{"as_of":"2026-08-20T18:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6cd1c87617270fbdbc6bf7def66d7060f4418ca51adfce081bc137ceb77939be","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:09:51.358782Z","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":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:10:27.933674Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T12:38:15.569421Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02787","snapshot_observed_at":"2026-08-16T12:10:27.933674Z","title":"Joint optimization of uav-carried irs for urban low altitude mmwave communications with deep reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.13554","last_updated":"2025-07-10T07:28:13Z","snapshot_observed_at":"2026-08-18T11:43:52.441725Z","submitted_at":"2025-04-18T08:44:06Z","title":"Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T12:10:27.933674Z"},"links":{"cited_paper":"/paper/2501.02787","citing_paper":"/paper/2504.13554"},"observation_digest":"sha256:7195f192e0ab53c7db65e22c82db320d53b16a97526b69fdafcb774483c001b5","observation_id":"a58aaee9-41c3-4df9-b922-b537c60b951f","resolution":{"observed_at":"2026-08-16T12:10:27.933674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2501.02787","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.02787","snapshot_observed_at":"2026-08-05T12:38:15.569421Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","venue":"cs.NI","work_id":"befc68fd-d6bc-439e-8520-f553657e423b","year":2025},"citing_paper":{"arxiv_id":"2509.01427","last_updated":"2025-09-01T12:35:26Z","snapshot_observed_at":"2026-08-05T12:38:14.505154Z","submitted_at":"2025-09-01T12:35:26Z","title":"Multi-AAV-enabled Distributed Beamforming in Low-Altitude Wireless Networking for AoI-Sensitive IoT Data Forwarding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:38:15.379137Z"},"links":{"cited_paper":"/paper/2501.02787","citing_paper":"/paper/2509.01427"},"observation_digest":"sha256:0d9e1092dae65e5cfec465cf7dccdb8618f4bd340bb21740b38fa3cf9606914f","observation_id":"ced74150-5387-4143-833f-336551a83efd","resolution":{"observed_at":"2026-08-05T12:38:15.575132Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02787","snapshot_observed_at":"2026-08-03T22:04:45.258127Z","title":"Joint optimization of UA V-carried IRS for urban low altitude mmwave communications with deep reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.12501","last_updated":"2026-06-25T07:05:04Z","snapshot_observed_at":"2026-08-11T01:44:03.779998Z","submitted_at":"2025-11-16T08:26:17Z","title":"Collaborative Charging Optimization for Wireless Rechargeable Sensor Networks via Heterogeneous Mobile Chargers","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T22:04:45.258127Z"},"links":{"cited_paper":"/paper/2501.02787","citing_paper":"/paper/2511.12501"},"observation_digest":"sha256:bd3c1018e6c9e49c4fadfef5fc3887aa03c223446d726ed22acc5363489b8892","observation_id":"7bd5191a-b829-4726-9d03-da2106c546e6","resolution":{"observed_at":"2026-08-03T22:04:45.258127Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.02787","snapshot_observed_at":"2026-08-12T00:18:31.239232Z","title":"Joint optimization of UA V-carried IRS for urban low altitude mmwave communications with deep reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.08225","last_updated":"2026-08-08T16:45:10Z","snapshot_observed_at":"2026-08-19T10:44:56.505126Z","submitted_at":"2026-08-08T16:45:10Z","title":"Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks","version":1},"reference_index":129,"source":"pdf_text","source_observed_at":"2026-08-12T00:18:31.239232Z"},"links":{"cited_paper":"/paper/2501.02787","citing_paper":"/paper/2608.08225"},"observation_digest":"sha256:bfa99d98ad6b2e6dd118ba3b906a7a40b37a28be5b716a1dcb2ec2ef1bbb665f","observation_id":"41df8000-1b3d-41b7-afb6-365312201d0c","resolution":{"observed_at":"2026-08-12T00:18:31.239232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.02787/citation-record","integrity":"/paper/2501.02787/integrity","json":"/paper/2501.02787/citation-record.json","paper":"/paper/2501.02787"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.741711Z","title":"Enabling urban mmwave communications with UAV-carried IRS via deep reinforcement learning,","venue":null,"work_id":"a4fe0a94-aabe-4c7f-87d7-453388e934ea","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.001206Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:b6c5071867d6d5d6cecb8a3b8f6bd1467ab164907e89bff2645d26998fbd30ef","observation_id":"51380710-3a6a-42ed-b6a8-da956f1586b7","resolution":{"observed_at":"2026-08-10T22:09:52.748326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.718806Z","title":"On the road to 6G: Visions, requirements, key technologies, and testbeds,","venue":null,"work_id":"3aca11b3-d23c-4f6a-a39d-08baf1d0c48b","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.008588Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:048c3afa4d32e5d740ba3678667627f7c58e7e185fdf92cfb0a1ca1900b9d642","observation_id":"82bb295c-0c20-4f75-91a9-06b7b71be794","resolution":{"observed_at":"2026-08-10T22:09:52.724487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.700536Z","title":"Terahertz band communica- tion: An old problem revisited and research directions for the next decade,","venue":null,"work_id":"71817ff0-f5cf-4444-883c-33425ada4f59","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.016408Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:01078a1299529b0367c1fc65724ba7b64aa287d1f83c459b4ad94c8da4e45750","observation_id":"c75610d7-fd7b-4f4b-b43f-852f27d17399","resolution":{"observed_at":"2026-08-10T22:09:52.706042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.682054Z","title":"Beamforming technologies for ultra-massive MIMO in terahertz communications,","venue":null,"work_id":"dd9ba032-20ae-4a03-9c52-17b1608e2287","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.026822Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:29f6aa77b9c5e819a46ddaa49d08a2281a5a792fcc5c1e3a2ed256026a89bbb6","observation_id":"98c2f986-798b-40e1-bc58-9c8941425df6","resolution":{"observed_at":"2026-08-10T22:09:52.688234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.660186Z","title":"UAV swarm-enabled collaborative secure relay communications with time-domain colluding eaves- dropper,","venue":null,"work_id":"64b25bc8-ed9c-434c-b6a2-05fcb49bb6e1","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.034878Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:7ce43a196026adbf411945779a1236142b47f8b5f7905bc3a9f8fc335684f51c","observation_id":"cc23cdca-4940-40da-81cf-996f7f64af47","resolution":{"observed_at":"2026-08-10T22:09:52.666408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.630924Z","title":"Seamless handover in LEO based non-terrestrial networks: Service continuity and optimization,","venue":null,"work_id":"58369747-8261-4dc4-91f1-e1da2e9385cd","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.040812Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:bcf8b1d6d1771cdf2ccda49a6d467148026fae348431f4b9d56d03092dba6e3c","observation_id":"adca8272-a30b-4431-9d86-18b0ec51efc2","resolution":{"observed_at":"2026-08-10T22:09:52.643677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.604172Z","title":"Dynamic networking for continuable transmission optimization in leo satellite networks,","venue":null,"work_id":"3771bcc9-6295-451f-bfff-5e4df75889a8","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.049423Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:f72968e60d9189abdc3125963840b7ab944ba707684ad8c09ba89a89b0c0ef38","observation_id":"77b28c5f-a3ea-405b-bfdc-6ede84133994","resolution":{"observed_at":"2026-08-10T22:09:52.613494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.579351Z","title":"Intelligent reflecting surface- aided wireless communications: A tutorial,","venue":null,"work_id":"f1eb7357-1b6d-4d6f-bb23-5e281ddc9c8c","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.055008Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:3c09da8a5f64a19e61856bad757bf6c07a6d454589026da79908d7bb1052a105","observation_id":"3c401dc7-fb5d-409f-ac29-0f2fdc36ff60","resolution":{"observed_at":"2026-08-10T22:09:52.587978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.556989Z","title":"Exploring sum rate maximization in UAV-based multi-IRS networks: IRS association, UAV altitude, and phase shift design,","venue":null,"work_id":"a4d7f3b4-9ddf-490c-8ffe-7316739acf20","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.063068Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:d4afb3bf05277ab4ba8df8b8cc55e701ffff91aa52055c9eac288ff411e67686","observation_id":"15311dbc-6d5e-438e-8ca1-20181392a2a3","resolution":{"observed_at":"2026-08-10T22:09:52.564681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.500751Z","title":"UAV-enabled secure communica- tions via collaborative beamforming with imperfect eavesdropper information,","venue":null,"work_id":"4ff4b1f1-2c46-4ff1-bd72-257a0bb31aba","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.077741Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:ea11bf56f0008798946f9c8483c201a379f0c58d2843e412388b63a81b78087a","observation_id":"1247bb88-f94c-4cb7-af84-3bb04af8d149","resolution":{"observed_at":"2026-08-10T22:09:52.509965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.474885Z","title":"Physics-based channel mod- eling for IRS-assisted mmwave communication systems,","venue":null,"work_id":"b70e514e-f080-48b9-a449-aaf3eab0d671","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.084138Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:5696f58631ef5c5f1f3bafedcfc8d940ebe2938d6260a323beccba729115eaa3","observation_id":"e2a61d5e-ae5e-4e2f-95ce-dfe9dfced577","resolution":{"observed_at":"2026-08-10T22:09:52.482162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.451987Z","title":"Channel estimation for IRS-assisted mmwave massive MIMO systems in mixed-ADC architecture,","venue":null,"work_id":"3973d988-db25-405e-9de3-f5caefc7314e","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.090138Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:1233b492193b134aeca39a8001df96f80839402d37ea3833022cb4fdbbe2bf4e","observation_id":"4e03a1ca-286c-4138-a459-aeaa8867980a","resolution":{"observed_at":"2026-08-10T22:09:52.457616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.430805Z","title":"Integrated scheduling of sensing, communication, and control for mmwave/THz communications in cellular connected UAV networks,","venue":null,"work_id":"ac9af4e1-a07b-4311-89df-93128c9875b7","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.096635Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:dda3ff780f46ef20cec265a4d21bc91fd0e44ceff7574eeda2598f41fce3819e","observation_id":"469b7434-0e5f-4127-8e4b-6a69eccf8105","resolution":{"observed_at":"2026-08-10T22:09:52.438294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.407567Z","title":"A non-stationary multi-UAV cooperative channel model for 6G massive MIMO mmwave com- munications,","venue":null,"work_id":"7a3811db-fd49-4306-a610-8d4fc14ad675","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.103231Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:4d97587dc7ff87598fe5ba68b5bbb1054e53f3b717a56f1d76c27ebc45f47966","observation_id":"82e5f536-e37f-4e44-bc8a-7cbe633eafcf","resolution":{"observed_at":"2026-08-10T22:09:52.414638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.531176Z","title":"Spectrum and energy efficiency op- timization in IRS-assisted UAV networks,","venue":null,"work_id":"37ed5f4f-b087-41b1-a2b1-b88290fb5b90","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.108385Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:eaab2c6d3fdde3a371bf297c4ec76769a0d94962dcaccce9f6416067760b8079","observation_id":"af694eed-d715-4749-99e9-c58c138c7ea3","resolution":{"observed_at":"2026-08-10T22:09:52.542369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.383312Z","title":"Aerial intelligent reflecting surface: Joint placement and passive beamforming design with 3D beam flattening,","venue":null,"work_id":"6ba54b1c-81e2-49aa-bbc9-da3fec64b1f4","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.115233Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:2459c45d3d5b1980c918ea0f1ae085f2e557b79d8eedce712f5b90f2e7d9d6b9","observation_id":"b5e7ef74-a044-40d1-9c97-c98da1ff96f8","resolution":{"observed_at":"2026-08-10T22:09:52.392277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.359259Z","title":"Secure transmission design for aerial IRS assisted wireless networks,","venue":null,"work_id":"7d7f600f-9545-4048-8931-88e72cce3dcc","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.123081Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:9b28b49d98cbd9204b40fa09b3e3f702bbff697f545897f36d2a12a9f0a12a98","observation_id":"bfffb41c-65e3-47bc-9258-55498255f58b","resolution":{"observed_at":"2026-08-10T22:09:52.366968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.336356Z","title":"AoI and data rate optimization in aerial IRS-assisted IoT networks,","venue":null,"work_id":"e3687b0a-ae07-441e-8724-6a03b04561e2","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.131561Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:96bcc024be3a8d9a5af6ec4f745022ebfe32bfe94de14e640ea3ac287b6befe9","observation_id":"02765eae-4ece-4e43-8730-98e476d78205","resolution":{"observed_at":"2026-08-10T22:09:52.342466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.307472Z","title":"Sum-rate maximization for IRS- assisted UAV OFDMA communication systems,","venue":null,"work_id":"aa25f81c-e428-4981-a8bf-6e4cee06f094","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.140419Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:2a39f2f9b5c064228c0c17746e132f978e6645cdd74e8a4bde2470e8ae137bcc","observation_id":"d9ee53b3-e8e3-46af-a96c-daecb20e7336","resolution":{"observed_at":"2026-08-10T22:09:52.317790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.282515Z","title":"IRS-assisted secure UAV trans- mission via joint trajectory and beamforming design,","venue":null,"work_id":"ed91c1fd-79c0-44cf-90e3-07ad0add3e5d","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.149200Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:4561c914a3137adcd39ac46d7d0b29ce5b13a05a4f0fb1b70ea0f43a4441e799","observation_id":"27e9e6b0-f063-4def-8f53-28cbce63ed4e","resolution":{"observed_at":"2026-08-10T22:09:52.291259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.259604Z","title":"UAV-powered multi-user intelligent reflecting surface backscatter communication,","venue":null,"work_id":"12520f90-7517-422a-be8c-b44b0664eea6","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.155882Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:d10ed72e36ce22df8477c38c60f2b0bf93dff08a2e3b12592fc910eacd2f8fb6","observation_id":"da6a50a7-1f3f-4867-8995-858143d861fd","resolution":{"observed_at":"2026-08-10T22:09:52.266902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.241510Z","title":"Offline-online design for energy- efficient IRS-aided UAV communications,","venue":null,"work_id":"1e56e711-f328-41e8-9198-219c98c508e2","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.161823Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:ec7fd4adf2c5f478c68f1cd32878c008204a94271afafb5660cfc7433439700d","observation_id":"82f8f0b2-ab39-40db-9a15-de3f13e575be","resolution":{"observed_at":"2026-08-10T22:09:52.247342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.221200Z","title":"IRS-assisted cognitive UAV networks: Joint sensing duration, passive beamforming, and 3-D location optimization,","venue":null,"work_id":"4416efff-ec54-49b5-8783-341231290bd2","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.168525Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:bb1321e782188afdcdcd4adafc0f994d8bdf8c82ede13cfebe042dd7d1b32393","observation_id":"9fec42a0-1f43-4fea-b110-a61189a732d2","resolution":{"observed_at":"2026-08-10T22:09:52.226982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.202478Z","title":"A stackelberg game approach for IRS-aided WPCN multicast systems,","venue":null,"work_id":"2bc8fc7f-8db2-4c94-8bed-33f4fef5f8d8","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.175493Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:11c2f9ca75621281b1b3c36c66d2992719dfedca34f7b650a7299ee2050d0c9d","observation_id":"1ad9ad80-ca27-4283-a21f-44fd96d7758d","resolution":{"observed_at":"2026-08-10T22:09:52.208118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.181934Z","title":"Evolutionary multi-objective rein- forcement learning based trajectory control and task offloading in UAV-assisted mobile edge computing,","venue":null,"work_id":"dd1ed650-240c-45e5-a6f2-709d8ede5fc3","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.182186Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:7e9b0b59b9394866ec695b64a9cb23766f470bbd31becc0566c78aa12864fc8a","observation_id":"70e25745-6126-4087-b447-32a3b429c417","resolution":{"observed_at":"2026-08-10T22:09:52.189872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.160066Z","title":"Joint trajectory and passive beamforming design for intelligent reflecting surface-aided UAV communications: A deep reinforcement learning approach,","venue":null,"work_id":"dfd8f219-5201-4f8e-8583-a896b6230ef9","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.190591Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:0e80a318f04663488b6c5c423502c30ab3900265360dc0699075d6a42f0a1b8b","observation_id":"45c88c67-2be3-4c3f-86b9-340609ddb475","resolution":{"observed_at":"2026-08-10T22:09:52.167010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.140714Z","title":"Reconfigurable intelligent surface assisted multiuser MISO systems exploiting deep reinforcement learning,","venue":null,"work_id":"fac749c8-45ff-4a80-867a-7fb2bbc6fd26","year":2020},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.200842Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:d3ccae351eb1f0c3ff06b41bfbbebb8302d287668b2b89f4bea34d55c9e7f205","observation_id":"956255aa-ece6-4ef2-9b42-beba5fdf9327","resolution":{"observed_at":"2026-08-10T22:09:52.147554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.109596Z","title":"RIS-aided ground-aerial NOMA communications: A distributionally robust DRL approach,","venue":null,"work_id":"a8ced2e9-3b4a-4763-bc21-7ab50cb497ba","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.214687Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:ace4867bb72148464a179bfc72a7a4871b64dd6246753d4f71edebe25506eec3","observation_id":"d4ed9b32-4f44-4eeb-8bce-b0ad3d6b8d69","resolution":{"observed_at":"2026-08-10T22:09:52.122069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.081922Z","title":"Proximal policy optimization- based transmit beamforming and phase-shift design in an IRS- aided ISAC system for the THz band,","venue":null,"work_id":"a4b2b15a-0f93-4cc1-9694-1efeb28fa0c6","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.220692Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:2206f637adcd19b9b0e7698f53d50a7bf744fb08b6d32eefa2042d1f84d8e002","observation_id":"2a8e6e55-3daa-4c83-859f-0a195f96dbc2","resolution":{"observed_at":"2026-08-10T22:09:52.090521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.058382Z","title":"Trajectory and communication design for cache- enabled UAVs in cellular networks: A deep reinforcement learning approach,","venue":null,"work_id":"a363f0d6-6bb3-4f2c-951c-87156f0450ad","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.228695Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:1997e1b5dc68d0e5d8280f46ab3e80ed0374ef50ad30fbd5be5ceeb58891a37b","observation_id":"1170bca7-3755-4905-bd52-279320191325","resolution":{"observed_at":"2026-08-10T22:09:52.065248Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.033844Z","title":"Millimeter wave com- munications with reconfigurable intelligent surfaces: Performance analysis and optimization,","venue":null,"work_id":"5cabce99-fd83-44f3-b02d-82781c833b06","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.235163Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:e2e3965aebaaac0a21094abd515394b6414b4829057909d1f48efee37e5c8e45","observation_id":"d7e681b3-8b85-4424-b9f8-09fae9bf43e7","resolution":{"observed_at":"2026-08-10T22:09:52.041864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:52.011758Z","title":"Reconfigurable intelligent surface enabled interference nulling and signal power maximiza- tion in mmWave bands,","venue":null,"work_id":"319e60e8-71c5-45ac-8f08-f11aef123505","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.241228Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:fe1f151d5a48516dd9db88aac342bdcd1b1b9637a42177b72223de1388835fe2","observation_id":"36d136f5-a16c-4a95-a474-2cb4df288304","resolution":{"observed_at":"2026-08-10T22:09:52.018368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.979949Z","title":"Double-IRS assisted multi-user MIMO: Cooperative passive beamforming design,","venue":null,"work_id":"65b6f7ef-2ec7-426c-9f27-6ddd33370474","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.248310Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:d9ab019f07e082344e236fe52dcd9ed9e5fccffb9d177768f9ce12b3a7285c73","observation_id":"e3e6f01d-05ca-4e5f-9066-9a4726d2fc21","resolution":{"observed_at":"2026-08-10T22:09:51.986567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.952550Z","title":"Learning to reflect and to beamform for intelligent reflecting surface with implicit channel estimation,","venue":null,"work_id":"2592762c-8211-4203-88e2-268b98154bb7","year":1931},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.256228Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:593aeca204c33cfcc2aa0ee0df5533586910cdc06ba4b8b783d6d3c0b4eaabe4","observation_id":"5ebce379-33b6-4bd6-be44-7de0b3e76534","resolution":{"observed_at":"2026-08-10T22:09:51.960473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.916464Z","title":"Secure transmission design for aerial IRS assisted wireless net- works,","venue":null,"work_id":"03117558-bb3e-4da5-ae6b-a34f5f39343c","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.263659Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:49d367b8503a95b84c1ad57dbdb91a1586a9db087e2f03a7b4a59a59e12aeb22","observation_id":"7f8e7c77-57be-4939-8eb0-a335b89906b0","resolution":{"observed_at":"2026-08-10T22:09:51.926260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.890402Z","title":"A quantitative mea- sure of fairness and discrimination,","venue":null,"work_id":"a439e5e7-74ef-432f-b5d2-dbd7c72a03e8","year":1984},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.271167Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:d87d01e400720a904c8662fb799a3f6836c4b9030b48e9dff8bbd21b848980f6","observation_id":"927b1174-95df-4250-953b-c2ffc1a03fdd","resolution":{"observed_at":"2026-08-10T22:09:51.900263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.866349Z","title":"Service continuity based data delivery optimization in satellite-terrestrial networks,","venue":null,"work_id":"69210816-33f6-49f3-8eac-8e6758e55c66","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.279754Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:9c8d6657b0279d17203ff85cb35cce3749597c26f393c4fbd762e0f6a8646b5d","observation_id":"b2b60f59-36b7-4dcd-8d91-84720c01dd1e","resolution":{"observed_at":"2026-08-10T22:09:51.873190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.32988","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.547470Z","title":"Multi-objective opti- mization for UAV swarm-assisted IoT with virtual antenna arrays,","venue":null,"work_id":"a9cbc1e4-8a95-436e-b534-a3d7cfbbf6bc","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.286378Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:b5be9e17f3412d86fdbf5bbcd7eddb3546b97b153947d0d696ab40f64cda5682","observation_id":"99f2ffa4-fab8-4e0c-8ee5-2f892eda7a0e","resolution":{"observed_at":"2026-08-10T22:09:51.564866Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.828753Z","title":"Hpfl-cn: Communication-efficient hierarchical personalized federated edge learning via complex network feature clustering,","venue":null,"work_id":"29af5b30-c44d-44ed-8966-30f32520c6e3","year":2022},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.292550Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:12b8ed8f16877a657d0fc9107df94c2494754166a547181accaac0ad563f41fc","observation_id":"d140ffcb-2a8e-4efa-a017-d7003cd6b2a0","resolution":{"observed_at":"2026-08-10T22:09:51.837476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-08-20T07:04:06.309989Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-10T22:09:51.298774Z","title":"Proximal policy opti- mization algorithms,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.298774Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:f9dd1b77dea1a94fac9487dbe696b78551761a8f2f85280a7647b217e183ec82","observation_id":"daeb179e-ad85-4874-8cef-5cf123e38dde","resolution":{"observed_at":"2026-08-10T22:09:51.298774Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.800849Z","title":"Neural episodic control with state abstraction,","venue":null,"work_id":"0381d569-e534-4dad-ac22-06d5effce604","year":2023},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.305835Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:ba75fbc8ead5ab623c6a0dc65687511440f75b7442454ee74ba539a614752daf","observation_id":"38462cfc-7f4d-46b9-8f86-1cb7f831ba38","resolution":{"observed_at":"2026-08-10T22:09:51.808245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.775215Z","title":"Mogrifier LSTM,","venue":null,"work_id":"4856a048-6e90-428d-af5a-7b018d242e9a","year":2020},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.311280Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:6add5422399b0955f2866f171a86315dbaf6336718f8d249ab7a67d2edad3e3d","observation_id":"e1f1e92d-dfcb-44ff-940f-f5730c1a4592","resolution":{"observed_at":"2026-08-10T22:09:51.784785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.750340Z","title":"Inte- grated localization and communication for IRS-assisted multi-user mmwave MIMO systems,","venue":null,"work_id":"575347fe-2362-4d18-85dc-919ec6956dd6","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.317802Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:4f24b3a87ce32c0d855628072e5a28c76caad6b7c98d61b25e4fce6edd0c95ee","observation_id":"20ecbc7f-147b-4e68-911b-a4c35afc2685","resolution":{"observed_at":"2026-08-10T22:09:51.757051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.718634Z","title":"Joint beam training and positioning for intelligent reflecting surfaces assisted millimeter wave communi- 15 cations,","venue":null,"work_id":"cb09abc5-a892-4c04-a25c-d29ba0dc4f69","year":2021},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.324569Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:4967eb5e8e243e2fec1df1578bda859e721cd845fd0df126c345e4b3a12adfd3","observation_id":"3e056057-fbda-4c93-97fc-5a73a3217521","resolution":{"observed_at":"2026-08-10T22:09:51.726409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.677340Z","title":"IRS-enabled monostatic backscat- ter MIMO communication design for V2I networks,","venue":null,"work_id":"9fb88e68-b4dd-4bd4-b292-83f55d859f84","year":2024},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.333310Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:ca34cbf250046132d3afa3ee0d758f39cca1c06231def17ec0a75e37a9795c44","observation_id":"78aec448-4e13-4779-bac6-0b7ea0932297","resolution":{"observed_at":"2026-08-10T22:09:51.685263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.628819Z","title":"Continuous control with deep reinforcement learning,","venue":null,"work_id":"f80183fb-6c2a-45d9-89b3-2d1dd8bbae68","year":2016},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.341080Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:a2e86948c23618daf676eb17a336579b5f405833c170e6b45bb5bb25df85d2cb","observation_id":"ec06df81-9239-4fba-baed-79f7db893019","resolution":{"observed_at":"2026-08-10T22:09:51.636359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.604600Z","title":"Addressing function ap- proximation error in actor-critic methods,","venue":null,"work_id":"c202d57c-dcb3-40f1-86dc-5c40db57d115","year":2018},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.347737Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:542433e23651404e43ede71d30abf6f356c245901a11da21f3ddad66334659c3","observation_id":"18821a4c-72df-416b-8450-05ff6bf1e580","resolution":{"observed_at":"2026-08-10T22:09:51.613143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:51.582945Z","title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,","venue":null,"work_id":"4ff02755-894c-4744-ada4-0347acf85402","year":2018},"citing_paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:09:51.358782Z"},"links":{"citing_paper":"/paper/2501.02787"},"observation_digest":"sha256:60e85d9b670710513aef61b66ad04e2157c64a05b396810910d1bf2a19a42991","observation_id":"747b5d86-db64-4bf9-a38b-9efd8aa9c981","resolution":{"observed_at":"2026-08-10T22:09:51.590594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.02787","last_updated":"2025-01-06T06:05:14Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-13T08:37:44.664763Z","submitted_at":"2025-01-06T06:05:14Z","title":"Joint Optimization of UAV-Carried IRS for Urban Low Altitude mmWave Communications with Deep Reinforcement Learning"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":46},"total_outbound_references":48},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 4 inbound Pith citation observations for arXiv:2501.02787."}