{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:72IVPX6EOFC35AEC2USDCMCCIU","short_pith_number":"pith:72IVPX6E","schema_version":"1.0","canonical_sha256":"fe9157dfc47145be8082d52431304245225b973969265dd2ddb957b4690c3cee","source":{"kind":"arxiv","id":"2401.07256","version":1},"attestation_state":"computed","paper":{"title":"Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Jiafan He, Lianming Xu, Li Wang, Luyang Hou, Wendi Zhu, Zhihao Zhu","submitted_at":"2024-01-14T11:20:20Z","abstract_excerpt":"In emergency search and rescue scenarios, the quick location of trapped people is essential. However, disasters can render the Global Positioning System (GPS) unusable. Unmanned aerial vehicles (UAVs) with localization devices can serve as mobile anchors due to their agility and high line-of-sight (LoS) probability. Nonetheless, the number of available UAVs during the initial stages of disaster relief is limited, and innovative methods are needed to quickly plan UAV trajectories to locate non-uniformly distributed dynamic targets while ensuring localization accuracy. To address this challenge,"},"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":"2401.07256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-01-14T11:20:20Z","cross_cats_sorted":[],"title_canon_sha256":"4e55204208cb45e4e9332423fa0613a3d202ff115cd7d483e1a412f58b422ee0","abstract_canon_sha256":"fb9c52eccd8e11904ba8560aca971c67ee4c963479daefc7e1101c3acf9209e6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:33:34.444760Z","signature_b64":"NQwiDJ9KmbKuHSnaFnnOGXvI/3imYfDXJdK1BwQhqrpEnm/iRJJxrdIllqvqiqiA6v/GMJKg/0VfmodDAiENAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe9157dfc47145be8082d52431304245225b973969265dd2ddb957b4690c3cee","last_reissued_at":"2026-07-05T07:33:34.444406Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:33:34.444406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Emergency Localization for Mobile Ground Users: An Adaptive UAV Trajectory Planning Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.MA","authors_text":"Jiafan He, Lianming Xu, Li Wang, Luyang Hou, Wendi Zhu, Zhihao Zhu","submitted_at":"2024-01-14T11:20:20Z","abstract_excerpt":"In emergency search and rescue scenarios, the quick location of trapped people is essential. However, disasters can render the Global Positioning System (GPS) unusable. Unmanned aerial vehicles (UAVs) with localization devices can serve as mobile anchors due to their agility and high line-of-sight (LoS) probability. Nonetheless, the number of available UAVs during the initial stages of disaster relief is limited, and innovative methods are needed to quickly plan UAV trajectories to locate non-uniformly distributed dynamic targets while ensuring localization accuracy. To address this challenge,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.07256","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/2401.07256/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":"2401.07256","created_at":"2026-07-05T07:33:34.444466+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.07256v1","created_at":"2026-07-05T07:33:34.444466+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.07256","created_at":"2026-07-05T07:33:34.444466+00:00"},{"alias_kind":"pith_short_12","alias_value":"72IVPX6EOFC3","created_at":"2026-07-05T07:33:34.444466+00:00"},{"alias_kind":"pith_short_16","alias_value":"72IVPX6EOFC35AEC","created_at":"2026-07-05T07:33:34.444466+00:00"},{"alias_kind":"pith_short_8","alias_value":"72IVPX6E","created_at":"2026-07-05T07:33:34.444466+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU","json":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU.json","graph_json":"https://pith.science/api/pith-number/72IVPX6EOFC35AEC2USDCMCCIU/graph.json","events_json":"https://pith.science/api/pith-number/72IVPX6EOFC35AEC2USDCMCCIU/events.json","paper":"https://pith.science/paper/72IVPX6E"},"agent_actions":{"view_html":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU","download_json":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU.json","view_paper":"https://pith.science/paper/72IVPX6E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.07256&json=true","fetch_graph":"https://pith.science/api/pith-number/72IVPX6EOFC35AEC2USDCMCCIU/graph.json","fetch_events":"https://pith.science/api/pith-number/72IVPX6EOFC35AEC2USDCMCCIU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU/action/storage_attestation","attest_author":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU/action/author_attestation","sign_citation":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU/action/citation_signature","submit_replication":"https://pith.science/pith/72IVPX6EOFC35AEC2USDCMCCIU/action/replication_record"}},"created_at":"2026-07-05T07:33:34.444466+00:00","updated_at":"2026-07-05T07:33:34.444466+00:00"}