{"as_of":"2026-08-17T23:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:235dca989e50d9f5633ffd8c39e4dd7fee47246a1dbd3f280573f6af6219c0b1","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T00:19:10.186642Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.26279/citation-record","integrity":"/paper/2607.26279/integrity","json":"/paper/2607.26279/citation-record.json","paper":"/paper/2607.26279"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:07.648286Z","title":"Washington, DC: U.S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:07.648286Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:bd27fa559eb08e11f7215a9b2af4bb0eaf223a1dec5381508e4331781e45dd94","observation_id":"bfd7d3d8-f709-4e15-9809-c7846c02a852","resolution":{"observed_at":"2026-08-01T00:19:07.648286Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:07.716096Z","title":"Efficient evaluation functions for multi- rover systems,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:07.716096Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:7f2d2c07c87f47aaf9928028f2263bb953fa304bf59f3b8864d7abf7532cf78e","observation_id":"e98194db-bffd-454f-9adc-8c6a8c1becc2","resolution":{"observed_at":"2026-08-01T00:19:07.716096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:07.961490Z","title":"Cooperative coevolution: An architecture for evolving coadapted subcomponents,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:07.961490Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:1af25b068ee6d067bb088e4130cdbe2d630a7a597e99a0c9c3636f660e3020b7","observation_id":"db52e625-c50b-494c-aeae-4f22fae74cea","resolution":{"observed_at":"2026-08-01T00:19:07.961490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.136088Z","title":"Environment driven dynamic decomposition for cooperative coevolution of multi-agent systems,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.136088Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:806bf80606e074d9af8bf3595514908e8385b405eb910c7d5a046733158a2676","observation_id":"abb80cf6-25aa-46db-8b66-40e15d63a6aa","resolution":{"observed_at":"2026-08-01T00:19:08.136088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.333642Z","title":"Learning autonomous ma- rine behaviors in moos-ivp,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.333642Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:86ff39c579ac6793e6f06bfecb406ee1dd47a1d339fe8a234d5f89e4ef0e04b6","observation_id":"7ee88a7f-77c8-41b2-a88f-6ada81548d92","resolution":{"observed_at":"2026-08-01T00:19:08.333642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.514240Z","title":"Data-driven performance-prescribed reinforcement learning control of an unmanned surface vehicle,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.514240Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:bb2fe9ac52e3aa5c1e72aaef629ee2a9c70708a68852a09df3e94058791a902f","observation_id":"0ab3a61c-5742-430c-9dcb-551a42e367bd","resolution":{"observed_at":"2026-08-01T00:19:08.514240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.634581Z","title":"Learn to navigate: Cooperative path planning for unmanned surface vehicles using deep reinforcement learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.634581Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:698994c6583dac498b2b74ab7cc2391e20a04980ecb6a277ee91773be8341bb1","observation_id":"071bae2c-58cc-491c-996e-d9e6d438b988","resolution":{"observed_at":"2026-08-01T00:19:08.634581Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.706065Z","title":"A sim-to-real transfer framework for enhancing marine vehicle performance in ocean environments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.706065Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:bf63f9c3852c866b3cae532c55e55d50018a20a01af4c6fbbd0f95dbdbf2c872","observation_id":"22e9debb-3424-4325-946e-ff4d5b55b457","resolution":{"observed_at":"2026-08-01T00:19:08.706065Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.788268Z","title":"Marinegym: A high-performance reinforcement learning platform for underwater robotics,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.788268Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:36050c5cfe4197b610d1f792c2f5f3835a829e2d09f3189fc9f5ced720487a43","observation_id":"83ccaa92-c178-4ae8-834f-7c22b8a93fd8","resolution":{"observed_at":"2026-08-01T00:19:08.788268Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:08.873593Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.873593Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:30e488a593877d5986a43bf504448af2634d5043a3ee3e016f5166f6558a02b4","observation_id":"cb5055a8-95f0-4be9-8ac7-4d65ed99016c","resolution":{"observed_at":"2026-08-01T00:19:08.873593Z","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":"10.1145/3449726","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Evolutionary reinforcement learning for sparse rewards,","venue":null,"work_id":"4cd22e60-db7f-4ac0-9df8-71c4f02114e5","year":2021},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:08.948848Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:990a4a15199678714b3cfbcc4e9f57e61733e06f354a825d0e5ce1cba6bd93c9","observation_id":"28f005de-04e2-4289-aed0-1fa497b8e38c","resolution":{"observed_at":"2026-08-01T00:21:43.357664Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-01T00:19:09.023381Z","title":"Evolutionary computation for sparse multi-objective optimization: A survey,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.023381Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:d8dff41825d5fd6f0b0b9293309c4498dcc01b52315a2f6d75c4bb336e50f3ee","observation_id":"f25fd0f8-3c6f-42dc-9161-87cbe4ad5d11","resolution":{"observed_at":"2026-08-01T00:19:09.023381Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.112939Z","title":"D++: Structural credit assignment in tightly coupled multiagent domains,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.112939Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:26e10105026f163bede47436df09aa5ca3dd2b9cf385e57d6faab6d5b3c8a7a4","observation_id":"fc761857-33a1-472d-a9ed-fc06c72100db","resolution":{"observed_at":"2026-08-01T00:19:09.112939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.172292Z","title":"Global optimal path planning for multi-agent flocking: A multi-objective optimization approach with nsga-iii,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.172292Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:d37f369fde945cff8029e9734017aabbb127fe8e79da26dc650b0a06944d44e7","observation_id":"81608150-75e3-4f29-bdf3-a02a31c03b0e","resolution":{"observed_at":"2026-08-01T00:19:09.172292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.245487Z","title":"Multi-objective multi- criteria evolutionary algorithm for multi-objective multi-task optimiza- tion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.245487Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:44d179613a7324bfc3368cf5c14a2801df4718ad2ff3c7c7a762de3fc7097413","observation_id":"5e1f000e-cc0d-4379-89ef-d48bc89401e5","resolution":{"observed_at":"2026-08-01T00:19:09.245487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.279736Z","title":"Multi-usv deep reinforcement learning for distributed cooperative target tracking,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.279736Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:008515da7966c24beec9b2b7a78bbbe695e12e692fa8f0ce988789a375769aff","observation_id":"656e94a5-b7ac-4847-8496-c8d6649982ba","resolution":{"observed_at":"2026-08-01T00:19:09.279736Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.353902Z","title":"Autonomous environmental exploration and target tracking control for unmanned surface vehicles in uncertain environment,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.353902Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:e07b07e31741d96f54557543f6ba427f322a536567c11a16d0ab11fb12d7cd2a","observation_id":"d5ef64a6-b825-485f-987b-26dd10eb9574","resolution":{"observed_at":"2026-08-01T00:19:09.353902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.509567Z","title":"Cooperative target fencing of uncertain multi-usvs: A reinforcement learning-based approach,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.509567Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:a9ac958df57d187e73915efaf26f4ec073ecdaacd3c17354ecc475d2949dfc06","observation_id":"c0b5b584-b5c2-4f51-b246-8403aff4c7dd","resolution":{"observed_at":"2026-08-01T00:19:09.509567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17038","last_updated":"2024-04-25T20:58:51Z","snapshot_observed_at":"2026-08-16T13:57:43.684332Z","submitted_at":"2024-04-25T20:58:51Z","title":"Evaluating Collaborative Autonomy in Opposed Environments using Maritime Capture-the-Flag Competitions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.17038","snapshot_observed_at":"2026-08-01T00:19:09.622849Z","title":"Evaluating collaborative autonomy in opposed environments using maritime capture-the-flag competitions,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.622849Z"},"links":{"cited_paper":"/paper/2404.17038","citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:23b9962b4cd4d6fe6eb3d0d3a7f15a1cdd50e63e92004225c80013c4f1ffd0a7","observation_id":"38ae7bb5-f7fb-47fd-9702-ab6dc8c58dfc","resolution":{"observed_at":"2026-08-01T00:19:09.622849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.707757Z","title":"Nested autonomy for unmanned marine vehicles with moos-ivp,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.707757Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:701f2b46582996529c61330a93ab57e8c4e7a0aa53abfe707a0ec2b06ec72c43","observation_id":"eb8f4966-0412-4b16-ba9a-2fa5baf0dd76","resolution":{"observed_at":"2026-08-01T00:19:09.707757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.857597Z","title":"A study on the effectiveness of moos-ivp for unmanned surface vehicle,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.857597Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:be76be9ac03b5099e906cbc4bc6992582f4fdb8f6a575e420c35dfc507053fdf","observation_id":"2d142828-2687-4617-a2b4-fceb558cfba6","resolution":{"observed_at":"2026-08-01T00:19:09.857597Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.877604Z","title":"Moos-ivp avdcolregs behavior,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.877604Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:98e40145fe1875758972e55206f1d761df7c6ff6353bcd9d86eaf17ffd4ce34c","observation_id":"dbed395d-817a-4936-a367-c9c96670a89e","resolution":{"observed_at":"2026-08-01T00:19:09.877604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:09.983683Z","title":"Moos-ivp opregion behavior,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.983683Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:f8a055d2297ec32d191653566548aba42ece3bfc2afa90ad9df815dcb75350c2","observation_id":"359fa2a1-8db1-4e0c-8294-53bcf5e86cb9","resolution":{"observed_at":"2026-08-01T00:19:09.983683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.080956Z","title":"Safety-critical model-free control for multi-target tracking of usvs with collision avoidance,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.080956Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:c102625b07ec703c2f06db58915ca386cac6962365d61021af591c6600cb8964","observation_id":"247ea069-c0b9-44ea-b912-d166ef98ed57","resolution":{"observed_at":"2026-08-01T00:19:10.080956Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.105722Z","title":"Coordinated landing control for cross-domain uav-usv fleets using heterogeneous-feature matching,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.105722Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:c8bc7b7920bf58f9af4e23384942588eca43f3e4e290dfc338caa8b3ff563791","observation_id":"5f5f12e9-5ff9-4ca3-8a4e-fc108a9eed82","resolution":{"observed_at":"2026-08-01T00:19:10.105722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.134162Z","title":"A robust layered control system for a mobile robot,","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.134162Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:ad1c4b78d5b7328c7e15761f7ca2d158f1fe04cb589d9449d8ddf83ea07a352f","observation_id":"c3dd0785-7e15-4bc8-a671-b86827544e5d","resolution":{"observed_at":"2026-08-01T00:19:10.134162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.167523Z","title":"Control barrier function based quadratic programs for safety critical systems,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.167523Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:42cdc690d65a2ac6fdb40b0dc687ad124fd4fc47a52172e6ca9d53f0f4a41cdd","observation_id":"106e091b-0e95-498a-bae8-b481fb154443","resolution":{"observed_at":"2026-08-01T00:19:10.167523Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.172322Z","title":null,"venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.172322Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:f879d83e6ddb31dce4077dddd1bcb69b1b0052e7206a6da202ffb511496537fa","observation_id":"89d3ed8d-2369-4b35-945d-a771a03bcde7","resolution":{"observed_at":"2026-08-01T00:19:10.172322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.177934Z","title":"Fullest colregs evaluation using fuzzy logic for collaborative decision-making analysis of autonomous ships in complex situations,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.177934Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:8c574c8726b4b1b8180f1920ee38267e4af6d9fdc3d606e353faa4b5820f79d8","observation_id":"dec471be-20b5-45c5-9fda-238fdc9c274a","resolution":{"observed_at":"2026-08-01T00:19:10.177934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.182309Z","title":"Gonzalez, G","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.182309Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:6d1c35003e2b80ee5561642a8fff58ddd79c1eb76a2345f7387f2ed37db9581f","observation_id":"37a4cce9-d15c-4ff7-8329-08c80e2e8aa2","resolution":{"observed_at":"2026-08-01T00:19:10.182309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T00:19:10.186642Z","title":"Adversarial resilience for sampled-data systems using control barrier function methods,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:10.186642Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:426950318535326e69be46721f9eee4d0da686c7f7da85cf9d6b6d9313b3a420","observation_id":"74afa491-b0d8-405d-9012-0332f597a649","resolution":{"observed_at":"2026-08-01T00:19:10.186642Z","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":"10.1145/3734865","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Available: https://doi.org/10.1145/3734865","venue":"ACM Computing Surveys","work_id":"e4133132-6bf7-4228-9d38-b48670413983","year":null},"citing_paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T00:19:09.068809Z"},"links":{"citing_paper":"/paper/2607.26279"},"observation_digest":"sha256:b917b77ada95cd82eb73b85a7df4ef8522eace395b2469acfc7ee7c37c706463","observation_id":"50d4fa19-9680-4b6b-b0e1-5ee14681a8b8","resolution":{"observed_at":"2026-08-01T00:21:43.185300Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.26279","last_updated":"2026-07-28T21:21:45Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-01T23:21:25.754935Z","submitted_at":"2026-07-28T21:21:45Z","title":"Multi-Objective Compliance-Integrated Coevolution For Simulated And Real-World Deployment Of Multi-Robot Marine Autonomy"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":30,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":32},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.26279."}