{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:LTUWXUCD7G2ZWJAFH3UIDVYINO","short_pith_number":"pith:LTUWXUCD","schema_version":"1.0","canonical_sha256":"5ce96bd043f9b59b24053ee881d7086bb4dc37a2bb12af97e60213fe8df8bea1","source":{"kind":"arxiv","id":"2405.11936","version":1},"attestation_state":"computed","paper":{"title":"UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chunbo Liu, Jiaqi Cao, Jiuniu Wang, Mugen Peng, Wenjia Xu, Yaxuan Yao, Zhiwei Wei","submitted_at":"2024-05-20T10:24:10Z","abstract_excerpt":"The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when the global navigation satellite systems (GNSS) are disrupted and unreliable. Existing visual localization methods achieve autonomous visual localization without error accumulation by matching the ground-down view image of UAV with the ortho satellite maps. However, collecting UAV ground-down view images across diverse locations is costly, leading to a scarcity of large-scale datasets for real-world scenarios. Existing"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2405.11936","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-20T10:24:10Z","cross_cats_sorted":[],"title_canon_sha256":"d0d8dcc4c868879d8c9f955eea24cab2b43fb507cb27e4695a3002e08ab951d2","abstract_canon_sha256":"df917dde1c1b7d9d8b9cd5bccacda5e72f1f11dda902df15e6d8cf09ec445ed6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:58.193716Z","signature_b64":"4DLJGHGXNiobPiao0MSf2JKvOQCrnf0WQcJjhyQ3u9i5E6JK+MqObnmcdlNS2O+F1gupwKaTTQxZVH7Ql4odCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ce96bd043f9b59b24053ee881d7086bb4dc37a2bb12af97e60213fe8df8bea1","last_reissued_at":"2026-07-05T08:20:58.193177Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:58.193177Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chunbo Liu, Jiaqi Cao, Jiuniu Wang, Mugen Peng, Wenjia Xu, Yaxuan Yao, Zhiwei Wei","submitted_at":"2024-05-20T10:24:10Z","abstract_excerpt":"The application of unmanned aerial vehicles (UAV) has been widely extended recently. It is crucial to ensure accurate latitude and longitude coordinates for UAVs, especially when the global navigation satellite systems (GNSS) are disrupted and unreliable. Existing visual localization methods achieve autonomous visual localization without error accumulation by matching the ground-down view image of UAV with the ortho satellite maps. However, collecting UAV ground-down view images across diverse locations is costly, leading to a scarcity of large-scale datasets for real-world scenarios. Existing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11936","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.11936/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2405.11936","created_at":"2026-07-05T08:20:58.193243+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.11936v1","created_at":"2026-07-05T08:20:58.193243+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11936","created_at":"2026-07-05T08:20:58.193243+00:00"},{"alias_kind":"pith_short_12","alias_value":"LTUWXUCD7G2Z","created_at":"2026-07-05T08:20:58.193243+00:00"},{"alias_kind":"pith_short_16","alias_value":"LTUWXUCD7G2ZWJAF","created_at":"2026-07-05T08:20:58.193243+00:00"},{"alias_kind":"pith_short_8","alias_value":"LTUWXUCD","created_at":"2026-07-05T08:20:58.193243+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":7,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.25245","citing_title":"OrthoTrack: Continuous 6-DoF UAV Trajectory Estimation Anchored in Public Orthophotos","ref_index":52,"is_internal_anchor":false},{"citing_arxiv_id":"2606.02482","citing_title":"X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding","ref_index":54,"is_internal_anchor":false},{"citing_arxiv_id":"2606.02482","citing_title":"X-Stream: Exploring MLLMs as Multiplexers for Multi-Stream Understanding","ref_index":57,"is_internal_anchor":false},{"citing_arxiv_id":"2606.25245","citing_title":"OrthoTrack: Continuous 6-DoF UAV Trajectory Estimation Anchored in Public Orthophotos","ref_index":52,"is_internal_anchor":false},{"citing_arxiv_id":"2503.10692","citing_title":"Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark","ref_index":48,"is_internal_anchor":false},{"citing_arxiv_id":"2604.03120","citing_title":"SCC-Loc: A Unified Semantic Cascade Consensus Framework for UAV Thermal Geo-Localization","ref_index":14,"is_internal_anchor":false},{"citing_arxiv_id":"2605.07978","citing_title":"Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images","ref_index":51,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO","json":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO.json","graph_json":"https://pith.science/api/pith-number/LTUWXUCD7G2ZWJAFH3UIDVYINO/graph.json","events_json":"https://pith.science/api/pith-number/LTUWXUCD7G2ZWJAFH3UIDVYINO/events.json","paper":"https://pith.science/paper/LTUWXUCD"},"agent_actions":{"view_html":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO","download_json":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO.json","view_paper":"https://pith.science/paper/LTUWXUCD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.11936&json=true","fetch_graph":"https://pith.science/api/pith-number/LTUWXUCD7G2ZWJAFH3UIDVYINO/graph.json","fetch_events":"https://pith.science/api/pith-number/LTUWXUCD7G2ZWJAFH3UIDVYINO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO/action/storage_attestation","attest_author":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO/action/author_attestation","sign_citation":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO/action/citation_signature","submit_replication":"https://pith.science/pith/LTUWXUCD7G2ZWJAFH3UIDVYINO/action/replication_record"}},"created_at":"2026-07-05T08:20:58.193243+00:00","updated_at":"2026-07-05T08:20:58.193243+00:00"}