{"as_of":"2026-08-14T16:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:08240e11418a6947f1be9cae70c4fe9b105d54a16710696f2a93196dcfae218d","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:24:10.953212Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2507.05722/citation-record","integrity":"/paper/2507.05722/integrity","json":"/paper/2507.05722/citation-record.json","paper":"/paper/2507.05722"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:24:14.307206Z","title":"Regional-centralized content dissemination for eV2X services in 5G mmwave-enabled IoV,","venue":null,"work_id":"21c7981b-c516-4631-8684-211461b709e2","year":2020},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:09.542327Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:f6a59d4a451cc4bc6ea537010ef4883868dd4bf965b5f553f09960ab65afd453","observation_id":"1c696dd0-8dd5-40cf-a8f5-1841716e2840","resolution":{"observed_at":"2026-08-06T19:24:14.359204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:14.175959Z","title":"V e hicular communication networks in the automated driving era,","venue":null,"work_id":"b313ae82-4c4f-4704-8aab-b77f2589fa40","year":2018},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:09.624389Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:560d2211ab4ae161fdfac73e8e7c2eb795de170aa353c47e7b11bf52e3e15ec6","observation_id":"0b38f754-3f87-46d8-b7b6-36a9f747985c","resolution":{"observed_at":"2026-08-06T19:24:14.244410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:14.036001Z","title":"Generative AI-e nhanced cooperative MEC of UA Vs and ground stations for unmanned sur face vehicles,","venue":null,"work_id":"e7f15947-2728-4a83-83f4-75f9fb3fdb0a","year":2025},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:09.705771Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:2d5d3f87595628dced6eebf6c60e1b8e278b451c5c60125685edd82c1d5e5120","observation_id":"075f909f-e37e-44c7-ad84-596cb8d02415","resolution":{"observed_at":"2026-08-06T19:24:14.118775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:13.879675Z","title":"An UA V-enabled inte lligent connected transportation system with 6G communications fo r Internet of vehicles,","venue":null,"work_id":"4961ba7c-aaad-446f-acc9-6b7121ed2fd2","year":2023},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:09.818231Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:97f2bf3c7d6e5394d6c39820225eb2813324145149406cb6585f162a26ccf1f0","observation_id":"5c2ce9a2-4d15-4bd9-b56a-87198e016226","resolution":{"observed_at":"2026-08-06T19:24:13.967098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:13.707477Z","title":"U A V- assisted vehicular edge computing for the 6G Internet of veh icles: Architecture, intelligence, and challenges,","venue":null,"work_id":"aa44364a-d100-4983-aef3-88085fb85a4c","year":2021},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:09.940748Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:e39df67c2dd5e450a4faa0a9bfe62da128ea047547edc21e4b3c1e62e67da1e1","observation_id":"ba938e9c-f99c-4ecc-97bc-a8cb5c2601ce","resolution":{"observed_at":"2026-08-06T19:24:13.804202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:13.437930Z","title":"Co- operative cognitive dynamic system in UA V swarms: Reconfigu rable mechanism and framework,","venue":null,"work_id":"05135c92-ebc4-4c9d-9c89-db39fb367c9c","year":2024},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.084324Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:7d603254995ded8f1691be84c16f3a15697d850b93c0d797021ca25efc795056","observation_id":"3c30f80f-53fe-4f86-b7fd-07d938f6087b","resolution":{"observed_at":"2026-08-06T19:24:13.568541Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:13.211533Z","title":"Adaptive qoe-aware sfc orc hestration in uav networks: A deep reinforcement learning approach,","venue":null,"work_id":"ab27206f-aaaf-427e-a77a-12d375037031","year":2024},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.167960Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:54259616805262beef14c8ca78e3ee556963cc6a859c7e448da86569aacb0637","observation_id":"a78ba0ee-990b-4f70-8650-7a30ed4aca4e","resolution":{"observed_at":"2026-08-06T19:24:13.323732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:12.989624Z","title":"Distributionally robust optimization for aerial multi-a ccess edge computing via cooperation of UA Vs and HAPs,","venue":null,"work_id":"623031b0-8d18-457f-b272-74235ef87f9b","year":2025},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.247053Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:a3fc904dcbd3b503b4a61c29faf2e6355b4641bc8fd8f9b35dd8175b5c01549f","observation_id":"d9939c82-e4c7-4b7f-b09e-ae38b547d5b4","resolution":{"observed_at":"2026-08-06T19:24:13.085240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:12.771812Z","title":"Flexedge: Digital twin- enabled task offloading for UA V-aided vehicular edge comput ing,","venue":null,"work_id":"7f0d6d69-91e5-4d2b-a4c5-688b290ff71a","year":2023},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.315251Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:3dd6580055a6f1ff6ea08fae268d8fb901313ad715c8234f9bd5826f529ea75e","observation_id":"dd3da994-488b-4ae4-a5a6-fbf0888f4683","resolution":{"observed_at":"2026-08-06T19:24:12.875558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:12.434984Z","title":"Joint task offloading and resource allocation in UA V-enabled mobile edge computing,","venue":null,"work_id":"7ce07a2d-56b3-4bba-986f-05678aace39b","year":2020},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.370971Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:d7ac4745c9f32c3f9ced1f5dc471a9ed389d2e65c91e0e2dd4743ef7dc163235","observation_id":"d8bee9f3-17ca-4459-94d1-ab09505f00c6","resolution":{"observed_at":"2026-08-06T19:24:12.567537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:12.185846Z","title":"Energy-efficient resource management in UA V-assisted mobile edge computing,","venue":null,"work_id":"c62a7235-40f7-4aa4-9ebc-17ffd4a98e8d","year":2021},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.428096Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:8482f7255c3d1e1d4ed6003a4ab01f54afcbe9bccd4edd30774262baf3b75a9f","observation_id":"30742234-89da-4206-a8c1-edeba8c3fef4","resolution":{"observed_at":"2026-08-06T19:24:12.313487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:12.030567Z","title":"Service function chain dynamic scheduling in space-air-ground int egrated networks,","venue":null,"work_id":"417743af-fcfc-4e96-9ff1-5ec1feab0e6d","year":2025},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.495009Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:5a94bc1cf157bc7196bb5305198c61eccb7abb26a82483782277bc270d7f2d09","observation_id":"050b3320-86dd-406e-9669-f58ec8cc65b4","resolution":{"observed_at":"2026-08-06T19:24:12.093465Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.897784Z","title":"UA V-assisted task offloading in vehicular edge computing networks,","venue":null,"work_id":"600ade7b-5b96-4940-8f80-c00ed0b8d565","year":2024},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.568978Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:c707e4315511d7c6d1e0da8f38bc8a6f1714376b86067db5832b6e6277ec003a","observation_id":"7d8223df-d651-4e90-9ff0-79ace63aad71","resolution":{"observed_at":"2026-08-06T19:24:11.942742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.753825Z","title":"Deep reinforcement learning based resource management for multi-access edge computing in vehicular ne tworks,","venue":null,"work_id":"221848e7-9f8b-4772-8bf1-ecc9d9e194c0","year":2020},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.628540Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:6aca45f8179f2162f5068873b6b660dad1cc3fb9154bd116e86551a09b519e78","observation_id":"b5ec2e6e-1d7c-46fd-97b0-045f75294828","resolution":{"observed_at":"2026-08-06T19:24:11.822265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.598546Z","title":"UA V-relaying-assisted multi- access edge computing with multi-antenna base station: Offl oading and scheduling optimization,","venue":null,"work_id":"da18e674-c7fb-40f3-a98d-f4ceb1a8b938","year":2021},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.700336Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:5503b8d08524871eccfa20b9d2b7da560315e8f51ab6f696225bcb346ebd0ab0","observation_id":"3aa0e397-74e8-4f8e-9679-ea95f40ee7e4","resolution":{"observed_at":"2026-08-06T19:24:11.686080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.440456Z","title":"A survey on channel soundin g technologies and measurements for UA V-assisted communica tions,","venue":null,"work_id":"3b37033b-4c28-49a9-824b-36e3a56c6066","year":2024},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.782579Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:034a3c982c67c6950095bd9982f15eb38aaa038dbadf96acf94954f3d5a48239","observation_id":"46b31bf2-f257-428d-82fe-f8cecae826cb","resolution":{"observed_at":"2026-08-06T19:24:11.514380Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.285498Z","title":"Sparse bayesian learning-based hierarchical cons truction for 3d radio environment maps incorporating channel shadowing ,","venue":null,"work_id":"d709dbf3-604a-403f-9330-cc54f058d7a0","year":2024},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.850477Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:121298d9aed9831cc3f56f54cf74b5a3d6c094e9f7502f62c1bdc483675a063a","observation_id":"18c0dca8-2792-48e1-9298-b22a6e3377cc","resolution":{"observed_at":"2026-08-06T19:24:11.348633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T19:24:11.099130Z","title":"Hierarchical aerial computing for Internet of things via cooperation of HAPs and UA Vs,","venue":null,"work_id":"d96b6ed4-03e9-462e-9495-624f2ea170ce","year":2023},"citing_paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:24:10.953212Z"},"links":{"citing_paper":"/paper/2507.05722"},"observation_digest":"sha256:450f180298a16af1c1da8f28a0c963edbb6afd74473480239096eb6e5bbde7af","observation_id":"4da59e62-3a50-4bd4-961d-4b2dbf40412f","resolution":{"observed_at":"2026-08-06T19:24:11.181579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.05722","last_updated":"2025-07-08T07:10:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T17:29:20.032658Z","submitted_at":"2025-07-08T07:10:52Z","title":"Hierarchical Task Offloading for UAV-Assisted Vehicular Edge Computing via Deep Reinforcement Learning"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":18},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.05722."}