7b3743112ac66494ba7b4ac0207c6c2e8fddc20bed5bd07410064861c79403f6","observation_id":"6204a689-140f-435e-be8c-54080bad0180","resolution":{"observed_at":"2026-08-06T21:17:03.737137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:46.062058Z","title":"Segment anything in high qual- ity","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.062058Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:32e63e9f4844a4ec13e122349cdc585c84b9637a645571f14f02edd8140365fb","observation_id":"eeaa2dd9-9ccd-445c-b0d5-efa766d3e0f8","resolution":{"observed_at":"2026-08-06T21:16:46.062058Z","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":"2026-08-06T21:17:03.142085Z","title":"Posenet: A convolutional network for real-time 6-dof cam- era relocalization","venue":null,"work_id":"e9ef7678-bc53-4e65-9e5a-a18ca2090d33","year":2015},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.067220Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:e47cbee9071a59a4c72623d3e0fdfe46981ce6bd63d8489af670bb11a1672abf","observation_id":"7cfd5c6f-20b7-4bc6-b22f-6f0dd0c3c7fd","resolution":{"observed_at":"2026-08-06T21:17:03.294815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:46.080240Z","title":"Segment any- thing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.080240Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:b711720257346218fb8d417d518e3c535eceb6caba92955e2d08b47dc7599750","observation_id":"d3d87515-6dbb-45ac-922b-2167bc62c433","resolution":{"observed_at":"2026-08-06T21:16:46.080240Z","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":"2026-08-06T21:17:02.695767Z","title":"A novel parametrization of the perspective-three-point prob- lem for a direct computation of absolute camera position and orientation","venue":null,"work_id":"cbb84bc4-b739-4be9-85fa-1b5905ed1826","year":2011},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.109601Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:79435ae012896a416c4eb152149287e4b4fb02d71f1a3378ebbf9bc77a0cf654","observation_id":"a0b7d0dc-e916-42f5-b607-98ae4bb0d16d","resolution":{"observed_at":"2026-08-06T21:17:02.830199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:02.410983Z","title":"Ogc city geography markup language (citygml) version 3.0 part 2: Gml encoding standard","venue":null,"work_id":"8f8ebd1f-444c-44af-9809-dce8410044ec","year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.144751Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:d9a8e12cc4ca0149859ebfbd3f766db33060ca3d22d7581491f09af8eade93b8","observation_id":"18c734a5-bcb3-4349-88db-6383813f284f","resolution":{"observed_at":"2026-08-06T21:17:02.544780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:02.022412Z","title":"Visual tracking via par- ticle filtering on the affine group","venue":null,"work_id":"f1dbe509-eeca-40d2-9cd3-fe182c4104cc","year":2010},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.187445Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:7b712af5a8692252f4c8e70fc5584832a863e7e8922e142b49fd740ed50b45d6","observation_id":"19759b5a-1d8f-41b6-b7af-c6d7ad80026b","resolution":{"observed_at":"2026-08-06T21:17:02.164751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:01.584751Z","title":"Particle filtering on the euclidean group: framework and applications","venue":null,"work_id":"87ce1966-ee49-49fc-a2bf-09c1e91c2fdc","year":2007},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.203660Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:8bd8f30267d5294ba1b05cd1f26343ff34244cecf54d73e173f9d6ec6e3416dc","observation_id":"14449a01-f661-459a-9778-b640eaf51e74","resolution":{"observed_at":"2026-08-06T21:17:01.782894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:01.206712Z","title":"Monocular model-based 3d tracking of rigid objects: A survey","venue":null,"work_id":"85bd3a40-715a-4300-9e51-e96d81348b17","year":2005},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.235226Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:f7d99a9ea194b31ae86e42c4ba7267146bc1a6e5b51ca50d9e1719d12e886fae","observation_id":"4f462ffb-fef3-4cf6-ae04-7a38b807f7a6","resolution":{"observed_at":"2026-08-06T21:17:01.319693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:00.942878Z","title":"Parallel inversion of neural radiance fields for robust pose estimation","venue":null,"work_id":"ce5d4a97-6817-4037-9d8f-416d6b9c3930","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.257487Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:5fc880f9a914a2bd3df5878d5b32716bf64847bb5c4dc64dd8b3fcefd7afac31","observation_id":"10988763-281e-46bd-af52-2a3a8666ea74","resolution":{"observed_at":"2026-08-06T21:17:01.071743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:00.541173Z","title":"Receptive field block net for accurate and fast object detection","venue":null,"work_id":"73224bfc-9a60-4d83-913a-4e337ae0fac2","year":2018},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.280001Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:21bf5ad333ec6a36133921a2362dec9e912193e535eec51c4523aba4086fccb7","observation_id":"cedb56fb-edd4-4e1f-b7b0-2d61bdf8fc8a","resolution":{"observed_at":"2026-08-06T21:17:00.728267Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:17:00.078909Z","title":"Distinctive image features from scale- invariant keypoints","venue":null,"work_id":"f365f582-93f6-4a81-bbd9-1d11dc401c40","year":2004},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.286821Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:4f1acb4cd5dbab5cbb37eb615486fad5d658e363362e69a07368540d24960f06","observation_id":"1050ed25-d090-4ab7-81c4-3b050f6f8959","resolution":{"observed_at":"2026-08-06T21:17:00.301632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14505","last_updated":"2024-04-03T14:59:08Z","snapshot_observed_at":"2026-08-07T16:44:49.633553Z","submitted_at":"2024-02-22T12:55:01Z","title":"Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14505","snapshot_observed_at":"2026-08-06T21:16:46.304742Z","title":"Towards seamless adapta- tion of pre-trained models for visual place recognition.arXiv preprint arXiv:2402.14505, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.304742Z"},"links":{"cited_paper":"/paper/2402.14505","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:2c55fb9aff5625066cf3acc1f191c75eddae136f63460170679da5d24fcb5fac","observation_id":"c518d93a-2e89-46da-bc9d-fc59cc1869bf","resolution":{"observed_at":"2026-08-06T21:16:46.304742Z","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":"2026-08-06T21:16:59.824751Z","title":"A survey on vision-based uav navigation","venue":null,"work_id":"9bd1e280-2e25-4a68-9902-c48465a9fef9","year":2018},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.333100Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:6911f98a5fd348549fc749acd81d6249e6e3f651fbcf48563d7c3c8733f036b9","observation_id":"8d39a2e3-8404-4265-9ee1-4fdc63c19afe","resolution":{"observed_at":"2026-08-06T21:16:59.956453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:59.544349Z","title":"Large-scale, real-time visual–inertial localization re- visited","venue":null,"work_id":"a2c4cb52-9cb8-4442-b4f2-8987eefb9e26","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.364901Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c0c45addd6fea5dbe900039f05fb43977970274befa373392b6787f4aec56ff0","observation_id":"f6c2bbf7-7398-4c96-b5b0-000b4af6503b","resolution":{"observed_at":"2026-08-06T21:16:59.660710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:59.315169Z","title":"Segment anything in medical images","venue":null,"work_id":"96e13583-c4c9-4c49-b86c-a6d2dde86691","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.379000Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:5706dfcf7ca0993747c68766891927fe335e91d649b744a8750edf112fc1f62b","observation_id":"e04e14a2-801d-469e-93a6-5828c3b26a56","resolution":{"observed_at":"2026-08-06T21:16:59.422091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:59.076614Z","title":"Loc-nerf: Monte carlo local- ization using neural radiance fields","venue":null,"work_id":"21fe7fd5-d893-4749-968c-94dd92a432f0","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.411083Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:7ad24ae22a160c20a9448371a7f78021b0528a2189cf31136d581da3b90133d8","observation_id":"98b90c0a-fb3a-49a3-9f15-4ae36473b1ca","resolution":{"observed_at":"2026-08-06T21:16:59.126260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:58.728579Z","title":"Segment anything model for medical image analysis: an experimental study","venue":null,"work_id":"59e9826f-31b3-46e8-909a-3f95d1fe4061","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.432517Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c864055d46d2a9f90eb4503271d43c91680169884d8dcb5e4c903470d2d43a4c","observation_id":"e814e74f-8a2d-422f-998d-4cd8d44a9705","resolution":{"observed_at":"2026-08-06T21:16:58.874742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.00885","last_updated":"2024-10-31T17:12:57Z","snapshot_observed_at":"2026-08-03T18:47:55.481342Z","submitted_at":"2024-06-02T22:40:05Z","title":"Visual place recognition for aerial imagery: A survey","version":2},"cited_work":{"arxiv_id":"2406.00885","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.00885","snapshot_observed_at":"2026-08-06T21:16:50.265098Z","title":"Visual place recognition for aerial imagery: A survey","venue":"cs.CV","work_id":"0d845fd6-6f06-467a-8512-486c44f3dd0c","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.438100Z"},"links":{"cited_paper":"/paper/2406.00885","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:ddf3ba3cf56085ba9ed2aaeafeffde8e77cf9d06eb2f5ec8733da699ebcbc362","observation_id":"b83c6662-0b11-4f45-83ae-3bba03d5b319","resolution":{"observed_at":"2026-08-06T21:16:50.294614Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-06T05:58:29.182448Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-06T21:16:46.453572Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.453572Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:5ff1b4121979e9eba30d13cbae55bd8c7d78dc92156e88865c426a8e1578ee6e","observation_id":"ba7a2607-ff6f-4846-8b41-d787a2128554","resolution":{"observed_at":"2026-08-06T21:16:46.453572Z","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":"2026-08-06T21:16:58.333937Z","title":"Meshloc: Mesh-based visual localization","venue":null,"work_id":"253ab778-e7c1-490b-9fc7-bf1d53c37040","year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.460169Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:dc002a9e2624dc8e4bdbf30c737afca129fc0ad94555b1aef768cc925afb441f","observation_id":"b0779298-91fa-4df5-9f7c-d8486704ab05","resolution":{"observed_at":"2026-08-06T21:16:58.534969Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:58.020593Z","title":"Visual localization using imperfect 3d models from the internet","venue":null,"work_id":"afcb63db-e176-433c-825b-95be8835a77e","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.470117Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:3620e20978e36a0e48798c7d36c18f44da66791edb00a9e7dd132c27cb16832a","observation_id":"078134cf-b917-4b7e-9e60-08eee58c403a","resolution":{"observed_at":"2026-08-06T21:16:58.150540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:57.799583Z","title":"Automated 3d reconstruction of lod2 and lod1 models for all 10 million buildings of the nether- lands","venue":null,"work_id":"42b108fe-54d6-4781-9f9c-0743e13e4bca","year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.490523Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:faec228b04be1a6cc9e4d068297d52525f622ae15705aca2f1263a7b3273b2da","observation_id":"57c42472-879b-4f25-8cc6-2a2d5a20fe7c","resolution":{"observed_at":"2026-08-06T21:16:57.874745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:57.556912Z","title":"Segloc: Learning segmentation-based representations for privacy-preserving visual localization","venue":null,"work_id":"477ee3a5-bc9d-4304-bbca-aa9ad146058e","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.526204Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c7b1c17392d2125a57a9543f9770788ff88975be6e14a5f2b95ee3f4ac9328f0","observation_id":"aa22a92e-6734-4e80-b76c-4d3ef3960444","resolution":{"observed_at":"2026-08-06T21:16:57.664453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-06T21:16:46.556133Z","title":"Sam 2: Segment anything in images and videos","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.556133Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:cf2fa6efe61d74739e64542118aa534ce3745b23d5cfbc2879c14974c503c213","observation_id":"dec274d4-0dc8-4ea0-ad58-9a61af311947","resolution":{"observed_at":"2026-08-06T21:16:46.556133Z","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":"2026-08-06T21:16:57.286377Z","title":"Segment anything, from space? In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pages 8355–8365, 2024","venue":null,"work_id":"b9f30d09-6490-4109-9d14-a54ff8ad4e98","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.604774Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:e22a19415d5bb26f965308797045dcd815abadbbeda92acf71fa27c9982da84d","observation_id":"734f663b-e508-416b-b87a-44b14bc5e373","resolution":{"observed_at":"2026-08-06T21:16:57.448452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:57.005782Z","title":"From coarse to fine: Robust hierarchical localization at large scale","venue":null,"work_id":"186ce592-0d91-43f3-9aeb-2979f552a243","year":2019},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.644758Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:99e6477e23237b899b96561811bc92a1487ba2ae951ba1c3f8ee37c4390df417","observation_id":"b350baa3-1152-4c35-aa5d-dbd40eaf65f6","resolution":{"observed_at":"2026-08-06T21:16:57.112945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:56.651252Z","title":"Superglue: Learning feature matching with graph neural networks","venue":null,"work_id":"ee44dd02-2f73-4ebb-b7b6-a6b5c00cf6cf","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.749819Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:834ee779615ec21455ba431ebd118e1a0d3700eef54361136edc12adec8a5c4a","observation_id":"37da4ae4-5c54-4031-adfa-6826e1576b7e","resolution":{"observed_at":"2026-08-06T21:16:56.811053Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:56.412756Z","title":"Orienternet: Visual localization in 2d public maps with neural matching","venue":null,"work_id":"44802c9f-3d20-46fc-bc19-7e1b67aba1bc","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:46.871558Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c0071df1ebc138e2d60240eaa7c34ffd93497f291322b206d9a555cbaae2dce7","observation_id":"0630e4cf-8d64-414e-9cab-0d27f204386a","resolution":{"observed_at":"2026-08-06T21:16:56.504752Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:56.094807Z","title":"Snap: Self-supervised neural maps for visual positioning and semantic understanding.Ad- vances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"efd4466a-b53d-43f2-ac6e-cf79d46aff62","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.014975Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:46e59848b56c65b52d83d6c63492515dc6c698b6024eaa6988f763fe2000857b","observation_id":"fdc3306e-126b-402c-a9e6-6699f263d6d7","resolution":{"observed_at":"2026-08-06T21:16:56.192946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:55.806483Z","title":"Structure- from-motion revisited","venue":null,"work_id":"f0d6a944-7878-42ec-a8b9-4a1e3bc42c1f","year":2016},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.189927Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:97ca36d8b9d01d59bc324083c34cd13baae53c1fdff40c6370065dae0b43691d","observation_id":"702d5862-8c7b-4038-acda-2a64e1bb175a","resolution":{"observed_at":"2026-08-06T21:16:55.914745Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:55.506134Z","title":"Role of 3d city model data as open digital commons: a case study of openness in japan’s digital twin” project plateau”","venue":null,"work_id":"29d428ef-8199-44ee-8419-18213a7dcfd4","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.364904Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:0cfba882266028061cdf34f9328d723de27a9a24717f68990bac5f881e840682","observation_id":"2090b41e-bc9b-457a-b480-fefc59c4c9fc","resolution":{"observed_at":"2026-08-06T21:16:55.605526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:55.262567Z","title":"The last puzzle of global building footprints—mapping 280 million build- ings in east asia based on vhr images","venue":null,"work_id":"87ed529c-296a-4eee-8240-38677d448716","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.534749Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:f4f023785c3795620249a7adcf264e7173517e9255940224d9026b9531836776","observation_id":"bd726069-f8a4-4c87-ac76-4d8fd00ac236","resolution":{"observed_at":"2026-08-06T21:16:55.367416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:55.054206Z","title":"Beyond cross-view image retrieval: Highly accurate vehicle localization using satel- lite image","venue":null,"work_id":"e38b225a-28dc-4bdd-8b75-4b3cab476fa9","year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.705517Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:5530602c94d15f8492fbff6b09de848eb48ef1605808cb8492ed19ae04915248","observation_id":"4d0a82d6-3156-414e-bffb-06bc9314db2d","resolution":{"observed_at":"2026-08-06T21:16:55.135755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:54.684743Z","title":"Where am i looking at? joint location and orientation es- timation by cross-view matching","venue":null,"work_id":"26c5759d-9114-4527-9d4c-2d8ec4415d63","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.814884Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:37d2a07afb859d4503c6a267c7684f78831fdc79b2f1480d8cf6bdc84cebd10f","observation_id":"f96dab18-a20d-403f-89cc-e955571c9a49","resolution":{"observed_at":"2026-08-06T21:16:54.914845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:54.374744Z","title":"Loftr: Detector-free local feature matching with transformers","venue":null,"work_id":"ef39219e-efe1-4205-9487-cc3d48136de7","year":2021},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.854752Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:cdfb59f929189d8f3b5143cdcc66acc28070e804192f404e7ae7405b632be43a","observation_id":"a434111f-4ed0-4a15-a6e0-7297c5f23209","resolution":{"observed_at":"2026-08-06T21:16:54.527687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:54.064827Z","title":"Gable: A first fine-grained 3d building model of china on a national scale from very high resolu- tion satellite imagery","venue":null,"work_id":"aebbfa75-cc86-421d-a286-c5246d597223","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.904904Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:1a866faeefd647a46997cbfb1b8ad8b81a26a50e9c92adba48c532a8ea227e2b","observation_id":"2929c142-32bc-4c07-a467-c6f56f9363bb","resolution":{"observed_at":"2026-08-06T21:16:54.184828Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.04709","last_updated":"2023-04-11T03:53:13Z","snapshot_observed_at":"2026-08-02T08:12:49.049315Z","submitted_at":"2023-04-10T17:05:58Z","title":"Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04709","snapshot_observed_at":"2026-08-06T21:16:47.964749Z","title":"Can sam segment any- thing? when sam meets camouflaged object detection","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:47.964749Z"},"links":{"cited_paper":"/paper/2304.04709","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:a25575f311640136c8c1b179b642e3f2e57c1d978d77888be0a1dcbe0bb67eb8","observation_id":"61745903-eb92-4f82-a915-507c9814e9a7","resolution":{"observed_at":"2026-08-06T21:16:47.964749Z","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":"2026-08-06T21:16:53.704822Z","title":"Probabilistic robotics","venue":null,"work_id":"3a36d186-cd17-4696-bd52-fe795cd60d0d","year":2002},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.014778Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:0d498a9cfc2e83e6f9b30e70b3f88d413dd0352ae52c91d013d4a68c0c14144a","observation_id":"db7a596e-393b-44c2-8a26-34fbd52afb74","resolution":{"observed_at":"2026-08-06T21:16:53.894747Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:53.364864Z","title":"Long-term visual localization revisited","venue":null,"work_id":"cf303369-dc13-40d3-920e-44ee26a8c06e","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.054845Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:1e04da694514a0296af833becbbe208a434d05373c48111f38d73211b9e686fc","observation_id":"a22b1584-9939-4c15-b600-cc5bdfd55ce9","resolution":{"observed_at":"2026-08-06T21:16:53.494748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:53.010771Z","title":"The unreasonable effectiveness of pre- trained features for camera pose refinement","venue":null,"work_id":"697de7c6-4e0c-4c41-8235-b29f1341796d","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.086436Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:1a265d7c89aec42d0ff69df557cd2ead0b17465a1ee6fc43eea10761797e2791","observation_id":"58f83a13-81ce-43f3-8371-93388727de77","resolution":{"observed_at":"2026-08-06T21:16:53.168119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:52.584746Z","title":"A survey on load transportation using mul- tirotor uavs","venue":null,"work_id":"77cf07ff-3b7b-4ee3-8f27-66f42c756e5b","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.133492Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:10f751cd1be8b5f9b5cbd416dd55929b9aa7065340ea0de3319568a8822ca7a4","observation_id":"10d10f9f-e79b-4d51-859a-07aa0ca44f36","resolution":{"observed_at":"2026-08-06T21:16:52.766807Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:52.225493Z","title":"Efficient loftr: Semi-dense local feature matching with sparse-like speed","venue":null,"work_id":"18127a07-3071-48d0-8301-7cc0e74b703c","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.184830Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:986cf59e92c000f4f4f2667dff7a706f5731b3c9a323ca1da412d1bf30bb1307","observation_id":"3b5bcdcc-ea83-4dfc-a0a6-4e1ed28db7b6","resolution":{"observed_at":"2026-08-06T21:16:52.344750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:51.963782Z","title":"F3net: fusion, feedback and focus for salient object detection","venue":null,"work_id":"dbdd069c-cbcc-41b2-9d2b-c5032e812a39","year":2020},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.238160Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:193e0852d37e0172e3c2ec8d4281f610ad820d2880e30f3b4d320aa7e59216dc","observation_id":"7f0e0ef7-d6d3-472f-90d3-161cc14d4625","resolution":{"observed_at":"2026-08-06T21:16:52.094748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.08561","last_updated":"2024-07-11T14:51:18Z","snapshot_observed_at":"2026-07-06T18:44:53.587276Z","submitted_at":"2024-07-11T14:51:18Z","title":"MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps","version":1},"cited_work":{"arxiv_id":"2407.08561","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.08561","snapshot_observed_at":"2026-08-06T21:16:49.704743Z","title":"MapLocNet: Coarse-to-Fine Feature Registration for Visual Re-Localization in Navigation Maps","venue":"cs.CV","work_id":"222afd72-c4ee-424d-9ec4-190e97c4864f","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.260856Z"},"links":{"cited_paper":"/paper/2407.08561","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:31205369da2284bf4f93b1c51d608b69f2a9d5d32506e57bfdca39de36e2d2be","observation_id":"3f900ff2-06ae-47ab-8106-28a1de5350ba","resolution":{"observed_at":"2026-08-06T21:16:49.734744Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.12620","last_updated":"2023-12-29T03:40:59Z","snapshot_observed_at":"2026-07-06T15:19:39.223171Z","submitted_at":"2023-04-25T07:34:22Z","title":"Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.12620","snapshot_observed_at":"2026-08-06T21:16:48.265669Z","title":"Medical sam adapter: Adapting seg- ment anything model for medical image segmentation.arXiv preprint arXiv:2304.12620, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.265669Z"},"links":{"cited_paper":"/paper/2304.12620","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:2c54833f4c90a7ba3840681d9a6f691fd5cdb9e2e89bcfa2f9554f39f25c850f","observation_id":"5316cdec-2572-4d8f-b73d-9e6de7ce5019","resolution":{"observed_at":"2026-08-06T21:16:48.265669Z","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":"2026-08-06T21:16:51.624824Z","title":"Uavd4l: A large-scale dataset for uav 6-dof localization","venue":null,"work_id":"9b0582d5-bd45-4bfb-a21b-23f676b7415c","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.271760Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:e59ca63899ef77fa7a1aad9a906c57b0039f3a382d30cca055152fc565870798","observation_id":"ea5bd323-4b4b-4699-81bf-7a5d3e7a1880","resolution":{"observed_at":"2026-08-06T21:16:51.725487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:51.526007Z","title":"Reviewing open data seman- tic 3d city models to develop novel 3d reconstruction meth- ods","venue":null,"work_id":"bc9767bd-0487-40c8-8ff3-c7cbcff031f9","year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.294750Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:8bd215b5fd1c094ee62634872115b468ab2d4451e88fff7b0f85ef6586f5d329","observation_id":"5d878162-e05b-4618-9a02-b4a3d1e4c526","resolution":{"observed_at":"2026-08-06T21:16:51.572220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:51.408243Z","title":"Visual cross-view metric localization with dense un- certainty estimates","venue":null,"work_id":"9333045c-466c-4010-ad99-8d62d76855d1","year":2022},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.339275Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:5a624668153a397fd146732a37b167446fc4890dac2b336f3779695b0870a237","observation_id":"0122cff9-bc87-4a43-8812-ced8beddcda2","resolution":{"observed_at":"2026-08-06T21:16:51.444944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12389","last_updated":"2024-11-21T20:28:33Z","snapshot_observed_at":"2026-08-07T00:49:12.041530Z","submitted_at":"2024-04-18T17:59:53Z","title":"Moving Object Segmentation: All You Need Is SAM (and Flow)","version":2},"cited_work":{"arxiv_id":"2404.12389","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.12389","snapshot_observed_at":"2026-08-06T21:16:49.394830Z","title":"Moving Object Segmentation: All You Need Is SAM (and Flow)","venue":"cs.CV","work_id":"0bd3c99d-f253-4722-b648-08b038ec9073","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.374865Z"},"links":{"cited_paper":"/paper/2404.12389","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c5b5c3a1113e3cfae8c4d64ec90a024d1cf89a5b62ccbbbe7c2bac60f26801ec","observation_id":"f1a68822-e785-401c-a7aa-35fc15a8f8e8","resolution":{"observed_at":"2026-08-06T21:16:49.434749Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:48.414778Z","title":"Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.414778Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:c36f55a2c7cfc08ec52c7bffca57491b122572373c641ddf87b5640a62a68fa9","observation_id":"1f37a61e-59d3-45c2-b6e0-93468eee4668","resolution":{"observed_at":"2026-08-06T21:16:48.414778Z","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":"2026-08-06T21:16:51.314277Z","title":"Efficientsam: Leveraged masked image pretraining for efficient segment anything","venue":null,"work_id":"6ff14868-dcf0-4fdb-bb68-e3d2b63cf8d2","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.453123Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:e026d0156139dd1fdf2d7dc00c1811cddc40057d0b73cb00fe99669b8894c799","observation_id":"5906d8f1-a01c-443d-89c2-42dbba75cc95","resolution":{"observed_at":"2026-08-06T21:16:51.343178Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:51.236792Z","title":"Render-and-compare: Cross-view 6-dof localization from noisy prior","venue":null,"work_id":"b2b30601-da2c-4065-9358-c836f2c643d0","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.504753Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:98a307de5bc9317afbf2e021c5c6fc3d30e8b55a58d53fefb685a5a1b3a1a769","observation_id":"aafa20ea-e14f-4136-be34-3da55590fac1","resolution":{"observed_at":"2026-08-06T21:16:51.274893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:51.142139Z","title":"Long-term visual localization with mobile sensors","venue":null,"work_id":"170dc9f5-e858-45de-a403-cc5543e82df1","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.534749Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:0ab6fff2d945213541b20adc567b4f878d03b5445e9dd038e17e586f97028569","observation_id":"8247bbb9-3e72-4ed4-8ced-0be6aa03b834","resolution":{"observed_at":"2026-08-06T21:16:51.184568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14289","last_updated":"2023-07-01T07:26:22Z","snapshot_observed_at":"2026-07-06T15:46:29.060519Z","submitted_at":"2023-06-25T16:37:25Z","title":"Faster Segment Anything: Towards Lightweight SAM for Mobile Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14289","snapshot_observed_at":"2026-08-06T21:16:48.564358Z","title":"Faster segment anything: Towards lightweight sam for mo- bile applications","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.564358Z"},"links":{"cited_paper":"/paper/2306.14289","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:e8f823d908b0f1a676928fc268e6c6776a06867aa3d06c2295e2376e49a0e0c2","observation_id":"da6928c4-d86d-4134-b1e3-1069c764cbc3","resolution":{"observed_at":"2026-08-06T21:16:48.564358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.12156","last_updated":"2023-06-21T10:08:29Z","snapshot_observed_at":"2026-07-06T15:45:01.961896Z","submitted_at":"2023-06-21T10:08:29Z","title":"Fast Segment Anything","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12156","snapshot_observed_at":"2026-08-06T21:16:48.616280Z","title":"Fast segment any- thing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.616280Z"},"links":{"cited_paper":"/paper/2306.12156","citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:ac116c5812aedab5b943ada8c93c6a3bb782168dcaddf7ddacef55b5030ae385","observation_id":"8abcf81f-420f-40bf-961c-c9bb28b1f85c","resolution":{"observed_at":"2026-08-06T21:16:48.616280Z","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":"2026-08-06T21:16:48.664753Z","title":"University- 1652: A multi-view multi-source benchmark for drone- based geo-localization","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.664753Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:230aea79681179370b5ef8d093d18c0fa17d741b40077cc0073cfb8c49839a1e","observation_id":"94814a64-23fb-418c-bb6a-54c7d5a2251d","resolution":{"observed_at":"2026-08-06T21:16:48.664753Z","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":"2026-08-06T21:16:50.961356Z","title":"Lod-loc: Aerial visual localization using lod 3d map with neural wireframe alignment","venue":null,"work_id":"afcfd63f-ca82-41ee-b7b2-8717e7b71271","year":2024},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.694815Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:53b4631dbf322c447fa26edb3046234ac87dd57c39e94be0240a1ca2b2200ed7","observation_id":"2732a053-4522-4366-aa8f-1c4ad136f0d5","resolution":{"observed_at":"2026-08-06T21:16:50.985780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T21:16:50.825719Z","title":"R2former: Unified retrieval and reranking transformer for place recognition","venue":null,"work_id":"bc6c0edb-33fd-4324-acb9-5187c1ff4cca","year":2023},"citing_paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-06T21:16:48.735743Z"},"links":{"citing_paper":"/paper/2507.00659"},"observation_digest":"sha256:cc34e899a2689e377f5333ba1c48b39066d7c7b970b04b84348d65dd272c797a","observation_id":"656bcd6c-ebe1-434e-8425-79478d3a555b","resolution":{"observed_at":"2026-08-06T21:16:50.865832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.00659","last_updated":"2025-07-01T10:56:51Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:07:31.872908Z","submitted_at":"2025-07-01T10:56:51Z","title":"LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignment"},"reference_resolution":{"displayed":98,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":3,"verified_fuzzy":63},"total_outbound_references":98},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 2 inbound Pith citation observations for arXiv:2507.00659."}