{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:H2OWAHVZULRC4N7PROXVJA4YU6","short_pith_number":"pith:H2OWAHVZ","schema_version":"1.0","canonical_sha256":"3e9d601eb9a2e22e37ef8baf548398a78e69dd3477dfad70cbd9aeceb1c011d3","source":{"kind":"arxiv","id":"2204.04666","version":2},"attestation_state":"computed","paper":{"title":"Energy-Sensitive Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Dongbin Jiao, Fengyuan Ren, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang","submitted_at":"2022-04-10T11:52:18Z","abstract_excerpt":"Grassland restoration is a critical means to safeguard grassland ecological degradation. To alleviate the extensive human labors and boost the restoration efficiency, UAV is promising for its fully automatic capability yet still waits to be exploited. This paper progresses this emerging technology by explicitly considering the realistic constraints of the UAV and the grassland degradation while planning the grassland restoration. To this end, the UAV-enabled restoration process is first mathematically modeled as the maximization of restoration areas of the UAV under the limited battery energy "},"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":"2204.04666","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2022-04-10T11:52:18Z","cross_cats_sorted":[],"title_canon_sha256":"5fedb86b0350f3992782d7837d952ee422f09049b2b2c4a4a1969c214d428644","abstract_canon_sha256":"7d3ca1f0295cf46f904da537b29f9cf895d12e7a588ae7aa751df97fc5ede898"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:35.274968Z","signature_b64":"2r1MUytNhOLRg/RWXhAaAUZpWEsMJ5P2BF3R31aqWiiUV53Y6JaR0H7arIgNcXMIAumndfYqnhNFY98dbrtOBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e9d601eb9a2e22e37ef8baf548398a78e69dd3477dfad70cbd9aeceb1c011d3","last_reissued_at":"2026-07-05T04:42:35.274524Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:35.274524Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Energy-Sensitive Trajectory Design and Restoration Areas Allocation for UAV-Enabled Grassland Restoration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.NE","authors_text":"Dongbin Jiao, Fengyuan Ren, Lingyu Wang, Peng Yang, Weibo Yang, Yu Peng, Zhanhuan Shang","submitted_at":"2022-04-10T11:52:18Z","abstract_excerpt":"Grassland restoration is a critical means to safeguard grassland ecological degradation. To alleviate the extensive human labors and boost the restoration efficiency, UAV is promising for its fully automatic capability yet still waits to be exploited. This paper progresses this emerging technology by explicitly considering the realistic constraints of the UAV and the grassland degradation while planning the grassland restoration. To this end, the UAV-enabled restoration process is first mathematically modeled as the maximization of restoration areas of the UAV under the limited battery energy "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.04666","kind":"arxiv","version":2},"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/2204.04666/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":"2204.04666","created_at":"2026-07-05T04:42:35.274583+00:00"},{"alias_kind":"arxiv_version","alias_value":"2204.04666v2","created_at":"2026-07-05T04:42:35.274583+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.04666","created_at":"2026-07-05T04:42:35.274583+00:00"},{"alias_kind":"pith_short_12","alias_value":"H2OWAHVZULRC","created_at":"2026-07-05T04:42:35.274583+00:00"},{"alias_kind":"pith_short_16","alias_value":"H2OWAHVZULRC4N7P","created_at":"2026-07-05T04:42:35.274583+00:00"},{"alias_kind":"pith_short_8","alias_value":"H2OWAHVZ","created_at":"2026-07-05T04:42:35.274583+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/H2OWAHVZULRC4N7PROXVJA4YU6","json":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6.json","graph_json":"https://pith.science/api/pith-number/H2OWAHVZULRC4N7PROXVJA4YU6/graph.json","events_json":"https://pith.science/api/pith-number/H2OWAHVZULRC4N7PROXVJA4YU6/events.json","paper":"https://pith.science/paper/H2OWAHVZ"},"agent_actions":{"view_html":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6","download_json":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6.json","view_paper":"https://pith.science/paper/H2OWAHVZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2204.04666&json=true","fetch_graph":"https://pith.science/api/pith-number/H2OWAHVZULRC4N7PROXVJA4YU6/graph.json","fetch_events":"https://pith.science/api/pith-number/H2OWAHVZULRC4N7PROXVJA4YU6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6/action/storage_attestation","attest_author":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6/action/author_attestation","sign_citation":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6/action/citation_signature","submit_replication":"https://pith.science/pith/H2OWAHVZULRC4N7PROXVJA4YU6/action/replication_record"}},"created_at":"2026-07-05T04:42:35.274583+00:00","updated_at":"2026-07-05T04:42:35.274583+00:00"}