{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:VMWYHYMT6ISP73OK35EZHVRRXC","short_pith_number":"pith:VMWYHYMT","schema_version":"1.0","canonical_sha256":"ab2d83e193f224ffedcadf4993d631b8ad4ce07d9c6db3557b6cfc21b1c3e11d","source":{"kind":"arxiv","id":"2506.08045","version":1},"attestation_state":"computed","paper":{"title":"UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Konstantinos I. Roumeliotis, Manoj Karkee, Ranjan Sapkota","submitted_at":"2025-06-08T01:39:51Z","abstract_excerpt":"Agentic UAVs represent a new frontier in autonomous aerial intelligence, integrating perception, decision-making, memory, and collaborative planning to operate adaptively in complex, real-world environments. Driven by recent advances in Agentic AI, these systems surpass traditional UAVs by exhibiting goal-driven behavior, contextual reasoning, and interactive autonomy. We provide a comprehensive foundation for understanding the architectural components and enabling technologies that distinguish Agentic UAVs from traditional autonomous UAVs. Furthermore, a detailed comparative analysis highligh"},"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":"2506.08045","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-08T01:39:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"99b94f438fc4f771052b51e24aa119c618734d03c0328bfad2aca8b38dd6ab71","abstract_canon_sha256":"1d0ca447e724a509c6947e1dfc519cc7fd9073b5907be7a6fdcaa3cbe3b81823"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:44.058619Z","signature_b64":"nO+yto4fV/2kGKi6YDe1p9goK6fxm0S09C01/JW4n8TwBYE+vo4CvmaJhuRfgzWQOBeWl57D7LyZHHUGSQlVDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ab2d83e193f224ffedcadf4993d631b8ad4ce07d9c6db3557b6cfc21b1c3e11d","last_reissued_at":"2026-07-05T11:18:44.058258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:44.058258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"UAVs Meet Agentic AI: A Multidomain Survey of Autonomous Aerial Intelligence and Agentic UAVs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Konstantinos I. Roumeliotis, Manoj Karkee, Ranjan Sapkota","submitted_at":"2025-06-08T01:39:51Z","abstract_excerpt":"Agentic UAVs represent a new frontier in autonomous aerial intelligence, integrating perception, decision-making, memory, and collaborative planning to operate adaptively in complex, real-world environments. Driven by recent advances in Agentic AI, these systems surpass traditional UAVs by exhibiting goal-driven behavior, contextual reasoning, and interactive autonomy. We provide a comprehensive foundation for understanding the architectural components and enabling technologies that distinguish Agentic UAVs from traditional autonomous UAVs. Furthermore, a detailed comparative analysis highligh"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08045","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/2506.08045/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":"2506.08045","created_at":"2026-07-05T11:18:44.058328+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.08045v1","created_at":"2026-07-05T11:18:44.058328+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08045","created_at":"2026-07-05T11:18:44.058328+00:00"},{"alias_kind":"pith_short_12","alias_value":"VMWYHYMT6ISP","created_at":"2026-07-05T11:18:44.058328+00:00"},{"alias_kind":"pith_short_16","alias_value":"VMWYHYMT6ISP73OK","created_at":"2026-07-05T11:18:44.058328+00:00"},{"alias_kind":"pith_short_8","alias_value":"VMWYHYMT","created_at":"2026-07-05T11:18:44.058328+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.00104","citing_title":"PEACE: A Planner-Executor Agent with Constraint Enforcement for UAVs","ref_index":2,"is_internal_anchor":false},{"citing_arxiv_id":"2509.11607","citing_title":"Low-Altitude Wireless Networks: A Comprehensive Survey","ref_index":161,"is_internal_anchor":false},{"citing_arxiv_id":"2601.15486","citing_title":"A Universal Large Language Model -- Drone Command and Control Interface","ref_index":23,"is_internal_anchor":false},{"citing_arxiv_id":"2605.01371","citing_title":"ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue","ref_index":43,"is_internal_anchor":false},{"citing_arxiv_id":"2604.13654","citing_title":"Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap","ref_index":15,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC","json":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC.json","graph_json":"https://pith.science/api/pith-number/VMWYHYMT6ISP73OK35EZHVRRXC/graph.json","events_json":"https://pith.science/api/pith-number/VMWYHYMT6ISP73OK35EZHVRRXC/events.json","paper":"https://pith.science/paper/VMWYHYMT"},"agent_actions":{"view_html":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC","download_json":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC.json","view_paper":"https://pith.science/paper/VMWYHYMT","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.08045&json=true","fetch_graph":"https://pith.science/api/pith-number/VMWYHYMT6ISP73OK35EZHVRRXC/graph.json","fetch_events":"https://pith.science/api/pith-number/VMWYHYMT6ISP73OK35EZHVRRXC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC/action/storage_attestation","attest_author":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC/action/author_attestation","sign_citation":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC/action/citation_signature","submit_replication":"https://pith.science/pith/VMWYHYMT6ISP73OK35EZHVRRXC/action/replication_record"}},"created_at":"2026-07-05T11:18:44.058328+00:00","updated_at":"2026-07-05T11:18:44.058328+00:00"}