{"as_of":"2026-08-05T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:caf8492ad963f92fc4de7a9b34b8f4b44bf04b32b29c1e4271900cbfdeb7d6c2","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T17:38:35.614870Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2605.26471/citation-record","integrity":"/paper/2605.26471/integrity","json":"/paper/2605.26471/citation-record.json","paper":"/paper/2605.26471"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.348735","doi":"10.1109/tnsm.2024.3487357","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Holistic service pro visioning in a UAV -UGV integrated network for last -mile delivery,","venue":"IEEE Transactions on Network and Service Management","work_id":"4adb7711-1692-48d5-831b-04c3bbb2a5c9","year":2024},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:35ce7ad0b4e51ea69a504852ef570d79e7a4b935796893aca01838396cabc94c","observation_id":"79aa7e19-1575-4755-8ec7-7be62e2ac21b","resolution":{"observed_at":"2026-06-29T17:43:45.084511Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.356287","doi":"10.1109/jiot.2025.3562872","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Multi -UAV-enabled energy-effici ent data delivery for low -altitude economy: Joint coded caching, user grouping, and UAV deployment,","venue":"IEEE Internet of Things Journal","work_id":"0d5015d6-fcb1-4d3b-b360-417886c08fd2","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:003d9b71d83ebff90c4080d1dde8c9c5ac482a76c3c61518df7b80743b72cd5b","observation_id":"7f39e5d5-a437-49dc-afb6-54903642b376","resolution":{"observed_at":"2026-06-29T17:43:45.087235Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/lra","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T09:34:47.869876Z","title":"Falanga, S","venue":null,"work_id":"c94bd22b-7fd4-49cd-a6c1-0618e1f2f7e0","year":2023},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:c13323336213ca8d2b2d4d97b7621d8f79444695531d50645db6720a4a552047","observation_id":"a7fc53cc-6b2b-4856-b1af-0701a6d6351f","resolution":{"observed_at":"2026-06-29T17:43:45.100201Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10846","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.101758Z","title":"Long et al","venue":null,"work_id":"30040c0c-ec3f-4867-839e-438abe241e10","year":2023},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:03fc63d514e721ff71760ff23ea166aa97bd8ce5be5a4533bc0d7c1e3fe1ce14","observation_id":"4fd351e2-57a3-4db6-ba6a-ef46c5f1406c","resolution":{"observed_at":"2026-06-29T17:43:45.102971Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-22T19:53:17.649768+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-22T19:53:17.649768+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.23919/csms","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.075129Z","title":"Review of dynamic task allocation met hods for UAV swarms oriented to ground targets,","venue":null,"work_id":"3f8ff393-0717-4d77-888f-7ffb6516a78b","year":2021},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:79e56ab2bea8081af0a09bdcb0bdd822f7e40506e0c956406292defdea202270","observation_id":"524771f8-be56-4984-bdf2-318c74c0322d","resolution":{"observed_at":"2026-06-29T17:43:45.076367Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/ti","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.097181Z","title":"Bi -level optimization framewor k for urban low-altitude UAV delivery ensuring target level of safety,","venue":null,"work_id":"f3f6b747-6192-40e8-845b-653558dd4f82","year":2026},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:dc259cb548d212818c4b2aa1a9be32cd3365af39255eb0e420bf519390f1ce73","observation_id":"bce09778-45e4-4911-9e7f-c775a0f644b4","resolution":{"observed_at":"2026-06-29T17:43:45.098399Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.318432","doi":"10.1109/tase.2022.3184324","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Urban on -demand delivery via autonomous aerial mobility: Formulation and exact algorithm,","venue":"IEEE Transactions on Automation Science and Engineering","work_id":"07bd4cc5-7022-4b4c-a61d-604e1caa397a","year":2023},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:6a2d4f65d21687b48de3ba3ea291921ac22cad1b0396afee3130cbb311cb406f","observation_id":"bea98606-42d7-4213-8f84-3deabf0a4eaa","resolution":{"observed_at":"2026-06-29T17:43:45.071697Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.103888","doi":"10.1016/j.ipm.2024.103888","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Crowdsourced auction - based framework for time -critical and budget-constrained last mile del ivery,","venue":"Information Processing & Management","work_id":"ae86d34f-ab9f-4e07-bdbe-c119046175ee","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:8a89888e0b1758691de2b84d513d686e072c64832b7a2661d6da2a5b3929d862","observation_id":"e10fe525-816b-4500-832f-a4e5c9f02705","resolution":{"observed_at":"2026-06-29T17:43:45.079189Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2021.107054","doi":"10.1016/j.ast.2021.107054","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Aerospace Science and Technology","work_id":"10cb4dc4-094b-443b-b38d-dd83b78ee8ab","year":2021},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:48230468790799b5dfd58a39fd75fc7210b62e1e560aac03a49bfa701cf47080","observation_id":"4328d9d2-365f-4326-a2df-8ec2c804c404","resolution":{"observed_at":"2026-06-29T17:43:45.073716Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.35626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T18:03:48.380864Z","title":"Collaborative task allocation fo r large-scale heterogeneous UAV swarm: A hierarchical coalition for mation game method,","venue":null,"work_id":"1d76fe98-5d3a-4448-ba24-81e291aa40d5","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:4c6793dadc5d0e5b868025f778f3e45321a4c3c18fbc4f3dada9cefa57bc7cfc","observation_id":"bc16608c-83f6-47bb-9147-2e4f85f6f399","resolution":{"observed_at":"2026-06-29T18:03:48.382255Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2026.366796","doi":"10.1109/tits.2026.3667967","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cooperat ive task allocation and path planning for multi -UAVs in low-altitude u rban intelligent transportation systems,","venue":"IEEE Transactions on Intelligent Transportation Systems","work_id":"0558b641-9098-4013-9e64-c854228717a1","year":2026},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:7d3245aaecc051a43e0944ce772bfa4092b084526e29d42042489dac4dd9ef7b","observation_id":"ad240bde-0acf-4624-b356-30bc3abced0d","resolution":{"observed_at":"2026-06-29T17:43:45.081788Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.trc.2026.10","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.103600Z","title":"Coalition -based facility location optimization for urban UAV logistics,","venue":null,"work_id":"143a853d-9ad8-443f-8bd4-6371689d4a2f","year":2026},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:e2d017f9fc753b034629083b347a2800ca5782d93c8eae97c4cf98b35ee3c7c7","observation_id":"aa53173c-fbf2-4e07-a579-548d8fa4ffb4","resolution":{"observed_at":"2026-06-29T17:43:45.104883Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tvt.2025.35","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.060420Z","title":"Joint UA V deployment, power allocation, and coalition formation for physical l ayer security in heterogeneous networks,","venue":null,"work_id":"f21690a0-5908-45fb-81c4-85ad7321afff","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:71d3fbfc9e2c3bec703bf65a1dda145f73ef56fa3dff456f28f1a728c3a6dffd","observation_id":"316e6f6a-7821-4fc1-80ff-a1da32c6c58b","resolution":{"observed_at":"2026-06-29T17:43:45.061934Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.340633","doi":"10.1109/jiot.2024.3406336","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A heuristic task allocation metho d based on overlapping coalition formation game for heterogeneous U AVs,","venue":"IEEE Internet of Things Journal","work_id":"2eada496-77af-4210-ac04-3e5c02a75d9d","year":2024},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:694293a25c3f640d77dd02bac1ca3aa25de669d5188fb37a415fb939285b4141","observation_id":"97be421b-3695-4f29-8107-49eee0a181ed","resolution":{"observed_at":"2026-06-29T17:43:45.068145Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tmc.2022.31","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.058857Z","title":"A task -driven sequential overlapping coalition formation game for resource allocati on in heterogeneous UAV networks,","venue":null,"work_id":"a39abc31-c53b-4906-b482-8d5124611d01","year":2023},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:c79b1b9dbc8bb56a77a2e7abac56905d6569abda9e05af9937f642783e1b925e","observation_id":"793ba7be-202b-4c8b-ac70-ae82f00718f5","resolution":{"observed_at":"2026-06-29T17:43:45.060153Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2024.342737","doi":"10.1109/jstsp.2024.3427371","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DDL: Empowering delivery drones with large -scale u rban sensing capability,","venue":"IEEE Journal of Selected Topics in Signal Processing","work_id":"a72dd612-9ef1-4b81-b9d3-08bf57fd4fb4","year":2024},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:b1516f4651e3d32539f2301658b82815eb224d2a4f10019c6a33824d2893b599","observation_id":"d9a43e0f-5b35-4ed8-b6d3-038b4503a7fc","resolution":{"observed_at":"2026-06-29T17:43:45.069112Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.363443","doi":"10.1109/tmc.2025.3634430","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cooperative air-ground instant delivery by UAVs and cr owdsourced taxis: Joint UAV station deployment and delivery schedul ing,","venue":"IEEE Transactions on Mobile Computing","work_id":"0dcf42e6-9464-4a06-9e34-c402ab9505c6","year":2026},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:0da9469dddf0202c145e9ff4edff3f94d2f5650523f341e0f450f1d719c0eca3","observation_id":"3d64658d-16d8-4742-82fa-9258d5e0a0fa","resolution":{"observed_at":"2026-06-29T17:43:45.064705Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.358427","doi":"10.1109/jiot.2025.3584277","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Centralized task allocation for multiple UAVs in time -cons traint industrial IoT operations,","venue":"IEEE Internet of Things Journal","work_id":"ba029e7f-2aef-4356-a4a8-0a7938d366ca","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:1ce85777d88a94c04c7a7e4313d10cb5f881376c9d12637ef238eb8aeb26f180","observation_id":"86ef0fc1-2d0d-4786-bcf9-8b3aae11b439","resolution":{"observed_at":"2026-06-29T17:43:45.079382Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2022.322819","doi":"10.1109/tvt.2022.3228198","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Multi -agent reinfo rcement learning-based coordinated dynamic task allocation for hetero genous UAVs,","venue":"IEEE Transactions on Vehicular Technology","work_id":"f8d6dc28-d4ab-42b6-b7fa-b5b23ec98388","year":2023},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:b1d4c851a5696b021827e17c94833395368b9b3bb6adff93a500fcd32ce9d72e","observation_id":"ef7e140e-e8c7-4211-ae82-b7d8a76626f0","resolution":{"observed_at":"2026-06-29T17:43:45.074599Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.ast.2019.06.024","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Fast task allocatio n for heterogeneous unmanned aerial vehicles through reinforcement l earning,","venue":"Aerospace Science and Technology","work_id":"43fcee2e-3d5f-4aac-8c11-31c212229373","year":2019},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:35454b32b7aaac0c59e77729e7749220eadacab0d28444a297d8c82b55dbd4e7","observation_id":"6200b2f9-4068-4b57-8f87-363e6a9db06f","resolution":{"observed_at":"2026-06-29T17:43:45.107043Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.301600","doi":"10.1109/access.2020.3016009","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Energy efficient task cooperation for multi -UAV netw orks: A coalition formation game approach,","venue":"IEEE Access","work_id":"4b806703-f5cc-44b7-9327-9b43085c51b3","year":2020},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:4f4d025f51ad0332faed9d41a2a2c406fd11f55e5af7dbca8389677378506e43","observation_id":"1003c854-3c99-4e43-bcf6-b70846e030dc","resolution":{"observed_at":"2026-06-29T17:43:45.058321Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tsmc.2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.051190Z","title":"Differential flatness -based fast tr ajectory planning for fixed -wing autonomous aerial vehicles,","venue":null,"work_id":"189798d5-0072-48db-9baf-7553db989aa0","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:90b632597cac62bc8684ac07f3f2ee169efe0a5a04d3aef7d0dcad09eb7f738c","observation_id":"b56c05de-79e3-41c9-9b94-bf79faf99aec","resolution":{"observed_at":"2026-06-29T17:43:45.052458Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2020.302531","doi":"10.1109/twc.2020.3025316","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Joint task assignment and spectrum allocation in hetero geneous UAV communication networks: A coalition formation game -t heoretic approach,","venue":"IEEE Transactions on Wireless Communications","work_id":"ab994597-ed76-4144-8cae-42b00b5234b2","year":2021},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:0698f5a40cb84086e6ba6b0c47e7b63242fa9589c74d8c5e3da0d5ebf92b4830","observation_id":"9900b2fd-e5bc-4f49-b4fd-b6558d821503","resolution":{"observed_at":"2026-06-29T17:43:45.102775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.353220","doi":"10.1109/tmc.2025.3532204","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Hybrid transformer based multi - agent reinforcement learning for multiple unpiloted aerial vehicle coor dination in air corridors,","venue":"IEEE Transactions on Mobile Computing","work_id":"3b857382-fcd0-4a7d-b4a5-1dfef4fd4673","year":2025},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:27abc146be07992859ef6e72a54d2612fa2ac07be908552304d8194e5cda01a8","observation_id":"d9389c98-998c-4f7e-8d73-6bc0ad179b43","resolution":{"observed_at":"2026-06-29T17:43:45.094374Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:38:35.614870Z","title":"Training stochastic model recognition algorithms as net works can lead to maximum mutual information estimation of paramet ers,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:7f390f277d9934688d1e0692b3afb74017186389868c39635db4e0755c9eae15","observation_id":"b7cfa373-8813-4fbe-8f4f-5daf63ec73d6","resolution":{"observed_at":"2026-06-29T17:38:35.614870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05905","last_updated":"2019-01-29T12:10:47Z","snapshot_observed_at":"2026-08-01T15:24:35.515954Z","submitted_at":"2018-12-13T04:44:29Z","title":"Soft Actor-Critic Algorithms and Applications","version":2},"cited_work":{"arxiv_id":"1812.05905","doi":"10.48550/arxiv.1812.05905","metadata_source":"pith","pith_arxiv_id":"1812.05905","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Soft Actor-Critic Algorithms and Applications","venue":"cs.LG","work_id":"bb49c9fb-03b2-4226-9edb-50186b8193e4","year":2018},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"cited_paper":"/paper/1812.05905","citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:3a85c30c0cca65e072a92537eb7fe15b3dc45d5d7c49ac3f4bbd007c217c719c","observation_id":"2f4f78f1-c0fa-4fbf-8729-9d23ad3aec25","resolution":{"observed_at":"2026-06-29T17:43:45.091597Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-09T09:49:21.584701+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T09:49:21.584701+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.334359","doi":"10.1109/jiot.2023.3343590","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"UAV-assisted real-time video transmission for vehicles: A soft actor –critic DRL approach,","venue":"IEEE Internet of Things Journal","work_id":"db24bbc1-3d76-41b4-8da7-1d0ac794cf61","year":2024},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:cc5cb8bedda78b43eaa683d7c4e38c32d189a1d3dd12f519fe4d72a4dd3cb821","observation_id":"f2e2664b-5c81-47c1-acc1-5a1c4223150f","resolution":{"observed_at":"2026-06-29T17:43:45.097032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:38:35.614870Z","title":"Principles of tabu search,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:cc596bc6856840a3d906bdefebc0de5aaa082d890f80146dd7d8d747c7e1a333","observation_id":"07b03fbc-c094-4732-aefe-d7bd27b889db","resolution":{"observed_at":"2026-06-29T17:38:35.614870Z","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":"10.1006/ga","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.065281Z","title":"Potential games,","venue":null,"work_id":"33c0b2f8-604f-4425-ac95-1476641dd81a","year":1996},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:c0c7521c985a4268cb9ec60b5e6ae24a7d8e87ca7f9f04088838f210bae6ac23","observation_id":"2bd00c2d-956e-447b-b335-aa53c8afad27","resolution":{"observed_at":"2026-06-29T17:43:45.066472Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.123023","doi":"10.1016/j.eswa.2023.123023","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Cooperative task allocation with si multaneous arrival and resource constraint for multi -UAV using a gen etic algorithm,","venue":"Expert Systems with Applications","work_id":"6552b3d2-b84c-49ed-b52b-fa513d144401","year":2024},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:9421f07b072c4f64e0eb211b22edf73176ba1409613468be58ee652fa1707b8b","observation_id":"94708649-ec74-47a4-a029-4d879d013454","resolution":{"observed_at":"2026-06-29T17:43:45.101220Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tvt.2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T17:43:45.097522Z","title":"A two -stage game framework to sec ure transmission in two -tier UAV networks,","venue":null,"work_id":"1530d00b-ab5f-449f-b01d-80808264d18f","year":2020},"citing_paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-29T17:38:35.614870Z"},"links":{"citing_paper":"/paper/2605.26471"},"observation_digest":"sha256:60cf1d2e0107de5e0b7aecf3b93a2a3b2cdc924150f5e0c0ca23aa54df90ca89","observation_id":"9a80353e-b318-45fd-9773-cc5915b65676","resolution":{"observed_at":"2026-06-29T17:43:45.098664Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.26471","last_updated":"2026-05-26T02:28:36Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-03T13:18:44.656364Z","submitted_at":"2026-05-26T02:28:36Z","title":"Heterogeneous AAV Logistics Task Allocation: A Reinforcement Learning Enhanced Overlapping Coalition Formation Game Approach"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":5,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":2,"verified_exact":22,"verified_fuzzy":0},"total_outbound_references":31},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.26471."}