{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:G7MPMXXCCHMJHZYL6QWDQYXKD5","short_pith_number":"pith:G7MPMXXC","schema_version":"1.0","canonical_sha256":"37d8f65ee211d893e70bf42c3862ea1f7d69e312af2384c09b5fb11a628d5d73","source":{"kind":"arxiv","id":"2401.13995","version":3},"attestation_state":"computed","paper":{"title":"Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Fuhui Zhou, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Tony Q. S. Quek, Xi Song, Zhibo Qu","submitted_at":"2024-01-25T07:44:00Z","abstract_excerpt":"Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the finite computation, energy and communication resources, which limits the achievable detection performance. In order to overcome this challenge, a UAV cognitive semantic communication system is proposed by exploiting knowledge graph. Moreover, a multi-scale compression network is designed for semantic compression to reduce data transmission volume while guaranteeing the detection performance. Furthermore, an object detec"},"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":"2401.13995","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-01-25T07:44:00Z","cross_cats_sorted":[],"title_canon_sha256":"5113ac996d4f9e429c7e4e427ba6927a8a0dda1c0ebb4a662c812db0fc7c1316","abstract_canon_sha256":"4c8e917a7b1655977a15c5119ff9d3b235c9c170c0302613498c3e4e10c63eb6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:48:02.940679Z","signature_b64":"AmHbwTkXIpRJpQl5tqz32zBYPWoxyNMWVZcAui+KJ2XGAT/jNXLtsbkT4dtkEgv1Pvcb6ETSvbzcM+JalRg4Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37d8f65ee211d893e70bf42c3862ea1f7d69e312af2384c09b5fb11a628d5d73","last_reissued_at":"2026-07-05T07:48:02.940173Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:48:02.940173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Knowledge Graph Driven UAV Cognitive Semantic Communication Systems for Efficient Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Fuhui Zhou, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Tony Q. S. Quek, Xi Song, Zhibo Qu","submitted_at":"2024-01-25T07:44:00Z","abstract_excerpt":"Unmanned aerial vehicles (UAVs) are widely used for object detection. However, the existing UAV-based object detection systems are subject to the serious challenge, namely, the finite computation, energy and communication resources, which limits the achievable detection performance. In order to overcome this challenge, a UAV cognitive semantic communication system is proposed by exploiting knowledge graph. Moreover, a multi-scale compression network is designed for semantic compression to reduce data transmission volume while guaranteeing the detection performance. Furthermore, an object detec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13995","kind":"arxiv","version":3},"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/2401.13995/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":"2401.13995","created_at":"2026-07-05T07:48:02.940231+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.13995v3","created_at":"2026-07-05T07:48:02.940231+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13995","created_at":"2026-07-05T07:48:02.940231+00:00"},{"alias_kind":"pith_short_12","alias_value":"G7MPMXXCCHMJ","created_at":"2026-07-05T07:48:02.940231+00:00"},{"alias_kind":"pith_short_16","alias_value":"G7MPMXXCCHMJHZYL","created_at":"2026-07-05T07:48:02.940231+00:00"},{"alias_kind":"pith_short_8","alias_value":"G7MPMXXC","created_at":"2026-07-05T07:48:02.940231+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2502.03761","citing_title":"UAV Cognitive Semantic Communications Enabled by Knowledge Graph for Robust Object Detection","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5","json":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5.json","graph_json":"https://pith.science/api/pith-number/G7MPMXXCCHMJHZYL6QWDQYXKD5/graph.json","events_json":"https://pith.science/api/pith-number/G7MPMXXCCHMJHZYL6QWDQYXKD5/events.json","paper":"https://pith.science/paper/G7MPMXXC"},"agent_actions":{"view_html":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5","download_json":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5.json","view_paper":"https://pith.science/paper/G7MPMXXC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.13995&json=true","fetch_graph":"https://pith.science/api/pith-number/G7MPMXXCCHMJHZYL6QWDQYXKD5/graph.json","fetch_events":"https://pith.science/api/pith-number/G7MPMXXCCHMJHZYL6QWDQYXKD5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5/action/storage_attestation","attest_author":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5/action/author_attestation","sign_citation":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5/action/citation_signature","submit_replication":"https://pith.science/pith/G7MPMXXCCHMJHZYL6QWDQYXKD5/action/replication_record"}},"created_at":"2026-07-05T07:48:02.940231+00:00","updated_at":"2026-07-05T07:48:02.940231+00:00"}