{"as_of":"2026-08-07T09:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:44e4abd46fc1906a4406647a39a62535ae40b8dcf68ffcd86be8e95972ac969c","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-30T13:50:41.074522Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.23870/citation-record","integrity":"/paper/2607.23870/integrity","json":"/paper/2607.23870/citation-record.json","paper":"/paper/2607.23870"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.810940Z","title":"UA VBench: An open benchmark dataset for autonomous and agentic AI UA V systems via LLM-generated flight scenarios,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.810940Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:89b2f65c41ddd93ab94cbc0a297ebcd0450b6479c8f90fcc679a662f01be168d","observation_id":"4d47c24f-8713-4817-9766-eb39577aaf6f","resolution":{"observed_at":"2026-07-30T13:50:40.810940Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.815622Z","title":"Drones as a service (DaaS) for 5G networks and blockchain-assisted IoT-based smart city infrastructure,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.815622Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:2bacb64d102a965cab9704f2be0ec5193248773beafbd563d187416a08415224","observation_id":"8afaca99-cb9b-4485-8061-6744af9903e0","resolution":{"observed_at":"2026-07-30T13:50:40.815622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.820150Z","title":"Advancing UA V security with artificial intelligence: A comprehensive survey of techniques and future directions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.820150Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:76856b32f0f5b7a4348cb12bcd3310204961ee6a8664692c8691dd713994d2d3","observation_id":"9d238312-b5f8-4866-9282-e2ad143c0cb3","resolution":{"observed_at":"2026-07-30T13:50:40.820150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.824179Z","title":"Toward secure complex UA V cyber-physical systems: A unified threat taxonomy and cross-layer survey of cybersecurity challenges,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.824179Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:93caff6d4cfec5c63aba5f3a2128bb1e1805dbd8a9b4ec3281cf0d64d098943f","observation_id":"35ba8de0-a339-4202-ad9b-a8438c4ab7dc","resolution":{"observed_at":"2026-07-30T13:50:40.824179Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.828877Z","title":"Cyber physical systems: Design challenges,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.828877Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:8162f5f13339c70e83bd6bafc68de01dbf868aa116d62064bfcdb52008bbdfee","observation_id":"9a11631f-0064-487b-a6fd-96359d31222e","resolution":{"observed_at":"2026-07-30T13:50:40.828877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.834677Z","title":"Cyber-physical systems security: A survey,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.834677Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:b1828bb373fdc98fb0425f178ab7c64cdb09eb2b59713103a83447de35c7aa6c","observation_id":"6fb20ff5-2bb8-4c0d-97d6-5739febd13ce","resolution":{"observed_at":"2026-07-30T13:50:40.834677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.840558Z","title":"AirCopBench: A benchmark for multi-drone collaborative embodied perception and reasoning,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.840558Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:4ceab9489def92e8ee8f896fe6c7e3109a077e406ea030945816c0e06bfba7a7","observation_id":"a44d94de-fcad-49b4-b1dd-85d325649daf","resolution":{"observed_at":"2026-07-30T13:50:40.840558Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.12261","last_updated":"2019-03-28T20:56:37Z","snapshot_observed_at":"2026-08-02T09:01:28.869881Z","submitted_at":"2019-03-28T20:56:37Z","title":"Benchmarking Neural Network Robustness to Common Corruptions and Perturbations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.12261","snapshot_observed_at":"2026-07-30T13:50:40.844928Z","title":"Benchmarking neural network robustness to common corruptions and perturbations,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.844928Z"},"links":{"cited_paper":"/paper/1903.12261","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:f24b0d4bd3e5328b9d0ab714eb2fb3f43d8cefa36bee7d4627544cbc64588fe5","observation_id":"301111b3-33a5-4c0d-89b8-42cf01ef1fb8","resolution":{"observed_at":"2026-07-30T13:50:40.844928Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09604","last_updated":"2024-10-12T17:49:26Z","snapshot_observed_at":"2026-08-04T16:00:02.144760Z","submitted_at":"2024-10-12T17:49:26Z","title":"EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09604","snapshot_observed_at":"2026-07-30T13:50:40.849925Z","title":"EmbodiedCity: A benchmark platform for embodied agent in real-world city environment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.849925Z"},"links":{"cited_paper":"/paper/2410.09604","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:fcc4f949def46166e75f5de2b6ebcef5defc47f1d26570a152147499f8a82b8d","observation_id":"0e02ce6a-2a3c-4208-a1f4-706090655bb4","resolution":{"observed_at":"2026-07-30T13:50:40.849925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.864076Z","title":"UrbanVideo-bench: Benchmarking vision-language models on embodied intelligence with video data in urban spaces,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.864076Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:db9799f59c4bd30e50ce357f991aa1798bffd20777990df9b412e8e436d79923","observation_id":"1195c5f9-47c8-4113-b19e-ef7b6270a31b","resolution":{"observed_at":"2026-07-30T13:50:40.864076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.868252Z","title":"CityNav: A large-scale dataset for real-world aerial navigation,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.868252Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:d5dca5ba7aca75afc7e2571bce6e10ae2fec147b158303dcedd33fb76197cb9b","observation_id":"c5543ab6-cda4-49c2-9a66-bc4fdc308fed","resolution":{"observed_at":"2026-07-30T13:50:40.868252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.872625Z","title":"CityNavAgent: Aerial vision-and-language navigation with hierarchical semantic planning and global memory,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.872625Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:445767af2503f3f3898af5278ad4f7227f43f25e2a8cfe64fcc902f582639061","observation_id":"c0d6af87-15ae-43d8-aaeb-06ef225ea149","resolution":{"observed_at":"2026-07-30T13:50:40.872625Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.877024Z","title":"MM-UA VBench: How well do multimodal large language models see, think, and plan in low-altitude UA V scenarios?","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.877024Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:0a3ee9d0b716827bd04b9b07c17d97364b04a63bc2b34b260afa3918adc56660","observation_id":"5badc01a-935a-446f-a248-3aa4e4ad49e1","resolution":{"observed_at":"2026-07-30T13:50:40.877024Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.01371","last_updated":"2026-05-02T10:30:42Z","snapshot_observed_at":"2026-07-06T23:14:38.379875Z","submitted_at":"2026-05-02T10:30:42Z","title":"ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.01371","snapshot_observed_at":"2026-07-30T13:50:40.882115Z","title":"ESARBench: A benchmark for agentic UA V embodied search and rescue,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.882115Z"},"links":{"cited_paper":"/paper/2605.01371","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:ac004bf355ca99e0a5baeb77358572c6947e1c60ac0e5291061abefa17449e24","observation_id":"2bc294ad-9fd1-4a75-b3d2-147fbac938fe","resolution":{"observed_at":"2026-07-30T13:50:40.882115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.886333Z","title":"UA V-ON: A benchmark for open-world object goal navigation with aerial agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.886333Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:a509b230263e87fb6697689861d74a839294a34e7222e629752e942744418d80","observation_id":"e8824238-030e-49df-9744-81488d3fe7be","resolution":{"observed_at":"2026-07-30T13:50:40.886333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.894082Z","title":"RT-2: Vision-language-action models transfer web knowledge to robotic control,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.894082Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:241de6cb0c1f698e3f5170769ec8fcb63dbebe8f735e7b9f39d740efa5892a3d","observation_id":"0cac6d52-e06d-4ad2-ae5f-706acc2e8fe6","resolution":{"observed_at":"2026-07-30T13:50:40.894082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.901279Z","title":"OpenVLA: An open-source vision-language- action model,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.901279Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:c6a4395f086a77291c057c969af807c33c3bdf513c16aaa2d4228eb69ee33e7e","observation_id":"1192bded-2511-45a6-a910-2362e29bb616","resolution":{"observed_at":"2026-07-30T13:50:40.901279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.909556Z","title":"ARViP: Adversarial regularization in visuomotor policies for robotic VLA purpose,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.909556Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:914d50a431663f7c0ecaf06dbbce2317da16d8da2f5ead4b2a24baf1b881d6d1","observation_id":"68539557-da7e-49f6-9896-7950c3cc2790","resolution":{"observed_at":"2026-07-30T13:50:40.909556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.915659Z","title":"A survey on vision– language–action models for embodied AI,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.915659Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:540632532289b31e1edf03e73e5a8d5e3ec38e78d2f3dc007e20a64f7f85a9e4","observation_id":"1fd2af17-8606-413c-bc49-3aecb0b01f35","resolution":{"observed_at":"2026-07-30T13:50:40.915659Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.921294Z","title":"UA VScenes: A multi-modal dataset for UA Vs,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.921294Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:caab0daa0df774cafd802c3d400b33692654c966ed2056bf6089ebd3b9ccceff","observation_id":"fd0255a1-852d-4684-baa2-5b8feda64884","resolution":{"observed_at":"2026-07-30T13:50:40.921294Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.925430Z","title":"Replanning-oriented framework for efficient real-time decision-making in multi-UA V sys- tems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.925430Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:d50a3a7a548933a86982837825a249e87afe5db1d350ab2f7b535fce2e590430","observation_id":"36551075-fd7b-4620-bd4c-33b5c80cd629","resolution":{"observed_at":"2026-07-30T13:50:40.925430Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.929850Z","title":"Task offloading for multi-UA V asset edge computing with deep reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.929850Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:437679af8563ce6ad21187aa558b711fceebb1b33cf798c5540e65f77b1498ad","observation_id":"2bcc2df1-8574-40b1-bc4c-78599f68803b","resolution":{"observed_at":"2026-07-30T13:50:40.929850Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.933774Z","title":"Resilient event-triggered formation control and secure estimation of multi-UA V systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.933774Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:e2c2b5a61143bdfc36e9d1ec16837217b839c1fce851cd4f574df5d85ec59b39","observation_id":"ff2a94a7-ee56-4167-8478-fdc0a538e241","resolution":{"observed_at":"2026-07-30T13:50:40.933774Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.937541Z","title":"Authentica- tion framework for secure smart farming system deployed for sustainable development of smart cities: A review,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.937541Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:7375dfd8938bc3ba54bb9ecdb385b5fce31a61b56e8d15d28b00213e39b4f340","observation_id":"ecf43393-38c6-4af1-937b-06f88763f4ef","resolution":{"observed_at":"2026-07-30T13:50:40.937541Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.941649Z","title":"AerialVLN: Vision-and-language navigation for UA Vs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.941649Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:af88211d3d2f1fc93a3824de7013c512ef3158fce6e1359e1eab4834968f069a","observation_id":"417da5d2-9e26-4cd1-821e-239bf5de5911","resolution":{"observed_at":"2026-07-30T13:50:40.941649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.945193Z","title":"MMMU: A massive multi-discipline multimodal understanding and reasoning benchmark for expert AGI,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.945193Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:79d27ff782b6cc2af3718cb9a834a5c5860f718b7aeb8cdfdad39315ade3e23f","observation_id":"6252080d-a975-4b2f-a601-471ad9797282","resolution":{"observed_at":"2026-07-30T13:50:40.945193Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.948669Z","title":"MMBench: Is your multi-modal model an all-around player?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.948669Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:8b7f0e71c60204da422a23377b195a286edc6c0c0a1aeb7d0068430d288d6d72","observation_id":"d44b323a-addc-489d-bbfd-049df7177b2b","resolution":{"observed_at":"2026-07-30T13:50:40.948669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.952170Z","title":"Video-MME: The first-ever comprehensive evaluation benchmark of multi-modal LLMs in video analysis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.952170Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:7de93bb61c6f9a260236b76b1146b8bc7133bf6dbf0bf045999eff108a564d63","observation_id":"a778bdc1-5a06-4e83-8888-96fd34cc8acc","resolution":{"observed_at":"2026-07-30T13:50:40.952170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09110","last_updated":"2023-10-01T21:44:23Z","snapshot_observed_at":"2026-08-01T19:14:56.803459Z","submitted_at":"2022-11-16T18:51:34Z","title":"Holistic Evaluation of Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.09110","snapshot_observed_at":"2026-07-30T13:50:40.955267Z","title":"Holistic evaluation of language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.955267Z"},"links":{"cited_paper":"/paper/2211.09110","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:494ea65b2c5c66615a2ae639241a034a71bcd233af46428c2ff1f9e898c00a8f","observation_id":"013f4cad-f5e2-467a-9f68-28d412fc2a4d","resolution":{"observed_at":"2026-07-30T13:50:40.955267Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.962006Z","title":"DecodingTrust: A comprehensive assessment of trustworthiness in GPT models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.962006Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:2978cac61ab7185fefc725ff6cf0746f2dc9338baa220fd77275f27fcd571c0d","observation_id":"1edd3797-584a-4c96-b95d-10b1936d4090","resolution":{"observed_at":"2026-07-30T13:50:40.962006Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.966547Z","title":"Vision-based learning for drones: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.966547Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:a1ed3efbb694a64be465f09a39a7e40cffc6286714764bf490e1ee3cc450fde1","observation_id":"fdc99126-a276-4c92-825b-3065d6211e2e","resolution":{"observed_at":"2026-07-30T13:50:40.966547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.972335Z","title":"α 3-Bench: A unified benchmark of safety, robustness, and efficiency for LLM-based UA V agents over 6G networks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.972335Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:89f832195ad2e5952edaeda89bccbff93bdf1a0964fb57cd4383a6024b89973a","observation_id":"8b2744ae-5541-45c1-8223-18f8c93e132f","resolution":{"observed_at":"2026-07-30T13:50:40.972335Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.19822","last_updated":"2026-07-03T09:33:21Z","snapshot_observed_at":"2026-08-03T11:16:52.005194Z","submitted_at":"2026-03-20T10:08:42Z","title":"HUGE-Bench: A Benchmark for High-Level UAV Vision-Language-Action Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.19822","snapshot_observed_at":"2026-07-30T13:50:40.976226Z","title":"HUGE-Bench: A benchmark for high-level UA V vision- language-action tasks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.976226Z"},"links":{"cited_paper":"/paper/2603.19822","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:d63fdaa3cd618e5cf1d5c55714efcc83c76f5da538fe7efa0a9ac5ef776cbb59","observation_id":"0c2f3a68-ead0-43a5-b227-86aaf22c6450","resolution":{"observed_at":"2026-07-30T13:50:40.976226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.981464Z","title":"A mathematical theory of communication,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.981464Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:cc0454aa9fcdb66543cd62a0689286734eaba44f5baacb73fc5e37a6974e8c20","observation_id":"1dfa7bc3-cd5b-4208-9dee-9c9252b6945d","resolution":{"observed_at":"2026-07-30T13:50:40.981464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.996919Z","title":"SelectiveNet: A deep neural network with an integrated reject option,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.996919Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:f5d16f77db04ae9e4bf0db11214b84126762e766914712a947f826b8cca51324","observation_id":"90b6d7f7-8b94-4377-b0f0-20bdfc3dda37","resolution":{"observed_at":"2026-07-30T13:50:40.996919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.002387Z","title":"On calibration of modern neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.002387Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:02869c58cbb071edb41851b60dc7dd9e1168f23ca850c86f9bca929aaa5c7928","observation_id":"00a64b9a-e676-4921-8fc5-39ff894c1b72","resolution":{"observed_at":"2026-07-30T13:50:41.002387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-07-30T13:50:41.009839Z","title":"Qwen3-VL technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.009839Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:d456215b5d7d4c0e449d6f3cb553a94b5831c75fc16ac8f4e04f432b8a1acf13","observation_id":"aee1e832-ef72-4b5d-9621-9b52f05dcf4c","resolution":{"observed_at":"2026-07-30T13:50:41.009839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.015637Z","title":"Qwen3.5: Towards native multimodal agents,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.015637Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:4e6989a11cfbc8207c4c28f8cf05e0b1b443358b24ab9bc289f2acbba4198cd1","observation_id":"b823f144-ac63-447c-989c-2d6e790f3b30","resolution":{"observed_at":"2026-07-30T13:50:41.015637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.021627Z","title":"SmolVLM2-2.2B-Instruct model card,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.021627Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:acbad2b34932e909434951ad99e8aca34bd2c02b220c013eddf36d5a80285255","observation_id":"9bea8f7d-3666-47cc-97c9-067eaa15548b","resolution":{"observed_at":"2026-07-30T13:50:41.021627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.01743","last_updated":"2025-03-07T09:05:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-03T17:05:52Z","title":"Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.01743","snapshot_observed_at":"2026-07-30T13:50:41.025456Z","title":"Phi-4-Mini technical report: Compact yet powerful multimodal language models via mixture-of-LoRAs,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.025456Z"},"links":{"cited_paper":"/paper/2503.01743","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:7de3e8ca591e7f1c87357e00c0eff3202cbf8d142be652f901c6dd99e604cf72","observation_id":"0bcc2aec-a860-4383-b77d-15d31cb28384","resolution":{"observed_at":"2026-07-30T13:50:41.025456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.031318Z","title":"Gemma 4 model overview,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.031318Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:f034f4952fbf9e03dae6b037ae712e294116757dc83b52aa0aa1383b32e59c7f","observation_id":"e9dc761c-64c5-4912-88e4-915176678c51","resolution":{"observed_at":"2026-07-30T13:50:41.031318Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18265","last_updated":"2025-08-27T14:39:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-25T17:58:17Z","title":"InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18265","snapshot_observed_at":"2026-07-30T13:50:41.035315Z","title":"InternVL3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.035315Z"},"links":{"cited_paper":"/paper/2508.18265","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:6c7fe65e999698a8dd0c8f1c3f5a3c05649cb23f42b501aa7c71bcf04a565a4f","observation_id":"6c5a353a-7f53-4012-8897-01e25fb91447","resolution":{"observed_at":"2026-07-30T13:50:41.035315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.041827Z","title":"GLM-4.6V overview,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.041827Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:c4fd42ca926c57bf95c72953f61ce454261165efc4dc4237e237be62f8dd544f","observation_id":"813bd19a-ca5c-4dcf-b4c1-bfdd6b5d7de4","resolution":{"observed_at":"2026-07-30T13:50:41.041827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-07-30T13:50:41.046345Z","title":"Qwen2.5-VL technical report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.046345Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:0b794080eb37631e121dbae5af610751424ca42e1dbb14216c62d9517263be75","observation_id":"05984a4d-766b-4f9c-8198-ee3bd40074d8","resolution":{"observed_at":"2026-07-30T13:50:41.046345Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.18154","last_updated":"2025-09-16T19:41:48Z","snapshot_observed_at":"2026-07-06T22:30:31.933240Z","submitted_at":"2025-09-16T19:41:48Z","title":"MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.18154","snapshot_observed_at":"2026-07-30T13:50:41.051725Z","title":"MiniCPM-V 4.5: Cooking efficient MLLMs via architecture, data, and training recipe,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.051725Z"},"links":{"cited_paper":"/paper/2509.18154","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:3f3be833a64e3272731fda69e115a134cc89446c5983e4fa9fd8901519005a12","observation_id":"e3e0e3c8-35a0-44a2-af45-0ad323ed9ab6","resolution":{"observed_at":"2026-07-30T13:50:41.051725Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08751","last_updated":"2025-05-13T17:03:48Z","snapshot_observed_at":"2026-07-06T21:23:23.760393Z","submitted_at":"2025-05-13T17:03:48Z","title":"Aya Vision: Advancing the Frontier of Multilingual Multimodality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.08751","snapshot_observed_at":"2026-07-30T13:50:41.055985Z","title":"Aya Vision: Advancing the frontier of multilingual multimodality,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.055985Z"},"links":{"cited_paper":"/paper/2505.08751","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:54b73b5a5ee0a85aa3f9614932375afadd73a9b217f931cb553596de125e018f","observation_id":"7f4ce729-0bf7-4248-9bb8-346ec513e6b7","resolution":{"observed_at":"2026-07-30T13:50:41.055985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12637","last_updated":"2024-08-22T17:47:24Z","snapshot_observed_at":"2026-07-06T19:04:47.884694Z","submitted_at":"2024-08-22T17:47:24Z","title":"Building and better understanding vision-language models: insights and future directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12637","snapshot_observed_at":"2026-07-30T13:50:41.061598Z","title":"Building and better understanding vision-language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.061598Z"},"links":{"cited_paper":"/paper/2408.12637","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:b8c41f5f0f656f319dbecd70d8f79c41176d4513a31c1cf5dd62143874800e0e","observation_id":"0cfbcc96-ccc5-4fce-b4bb-fc008816a546","resolution":{"observed_at":"2026-07-30T13:50:41.061598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.066491Z","title":"LLaV A-NeXT: Improved reasoning, OCR, and world knowledge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.066491Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:8ed7f409d2af00ae954d803fc958f708c1e14fe3699fff34e6bf54d54f91704a","observation_id":"1a4e4205-c471-46f0-a00a-d50ab299d421","resolution":{"observed_at":"2026-07-30T13:50:41.066491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.06565","last_updated":"2016-07-25T17:23:29Z","snapshot_observed_at":"2026-07-06T05:00:46.434335Z","submitted_at":"2016-06-21T13:37:05Z","title":"Concrete Problems in AI Safety","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06565","snapshot_observed_at":"2026-07-30T13:50:41.070453Z","title":"Concrete problems in AI safety,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.070453Z"},"links":{"cited_paper":"/paper/1606.06565","citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:653b6e1c613e0c2a6a214ad2e60b437d05ce7aa0c1b1b1157b3eae69ab22e066","observation_id":"ef27f300-e8d9-4ac6-9bd6-e6d982969e88","resolution":{"observed_at":"2026-07-30T13:50:41.070453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:41.074522Z","title":"Advanced security frameworks for UA V and IoT: A deep learning approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:41.074522Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:77531470ada692322e258140361f13cc957b214aa0b425cf6b4c3c5056531af2","observation_id":"b25ec72e-7470-4ad4-ad0e-7316a8a5d25b","resolution":{"observed_at":"2026-07-30T13:50:41.074522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.905398Z","title":"2679–2713","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":270,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.905398Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:c07a6db9b968f541333267503fc99fe6de6c02ac29232beac97c417365814a92","observation_id":"515c68f5-9b71-40e9-a379-44e46afcb29a","resolution":{"observed_at":"2026-07-30T13:50:40.905398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-30T13:50:40.989853Z","title":"Available: https://people.math.harvard.edu/ ∼ctm/home/ text/others/shannon/entropy/entropy.pdf","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents","version":1},"reference_index":1948,"source":"pdf_text","source_observed_at":"2026-07-30T13:50:40.989853Z"},"links":{"citing_paper":"/paper/2607.23870"},"observation_digest":"sha256:1e24dde13517e622853ad313194db1157ecf4cf2ea8685027470b5b7413aae9d","observation_id":"cf107f8e-32c8-429a-95b9-2715c65b808a","resolution":{"observed_at":"2026-07-30T13:50:40.989853Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.23870","last_updated":"2026-07-26T22:23:43Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-07-30T23:56:52.740060Z","submitted_at":"2026-07-26T22:23:43Z","title":"MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":52,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":52},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.23870."}