{"as_of":"2026-08-15T16:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b22ec7f9bac5291e763b5d925e1d40aefb9ebb04948705930454c3455d7e3fd6","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:56:05.842585Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:54:33.682180Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T14:54:34.067914Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"cited_work":{"arxiv_id":"2412.14819","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.14819","snapshot_observed_at":"2026-08-11T14:54:34.067914Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","venue":"cs.CV","work_id":"eb79afab-fbc2-421c-a1e2-90156f5999a4","year":2024},"citing_paper":{"arxiv_id":"2412.11535","last_updated":"2025-04-02T11:36:58Z","snapshot_observed_at":"2026-08-15T06:21:54.898358Z","submitted_at":"2024-12-16T08:13:05Z","title":"Scale-adaptive UAV Geo-localization via Height-aware Partition Learning","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T14:54:33.682180Z"},"links":{"cited_paper":"/paper/2412.14819","citing_paper":"/paper/2412.11535"},"observation_digest":"sha256:91c74e8b0addcaa0c46909f24607452c0c50b3024adf8d3ed321f4890c94e921","observation_id":"f7022d41-b9a6-4dee-81bb-100926247258","resolution":{"observed_at":"2026-08-11T14:54:34.072550Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.14819/citation-record","integrity":"/paper/2412.14819/integrity","json":"/paper/2412.14819/citation-record.json","paper":"/paper/2412.14819"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:56:07.223502Z","title":"University-1652: A multi-view multi- source benchmark for drone-based geo-localization,","venue":null,"work_id":"1a72f806-8268-496e-8e71-91513ab83c35","year":2020},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.447204Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:3b1fba5c955dd1ff07ee86cf59180eb340db0edede046adec986afc56fc67fc3","observation_id":"1d52d9e6-6408-4216-8607-27f9aa0cc95b","resolution":{"observed_at":"2026-08-11T11:56:07.229470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.202725Z","title":"Accurate object localization in remote sensing images based on convolutional neural networks,","venue":null,"work_id":"548f6b11-b5e1-4c12-a974-5df96e0fa45c","year":2017},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.454551Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:c8cfc913a45eaa9959e668e836f2f3e9bac1b1070cb28bee00339efec3e47dbc","observation_id":"419936a2-0bd0-4771-a954-38eb47b598b4","resolution":{"observed_at":"2026-08-11T11:56:07.211070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.169464Z","title":"Investigating the role of image retrieval for visual localization,","venue":null,"work_id":"7679e068-c833-4656-9302-5de16804c1d5","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.462076Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:74f4aa187e4a14f52f2323b675dea08d154a232015dbab37ac0d44f13770305a","observation_id":"0038d073-f6ee-4153-a9c5-12b297762ada","resolution":{"observed_at":"2026-08-11T11:56:07.178140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.149950Z","title":"Cross-view geo- localization via learning disentangled geometric layout correspondence,","venue":null,"work_id":"a170de44-bb87-4657-b32e-8bd51f497bc8","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.468104Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:d5d5056c75e30069fc1379969de8716f46d800707a0c1561e813b863c2286c37","observation_id":"b811aaf6-433c-4ba9-a91c-74aba677014a","resolution":{"observed_at":"2026-08-11T11:56:07.155363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.131606Z","title":"Sample4Geo: Hard negative sampling for cross-view geo-localisation,","venue":null,"work_id":"df9623bd-030c-4f73-ae59-1a24c172b1fe","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.476451Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:51b729d39989b539f7455a0019bfeda5e9519e6c5177b50d534a4513ca144cfc","observation_id":"871255d5-ebc0-48cc-9219-de87ed04f67f","resolution":{"observed_at":"2026-08-11T11:56:07.137741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.102399Z","title":"GeoDTR+: Toward generic cross-view geolocalization via geometric disentangle- ment,","venue":null,"work_id":"1e00bf63-bd5e-412a-a7ba-7c9dce7c7d1d","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.482701Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:3cc6d465dc78b5df374b609df68fef81a68027512c3e5648fca032407485d184","observation_id":"f23ebc0e-1e8d-4828-ab45-bafa3f8d18ca","resolution":{"observed_at":"2026-08-11T11:56:07.109665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.079551Z","title":"Fdgnet: Frequency disentanglement and data geometry for domain generalization in cross- scene hyperspectral image classification,","venue":null,"work_id":"da30f3eb-c70c-4ac5-b1c9-102f2cd48bce","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.489760Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:ff83ec46e5722fc41aab6d9432e4a7f777b1bdf8757e17c1ba110a84f04b0fa3","observation_id":"bd9eb2e4-ee56-46c4-acc9-7d243869f24f","resolution":{"observed_at":"2026-08-11T11:56:07.084962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.061928Z","title":"Cross-domain few-shot learning based on feature disentanglement for hyperspectral image classification,","venue":null,"work_id":"ac0584da-6db2-45fa-bb57-f09a1936a040","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.496356Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:c79f0c2d08345def63fe46dd781140d88c48266061280a7bf06995279c3e6b30","observation_id":"007f0c71-03d7-4bb2-9b53-e9f8eebf8386","resolution":{"observed_at":"2026-08-11T11:56:07.068099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.033648Z","title":"Cross- domain few-shot learning based on decoupled knowledge distillation for hyperspectral image classification,","venue":null,"work_id":"a227766f-51e2-4aac-818f-c4573bd21399","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.503640Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:6f4218d68ccdca8815a78fdc288150af9fbdf65e4b21cdc2fde9053493062498","observation_id":"3bb25eb1-6c97-4ac0-816e-25a49a94727d","resolution":{"observed_at":"2026-08-11T11:56:07.045878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:07.006630Z","title":"MCCG: A convnext- based multiple-classifier method for cross-view geo-localization,","venue":null,"work_id":"f33ce69b-682f-401e-bf42-55b1cb34561b","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.511762Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:4ddcaf9212f83cb37cb7f739f6ed2d4a85a1bc74b3f9f0d61d3c9a9de668dadd","observation_id":"c4c96fe7-c8f0-49d1-8bb4-1265b16a87f4","resolution":{"observed_at":"2026-08-11T11:56:07.016113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.979672Z","title":"Multibranch joint representation learning based on information fusion strategy for cross-view geo-localization,","venue":null,"work_id":"833f31d2-e5b1-4771-9707-b68c4938b7a8","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.517841Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:ffc8626d3d1414cbcc1a2c5f2eaa403c8e70f3462451ce7914c019f215dd1793","observation_id":"55208454-5bcd-4cb3-86d6-e8c3260cc811","resolution":{"observed_at":"2026-08-11T11:56:06.987910Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.956421Z","title":"SDPL: Shifting-dense partition learning for UA V-view geo- localization,","venue":null,"work_id":"dc30dc1c-27c1-4573-ac4a-131762398bc0","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.524462Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:c324b8b5d990a7774033cdf79192527395854d8044d9968677db64880cb88aaa","observation_id":"ef60092d-1a97-4c1c-a927-be1c6a2e2e19","resolution":{"observed_at":"2026-08-11T11:56:06.963946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.928858Z","title":"TransFG: A cross- view geo-localization of satellite and UA Vs imagery pipeline using transformer-based feature aggregation and gradient guidance,","venue":null,"work_id":"e56d6ae1-bfa2-458a-9dc7-1b53eee29014","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.532547Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:3e90e9c7a9de1d195b7965fb9c5ef22a41b6d9702abb62172ccfbff18f8a7f1a","observation_id":"71152062-4bd5-46b5-abab-c187ef6296f1","resolution":{"observed_at":"2026-08-11T11:56:06.940715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.893094Z","title":"A practical cross-view image matching method between UA V and satellite for UA V-based geo- localization,","venue":null,"work_id":"91065012-ea16-4af7-8e67-bf14f2f4c5df","year":2020},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.549234Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:84f9ef7c466aaf1dd762c12d57b6fc7a0c4f8f5ef6ade05575cfc9d437107638","observation_id":"8bc157a5-5779-44eb-9e09-359679714f48","resolution":{"observed_at":"2026-08-11T11:56:06.900071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.868721Z","title":"Joint representation learning and keypoint detection for cross-view geo-localization,","venue":null,"work_id":"0e26954c-66ab-49e1-857d-d0945bac12f8","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.554734Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:b02a0f6fdedb295dd618abd0f5f5492ba1ff7344b73ed394f5fe7c44d42cfb03","observation_id":"dfd41861-1c40-4f07-aa90-7d37d0ef7012","resolution":{"observed_at":"2026-08-11T11:56:06.876409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:05.561418Z","title":"Each part matters: Local patterns facilitate cross-view geo-localization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.561418Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:aaa2c50f025e08717ae8e5792a3f6d40a065a3614a1d86381d357be95cbd8c8c","observation_id":"80db3b9b-d260-45bd-a1ad-81c28c26c473","resolution":{"observed_at":"2026-08-11T11:56:05.561418Z","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":"2026-08-11T11:56:06.830654Z","title":"Beyond geo-localization: Fine-grained orientation of street-view images by cross-view matching with satellite imagery,","venue":null,"work_id":"2c086759-35e6-4704-8aaa-43ba328fc39b","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.568232Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:d85912e65f8671c9e9cacb56c63c331e8cfe906e27b81583af66e58741d62214","observation_id":"aae3067f-7ffb-48e3-9ed3-feba649b7875","resolution":{"observed_at":"2026-08-11T11:56:06.837657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:05.574651Z","title":"Cross-view geo-localization with layer-to- layer transformer,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.574651Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:d6c0a60057eb50b52667525b155f591a34f24dab26171e928d448191665fff31","observation_id":"dc918032-25fe-4873-8b54-bdfc11c1872a","resolution":{"observed_at":"2026-08-11T11:56:05.574651Z","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":"2026-08-11T11:56:06.795797Z","title":"TransGeo: Transformer is all you need for cross-view image geo-localization,","venue":null,"work_id":"100490ab-e7ee-4198-bd4d-163d2170c7cb","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.583912Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:ab2a1de739cf5241c0caf26251960e2e7a3c583121c81d0a7f24a98e79b2e64d","observation_id":"c6831af4-3262-4005-8305-28ad95e55041","resolution":{"observed_at":"2026-08-11T11:56:06.804495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.776260Z","title":"Multilevel feedback joint representation learning network based on adaptive area elimination for cross-view geo-localization,","venue":null,"work_id":"094a10be-7dc6-4ec9-9db3-7ca0ec6f4aeb","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.593151Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:1c6d4942de6b01949460e1bb8103ac517d5343061f38c80ce9af1d63253377c3","observation_id":"9db85df6-a6b1-4e0b-8cab-68e606a8f6d2","resolution":{"observed_at":"2026-08-11T11:56:06.782641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.756084Z","title":"A survey on the convergence of edge computing and AI for UA Vs: Opportunities and challenges,","venue":null,"work_id":"e067b65a-8907-4516-a188-83854634a925","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.601140Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:a6868bb28128b5835e0b919e0112bdd85953a8754b99386a67f9821bc97c09b7","observation_id":"9010376e-4e3f-4056-80d6-aef75a1f0a76","resolution":{"observed_at":"2026-08-11T11:56:06.763016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.736753Z","title":"Enhancing cross-view geo-localization with domain alignment and scene consistency,","venue":null,"work_id":"1cbe06c7-f270-4ad6-8fbf-679f2205bf1f","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.608247Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:9dd16ce6984aa810727731f94430685c4b349fa34db579fe75990eb422b617a4","observation_id":"eb627c16-a5e5-496e-9695-b7db95b1d4d5","resolution":{"observed_at":"2026-08-11T11:56:06.743398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.717064Z","title":"Optimal feature transport for cross-view image geo-localization,","venue":null,"work_id":"9a057c67-886f-4f24-9599-b51a4f2a23e5","year":2020},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.614191Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:dec58e6139358a00fdde8771a26d9267737143a120982282fb1bcfd8d8848da2","observation_id":"f61e70dd-300f-40ff-9dae-61ed581fd1c4","resolution":{"observed_at":"2026-08-11T11:56:06.722885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.689817Z","title":"F3-Net: Multiview scene matching for drone-based geo-localization,","venue":null,"work_id":"3d0c4199-3d93-4f7b-957d-d176c81423d9","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.625651Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:8331f764679959fa02c2f85dbc6426e5dfbf4106ab83cf8bb3d4525a83826411","observation_id":"bfe22578-1feb-47dc-9fe8-6b39f5122457","resolution":{"observed_at":"2026-08-11T11:56:06.697905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.666844Z","title":"A transformer-based fea- ture segmentation and region alignment method for UA V-view geo- localization,","venue":null,"work_id":"5138267a-bc0e-4368-be60-4379495adc30","year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.633694Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:d73a8e9636e9f18a1af5efe4733953002df692fa475c9a2ddfff9f00abb0c999","observation_id":"d07a0b7f-4688-4138-85c3-68a6ab09189e","resolution":{"observed_at":"2026-08-11T11:56:06.673351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.646391Z","title":"UA V-satellite view syn- thesis for cross-view geo-localization,","venue":null,"work_id":"4caec174-9927-4d79-8b47-366f8d1a3835","year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.642622Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:209743006a0ab6c6314b13d4265818622ca7d379956adbb27ea5069f2c315feb","observation_id":"a324cafb-277d-47cf-83d3-fe62d8abe212","resolution":{"observed_at":"2026-08-11T11:56:06.653249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.627449Z","title":"Lending orientation to neural networks for cross- view geo-localization,","venue":null,"work_id":"4e57e1fd-4a88-4613-a3dc-025bc9a41dca","year":2019},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.648396Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:8b94fb810644532cbcf215d3370deff757041b97d564558575d2ecce4acb054a","observation_id":"bcfc7239-5d93-4cb9-93f4-0166e82127a3","resolution":{"observed_at":"2026-08-11T11:56:06.633384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.597510Z","title":"Cross-modality image matching network with modality-invariant feature representation for airborne-ground thermal infrared and visible datasets,","venue":null,"work_id":"edb302a4-2124-400a-8f41-792acb54ba5b","year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.657141Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:77a65d43d3cd1317f1713744f83b9c3ab22c4b609843f2a4c593b0d80b822bcd","observation_id":"9aebb2b8-588e-4e38-bce4-5375d03e4a13","resolution":{"observed_at":"2026-08-11T11:56:06.604702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.568708Z","title":"A convnet for the 2020s,","venue":null,"work_id":"1cba12fd-e3c1-4370-9bd2-782b6280374e","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.664195Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:43ff224fb60c07b57f42533be52f29c4a1ac81feb82e4274235c4b19c6ab9de2","observation_id":"67b0966f-7198-4206-8f6d-3e2e6d72b938","resolution":{"observed_at":"2026-08-11T11:56:06.577643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.540935Z","title":"Cross-view image geolocalization,","venue":null,"work_id":"e8983637-ef3a-478d-87ee-421055ddc552","year":2013},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.671786Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:02dd06f1602a11fe0a8a189b8d117c7a29a32823eb7813c5f6edadca639b0938","observation_id":"08dbb3cc-065c-46e7-8fb4-283d6cc7ef51","resolution":{"observed_at":"2026-08-11T11:56:06.549009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.515624Z","title":"A framework for global vehicle localization using stereo images and satellite and road maps,","venue":null,"work_id":"ea6bb7f7-a44b-4ba5-9b48-935bfb0e0338","year":2011},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.681887Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:b7a45368949addf0bb918d8313801493876f7c980a1b61f0810c0e8bcb225315","observation_id":"14227ecd-6d83-4e2d-a988-7d6fea37cf5e","resolution":{"observed_at":"2026-08-11T11:56:06.523302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.487273Z","title":"Ground-to-aerial image geo-localization with a hard exemplar reweighting triplet loss,","venue":null,"work_id":"51fa1ab3-b932-4d95-9f5e-1bca7d064826","year":2019},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.691483Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:32bec5e7292ae6bb409d9156070ccb0d82219b55263f9a7aefdf36dd0761ce81","observation_id":"b03e4869-7706-40f3-a375-ef11c18df43e","resolution":{"observed_at":"2026-08-11T11:56:06.496304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.457514Z","title":"Where am i looking at? joint location and orientation estimation by cross-view matching,","venue":null,"work_id":"a58cc4ab-4282-40d1-8de2-a556259a93d3","year":2020},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.697674Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:a056f4be2a14911e79c24491b18e04fce5bc5bfaca8df3e93dfc3febc8be1035","observation_id":"6d0e9160-7a71-413c-b6b6-363e26493b47","resolution":{"observed_at":"2026-08-11T11:56:06.465160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.435854Z","title":"Coming down to earth: Satellite-to-street view synthesis for geo-localization,","venue":null,"work_id":"7c4a0b27-aae7-45bd-a76f-5b253fff01f1","year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.704310Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:ef7229085bae0fd9b18c8ba041fc15d9b1ff851e6987f11e2c6733be1cef428b","observation_id":"9354fb30-ee2f-4eb5-bfe4-b91fea920393","resolution":{"observed_at":"2026-08-11T11:56:06.443166Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.415003Z","title":"Sat2density: Faithful density learning from satellite-ground image pairs,","venue":null,"work_id":"69d43904-5619-49ce-93a1-7e7df345ca98","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.717248Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:e7707e8f87f934522966e7eeea1c233810c9bc90798377db3dd92b67d8c4c8b3","observation_id":"78253735-deca-45ec-a0d9-0dfe66030cd3","resolution":{"observed_at":"2026-08-11T11:56:06.422750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.391410Z","title":"Predicting ground- level scene layout from aerial imagery,","venue":null,"work_id":"1be88816-4496-40c6-83e1-5434de7b9802","year":2017},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.733548Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:a7356b166bca630711266bcf90659c1877c66a21e3c5facd5b9470726bfe2f9b","observation_id":"ec70f0e2-0ce3-429a-99ca-6310ded35d4c","resolution":{"observed_at":"2026-08-11T11:56:06.397187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.360051Z","title":"Lending orientation to neural networks for cross- view geo-localization,","venue":null,"work_id":"ef003683-7b58-475e-b18b-cccd61d6b822","year":2019},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.741938Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:881e76069d8525c45e5456fc9f25d2e7fc9e49a828804f3662b514490f04111f","observation_id":"159e76a1-66a4-4db9-8e09-1605726fb8e4","resolution":{"observed_at":"2026-08-11T11:56:06.366977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.330216Z","title":"On the location dependence of convolu- tional neural network features,","venue":null,"work_id":"94c16949-8b08-4851-88eb-42a56561ab14","year":2015},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.749083Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:60b0264f85049de8f69a4495d67f690c75ba45e8470936ed354b66b5abfeec2e","observation_id":"2710fc00-a075-4738-9269-9caa1a6798f5","resolution":{"observed_at":"2026-08-11T11:56:06.341776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.300363Z","title":"Netvlad: Cnn architecture for weakly supervised place recognition,","venue":null,"work_id":"1a81d8b5-6214-4bd7-ba95-fbee69262957","year":2016},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.756437Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:2f569831f93ff9fb0d5fa2c9602bd6c3c3cc4329f2a70d9bcc4da1787980b916","observation_id":"cba90642-7de0-490f-81ce-98ccc9b5d4ed","resolution":{"observed_at":"2026-08-11T11:56:06.309661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:05.762767Z","title":"Multiple- environment self-adaptive network for aerial-view geo-localization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.762767Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:639efc6339ed09a32c46e215ce967eaec4cf063d028e4b627ebd16ac733707a8","observation_id":"6dce5ca6-f4b4-49dd-ad4b-1b9a3d84a777","resolution":{"observed_at":"2026-08-11T11:56:05.762767Z","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":"2026-08-11T11:56:06.245155Z","title":"SUES-200: A multi-height multi-scene cross-view image benchmark across drone and satellite,","venue":null,"work_id":"e6bda595-499b-44c8-bb03-35ff1b67c740","year":2023},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.768579Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:adec0adcde82999c6563db1f95de9a6089a209d5acfe0259e9988ee3742235c0","observation_id":"b75d6729-56c5-46c8-9aee-050b47e42220","resolution":{"observed_at":"2026-08-11T11:56:06.261192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.214660Z","title":"Direction-guided multi-scale feature fusion network for geo- localization,","venue":null,"work_id":"5168dc7a-3850-4fb6-af87-a4b2d5c3ca4e","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.773949Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:0b59e0364c0d052cf3ec03ae277ca8b6642226903e3e00b9494b18bd259f33dc","observation_id":"7fb40b12-d338-4d47-be11-f3ae25940b8a","resolution":{"observed_at":"2026-08-11T11:56:06.223796Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.178702Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":"dba9f7dc-6f3a-4a6a-9f2b-3a1075680914","year":2021},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.784010Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:f9eb51046c56bf1f8dfa88c799cf1013ff57d122cbdf24a8de50be01f5da2598","observation_id":"4e23f433-57e7-4f5c-bb2d-32a13c9fcc10","resolution":{"observed_at":"2026-08-11T11:56:06.184938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.148994Z","title":"CCR: A counterfactual causal reasoning- based method for cross-view geo-localization,","venue":null,"work_id":"c0b57a34-6013-4b91-9056-ac25ec9f0fef","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.791697Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:e66daa120a03683a970ed49ac1aef4390079f574f01f191b2d02f20ceed92ffe","observation_id":"ddde0b5d-e79f-462f-8caa-32b17189f4cb","resolution":{"observed_at":"2026-08-11T11:56:06.158355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.101117Z","title":"CAMP: Across-view geo-localization method using contrastive attributes mining and position-aware partitioning,","venue":null,"work_id":"4ec6d39a-e53a-49ba-900f-1e7029b7da57","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.802398Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:f070ddb0841c2c16f9cd7456fbf9ecc889abacf6ece5f6e098a5afc61527c433","observation_id":"e8147a2b-1503-4abd-9f4d-64c0b5e434bc","resolution":{"observed_at":"2026-08-11T11:56:06.109106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.066651Z","title":"Accurate 3-DoF camera geo-localization via ground-to-satellite image match- ing,","venue":null,"work_id":"73cef6eb-cd52-43ea-8199-310239d57757","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.813947Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:487b5799741fccdc696d18caed68276fee1c10724821a0a215f9ae4965c95797","observation_id":"8867f91f-85f0-4668-8bc5-e2b72a536330","resolution":{"observed_at":"2026-08-11T11:56:06.080484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:06.031472Z","title":"SMDT: Cross- view geo-localization with image alignment and transformer,","venue":null,"work_id":"9cc1e59c-ee2e-4b11-b7f2-f7d2f62c0a06","year":2022},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.821164Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:41d56b7595bd341915bb80510b1461d6210482f598ef9ea619d3d3ef0407dedd","observation_id":"dcc46015-c5cc-4833-8eaa-4909f401721f","resolution":{"observed_at":"2026-08-11T11:56:06.045881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T11:56:05.998864Z","title":"Aligning geometric spatial layout in cross- view geo-localization via feature recombination,","venue":null,"work_id":"c7abb3aa-c3d9-4e19-a9d2-7b6dc182a276","year":2024},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.828731Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:33984918976464b8e4c88a5ffaf9f30bd3bb51cb8446f22dc441dbf3cb6bd9fc","observation_id":"1c184521-a8d1-4a57-a377-a543246759f9","resolution":{"observed_at":"2026-08-11T11:56:06.007036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-11T11:56:05.835468Z","title":"Representation learning with contrastive predictive coding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.835468Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:09ededdc7bfa83667a5d9d826c1d08f79628f7832afbefe38268fbedfb43def9","observation_id":"a3364685-ca5f-4d43-b965-eb0ab7c4bff6","resolution":{"observed_at":"2026-08-11T11:56:05.835468Z","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":"2026-08-11T11:56:05.965922Z","title":"Visualizing data using t-SNE","venue":null,"work_id":"4ed89653-022f-44d8-ae48-c7dec9aa71fb","year":2008},"citing_paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T11:56:05.842585Z"},"links":{"citing_paper":"/paper/2412.14819"},"observation_digest":"sha256:3e6420364f2a6c270806d99eb797a5fbfd168faf7b733c785f31d35abd9a107d","observation_id":"53adfd63-23d1-492d-8b8a-a3b44a9ddc9f","resolution":{"observed_at":"2026-08-11T11:56:05.975218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.14819","last_updated":"2025-05-24T08:10:38Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T08:45:09.217805Z","submitted_at":"2024-12-19T13:10:38Z","title":"Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":46},"total_outbound_references":50},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2412.14819."}