{"as_of":"2026-08-14T03:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3706eafa28d354654f27577964f1e797697d96244cd38236db931a11e0598777","coverage":[{"denominator":80,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":80,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:19:12.026037Z","state":"measured"},{"denominator":80,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":80,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2507.06278/citation-record","integrity":"/paper/2507.06278/integrity","json":"/paper/2507.06278/citation-record.json","paper":"/paper/2507.06278"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:19:12.936835Z","title":null,"venue":null,"work_id":"a27cc708-5c42-4032-a3f4-db468a50e5e6","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.732048Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:c1f7ed43f84732fed1c2f4d5b6e15823ed48d9c5ce2cc841d0edca5dde3caed3","observation_id":"bbe13c44-b7b7-4cd5-befc-0a25b80824ca","resolution":{"observed_at":"2026-08-06T19:19:12.940745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.925873Z","title":"and Olsder, G","venue":null,"work_id":"15ac8c9a-306b-4477-bfcf-2b8b3ed762dd","year":1999},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.736191Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:5d737168fc914734e6a186761d22a3933323e92dc9b74a4b1e396a191516dc79","observation_id":"3ec97e1b-0879-4506-83d9-72992538990d","resolution":{"observed_at":"2026-08-06T19:19:12.929173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.914464Z","title":null,"venue":null,"work_id":"879d7c05-1635-4466-a20f-14de5d743ac8","year":2008},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.739974Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:6388c5f5a94cbb07112a26c80188a131335b4539464b1569e1146969c8068385","observation_id":"e626b05a-dff5-4dfb-b5a9-09c439b86d8d","resolution":{"observed_at":"2026-08-06T19:19:12.918652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.904052Z","title":null,"venue":null,"work_id":"f5049ec9-0972-4dc7-b63a-cc7e808e963a","year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.744463Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:6f404b8ca7378e7def947a4aa51373918c9271fa55e428ebd345f595cdf655f2","observation_id":"680de047-afe2-4747-bdfb-ce40cbe43ab4","resolution":{"observed_at":"2026-08-06T19:19:12.907405Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.892826Z","title":"and Veloso, M","venue":null,"work_id":"77147db3-69aa-4831-8a2d-aef05e725266","year":2002},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.748324Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:8a2ce43015b33e7683ab96742f1d3c9d227cf3ce82cf4d98c6549ae320581f69","observation_id":"61eb7c52-ed00-42c8-8909-c8ae93540655","resolution":{"observed_at":"2026-08-06T19:19:12.896672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.882076Z","title":"and Delarue, F","venue":null,"work_id":"5b7894a5-a25d-4141-a86d-bac8245db4bf","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.752835Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:8445e8964eed2e47f0705b90a2254a5ad44b76a06b2e5e265170567a13985554","observation_id":"73e4d3a3-d036-40ce-b51a-f30e95ba64bf","resolution":{"observed_at":"2026-08-06T19:19:12.885414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.871940Z","title":null,"venue":null,"work_id":"1595fdd6-01d5-43f4-a443-28a5b28345a3","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.757590Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:14048c8310ecb727d95af28942d0673a433a9595dafcb0ac1d896c2de1f8f5dc","observation_id":"c6938f41-bb0c-4715-9ffc-2579769fc6b8","resolution":{"observed_at":"2026-08-06T19:19:12.875905Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05071","last_updated":"2024-06-07T16:41:05Z","snapshot_observed_at":"2026-08-12T23:47:42.931898Z","submitted_at":"2024-06-07T16:41:05Z","title":"Massively Multiagent Minigames for Training Generalist Agents","version":1},"cited_work":{"arxiv_id":"2406.05071","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.05071","snapshot_observed_at":"2026-08-06T19:19:12.137520Z","title":"Massively Multiagent Minigames for Training Generalist Agents","venue":"cs.AI","work_id":"4d0aca3a-22c6-4d28-b855-2056a2295926","year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.761732Z"},"links":{"cited_paper":"/paper/2406.05071","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:0ff2f19e1ef1357073d7e3728a984a0d80b6503251759cfad93c0e41986faa4c","observation_id":"d8b2469a-a7a1-4e13-a8a6-eb6dcb6daaec","resolution":{"observed_at":"2026-08-06T19:19:12.142387Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.861794Z","title":"W., and Papadimitriou, C","venue":null,"work_id":"e3d9e5e2-0072-4cdd-9a4b-624a5c8ccef7","year":2009},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.765977Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:34c457ab4e36dd5d1af80f8356660ba767cc2c71a62d4c9df344be61538fdc4c","observation_id":"ac85b0d5-2cc0-4e6a-ac45-c5ec200d26a8","resolution":{"observed_at":"2026-08-06T19:19:12.865334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.850668Z","title":"S., Alami, R., and Simonin, O","venue":null,"work_id":"c33136d5-9cde-4a89-b015-31a9fdad4b89","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.769020Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:99ec1004243ce4273612e61dab9142b13655460e7b41b4acc408ebea040884a7","observation_id":"eaf614c2-2fe8-4fc7-ac75-ed0432af9246","resolution":{"observed_at":"2026-08-06T19:19:12.854950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.839044Z","title":"and Johansson, K","venue":null,"work_id":"b7076ce7-9b4e-4ff8-b714-bef3e57d8afa","year":2014},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.772090Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:448ea49e11540771e53bab9d5f9ae177027ec2959b4c627055a014b724625925","observation_id":"d2c75720-a3c7-492e-9de7-f5b4add4008a","resolution":{"observed_at":"2026-08-06T19:19:12.843222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.827320Z","title":null,"venue":null,"work_id":"da762e70-7b39-4a3a-8135-b880461b97c5","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.775471Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:f616ae14e6fef6a40d3d77f9c39cac5a65691e0e28c9ae4b9c5461af2c6431ff","observation_id":"b4f5bde4-2519-4c85-a9a8-9179f98b44ae","resolution":{"observed_at":"2026-08-06T19:19:12.831533Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.815641Z","title":null,"venue":null,"work_id":"6811c2a4-fe5f-4902-b56f-5805ad20c8b7","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.779075Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ff8b0320079e6c10e90b225fad9d6564dd680e89f381e1b7de4bf1ab0359beef","observation_id":"e65ff752-534f-4c46-88d7-78492a0e3749","resolution":{"observed_at":"2026-08-06T19:19:12.819081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.804610Z","title":"and Pang, J.-S","venue":null,"work_id":"f6779346-92e0-4f9b-a303-fcc4a46be4dd","year":2003},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.782410Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:3e5eb7d9954291ea3128efeccb9b5df69a6771d1e30802e8e248d18db68b9f97","observation_id":"838f7e7f-8bdd-4d65-992a-0dc3d436d2f2","resolution":{"observed_at":"2026-08-06T19:19:12.807974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.793106Z","title":"and Pang, J.-S","venue":null,"work_id":"c6b0b514-59ec-4f15-80ff-3fcca7d6339e","year":2003},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.785982Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:4620e9bc2cb7cc903668f9aea0e34e604ce9b78b431a5b747dfd22de85ca6b99","observation_id":"fb34feaf-a055-41eb-96ff-1a030b879df8","resolution":{"observed_at":"2026-08-06T19:19:12.796490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.781499Z","title":"and Pang, J.-S","venue":null,"work_id":"481f6314-ce72-4fd4-9e3f-fdf31d17b84a","year":2010},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.789328Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:7b090085008912ff1c821b9b31954402de07587e69e657ef8eadfc34fedc02e1","observation_id":"681aede7-0aca-4897-ab59-c955010b9d56","resolution":{"observed_at":"2026-08-06T19:19:12.785692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.770766Z","title":null,"venue":null,"work_id":"de496971-edcd-4507-89ab-407a3388d166","year":2017},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.793343Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:4ec059a21f90a8cf5f6c6a575719dda95effc21665e2654d2e41b461208d5eab","observation_id":"61c29991-ac0f-4660-9766-399bc5729140","resolution":{"observed_at":"2026-08-06T19:19:12.774467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.759763Z","title":"N., Chen, R","venue":null,"work_id":"98088988-6fc0-4428-8117-7030e2afcb6b","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.797239Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:32b9f421ada6634d8fe51bb37fac2f28f24adcbf391d008021af50a82c377943","observation_id":"943a65ee-d4b5-4e82-8993-9b66ad538d61","resolution":{"observed_at":"2026-08-06T19:19:12.764236Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.748566Z","title":"N., Farquhar, G., Afouras, T., Nardelli, N., and Whiteson, S","venue":null,"work_id":"c4ea6f74-ea2b-4b92-b922-e2b33e03c232","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.801342Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:eca2b6e0f58063f1f30d096daa51b44408ee346ef68dad9d87c731ba0db65900","observation_id":"90d93f73-a715-4034-ab99-59bd55188a3a","resolution":{"observed_at":"2026-08-06T19:19:12.752755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.737663Z","title":"N., Farquhar, G., Afouras, T., Torr, P","venue":null,"work_id":"dbd20c53-2501-4a41-b707-725e146df908","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.805904Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:fdafdb4954d003e4f6ec95bbfb6fc793074724ce6b5bc4da6c06614aa35891f8","observation_id":"2f8c3195-771b-49c6-bf30-901899e83a9f","resolution":{"observed_at":"2026-08-06T19:19:12.742124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.726330Z","title":null,"venue":null,"work_id":"6787b0e3-f3ae-424c-be26-10a011d60943","year":2022},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.808961Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:66da368b0293d1866b53ace7ea9af4258bd287675408fbfc58661851fbb0e5a1","observation_id":"acc85107-09e4-4e12-887f-43d52132f945","resolution":{"observed_at":"2026-08-06T19:19:12.729782Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.714786Z","title":null,"venue":null,"work_id":"224637ee-3541-429f-b130-77f0c8dce850","year":2025},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.811779Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:1d29cec35369d5ad7bb51f56c74a0cbdb1c1429663d2b3f8e666bb31c12ef3ec","observation_id":"5bc0ccac-563d-4567-a8a7-f16e16ee8835","resolution":{"observed_at":"2026-08-06T19:19:12.718555Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.703321Z","title":"L., Rabbat, R., and Savvides, M","venue":null,"work_id":"7cc00804-57f6-4ea7-b38e-fa3aadef87cd","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.814730Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:5b54cd118677c9d4504a975d50ba0ca416367ee04cbd65f95f892f8423d3abe3","observation_id":"6ab393e3-89df-4fdc-b41e-0be6cca529fd","resolution":{"observed_at":"2026-08-06T19:19:12.706743Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.690141Z","title":null,"venue":null,"work_id":"f4a21d68-e4a3-4672-ae1f-623090f4fafe","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.817740Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:54a0af8e55379d2eb9c937e87e95ae9e6ab3ff7882a87869c84bd17a6718f6c1","observation_id":"1cebe49c-6a0d-4c25-8a4c-474c480d27d2","resolution":{"observed_at":"2026-08-06T19:19:12.694576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.678978Z","title":null,"venue":null,"work_id":"a1822768-e266-4457-be79-4bec2637987d","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.821022Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:3acf360132a660d6ff3beb2314a8908f0b4e40dd1e692192ff34b136062b583c","observation_id":"a53f4a14-d376-4dc2-9978-15cfc7255646","resolution":{"observed_at":"2026-08-06T19:19:12.682978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.668215Z","title":"and Wellman, M","venue":null,"work_id":"7e37519a-b651-4357-be50-d7cbfb0d512f","year":2003},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.824055Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:16f1381bccce998f43dfce095d1db49d5d63288507c90bdb70f3f2ede7113ded","observation_id":"b1a6196b-26df-4bb2-b7fb-188c97dea5b2","resolution":{"observed_at":"2026-08-06T19:19:12.671808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.654407Z","title":"P., and Caines, P","venue":null,"work_id":"ffd8ceb3-74f2-4d3f-89c3-14e1ace69ea7","year":2006},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.827855Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:958ab1687a7388157b1c9309606384983cb6366feec74396025438e67f7a312f","observation_id":"02ba0e0f-5c7f-4c2c-bb77-3a2139a3a0b3","resolution":{"observed_at":"2026-08-06T19:19:12.659529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.643206Z","title":"and Mohapatra, P","venue":null,"work_id":"d302d2c3-7c13-402f-8e54-5ba05d260fff","year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.832287Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:fa9b31d133b0849e7a34f3383056021dc8fcdcdc17f8946a2bd67cb5b0ec5d0b","observation_id":"28e403a5-5ca6-4986-bb68-d34d224a2baf","resolution":{"observed_at":"2026-08-06T19:19:12.646594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.633052Z","title":"and Sha, F","venue":null,"work_id":"280ad9c6-25b7-41e0-b864-46794881d76a","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.835383Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:1c2ef1a11ccd44c13a8999712ecf0b585e43190a9a0a1a31212443ba38e7d2fb","observation_id":"33ea9f66-088b-4dfc-af92-f0e88e261dd8","resolution":{"observed_at":"2026-08-06T19:19:12.636619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07281","last_updated":"2020-06-12T16:00:41Z","snapshot_observed_at":"2026-07-06T09:28:33.880791Z","submitted_at":"2020-06-12T16:00:41Z","title":"Algorithms and Learning for Fair Portfolio Design","version":1},"cited_work":{"arxiv_id":"2006.07281","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.07281","snapshot_observed_at":"2026-08-06T19:19:12.120965Z","title":"Algorithms and Learning for Fair Portfolio Design","venue":"cs.LG","work_id":"41bdf88b-e851-489d-8913-6f13d474a9d8","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.838529Z"},"links":{"cited_paper":"/paper/2006.07281","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:b738f0b781f559275307a3519f9e02b88d8b62e0df82a21e94cc7077bd136c2b","observation_id":"e24da37e-5ab0-4071-b33f-81bc8730d1ee","resolution":{"observed_at":"2026-08-06T19:19:12.125898Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.623123Z","title":null,"venue":null,"work_id":"934402d3-31e7-4e85-81e7-ff395522af84","year":2022},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.841957Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:1bbdd547eebb073c3664ae6ac08df5931988dda3b2c660d208bfc461e1aaecae","observation_id":"81af44d9-0cd2-40d0-b9bf-bb5f21f056d2","resolution":{"observed_at":"2026-08-06T19:19:12.626290Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.613025Z","title":null,"venue":null,"work_id":"44fec471-3a24-4ccd-9ce4-b94da535c037","year":2022},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.846363Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:591df098b8217b54a20f2ecc3f51af1a94ea6cc8edd51915911589e728065e9f","observation_id":"eb888e57-3da7-4386-9bd7-e7335c8ef2d1","resolution":{"observed_at":"2026-08-06T19:19:12.616105Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.601157Z","title":"D., Narasimhan, K., Saeedi, A., and Tenenbaum, J","venue":null,"work_id":"23e41bc5-d84a-4753-b046-0b226c653fa2","year":2016},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.850831Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:013a393820ed51d21f8dc6a2bc273ab3a1cff1287fa5af1dbea9cd40862168f5","observation_id":"9d55867f-0d9b-4b26-8ab1-bab0f2a623a8","resolution":{"observed_at":"2026-08-06T19:19:12.605206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.589729Z","title":null,"venue":null,"work_id":"af13e7ba-2218-41d5-99fd-882ae6da11cb","year":2017},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.854200Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:eb88802e29ef02140d53d72c0c0dfe9afbb631ae4bce41f8f51e6b96972bc3cc","observation_id":"016a4eff-7825-4c36-9605-ea29315ed62e","resolution":{"observed_at":"2026-08-06T19:19:12.593917Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.579693Z","title":null,"venue":null,"work_id":"15698e79-78c7-4561-a526-22aead3bb6fc","year":2007},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.857760Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:baca468afca8cf6cdec3327fa37ddbed68de349897caa6769e2df1d24c9369b2","observation_id":"fa87d46a-1d69-4789-b393-3d1559186885","resolution":{"observed_at":"2026-08-06T19:19:12.583286Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.567156Z","title":null,"venue":null,"work_id":"f68d614e-6a69-4814-8617-b42a89cfb77e","year":2023},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.861683Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ed1795e122339dc1ddb7fc7a8cbb51d80228df20f268092cc507f787c2bb7072","observation_id":"611c1b4f-fd00-4fb9-bf30-6bcd487f4357","resolution":{"observed_at":"2026-08-06T19:19:12.571282Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.557334Z","title":null,"venue":null,"work_id":"bdfe3962-41ac-4441-a48b-327fce3d6a1c","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.865813Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:47fd2771338d82104c19ad801dbd8f24cf932d29d1a700b889d70ea072ebc606","observation_id":"be6b3f58-b3cc-4452-8689-694da8e1e721","resolution":{"observed_at":"2026-08-06T19:19:12.561064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.546311Z","title":null,"venue":null,"work_id":"f9c937b8-1f4f-49e4-a331-3b4d1813fc5d","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.869124Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ef8f06f2db61016c09f597024b43e7ed95abefbc83c512362d036688b948272b","observation_id":"654cded4-7d46-4b69-a5dd-6826a53b652c","resolution":{"observed_at":"2026-08-06T19:19:12.549553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.535131Z","title":null,"venue":null,"work_id":"55d254ad-bcc3-41b7-9a6b-e5fa51c7d0c7","year":1994},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.873416Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:d9fb8b2ac97592a2303f9b634e3809f1370d13c1849f59633ead303333ab498b","observation_id":"e280d676-2460-4137-8598-2a24e90e2a65","resolution":{"observed_at":"2026-08-06T19:19:12.538545Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.523886Z","title":null,"venue":null,"work_id":"727585e9-0980-4354-8334-b7ef6a45620b","year":1994},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.877364Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:303480f3966ad61d172b2162cebdb0dbe3282ede79dff5eacd10af4becf2b3ff","observation_id":"896f934b-56e1-4ef5-9b42-c9d7dbfcafa8","resolution":{"observed_at":"2026-08-06T19:19:12.527647Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02275","last_updated":"2020-03-14T20:33:00Z","snapshot_observed_at":"2026-08-13T04:11:35.458057Z","submitted_at":"2017-06-07T17:35:00Z","title":"Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02275","snapshot_observed_at":"2026-08-06T19:19:11.881110Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.881110Z"},"links":{"cited_paper":"/paper/1706.02275","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:fd265f0c05c4efe03d356879a664d788616ee263aea73a79b40864c5df8a7daa","observation_id":"8cb6ef5b-b6ae-4b14-88dd-8d0ea723142f","resolution":{"observed_at":"2026-08-06T19:19:11.881110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:19:12.512219Z","title":null,"venue":null,"work_id":"09a0c5a2-6705-4dfd-a9ac-0f9e1f737be6","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.888516Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:d901648e051b16bf862afa421ccb32e6c717595c5d67010cd77e703edcdc2987","observation_id":"1d71a6db-854a-45a2-97c6-4691936e3a13","resolution":{"observed_at":"2026-08-06T19:19:12.515553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.502146Z","title":"I., and Ratliff, L","venue":null,"work_id":"0a8e9fcd-d409-4f37-a273-ab3e8a4c74f8","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.893076Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:42121c42f010320f0de76a278b3da00864283a6f29dfe47a374462848fa59fd9","observation_id":"4ad808d8-f68d-44d6-9fda-9b1adf95577f","resolution":{"observed_at":"2026-08-06T19:19:12.505302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.491360Z","title":"I., and Ratliff, L","venue":null,"work_id":"8b35cffa-05ab-461e-a5df-559e7edd84c8","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.896947Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:36dab6afde0f2f4808a4d2c8633857a1ed6151cb05ee1fad27ca5c111567b205","observation_id":"1f6a14db-d44e-45fb-b9ad-6ad485b97718","resolution":{"observed_at":"2026-08-06T19:19:12.494739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.480821Z","title":null,"venue":null,"work_id":"0aa95663-9038-499c-8b38-a8c314030b00","year":2017},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.900903Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:303df9ee01ee013d584e75a0f40f67edb0152c98b84222319a2ba7d9a7c573a2","observation_id":"602e1c7e-315b-446a-85b2-f17c30e74420","resolution":{"observed_at":"2026-08-06T19:19:12.484645Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.471007Z","title":"P., Mirza, M., Graves, A., Lillicrap, T., Harley, P., Silver, D., and Kavukcuoglu, K","venue":null,"work_id":"3cde503d-3583-49ce-a752-861ac6c62a31","year":2016},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.905296Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:771a238df7de8ead67a592e8b1dbe36ea3b022bcb14bae08205c56a98f105047","observation_id":"4cb4de8e-f42b-46d0-9475-a7701e9e65a4","resolution":{"observed_at":"2026-08-06T19:19:12.474403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.460250Z","title":null,"venue":null,"work_id":"a6894103-def4-4b2e-a55e-b6202e49e264","year":2016},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.908345Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:d089b1d72f24f577bbfc5bdd2ce5acadc77fbf31999ac18c745669db8d41aaed","observation_id":"221fd7fb-746e-4551-a95f-cf64077bf139","resolution":{"observed_at":"2026-08-06T19:19:12.463888Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.449206Z","title":null,"venue":null,"work_id":"1ab7671d-3c2f-4fb1-a53f-d6a79e8fe26e","year":2023},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.911458Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:a88b52b6ac09dd3b138a09855b36f5badf061679a64f4267deb9e57fd1070e19","observation_id":"671470a2-1ba8-4c86-b924-7d7ce6351d5e","resolution":{"observed_at":"2026-08-06T19:19:12.452933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.438182Z","title":null,"venue":null,"work_id":"d2aac552-a527-4c11-9458-9a14dee3c4ed","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.914453Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:9d884d08418d6108648ca1341abb9aefa5687002bedf5fb7a0a97f1210e55e26","observation_id":"43622d0d-ec11-4eed-9858-81d97a1438b8","resolution":{"observed_at":"2026-08-06T19:19:12.442085Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.428186Z","title":null,"venue":null,"work_id":"3dbdc3f9-f688-4566-bfe1-f38d90a53207","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.917866Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:5fe7dbaaf7326d8507da99f6d63fa672e375c835b3820c574a921fbe160444a6","observation_id":"89d17e02-ee8a-424e-b7cb-86fa06aaad64","resolution":{"observed_at":"2026-08-06T19:19:12.431687Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07485","last_updated":"2020-06-12T21:44:10Z","snapshot_observed_at":"2026-08-09T18:03:29.592634Z","submitted_at":"2020-06-12T21:44:10Z","title":"Laser-Like Waves Amplification in Straits","version":1},"cited_work":{"arxiv_id":"2006.07485","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.07485","snapshot_observed_at":"2026-08-06T19:19:12.082886Z","title":"Laser-Like Waves Amplification in Straits","venue":"physics.ao-ph","work_id":"c8fb76b2-bb39-41bc-b917-f6038b9a4123","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.921818Z"},"links":{"cited_paper":"/paper/2006.07485","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:eda57fc3583f7ce0b73a9f6cb0e7b7a8ab512e92b0bb6afeac4c27c35f1b326a","observation_id":"c37bab55-ab6a-421e-b734-1669bcc99950","resolution":{"observed_at":"2026-08-06T19:19:12.088692Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.417003Z","title":"and Cort \\'e s, J","venue":null,"work_id":"d6b3ab0d-53cd-4add-abaf-01da0a18726a","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.925732Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:477ac31a86dda00e051e62355f336c072e9cfa68b85097269d662f377f531e1b","observation_id":"302bd35b-b5d0-43fe-8e5f-9a41d4463f17","resolution":{"observed_at":"2026-08-06T19:19:12.421400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.406903Z","title":"J., and Van Roy, B","venue":null,"work_id":"af1a67dd-9932-4c8d-93d3-ce7b6d449624","year":2016},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.928815Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:80dadc0b3c5bd7bcacaab3a13dd8c9fe1bc6742a5877387db305173febf21126","observation_id":"80c74003-95b3-46d5-887c-8ad80fa96b01","resolution":{"observed_at":"2026-08-06T19:19:12.410693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.395821Z","title":"and Fukushima, M","venue":null,"work_id":"d9de8666-52dc-4993-b91e-462bb751dabc","year":2005},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.931894Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:3d50b8df57c837c203cefb82aae9cec5335420d600094be4da0e23b9542c2c7e","observation_id":"f34dc86f-9d46-43b3-8f65-3efd1c88e62b","resolution":{"observed_at":"2026-08-06T19:19:12.399391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.385856Z","title":null,"venue":null,"work_id":"36455527-d0d3-4ed3-937a-b3673f088c7f","year":2016},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.934810Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:bbe9dc3346561af5ec9973daa57ebb94daf7325180cb15eb0b3bf138217ec4c1","observation_id":"23b3b8b4-6b27-4465-b3cc-aa60b17213e1","resolution":{"observed_at":"2026-08-06T19:19:12.389253Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.374653Z","title":"A., and Darrell, T","venue":null,"work_id":"b0e2ff70-67d5-4d2b-8808-4343c4bf0e3f","year":2017},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.938070Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:94ba667b2bb862c4acae38f95384b9d358ac685f07445f49291058e3cec88b89","observation_id":"00b9643a-2880-4bcf-95ee-1b6a37b1ed2c","resolution":{"observed_at":"2026-08-06T19:19:12.379187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.364720Z","title":null,"venue":null,"work_id":"b96bd729-1ce4-4c0b-a0d3-a2183eface00","year":2023},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.941078Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:386d982e87c7fa9964be4eb02fdc7ff5b8f140c6070bc52780e9b64383cac8a6","observation_id":"ffd68054-8803-4cde-b4b5-01d80ab82742","resolution":{"observed_at":"2026-08-06T19:19:12.368092Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.355232Z","title":"and Sigaud, O","venue":null,"work_id":"a294ddad-45b9-4ef6-afda-35ac1a2a171d","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.944313Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:dcfef69a1ab42291ef4e4f0dba4df3fdd69cf275fa8213b7539e451cebcd1428","observation_id":"55e64100-d654-4869-9613-a2956f22b1bb","resolution":{"observed_at":"2026-08-06T19:19:12.358394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2108.11887","last_updated":"2021-10-24T19:02:03Z","snapshot_observed_at":"2026-08-13T18:22:32.267764Z","submitted_at":"2021-08-26T16:22:49Z","title":"Federated Reinforcement Learning: Techniques, Applications, and Open Challenges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.11887","snapshot_observed_at":"2026-08-06T19:19:11.947862Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.947862Z"},"links":{"cited_paper":"/paper/2108.11887","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:929ffe0382161b13c32741414aacb47a2e1abbf4f0adaec751b7dbf704e81135","observation_id":"42fdfb50-c1f4-43a3-a969-c3d808803428","resolution":{"observed_at":"2026-08-06T19:19:11.947862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:19:12.342580Z","title":null,"venue":null,"work_id":"74dc8d39-6e9f-49f6-a5e9-af8791934b5d","year":1965},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.951858Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:b8f7da68fb33b5b353ab793e2d73195a2e79980fd0f7239943a67e33149f104d","observation_id":"2b84d413-56f3-41a7-a9be-256d3a25746a","resolution":{"observed_at":"2026-08-06T19:19:12.346123Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.332926Z","title":"P., Facchinei, F., and Pang, J.-S","venue":null,"work_id":"11b706fe-7c1d-4369-9d9f-1a7c0e4d60dc","year":2010},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.956519Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:8e31c8a6992bea0613aec9a3ff6fae3d5d3093cf0eea0bc801cffd946f163618","observation_id":"cb27b759-7726-4659-a178-0773042ece43","resolution":{"observed_at":"2026-08-06T19:19:12.336539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.321124Z","title":"V., and Johansson, K","venue":null,"work_id":"a15115b5-037b-4364-9c1c-1934a52b6202","year":2013},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.960362Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:790d7f93152f1cc99dd3cc0ecdb78e52fbea598d2a969a731b204d8c6d9914d1","observation_id":"a6029a44-9c96-4af1-b650-850fe5196ae9","resolution":{"observed_at":"2026-08-06T19:19:12.325063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.308244Z","title":"and Leyton-Brown, K","venue":null,"work_id":"63f97d40-086b-478c-9da5-6dc98e1c0100","year":2007},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.963952Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:cc861d816ad1bec2eebf7c3837beffbfb50eb0a174ee6309f08af66b904c9825","observation_id":"e3b8f915-aacd-4e27-9530-c1f2462a1568","resolution":{"observed_at":"2026-08-06T19:19:12.312753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.296977Z","title":"E., and Yi, Y","venue":null,"work_id":"3ba86533-ac46-41e5-b688-d15e6ae0b557","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.968395Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:3eb89f01cf5623cabddc188dd528c9f8693f989cc64d378a781eb19d4bfa3aef","observation_id":"fe0718ec-891f-46fd-84e3-144ffe6fa5f9","resolution":{"observed_at":"2026-08-06T19:19:12.300944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.285696Z","title":null,"venue":null,"work_id":"0a2df3eb-586d-4b37-8f86-aeca8e550425","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.971854Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:17f75e159381e5f690ea625b41e11af7c7a8713f567b2bf9ce018af895713d64","observation_id":"573d168e-3f72-4778-bea3-b5940e462bfa","resolution":{"observed_at":"2026-08-06T19:19:12.289102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.273404Z","title":null,"venue":null,"work_id":"b69638b8-b9ae-4071-9096-229c98ebf85e","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.975471Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:f8d002ede057bc056233257ec64d14dba29617d52e92e7e36d255e0054b22eda","observation_id":"88969b56-946d-403d-8e3a-87e117b4eb31","resolution":{"observed_at":"2026-08-06T19:19:12.277619Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.262966Z","title":null,"venue":null,"work_id":"6a14da7d-bcab-45b8-8503-099581f75cdb","year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.979047Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:445bffc4aa94474a8ad835d3cdbd648d4cecab4153deecbf9c43a5d8af8f4066","observation_id":"f2d4dd7b-56f4-4046-bc2a-83f6fa68a577","resolution":{"observed_at":"2026-08-06T19:19:12.266173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.14435","last_updated":"2020-07-28T19:09:11Z","snapshot_observed_at":"2026-08-03T23:02:15.049607Z","submitted_at":"2020-07-28T19:09:11Z","title":"Towards Ecologically Valid Research on Language User Interfaces","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.14435","snapshot_observed_at":"2026-08-06T19:19:11.983243Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.983243Z"},"links":{"cited_paper":"/paper/2007.14435","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ae850d662e9d63728b1839b48ebcaa891221efdf27ecc854c093b64d7073a3dd","observation_id":"81361af4-3f71-4e61-a382-15a12d04bce2","resolution":{"observed_at":"2026-08-06T19:19:11.983243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:19:12.251550Z","title":null,"venue":null,"work_id":"2088479e-b331-4fb4-b5b7-42ffde534dd7","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.987548Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:abb135d1b67bba53c4ee16443bd57ecb51d37e1921773a694be2e117ba17301f","observation_id":"0b089857-9e81-4e82-9a30-2fc02fb7fb00","resolution":{"observed_at":"2026-08-06T19:19:12.255254Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.241474Z","title":null,"venue":null,"work_id":"6d188485-f713-4a98-acaa-697a32984e03","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.990722Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:1e2596db5bbe34d93390327f4da16895d5aefdb7507670840823fef69af4c484","observation_id":"a2af2568-1f1d-4eb7-bb0d-8623e5a1a890","resolution":{"observed_at":"2026-08-06T19:19:12.244857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14952","last_updated":"2024-03-22T05:05:45Z","snapshot_observed_at":"2026-08-13T00:48:10.930471Z","submitted_at":"2024-03-22T05:05:45Z","title":"Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14952","snapshot_observed_at":"2026-08-06T19:19:11.993835Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.993835Z"},"links":{"cited_paper":"/paper/2403.14952","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:6094a911d5afe1d9d96201f8b39bc531aa30dc0378f3cef44ee0daefecb57599","observation_id":"7c404b5b-f1d8-485a-b710-ac559a83057d","resolution":{"observed_at":"2026-08-06T19:19:11.993835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:19:12.230600Z","title":"and Wang, J","venue":null,"work_id":"6ba85f33-185d-45a5-ad7c-b7f01de1b61c","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:11.998540Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ff724c3e879c0b217ae8fbba2796e7ff2d2d64c25702a70f7223a672dd0a65f8","observation_id":"aef6d68c-d02e-4be7-921a-db655a354b24","resolution":{"observed_at":"2026-08-06T19:19:12.235341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.219515Z","title":null,"venue":null,"work_id":"e567f274-deb3-4e7f-813f-0b68a24776e8","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.002416Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:e2fbbc0c9a4f345dc828706b35f893a3c2061c87146b66ac5a37ed7a8ce47f65","observation_id":"0836f0f2-1805-42ae-a61e-d46ee84ee9e0","resolution":{"observed_at":"2026-08-06T19:19:12.223150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.207960Z","title":null,"venue":null,"work_id":"eb17a1a4-991e-43ff-b4f4-f1286c94d719","year":2021},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.005876Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:8390f6b11197509df1be5344d90ea410444a851c0baaab72a50371ffda033406","observation_id":"8975cc33-a6b3-4de8-87f8-c781e7fac377","resolution":{"observed_at":"2026-08-06T19:19:12.212317Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.197044Z","title":"T., and Romberg, J","venue":null,"work_id":"ee751544-f0d1-4a0c-b129-281597bd4922","year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.009497Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:17b2ebea942f0c17b514ef1690dac400cf35bce18749c7e2983e72034f9d24bb","observation_id":"9193e0fa-5848-42ee-a7b5-665684ac78d8","resolution":{"observed_at":"2026-08-06T19:19:12.200877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.183857Z","title":"T., and Romberg, J","venue":null,"work_id":"e409f7e5-5ca3-4b9f-b061-78b75e5e04a7","year":2024},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.012894Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:d320779f1365a83affcd6ea03d9d0a1c5b0c39b36d68b28e7ae8c4495fe65fbc","observation_id":"7e8daaa3-f609-4081-af26-eb0d527a6e5c","resolution":{"observed_at":"2026-08-06T19:19:12.188501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.171797Z","title":null,"venue":null,"work_id":"9c3f5829-a119-4975-8d34-c297afca5556","year":2018},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.016340Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:fc53a0446e30e580c8a0e72a74cc58396d49be0f9397db84eebba9d1b7ef7536","observation_id":"dacfb288-17f2-499f-bbb2-24c9245f61ba","resolution":{"observed_at":"2026-08-06T19:19:12.175899Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.160520Z","title":null,"venue":null,"work_id":"5729e603-f216-4c73-99b5-5e82b4332fb9","year":2023},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.019610Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:ea29ef979e9647304566b0f8aa059de8cde0e412c5a53cb1fff67b17dd55e281","observation_id":"e8ccb91d-6886-48e3-8d3e-c32d84c6dc07","resolution":{"observed_at":"2026-08-06T19:19:12.164934Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-06T19:19:12.150204Z","title":null,"venue":null,"work_id":"1da94155-f257-4ff1-968c-d494f5fa0fa1","year":2020},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.023194Z"},"links":{"citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:a01f3904f6365b5883a0c373ce01330056df30d2e6ad5dcc110d81badc4a9ec0","observation_id":"3b68f7d7-9499-4f80-995f-6b4776d4d08d","resolution":{"observed_at":"2026-08-06T19:19:12.153830Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.08277","last_updated":"2020-02-09T12:30:36Z","snapshot_observed_at":"2026-07-06T07:28:43.161359Z","submitted_at":"2019-01-24T08:25:29Z","title":"Federated Deep Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.08277","snapshot_observed_at":"2026-08-06T19:19:12.026037Z","title":"H., Feng, W., Lin, Y., Xu, Q., and Yang, Q","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-06T19:19:12.026037Z"},"links":{"cited_paper":"/paper/1901.08277","citing_paper":"/paper/2507.06278"},"observation_digest":"sha256:76d5a6f6fc7432cb44d82afb464fdba6cf07916fc6d5ab3a4c61faa44ea08d56","observation_id":"1c78533d-70de-4513-a341-2de3cc825b1f","resolution":{"observed_at":"2026-08-06T19:19:12.026037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.06278","last_updated":"2025-07-08T13:47:40Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-11T08:40:56.850223Z","submitted_at":"2025-07-08T13:47:40Z","title":"A Survey of Multi Agent Reinforcement Learning: Federated Learning and Cooperative and Noncooperative Decentralized Regimes"},"reference_resolution":{"displayed":80,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":44,"verified_exact":1,"verified_fuzzy":33},"total_outbound_references":80},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2507.06278."}