{"as_of":"2026-08-09T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8b364ec822aadeba51e67f5021c7eef9e76c681138ab3b97c5674dbdf3009bc","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:56:51.324782Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-15T11:57:24.591538Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-15T11:59:59.409656Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"cited_work":{"arxiv_id":"2505.21559","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.21559","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"In: arXiv.org","venue":null,"work_id":"241c808d-f58f-4ece-991f-00924e3012f3","year":2025},"citing_paper":{"arxiv_id":"2603.12031","last_updated":"2026-05-07T16:33:01Z","snapshot_observed_at":"2026-08-02T17:06:48.527098Z","submitted_at":"2026-03-12T15:09:48Z","title":"AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-15T11:57:24.591538Z"},"links":{"cited_paper":"/paper/2505.21559","citing_paper":"/paper/2603.12031"},"observation_digest":"sha256:c5e6bc5cd4e742e31d306e04968b685f512ca9255371387c86cc4c2f18e06b44","observation_id":"e867186d-89ec-44d4-8842-f5dab9cd45e4","resolution":{"observed_at":"2026-05-15T11:59:59.411958Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.21559/citation-record","integrity":"/paper/2505.21559/integrity","json":"/paper/2505.21559/citation-record.json","paper":"/paper/2505.21559"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:56:55.637839Z","title":"Cloud container technologies: A state-of-the-art review,","venue":null,"work_id":"e3d38257-86d9-4989-9928-79b21618647a","year":2019},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.319713Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:c5e1560353cef35b01e6201cb4b1e1e67be3b6da90a4cbef2a87ae01505723af","observation_id":"fdc01208-2a75-457b-800c-0de9aec91dd1","resolution":{"observed_at":"2026-08-07T13:56:55.679936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.541122Z","title":"Adaptive ai-based auto- scaling for kubernetes,","venue":null,"work_id":"d53af6a6-4642-4b6f-8705-5df0b722a388","year":2020},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.361366Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:d7d35a0472222dbb99c0c78dd52a1d4fa7a7eb8b124af913023e07f5dc5a867e","observation_id":"2968bc47-c0f8-408a-aaf2-e2b468c8f2e8","resolution":{"observed_at":"2026-08-07T13:56:55.587949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.450593Z","title":"Borg, omega, and kubernetes,","venue":null,"work_id":"f215d757-f83c-43fe-8ba4-2f4ce5a6a720","year":2016},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.404147Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:e65f32ad104ef9d899852b70b69dfdaa94aa9c6a043a0b9b8a70a83475983b64","observation_id":"6a121b56-f1fe-4548-b14b-fb9b6894d20e","resolution":{"observed_at":"2026-08-07T13:56:55.486218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.372387Z","title":"Kubernetes auto-scaling: Yoyo attack vulnerability and mitigation,","venue":null,"work_id":"791b6a86-9ecd-4147-8846-472ed98ccd60","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.467750Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:79aff019f3cacfb13806c0719ce7a57e721012c1f1dbd5e5f0f0a2dfc60e3357","observation_id":"606f3170-7eb5-498d-b255-316b69d876a9","resolution":{"observed_at":"2026-08-07T13:56:55.403114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.263521Z","title":"Reinforcement learning-based application autoscaling in the cloud: A survey,","venue":null,"work_id":"651ca11a-2600-4092-9286-02a570bd0a9d","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.582732Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:a0865548c262a3497c0d8415cf6a8479ecdab50922deff3821d4a62661314407","observation_id":"2843154b-fcb3-46f1-bad5-8b7f9c0a7928","resolution":{"observed_at":"2026-08-07T13:56:55.315374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.137705Z","title":"Scaling up multi- agent reinforcement learning: An extensive survey on scalability issues,","venue":null,"work_id":"7f5876e6-898a-45c5-8306-44f431c9d4f8","year":2024},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.635148Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:cab90c6442dda828413976775341b8a5f23b15a19e1393cbbd08c290f762c87c","observation_id":"3e8e5972-2054-4a30-b007-47d51fc87678","resolution":{"observed_at":"2026-08-07T13:56:55.184870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:55.010401Z","title":"Shoham and K","venue":null,"work_id":"d430b468-3c3a-47e5-b587-bd39d0416afe","year":2009},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.745220Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:50835d0b642e61d0149ee9d0b3f8b2bce44e13074e9a296940348eea44c96904","observation_id":"e6651a05-e248-414c-ae9e-22840194875c","resolution":{"observed_at":"2026-08-07T13:56:55.064919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.867870Z","title":"Applications of intelligent agents,","venue":null,"work_id":"af1634f6-ac11-4744-9dd5-78101e96cec9","year":1998},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.818489Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:0d2586afda1e2fb7173c98c032c4d71acacbba0209c179483a33175bb96152b1","observation_id":"fcda8e57-e9a7-4dfc-98bb-2e2f79662c85","resolution":{"observed_at":"2026-08-07T13:56:54.917690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.727373Z","title":"Kott and M","venue":null,"work_id":"579c8978-2382-408b-aa98-3e064601c613","year":2018},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.880959Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:4a56ecc76acac950d76801854dc7ca083fa6f918f2ee9c6918f2b9c1060fb2b9","observation_id":"88b664ce-8fd9-4533-8538-b6b75b9aa811","resolution":{"observed_at":"2026-08-07T13:56:54.777867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.608092Z","title":"A marl-based approach for easing mas organization engineering,","venue":null,"work_id":"419d1a69-c8ca-473b-9f0c-6045c8c7cf8e","year":2024},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:49.953639Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:7aecc76fdd2f17d6cb7e02bceaeb86fa2f1e90494d5a24b1c7efa07c015682d2","observation_id":"43335e63-00b3-4d1b-a497-fef5e5df126a","resolution":{"observed_at":"2026-08-07T13:56:54.665735Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.499668Z","title":"AW ARE: Automate workload autoscaling with reinforcement learning in production cloud systems,","venue":null,"work_id":"4753eedb-a6ec-49de-8faa-f106339ce300","year":2023},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.011392Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:ef378c587630d718821636c379462e3a573ad89922bd7eb0d699f59bf2a0c0b5","observation_id":"1e8c8046-8584-4842-a180-fd5f59dd8e5f","resolution":{"observed_at":"2026-08-07T13:56:54.555717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.325157Z","title":"gym-hpa: Efficient auto-scaling via reinforcement learning for complex microservice-based applications in kubernetes,","venue":null,"work_id":"2ff58a66-9986-412c-852c-1ae8fbf99bbc","year":2023},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.068387Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:5e6d4e26e09f76a949e856b7bd6e2af5ee3ab4e33395d5e6c3aec143172fdbee","observation_id":"ad00b130-1c00-49b0-9540-2839622495c6","resolution":{"observed_at":"2026-08-07T13:56:54.429468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.191121Z","title":"Horizontal and vertical scaling of container-based applications using reinforcement learning,","venue":null,"work_id":"23d79cd3-db9b-4023-8612-f281a42cd461","year":2019},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.164395Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:e20273c94367397ca011e4fa2994d8cdaec65d7179cc5ac3abbab8cabd9c9e7b","observation_id":"a101eae6-e0ee-4d91-99ef-9038f1bc1b30","resolution":{"observed_at":"2026-08-07T13:56:54.251218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:54.010941Z","title":"Development of qos-aware agents with reinforcement learning for autoscaling of microservices on the cloud,","venue":null,"work_id":"e5632b51-3a15-4416-8588-ed89d9d22c18","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.241354Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:a3dc8b049182734834df4af5fdfaf813154ed386265ff30f2b039dc284849f28","observation_id":"e5b29a21-fdbe-4d5c-8df0-9b204e62c246","resolution":{"observed_at":"2026-08-07T13:56:54.075505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.910638Z","title":"Ahpa: Adaptive horizontal pod autoscaling systems on alibaba cloud container service for kubernetes,","venue":null,"work_id":"3ed73fbe-c5b8-4031-a274-03113e54f69b","year":2024},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.320742Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:470181115b7162f8176ec7b8f0e92492f89fe0da7f4bb683ad817976f71261b9","observation_id":"ab5bdf6e-f06e-40d2-88ad-056bdabe3a9e","resolution":{"observed_at":"2026-08-07T13:56:53.965020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.816984Z","title":"Kosmos: Vertical and horizontal resource autoscaling for kubernetes,","venue":null,"work_id":"534eae82-690c-4647-81ca-ce4d19e23461","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.413047Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:cea8bf6485484f341c0529bd16e632301bdcf43263320f950f0ca641b34cc57a","observation_id":"30c4c8f5-8bad-4a6f-a528-39ff07a04ed7","resolution":{"observed_at":"2026-08-07T13:56:53.856623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.736122Z","title":"Copa: A combined autoscaling method for kubernetes,","venue":null,"work_id":"12ca733d-d12b-4782-8abe-820fd0331065","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.486354Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:887934e7325d94a541669038ae8e612463b0a94ccdda8bacb800a58a5e7fc893","observation_id":"56836034-69df-4a0e-aeac-f9eb3e36dad3","resolution":{"observed_at":"2026-08-07T13:56:53.771051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.624806Z","title":"Kubernetes scheduling: Taxonomy, ongoing issues and challenges,","venue":null,"work_id":"e29403c8-2cb5-482c-ba60-bec92dbf07c8","year":2022},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.555260Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:640450fa1e5973fdc6eb2b91f452f0e7e368d987aeefcd5fe9f96ff38be654ad","observation_id":"a6e77a06-b7fd-47c3-8c4f-4f479da742cc","resolution":{"observed_at":"2026-08-07T13:56:53.668723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.516004Z","title":"A survey of autoscaling in kubernetes,","venue":null,"work_id":"5c44881d-5e0c-45e1-a012-e711b30a3192","year":2022},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.602798Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:4eaea599310ad9d52b5c39f16fb3191c831f117cc61043bf523ff92200647756","observation_id":"24037f17-cef0-4573-b66a-1fc729a50420","resolution":{"observed_at":"2026-08-07T13:56:53.570268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.413132Z","title":"Prometheus - monitoring system and time series database,","venue":null,"work_id":"395ed95a-3195-4ac8-9573-c1cff632aa6b","year":2012},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.642187Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:85751541fb6f682db8910548ca715dc8d815de5e252af68d5c6f87518dc2075c","observation_id":"7c26350b-f50f-4145-9619-9607d10528f3","resolution":{"observed_at":"2026-08-07T13:56:53.471803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.328452Z","title":"Stochastic games,","venue":null,"work_id":"13f494bb-7da0-4c8a-ad46-a9d34da3033f","year":1953},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.725472Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:23c724ed82796535824eaaad9750298ba87bab6fad81139008817443101ce533","observation_id":"bb05b4d3-ca2e-4e98-b9f7-ecee955a60b5","resolution":{"observed_at":"2026-08-07T13:56:53.364072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:53.187270Z","title":"The action spaces in openai gym,","venue":null,"work_id":"722ac932-a83d-4a3a-af6f-60a9c496128f","year":2022},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.782771Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:26d21cb66a077204c1ff53abc6925ac71fd38f1eb13eb653c3c61a48589ebdd4","observation_id":"59b31c94-06ee-4d9c-820b-2e84b2e5ad20","resolution":{"observed_at":"2026-08-07T13:56:53.281920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:52.979458Z","title":"Pettingzoo: Gym for multi-agent reinforcement learning,","venue":null,"work_id":"7d47b5b3-5c09-4eb2-8c29-9c57bfba5bb8","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.843938Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:3a4bf685407f93c2f14e094d6d4634da98160dccc645d6cbaac048ae49395bd3","observation_id":"0db0ff1c-63c3-40f8-917c-16736d54fd6e","resolution":{"observed_at":"2026-08-07T13:56:53.072376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:52.788140Z","title":"The surprising effectiveness of ppo in cooperative multi-agent games,","venue":null,"work_id":"4dcbe1b1-fc19-4d26-9dae-82a8e80c881b","year":2022},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.884679Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:525097c8a84b0bfacc39cd0e745e4993ecba6b5fdc1a5ce709dc0e1d2895642e","observation_id":"e52e7ca6-9a22-4a08-970b-16370230556b","resolution":{"observed_at":"2026-08-07T13:56:52.880926Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:52.498463Z","title":"Optuna: A next-generation hyperparameter op- timization framework,","venue":null,"work_id":"a2c77ef8-df19-4516-820c-3dc18c3c5dbf","year":2019},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:50.981867Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:15d3712c795bf6041caeb0b3aa34df8dfb0a34262faf21d56b68715f68f97f97","observation_id":"0979c23b-9d45-4e26-8af2-06afb611a97e","resolution":{"observed_at":"2026-08-07T13:56:52.644719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:52.247717Z","title":"Using dynamic time warping to find patterns in time series,","venue":null,"work_id":"831215f1-c700-408a-8453-a3620975fde1","year":1994},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.035303Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:0f85447e67dcd22c56396116cac88e3e4f16b48480b1747657bb54e19ef323d3","observation_id":"847ede24-e0c6-43b5-937f-f62a424c46c0","resolution":{"observed_at":"2026-08-07T13:56:52.395523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:52.070132Z","title":"Moise+: Towards a structural, functional, and deontic model for multi-agent organizations,","venue":null,"work_id":"4fbb2936-1585-464f-8fa4-9d89b1f0f2d1","year":2002},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.075806Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:5a80963a4d8c69d58b89f9ec873a2f272743b450edf0bd4d1cc85ac80a9764ef","observation_id":"7fffb3d0-8171-40e7-a58f-baa036babba7","resolution":{"observed_at":"2026-08-07T13:56:52.136973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:51.919650Z","title":null,"venue":null,"work_id":"95112bac-e43c-4a67-891d-81c05a3ea67c","year":2021},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.123432Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:3ed2c5ad33bb69046f9e8d91902ff630536d58c84e8ba755dd5ca6cd0a7049d6","observation_id":"d7fc8d0f-0dfa-4a5a-9d74-689cdf89ab42","resolution":{"observed_at":"2026-08-07T13:56:52.005033Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.10664","last_updated":"2023-03-22T14:01:19Z","snapshot_observed_at":"2026-07-06T06:30:42.880446Z","submitted_at":"2018-03-28T14:55:53Z","title":"Autonomous Intelligent Cyber-defense Agent (AICA) Reference Architecture. Release 2.0","version":3},"cited_work":{"arxiv_id":"1803.10664","doi":null,"metadata_source":"pith","pith_arxiv_id":"1803.10664","snapshot_observed_at":"2026-08-07T13:56:51.400323Z","title":"Autonomous Intelligent Cyber-defense Agent (AICA) Reference Architecture. Release 2.0","venue":"cs.CR","work_id":"2054f4b7-e4ff-4b85-9667-6f39993fade9","year":2018},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.169962Z"},"links":{"cited_paper":"/paper/1803.10664","citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:d0223a3cd16a31c2e080ee91f3cc26223da6e264887ff5694760b6de6d5b4751","observation_id":"b3a0306f-cf90-4729-9c22-6ed909395bfe","resolution":{"observed_at":"2026-08-07T13:56:51.453390Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:51.789111Z","title":"Deep reinforcement learning based smart mitigation of ddos flooding in software-defined networks,","venue":null,"work_id":"fdd3c7c8-7a71-4840-97a6-269573feed98","year":2018},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.214886Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:94e2d389c77531da0b514a5f66b997c2382c8d734f475fa9c80420449fe1a0dd","observation_id":"e2e27bc0-f5b9-4685-8194-0579706c417a","resolution":{"observed_at":"2026-08-07T13:56:51.871328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:51.628235Z","title":"Shahrad, Resource-efficient Management of Large-scale Public Cloud Systems","venue":null,"work_id":"c371959a-7caf-46ec-959c-7df3cf5df924","year":2020},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.260951Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:fafe0cc9caa50110ae0ca673c6f767e7fd84672192cbeac81a39b12a2ebf53b2","observation_id":"7ea386e9-915a-4a33-af00-feacc6b8fdd7","resolution":{"observed_at":"2026-08-07T13:56:51.680568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T13:56:51.512311Z","title":"A comprehensive survey on container resource allocation approaches in cloud computing: State-of-the-art and research challenges,","venue":null,"work_id":"fe54da93-0419-4c1f-9afc-3baab8f22b88","year":2022},"citing_paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:56:51.324782Z"},"links":{"citing_paper":"/paper/2505.21559"},"observation_digest":"sha256:3fc3a02bc61805c7b74e30d62de443e77745a31075ff361d4059b8a9b429bc6a","observation_id":"fe7552f1-f81c-4d86-b0fa-1ddc54ace788","resolution":{"observed_at":"2026-08-07T13:56:51.574151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.21559","last_updated":"2025-05-26T20:39:31Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-07T13:50:33.445202Z","submitted_at":"2025-05-26T20:39:31Z","title":"Streamlining Resilient Kubernetes Autoscaling with Multi-Agent Systems via an Automated Online Design Framework"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":30},"total_outbound_references":32},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2505.21559."}