{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KC2WW63XGUCIEU5CQO22CSTNIF","short_pith_number":"pith:KC2WW63X","schema_version":"1.0","canonical_sha256":"50b56b7b7735048253a283b5a14a6d4170c0d8899403145b17838e8382e07a2a","source":{"kind":"arxiv","id":"2310.08082","version":1},"attestation_state":"computed","paper":{"title":"Jointly Optimized Global-Local Visual Localization of UAVs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoling Li, Jiuniu Wang, Wenjia Xu, Zhiwei Wei","submitted_at":"2023-10-12T07:12:20Z","abstract_excerpt":"Navigation and localization of UAVs present a challenge when global navigation satellite systems (GNSS) are disrupted and unreliable. Traditional techniques, such as simultaneous localization and mapping (SLAM) and visual odometry (VO), exhibit certain limitations in furnishing absolute coordinates and mitigating error accumulation. Existing visual localization methods achieve autonomous visual localization without error accumulation by matching with ortho satellite images. However, doing so cannot guarantee real-time performance due to the complex matching process. To address these challenges"},"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":"2310.08082","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T07:12:20Z","cross_cats_sorted":[],"title_canon_sha256":"8caf9882b0cfde90f66ed01985364bf2bdc40e0def0599fe5526fd7fffc6d790","abstract_canon_sha256":"751fa88e60d9ebeb6108217a482a4a7c740caf43c6906a9f68b18e203eaf59c7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:00.718833Z","signature_b64":"+rfG6huEaUoynQpEwpEhyoVwVma+HFnRM2A5qKWjs7fUiJVca4DGWkZk+bCBoOO/Tl59znv0xZKKgT/0Q88bDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50b56b7b7735048253a283b5a14a6d4170c0d8899403145b17838e8382e07a2a","last_reissued_at":"2026-07-05T07:00:00.718350Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:00.718350Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Jointly Optimized Global-Local Visual Localization of UAVs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoling Li, Jiuniu Wang, Wenjia Xu, Zhiwei Wei","submitted_at":"2023-10-12T07:12:20Z","abstract_excerpt":"Navigation and localization of UAVs present a challenge when global navigation satellite systems (GNSS) are disrupted and unreliable. Traditional techniques, such as simultaneous localization and mapping (SLAM) and visual odometry (VO), exhibit certain limitations in furnishing absolute coordinates and mitigating error accumulation. Existing visual localization methods achieve autonomous visual localization without error accumulation by matching with ortho satellite images. However, doing so cannot guarantee real-time performance due to the complex matching process. To address these challenges"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08082","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/2310.08082/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":"2310.08082","created_at":"2026-07-05T07:00:00.718413+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.08082v1","created_at":"2026-07-05T07:00:00.718413+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08082","created_at":"2026-07-05T07:00:00.718413+00:00"},{"alias_kind":"pith_short_12","alias_value":"KC2WW63XGUCI","created_at":"2026-07-05T07:00:00.718413+00:00"},{"alias_kind":"pith_short_16","alias_value":"KC2WW63XGUCIEU5C","created_at":"2026-07-05T07:00:00.718413+00:00"},{"alias_kind":"pith_short_8","alias_value":"KC2WW63X","created_at":"2026-07-05T07:00:00.718413+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2603.22153","citing_title":"Beyond Matching to Tiles: Bridging Unaligned Aerial and Satellite Views for Vision-Only UAV Navigation","ref_index":20,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF","json":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF.json","graph_json":"https://pith.science/api/pith-number/KC2WW63XGUCIEU5CQO22CSTNIF/graph.json","events_json":"https://pith.science/api/pith-number/KC2WW63XGUCIEU5CQO22CSTNIF/events.json","paper":"https://pith.science/paper/KC2WW63X"},"agent_actions":{"view_html":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF","download_json":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF.json","view_paper":"https://pith.science/paper/KC2WW63X","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.08082&json=true","fetch_graph":"https://pith.science/api/pith-number/KC2WW63XGUCIEU5CQO22CSTNIF/graph.json","fetch_events":"https://pith.science/api/pith-number/KC2WW63XGUCIEU5CQO22CSTNIF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF/action/storage_attestation","attest_author":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF/action/author_attestation","sign_citation":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF/action/citation_signature","submit_replication":"https://pith.science/pith/KC2WW63XGUCIEU5CQO22CSTNIF/action/replication_record"}},"created_at":"2026-07-05T07:00:00.718413+00:00","updated_at":"2026-07-05T07:00:00.718413+00:00"}