{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ADI7OH2KAC5NC34LBCRETIQE54","short_pith_number":"pith:ADI7OH2K","schema_version":"1.0","canonical_sha256":"00d1f71f4a00bad16f8b08a249a204ef048ff3ff5a1769cbb93fa02ce50f0135","source":{"kind":"arxiv","id":"2509.06312","version":1},"attestation_state":"computed","paper":{"title":"Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Guangyu Lei, Huahao Ding, Junwei Wu, Longyu Zhou, Qinyu Zhang, Tianhao Liang, Tingting Zhang, Weijie Yuan, Xingjian Zhang, Xinglin Chen, Xiyuan Zhang, Yuqi Ping","submitted_at":"2025-09-08T03:34:56Z","abstract_excerpt":"The rapid development of the low-altitude economy emphasizes the critical need for effective perception and intent recognition of non-cooperative unmanned aerial vehicles (UAVs). The advanced generative reasoning capabilities of multimodal large language models (MLLMs) present a promising approach in such tasks. In this paper, we focus on the combination of UAV intent recognition and the MLLMs. Specifically, we first present an MLLM-enabled UAV intent recognition architecture, where the multimodal perception system is utilized to obtain real-time payload and motion information of UAVs, generat"},"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":"2509.06312","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-09-08T03:34:56Z","cross_cats_sorted":["cs.LG","cs.SY"],"title_canon_sha256":"a6d9673d5a6524b6ef3f4012f9eee5f37a165eeea7e941a8139101f67641999c","abstract_canon_sha256":"54fbdc49a89abd1ae0a921881d6c3706d97d58c5ba4756ad456c8ecbe74050b8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:33.533637Z","signature_b64":"Wpf1ycxXsU1ny/60NzYp/7CzDX5f5mfQXpcs6d2+AEvG+HN0ATLAnM/MvGFtW9+WdINbuULVfrT6HBMzTBVlDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00d1f71f4a00bad16f8b08a249a204ef048ff3ff5a1769cbb93fa02ce50f0135","last_reissued_at":"2026-07-05T12:06:33.533151Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:33.533151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing Low-Altitude Airspace Security: MLLM-Enabled UAV Intent Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Guangyu Lei, Huahao Ding, Junwei Wu, Longyu Zhou, Qinyu Zhang, Tianhao Liang, Tingting Zhang, Weijie Yuan, Xingjian Zhang, Xinglin Chen, Xiyuan Zhang, Yuqi Ping","submitted_at":"2025-09-08T03:34:56Z","abstract_excerpt":"The rapid development of the low-altitude economy emphasizes the critical need for effective perception and intent recognition of non-cooperative unmanned aerial vehicles (UAVs). The advanced generative reasoning capabilities of multimodal large language models (MLLMs) present a promising approach in such tasks. In this paper, we focus on the combination of UAV intent recognition and the MLLMs. Specifically, we first present an MLLM-enabled UAV intent recognition architecture, where the multimodal perception system is utilized to obtain real-time payload and motion information of UAVs, generat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06312","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/2509.06312/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":"2509.06312","created_at":"2026-07-05T12:06:33.533204+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.06312v1","created_at":"2026-07-05T12:06:33.533204+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06312","created_at":"2026-07-05T12:06:33.533204+00:00"},{"alias_kind":"pith_short_12","alias_value":"ADI7OH2KAC5N","created_at":"2026-07-05T12:06:33.533204+00:00"},{"alias_kind":"pith_short_16","alias_value":"ADI7OH2KAC5NC34L","created_at":"2026-07-05T12:06:33.533204+00:00"},{"alias_kind":"pith_short_8","alias_value":"ADI7OH2K","created_at":"2026-07-05T12:06:33.533204+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/ADI7OH2KAC5NC34LBCRETIQE54","json":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54.json","graph_json":"https://pith.science/api/pith-number/ADI7OH2KAC5NC34LBCRETIQE54/graph.json","events_json":"https://pith.science/api/pith-number/ADI7OH2KAC5NC34LBCRETIQE54/events.json","paper":"https://pith.science/paper/ADI7OH2K"},"agent_actions":{"view_html":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54","download_json":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54.json","view_paper":"https://pith.science/paper/ADI7OH2K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.06312&json=true","fetch_graph":"https://pith.science/api/pith-number/ADI7OH2KAC5NC34LBCRETIQE54/graph.json","fetch_events":"https://pith.science/api/pith-number/ADI7OH2KAC5NC34LBCRETIQE54/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54/action/storage_attestation","attest_author":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54/action/author_attestation","sign_citation":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54/action/citation_signature","submit_replication":"https://pith.science/pith/ADI7OH2KAC5NC34LBCRETIQE54/action/replication_record"}},"created_at":"2026-07-05T12:06:33.533204+00:00","updated_at":"2026-07-05T12:06:33.533204+00:00"}