{"as_of":"2026-08-16T22:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:56455711231c2113a70c0f1fd67e8bd7ebfc87b249286f54b45a41765aa9f7bd","coverage":[{"denominator":59,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":59,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T15:07:17.949024Z","state":"measured"},{"denominator":59,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":59,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2608.02826/citation-record","integrity":"/paper/2608.02826/integrity","json":"/paper/2608.02826/citation-record.json","paper":"/paper/2608.02826"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T15:07:18.641195Z","title":"Abanin, Laleh Aghababaie-Beni, Igor Aleiner, Trond I","venue":null,"work_id":"50fbe7af-e590-4517-8e2f-6879be787811","year":2025},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.728739Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:7a074c55fd43445584aa8d5b7e08c8649e17426cbe24eb1729b6b84d6c06800e","observation_id":"76fdd918-7bd3-4e42-913b-042422c4c0d2","resolution":{"observed_at":"2026-08-15T15:07:18.646160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.627892Z","title":"An introduction to quantum machine learning: from quantum logic to quantum deep learning.Quantum Machine Intelligence, 3(2):28, Nov 2021","venue":null,"work_id":"309e2eab-cee3-4f32-9faf-22fbb46440c3","year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.733438Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:ae5ec15679d12e63e67a8cbf583c06aecafd7d688eec5292109ab33ba88fbe5d","observation_id":"85d247fb-41c2-425b-9c94-72b505e32164","resolution":{"observed_at":"2026-08-15T15:07:18.632320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.616904Z","title":"Doriguello, Alessandro Luongo, and Miklos Santha","venue":null,"work_id":"62509d48-aff9-4a5c-8885-800a1681695f","year":2024},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.738304Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:e8a47857b68d468639f87e8abd53d4e6d233b753bead4a39bfc43c4b8efdd8f0","observation_id":"37408673-af90-494d-a973-0ef87c4374eb","resolution":{"observed_at":"2026-08-15T15:07:18.620663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.22854","last_updated":"2026-07-16T17:57:33Z","snapshot_observed_at":"2026-08-16T17:42:05.729524Z","submitted_at":"2025-07-30T17:24:23Z","title":"A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model","version":3},"cited_work":{"arxiv_id":"2507.22854","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.22854","snapshot_observed_at":"2026-08-15T15:07:18.042953Z","title":"A Bit of Freedom Goes a Long Way: Classical and Quantum Algorithms for Reinforcement Learning under a Generative Model","venue":"cs.LG","work_id":"bea88319-9ef2-4520-9f29-39f9a8260c29","year":2025},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.743225Z"},"links":{"cited_paper":"/paper/2507.22854","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:74abc4993886dd7c6cc0b415a9f2acd821e91c39f4990481172686a0ed61786a","observation_id":"73a7406c-769d-4718-a6bd-433367a55a14","resolution":{"observed_at":"2026-08-15T15:07:18.047918Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.606224Z","title":"Bardin, Rami Barends, Rupak Biswas, Sergio Boixo, Fernando G","venue":null,"work_id":"546ebbe6-f51b-49ff-a9ac-e56463d00383","year":2019},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.747616Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:c097f4d5ebed2d05c8850574bceaa62585907428244a73b4b35438c3ac1390ef","observation_id":"e4e43875-34a1-4d4f-b359-f08200ae3e38","resolution":{"observed_at":"2026-08-15T15:07:18.609973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.594600Z","title":"Optimal control of Markov processes with incomplete state information I.Journal of mathematical analysis and applications, 10:174–205, 1965","venue":null,"work_id":"fd639091-f2d9-4b66-9657-e3f4177ed300","year":1965},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.751841Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:cf10bbc22504466e682da3c2c447eec49d0cbb3d37dcb8413d79adddae049ae1","observation_id":"864ff43d-0202-4ab3-b0a1-db2c8fc5b5a5","resolution":{"observed_at":"2026-08-15T15:07:18.598404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.583714Z","title":"Springer Science & Business Media, 2011","venue":null,"work_id":"d3cba3a9-da42-4876-8c8c-f46ea147c35f","year":2011},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.755947Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:fffad6f0946c0e8f74b83783f302475979392e31de35336ef0ee47a7c5ca661e","observation_id":"4f90531e-a76b-43c4-8fb0-34c1324b86ad","resolution":{"observed_at":"2026-08-15T15:07:18.587406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.572940Z","title":"Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach.Artificial intelligence in medicine, 57(1):9–19, 2013","venue":null,"work_id":"db561fb2-2363-4fb9-9bef-1855e71dbc7f","year":2013},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.759697Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a7cbbde20e6f13e5cac56380219de595f7725e89312d1bf3f497d63f92824783","observation_id":"74f13b6c-50b0-4a0a-9421-e36ce1843644","resolution":{"observed_at":"2026-08-15T15:07:18.576857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.561942Z","title":"Athena scientific, 2012","venue":null,"work_id":"456dc39e-5055-42ea-9636-3e1918435e8d","year":2012},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.763140Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:79886b76599cd33087b5d654c98527a58ce36cf6ca88c1e75a5a6f0883de47a4","observation_id":"30989889-863a-4340-91ee-44918bc453a2","resolution":{"observed_at":"2026-08-15T15:07:18.565374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.551433Z","title":"Athena Scientific, 2022","venue":null,"work_id":"85cfd9f2-f388-4958-b35f-71cd10c7e98f","year":2022},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.767268Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:538b3f077cc35ff5ab6ff44c2cf53a62e3c3ade49fc57c9c818bdfe3a2699c96","observation_id":"d44b796c-d79f-412a-9d46-d009bc1ba4f9","resolution":{"observed_at":"2026-08-15T15:07:18.555073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.540850Z","title":"Quantum machine learning.Nature, 549(7671):195–202, Sep 2017","venue":null,"work_id":"2be84769-3461-4943-ad0b-62eb43eb58af","year":2017},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.771576Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a924dbf576419f58453c3934b216860f7a484a9af321941e31a78672e3f8c9dd","observation_id":"3f6e532e-5997-42cc-bff4-734a7f1509d0","resolution":{"observed_at":"2026-08-15T15:07:18.544609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.529966Z","title":"Distributed autonomous virtual resource management in datacenters using finite-Markov decision process","venue":null,"work_id":"2df5043f-6285-4bc1-9616-7688865608cc","year":2014},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.775392Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:eae776fedc8d3099d9f19c8e750cad6b7ec508246502909032ae03d59cda709b","observation_id":"98f0a11c-1f32-4c28-b6bc-a8cd0d2e499a","resolution":{"observed_at":"2026-08-15T15:07:18.533933Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.13086","last_updated":"2022-07-19T10:59:29Z","snapshot_observed_at":"2026-08-16T17:46:44.089954Z","submitted_at":"2021-10-25T16:26:37Z","title":"Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.13086","snapshot_observed_at":"2026-08-15T15:07:17.778989Z","title":"Quantum algorithms and lower bounds for linear regres- sion with norm constraints.arXiv preprint arXiv:2110.13086, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.778989Z"},"links":{"cited_paper":"/paper/2110.13086","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:53209c0bba0c5e54b1b62f2255d0366d3be12cb0c04e81c0b23e0b57048194f3","observation_id":"2809a7d0-3c42-405e-9da5-f27f7fd01c74","resolution":{"observed_at":"2026-08-15T15:07:17.778989Z","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":"2026-08-15T15:07:18.518289Z","title":"Oberoi, and Pooya Ron- agh","venue":null,"work_id":"4736a56c-ebec-435e-b25d-e4a573687118","year":2018},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.783294Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a2e14fd375c53ff02290454a06f0c87c68d7c5108f28ba23b7c793855aa453a4","observation_id":"6b5ab5a9-bb43-48f1-b977-097dd4d671e2","resolution":{"observed_at":"2026-08-15T15:07:18.522967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.506875Z","title":"Quantum reinforcement learning.IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 38(5):1207–1220, 2008","venue":null,"work_id":"7e54d44f-d4ee-488d-b25b-730ff70282a5","year":2008},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.787765Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:85a36b8ed318a8955e50a966ab0cb115652334d2b8d259f87349469fc1f00ead","observation_id":"3a979d2c-0726-4b84-a521-a4df185ec708","resolution":{"observed_at":"2026-08-15T15:07:18.510832Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.09701","last_updated":"2025-07-17T16:35:19Z","snapshot_observed_at":"2026-08-16T15:07:28.645018Z","submitted_at":"2023-08-18T17:52:12Z","title":"Do you know what q-means?","version":3},"cited_work":{"arxiv_id":"2308.09701","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.09701","snapshot_observed_at":"2026-08-15T15:07:18.012474Z","title":"Do you know what q-means?","venue":"quant-ph","work_id":"ce182d13-171e-4be2-9629-1170fb1f67a5","year":2023},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.791383Z"},"links":{"cited_paper":"/paper/2308.09701","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:70c4578584b6cd6b003fec82561599229098ad4f1b15c1ab133e28ff6c35e8d0","observation_id":"c3ad0f1d-bd4a-4b5d-b30c-6ddc0e1ee8c1","resolution":{"observed_at":"2026-08-15T15:07:18.017727Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"quant-ph/9607014","last_updated":"1999-01-07T16:50:45Z","snapshot_observed_at":"2026-08-12T22:54:40.402900Z","submitted_at":"1996-07-18T19:12:42Z","title":"A Quantum Algorithm for Finding the Minimum","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"quant-ph/9607014","snapshot_observed_at":"2026-08-15T15:07:17.796253Z","title":"A quantum algorithm for finding the minimum.arXiv preprint quant-ph/9607014, 1996","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.796253Z"},"links":{"cited_paper":"/paper/quant-ph/9607014","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:d4bc8bb932146facdad5e57137a4d0477a774166cfec3f05f1faedd215f1cd13","observation_id":"f5cf0bcd-db74-484a-9c30-d2cca021790e","resolution":{"observed_at":"2026-08-15T15:07:17.796253Z","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":"2026-08-15T15:07:18.496081Z","title":"Springer Science & Business Media, 2012","venue":null,"work_id":"b0242b31-9271-42e4-b0ba-239de26417bd","year":2012},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.800484Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:59d9b222fe7f97a7555adac7f9ce7d6188a2ecf51d9f61d12915a9a0b31bac13","observation_id":"17852fab-f591-4266-b696-76175f05ec1a","resolution":{"observed_at":"2026-08-15T15:07:18.499851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.485295Z","title":null,"venue":null,"work_id":"e0613404-e473-439b-8ddf-d78ef6713d9f","year":2013},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.804071Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:cda49d4cb0d41c15e3dcd104b0e76d6336ca87d161fe5095db6cd9c9af4b4e0e","observation_id":"b78a6104-f4bf-483d-a43d-da2474b6e3fd","resolution":{"observed_at":"2026-08-15T15:07:18.489165Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.473544Z","title":"Architectures for a quantum random access memory.Phys","venue":null,"work_id":"6318709f-d002-4b8a-8b8d-0f0ec887f1a0","year":2008},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.807790Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:7c49d2650d60272688e65f45f847f95db884e114e16e69c0f4c95b0f3c0c0b3d","observation_id":"cb725a40-5257-4948-8d49-2b04415cf7a3","resolution":{"observed_at":"2026-08-15T15:07:18.477208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.462513Z","title":"Quantum random access memory","venue":null,"work_id":"b6af2649-b3e4-428e-90d3-c726e7ca691a","year":2008},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.811653Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:2cc58810b67dc5694c23fcdbf532f8f8da5db7c71bbf2f62eec22cf7e6934812","observation_id":"2a3c6c84-5a44-4691-a93c-07e7b44bdfd3","resolution":{"observed_at":"2026-08-15T15:07:18.465944Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.451715Z","title":"A fast quantum mechanical algorithm for database search","venue":null,"work_id":"1edb58e2-29b9-406c-950f-36d39db70850","year":1996},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.815293Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:dfb93b0633de71b58f9e858d9c26f4656e12099240cccb99656ed55e39812dc4","observation_id":"fa4686bb-2bfe-4091-afdc-5aa80df6f518","resolution":{"observed_at":"2026-08-15T15:07:18.455360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.441537Z","title":"Theses, Universit´ e Paris Cit´ e, July 2021","venue":null,"work_id":"e189dae2-782d-4b2a-9fb7-c218279ea598","year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.818918Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:5b7ce2dda11fd2d8bac01ef85be09cd760406f4a6ff9443d838dbf0350fbf85c","observation_id":"cf12dd33-18e0-4e1b-8426-952f7d123e7a","resolution":{"observed_at":"2026-08-15T15:07:18.444985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.430875Z","title":"Quantum Sub-Gaussian Mean Estimator","venue":null,"work_id":"cb733108-eaf6-4538-8920-13e22314e27f","year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.822440Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:593d54eeaa12b36e76b15ac5944a0f59a3a3ed86f0ce88600c0ec3c5b5b8d898","observation_id":"229cef5e-4b19-4a10-ac0a-937ae61ae0cb","resolution":{"observed_at":"2026-08-15T15:07:18.434736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.418995Z","title":"Quantum Chebyshev’s Inequality and Applica- tions","venue":null,"work_id":"0071fb2a-9732-450f-90dc-4f0b3ddec2ca","year":2019},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.826057Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:78f7e36f570bedbf97231a2bb4a159530ebcc662386d0b6dc70ca4b24c0e3985","observation_id":"48e8c4f8-efbc-4abe-9edc-0a84498d2d39","resolution":{"observed_at":"2026-08-15T15:07:18.422829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.406808Z","title":"Harrow, Avinatan Hassidim, and Seth Lloyd","venue":null,"work_id":"7a96f75b-e24c-41bf-a852-b45dfc2b1bc2","year":2009},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.829395Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:638b3bb832583279037e7345a7a0d307ed9a29b20dcf981680f3a139da38798e","observation_id":"5adfd34a-b7e5-46b1-945c-4576bd52103b","resolution":{"observed_at":"2026-08-15T15:07:18.411363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.394719Z","title":"Springer Science & Business Media, 2007","venue":null,"work_id":"0db7e641-e7eb-458c-a63f-79bf0ac13692","year":2007},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.833505Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:0392b7d657bff72781b5f3f43b58196254f175a0a426ab2eb89e921260979a77","observation_id":"91a210ff-3ebd-47e9-84a8-70e67bfe553f","resolution":{"observed_at":"2026-08-15T15:07:18.398925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.384309Z","title":null,"venue":null,"work_id":"8dae137d-8371-4a54-9619-8ed2da8ac71c","year":1922},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.836965Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:11bdadeb4c87f1983a1a2423aa203a0cab56d5c5e4c7b0ae8e68afe01110e563","observation_id":"1b2c57c7-c34c-4c59-8a1b-efc817b8d854","resolution":{"observed_at":"2026-08-15T15:07:18.387764Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.374127Z","title":"Quantum Policy Gra- dient Algorithms","venue":null,"work_id":"ea5a3deb-be53-4f37-a412-57452653cc4d","year":2023},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.840354Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:9e2b23279a3d3b4da18ffcad4947996e7b236a93f412c18538777b649fd17f48","observation_id":"c1367d74-a346-4546-b394-8a8db37d8a2f","resolution":{"observed_at":"2026-08-15T15:07:18.377523Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.362874Z","title":"Uni- versity of London, University College London (United Kingdom), 2003","venue":null,"work_id":"afedf7ed-3989-4e41-812b-bca15fe39e7c","year":2003},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.844015Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:29ab471301bd05936d4df4abe5140ac4d1dc5b07b565d6fc7773b59b7b6f5ce0","observation_id":"94c45e17-edd7-4756-951a-69fcd08d4e7b","resolution":{"observed_at":"2026-08-15T15:07:18.366844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.352250Z","title":null,"venue":null,"work_id":"5051b6bd-4e54-48e9-89f4-4bffa2e58889","year":2002},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.848051Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:c8a548409e0e2d59458072399afdf26b010d947753277b092e4a022a998b003d","observation_id":"f0b51de7-2ee8-411f-8847-25b948fa0184","resolution":{"observed_at":"2026-08-15T15:07:18.356005Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.340516Z","title":"Finite-sample convergence rates for Q-learning and indirect algorithms.Advances in neural information processing systems, 11, 1998","venue":null,"work_id":"e9e51274-544b-46e1-be83-6984012db218","year":1998},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.851498Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:52d2ec6163513d5da927e24ef6502646d7bdec3a1c166f7705998b8353daa863","observation_id":"60e83481-2558-4740-993f-f286326e8be2","resolution":{"observed_at":"2026-08-15T15:07:18.344788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.329804Z","title":"Finite-sample convergence rates for Q-learning and indirect algorithms","venue":null,"work_id":"8e9222eb-deb2-4ebf-a494-76e4cc087731","year":1998},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.854812Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:f05e9101cdf7182d2e107637dcd255d3463d286db6a92c6b5593b6afc3e0d188","observation_id":"039d77a4-2c71-4c95-8226-9dbf7049fea3","resolution":{"observed_at":"2026-08-15T15:07:18.333506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.318423Z","title":"q-means: A quantum algorithm for unsupervised machine learning","venue":null,"work_id":"15bbef21-cdd3-472e-aaf8-6f4292346aa7","year":2019},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.858454Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:4843a0385340ce667775a68625aa27c0d5bc781e3e1e37811d789c94662cc918","observation_id":"d0831de8-d230-4a96-b0d0-d35ed27b3296","resolution":{"observed_at":"2026-08-15T15:07:18.322662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.306734Z","title":"Quantum Recommendation Systems","venue":null,"work_id":"de354699-0cf1-4230-9c28-4c97e982fbd8","year":2017},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.862662Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:1a6ff9ee707e61a034774a5769abcef014c5a662e43d41d1b892e7efeb5d5616","observation_id":"16568c67-4190-4663-b979-ea1f049b906a","resolution":{"observed_at":"2026-08-15T15:07:18.310644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.294371Z","title":"Mean estimation when you have the source code; or, quantum Monte Carlo methods","venue":null,"work_id":"e7be2460-366b-448a-91fe-296e83c136b4","year":2023},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.866528Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:ca0699de3203463ae057bab347cb5f8885f09f76f9800a6b717119ecda2994b7","observation_id":"9b5e63d1-1c1d-4db8-a459-11156ea50159","resolution":{"observed_at":"2026-08-15T15:07:18.299328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.282429Z","title":"Breaking the sample size barrier in model-based reinforcement learning with a generative model","venue":null,"work_id":"671497f5-08dd-409c-b652-8ab39272bb8e","year":2020},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.869903Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a4a3d0a83249230c4a2267667dd1c6bf264109fdfa6d0e75d429b241c691642e","observation_id":"6e4dd1bb-79b2-43c2-96c6-a314569af390","resolution":{"observed_at":"2026-08-15T15:07:18.286831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1307.0411","last_updated":"2013-11-04T22:51:55Z","snapshot_observed_at":"2026-08-15T00:12:12.254803Z","submitted_at":"2013-07-01T15:38:12Z","title":"Quantum algorithms for supervised and unsupervised machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1307.0411","snapshot_observed_at":"2026-08-15T15:07:17.873345Z","title":"Quantum algorithms for supervised and unsupervised machine learning.arXiv preprint arXiv:1307.0411, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.873345Z"},"links":{"cited_paper":"/paper/1307.0411","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:408e4fc637ad8b80af034cb1b95414b740d89027c9c96218c3312813b5ced068","observation_id":"c8adb182-bc25-448f-806c-d74ec21f4db1","resolution":{"observed_at":"2026-08-15T15:07:17.873345Z","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":"2026-08-15T15:07:18.271925Z","title":null,"venue":null,"work_id":"4d922d44-390c-436a-8b0c-f15accb235f3","year":2025},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.877647Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:be0eeb9bcc540c01674de67de1760a2625068019485bfc7c3e7c5b36b0dd8d50","observation_id":"a055fbe5-0ecb-43d5-8ba7-87097e58dd05","resolution":{"observed_at":"2026-08-15T15:07:18.275513Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.261258Z","title":"Quantum speedup of Monte Carlo methods.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 471(2181):20150301, 2015","venue":null,"work_id":"00117f21-4608-4e8e-bb83-bdaec1230ef3","year":2015},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.880902Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:770e96c07e3adf7213ef1907294d5400bae72faba5b4173a080c3f74d864ed12","observation_id":"4822e019-28ef-4d58-836f-49a44bc3df0f","resolution":{"observed_at":"2026-08-15T15:07:18.265223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.250637Z","title":"Springer Nature, 2022","venue":null,"work_id":"177a5b1b-61a2-4fa8-9f3e-39d4e248adc0","year":2022},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.884377Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:6afc0b82ed30a46cf5bf2fdfd7fd6aae8b0bc38e5e1379f78fca87f52901ed74","observation_id":"1408c7db-2adc-4fbf-bb52-9abb25f8c598","resolution":{"observed_at":"2026-08-15T15:07:18.254310Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.238612Z","title":"Cambridge university press, 2010","venue":null,"work_id":"19f02fa9-ae9c-4cac-b736-0b6e014fdf8d","year":2010},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.887660Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:3dd1c124545deae9bf7c0749b7cfea1ce43015d213f482490d58d3dd213c58a1","observation_id":"b72b90ba-6da9-49fb-a805-36dfd2a1a2b1","resolution":{"observed_at":"2026-08-15T15:07:18.242924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.226581Z","title":"John Wiley & Sons, 2007","venue":null,"work_id":"2f046f91-93e1-43de-8129-7bd92f9e75e6","year":2007},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.891079Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a3cb3be5100e5b5f3b70748672458c6b3ee40388f3be2c9520be3ca8b92b7202","observation_id":"88199678-b974-48fd-b53c-dc94d2a24bd7","resolution":{"observed_at":"2026-08-15T15:07:18.230589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.213922Z","title":"John Wiley & Sons, 2014","venue":null,"work_id":"cee80c89-791f-4918-b91c-2d08c6035a0e","year":2014},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.894929Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:060c12621d1419ebb7b82d86a6d4ff50a29e7c6a6376ee3830fcf574c4a5a8de","observation_id":"19c0f45a-e4eb-4366-9907-f87f25abf150","resolution":{"observed_at":"2026-08-15T15:07:18.218676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.203689Z","title":"Quantum support vector machine for big data classification.Phys","venue":null,"work_id":"02288fff-75d5-47ee-bd3a-8e4f63d4158b","year":2014},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.898417Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:01f324860cb3fd3a1c4bd9fb1c447ca657230b7cdffefbbb112cf41534989ea4","observation_id":"3b1659b3-e573-4acb-81b3-1f8dc6177a24","resolution":{"observed_at":"2026-08-15T15:07:18.207261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.192721Z","title":"Saggio, B","venue":null,"work_id":"75cf0e41-30d3-4634-bb71-70cbbcc2eacc","year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.901849Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:400dae2924b594c567318af7d5a1a9f0840f266055d8f02a2722ec85f13fc027","observation_id":"f96e0cb4-f3a1-4117-b8c4-89e42c2e3bf2","resolution":{"observed_at":"2026-08-15T15:07:18.196370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.181529Z","title":"Markov models in health care.Einstein (S˜ ao Paulo), 8:376–379, 2010","venue":null,"work_id":"78c734d6-b79e-4368-b377-c0fac9462243","year":2010},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.905355Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:7507077497d06ec32797ffe7d67dfb0a759cbb0120af64803c55d981248d7f57","observation_id":"74f98c6a-cc08-4628-9bcd-87ef7c9f532d","resolution":{"observed_at":"2026-08-15T15:07:18.185291Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.170665Z","title":"An introduction to quantum machine learning.Contemporary Physics, 56(2):172–185, 2015","venue":null,"work_id":"48fedaa7-fb36-4068-bb04-7b9819b7dad0","year":2015},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.908867Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:381820fc80a8f0a37750603191baab596aebfee7a9b856e41849548b95934400","observation_id":"49d2b317-1941-43a4-8601-26098e18a2e0","resolution":{"observed_at":"2026-08-15T15:07:18.174534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.159915Z","title":null,"venue":null,"work_id":"6697fd74-04fc-4d9e-abc4-8e7ed29a8672","year":null},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.913320Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:da1ec35797eba23248044cb8b5a623d69d7e9dd3200f7e189cf317509fd1385c","observation_id":"4898ae91-7999-4517-bba4-0b2c3d3d8a5c","resolution":{"observed_at":"2026-08-15T15:07:18.163719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.148561Z","title":"Near-optimal time and sample complexities for solving Markov decision processes with a generative model","venue":null,"work_id":"0d749018-50a0-46b2-9668-eb425a729fa8","year":2018},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.917066Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:80e9dea83ad3d1e97eb1e083bf554a1d8bd61b7d8c74c99eca3bd74970fb3b27","observation_id":"a44f9f50-51e2-48ed-a7a7-0c6ec0fe6fdd","resolution":{"observed_at":"2026-08-15T15:07:18.152788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.137703Z","title":"Variance reduced value iteration and faster algorithms for solving Markov decision processes","venue":null,"work_id":"c124abde-b47a-4489-9790-e37af298047a","year":2018},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.920660Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:f544eaf52f67a920482342c00f31d7c6815599d1cc300e33deb2830efa05ba6d","observation_id":"586d3623-ae27-45b1-a367-31593668c139","resolution":{"observed_at":"2026-08-15T15:07:18.141776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.125633Z","title":"Markov decision processes for screening and treat- ment of chronic diseases.Markov Decision Processes in Practice, pages 189–222, 2017","venue":null,"work_id":"19661586-4dfa-471e-949d-0bbfbc061931","year":2017},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.924507Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:15ca262ca721c15d5c8ac3294a0f08fe844aa409980394210720f373823cf8c1","observation_id":"eed16f05-0071-483f-87ce-90623dfd941b","resolution":{"observed_at":"2026-08-15T15:07:18.130353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.114413Z","title":"MIT press Cambridge, 1998","venue":null,"work_id":"16633534-162c-4981-ad47-589984f7a36d","year":1998},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.927759Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:f6159839e88d28318e20b7114185317b674afc509b77444ba548b227f264ea0a","observation_id":"feee4c3a-406d-4be4-81d8-f20b63bdf1ad","resolution":{"observed_at":"2026-08-15T15:07:18.118530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.102326Z","title":"Synthesis Lectures on Artificial Intelligence and Machine Learning","venue":null,"work_id":"b16b2ef6-1a74-49d1-b55d-87123534aa7a","year":2010},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.931158Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:b65a655cf5e146324d1cb8276bb8b114c982a8d244dc9d15ed199a78e667dcdc","observation_id":"d2119d0f-b354-44de-a553-503de4b722a1","resolution":{"observed_at":"2026-08-15T15:07:18.106154Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.091159Z","title":"Quantum algorithms for reinforcement learning with a generative model","venue":null,"work_id":"381eeebf-e845-41ea-a36c-e2bf7cf23563","year":2021},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.934591Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:018be7833e70e064d7e83fa2cc380ce5d355557f60071118fa49fae3602cc75b","observation_id":"fd891404-1e21-4677-8f80-08305e5d52a3","resolution":{"observed_at":"2026-08-15T15:07:18.095025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.01869","last_updated":"2017-09-13T17:19:09Z","snapshot_observed_at":"2026-08-14T21:07:58.800285Z","submitted_at":"2017-04-06T14:45:40Z","title":"Randomized Linear Programming Solves the Discounted Markov Decision Problem In Nearly-Linear (Sometimes Sublinear) Running Time","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.01869","snapshot_observed_at":"2026-08-15T15:07:17.938278Z","title":"Randomized linear programming solves the discounted Markov de- cision problem in nearly-linear (sometimes sublinear) running time.arXiv preprint arXiv:1704.01869, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.938278Z"},"links":{"cited_paper":"/paper/1704.01869","citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:a6e7dd095ea8c5c9f21bfa810a003e878ab2cbc620236e120cda133218993206","observation_id":"bc8f3511-b7a3-4145-baf7-4c4b66f058fb","resolution":{"observed_at":"2026-08-15T15:07:17.938278Z","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":"2026-08-15T15:07:18.080110Z","title":null,"venue":null,"work_id":"b5dfb221-779b-4438-ba4d-526b807347de","year":2015},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.942296Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:53029c483fdff53c02c7394c05a143dbf0cf36c1ddefb67fdd2014a9db40b5a5","observation_id":"2246e1c5-14e1-4e24-87d3-3f0303500692","resolution":{"observed_at":"2026-08-15T15:07:18.083819Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.068512Z","title":null,"venue":null,"work_id":"ccf27b12-f916-4c7f-a2ab-1442a940f53e","year":2023},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.945513Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:724412dcf1baa39399719eaff254c2a97dac5a70cb9260e0399eb53aa06ba1f6","observation_id":"493a2f05-cc7b-4ab0-9c12-c8528a3a8c17","resolution":{"observed_at":"2026-08-15T15:07:18.072201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-15T15:07:18.055831Z","title":"Provably efficient exploration in quantum reinforcement learning with logarithmic worst-case regret","venue":null,"work_id":"b70f9e72-2661-43c7-b73c-72983b2a32a6","year":null},"citing_paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T15:07:17.949024Z"},"links":{"citing_paper":"/paper/2608.02826"},"observation_digest":"sha256:cf7b5f99baff84bbdf4283ae3881cf82c4925ca523a5500648951a4a41e4d3e1","observation_id":"9ffe56c9-f9d5-427b-8553-d06e9a8fbea8","resolution":{"observed_at":"2026-08-15T15:07:18.060115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.02826","last_updated":"2026-08-03T19:38:31Z","latest_version":1,"primary_category":"quant-ph","snapshot_observed_at":"2026-08-16T17:43:04.980750Z","submitted_at":"2026-08-03T19:38:31Z","title":"Improved Quantum Algorithms for Reinforcement Learning Under a Generative Model"},"reference_resolution":{"displayed":59,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":46},"total_outbound_references":59},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2608.02826."}