{"as_of":"2026-08-14T06:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1c3347ae8b50c4729b5f4635e4a888698aa2eb0cc5b59a225764c78606e5e42d","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:09:34.056156Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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":"2026-08-08T13:08:22.855965Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-08T13:08:23.381282Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"cited_work":{"arxiv_id":"2501.02926","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.02926","snapshot_observed_at":"2026-08-08T13:08:23.381282Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","venue":"cs.LG","work_id":"6eb68e72-c2e2-4e76-bb4a-584879d1d1d6","year":2025},"citing_paper":{"arxiv_id":"2502.07350","last_updated":"2025-09-06T07:54:06Z","snapshot_observed_at":"2026-08-14T02:41:58.313570Z","submitted_at":"2025-02-11T08:22:12Z","title":"KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T13:08:22.855965Z"},"links":{"cited_paper":"/paper/2501.02926","citing_paper":"/paper/2502.07350"},"observation_digest":"sha256:499371b1b16e4b4fd4ce354c40639884c8c5cabb49f222e49d850a0206f27ebb","observation_id":"b0023c4e-5551-4744-8592-13aa448d0fdd","resolution":{"observed_at":"2026-08-08T13:08:23.388073Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.02926/citation-record","integrity":"/paper/2501.02926/integrity","json":"/paper/2501.02926/citation-record.json","paper":"/paper/2501.02926"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.279546Z","title":"Neural network learning: Theoretical foundations , volume 9","venue":null,"work_id":"c03ca0dc-2c23-4587-9cf5-9c1c32db6444","year":1999},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.687260Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:c6d3845a83e45bc921059ba108d625f63dbcc3b31a2913083faee5f9b877dc7d","observation_id":"da9e35a9-936e-4d64-b217-6c7a51ef6d6c","resolution":{"observed_at":"2026-08-10T22:09:35.287867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.256358Z","title":"Population-based black-box optimization for biological sequence design","venue":null,"work_id":"f9e49b4b-82e0-45ee-a335-f511e21bacba","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.694912Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:567e8264700b1c4b9ba3154880ebe27fc9915a7d8c195f8ff169f936bde96084","observation_id":"8676577f-ddc1-4472-9fb6-d9485d14dcb9","resolution":{"observed_at":"2026-08-10T22:09:35.266145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.234304Z","title":"Finite-time analysis of the multiarmed bandit problem","venue":null,"work_id":"edab9c80-27da-4f6e-8fba-2c517833a35b","year":2002},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.700665Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:96201956c899ba6cc7f7cb5d6c372793a8eca6ae841b45483bb7ceb7211609ab","observation_id":"2440a290-4e63-4a8b-b2a0-9dc85b1dcc15","resolution":{"observed_at":"2026-08-10T22:09:35.241604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.218071Z","title":"Meta-learning for simple regret minimization","venue":null,"work_id":"7d4566c5-efa6-4c34-a784-5aae776a1b01","year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.705886Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:94e9414aab2a8b5d4b924e541cea49d026cb707edf0d2107053aec8b97f5621a","observation_id":"500f5c09-face-4357-9fa9-ebcbf424cb94","resolution":{"observed_at":"2026-08-10T22:09:35.223560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.199108Z","title":"Sequential transfer in multi-armed bandit with finite set of models","venue":null,"work_id":"a5ab7baf-5ac5-4fe3-9415-eef59bfdfc2d","year":2013},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.712825Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:c18ef97a2a71ef6d2800aefb97b30c96670f07c067c944ebd53080327133df51","observation_id":"218d77f1-5335-48c8-94a6-16f998fc2ce9","resolution":{"observed_at":"2026-08-10T22:09:35.204881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.180432Z","title":"Corralling a band of bandit algorithms","venue":null,"work_id":"f78be92c-c4e4-4d67-9dbb-985e81433958","year":2017},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.717871Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ccd778c8d72a57227b99fb4ab6578e7b1d18fb599f9eddc0a015442caab02839","observation_id":"9dd67296-42e3-4c78-8075-9672fcf59fa5","resolution":{"observed_at":"2026-08-10T22:09:35.186911Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.163161Z","title":"Corralling stochastic bandit algorithms","venue":null,"work_id":"2c411767-fcc5-44fb-a5b3-a50026d4282d","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.723356Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ce1740c32fb78aac851eef13776a259df5b77628ac37a5a66be25249c084240a","observation_id":"3c4f67fb-0e15-48ad-98e1-5c30e5d6db59","resolution":{"observed_at":"2026-08-10T22:09:35.168339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.142861Z","title":"Exploration--exploitation tradeoff using variance estimates in multi-armed bandits","venue":null,"work_id":"34fdca98-7ee5-40a4-83a0-d85d328da9fb","year":1902},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.727303Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:03b020945a58097357a3c28e0ee3f9efc5a48f5c74f793dcfb9f9aefd8aa7d8a","observation_id":"ff505dcf-ed88-4fe4-a042-5e73c464555c","resolution":{"observed_at":"2026-08-10T22:09:35.149298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.119336Z","title":"Improved algorithms for linear stochastic bandits","venue":null,"work_id":"78941c61-182c-4ae5-a8f2-2cfff419215b","year":2011},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.732248Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:1279bdd101c38407b7977a1dc3727fd4180a5ae8e6b60d7a317253484e22e92c","observation_id":"a28afb84-a341-4983-b11b-10cb65d5a1ee","resolution":{"observed_at":"2026-08-10T22:09:35.128730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.099416Z","title":"Book chapter Data-Driven Algorithm Design","venue":null,"work_id":"14cd0798-ef72-4ef5-bb57-9a2249aaac14","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.737290Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:5afc4edc4d10c0d15649090cc3e6d15250ea4d5be090bee29621390264aca51f","observation_id":"c791c396-c4f8-4255-ab26-164017566008","resolution":{"observed_at":"2026-08-10T22:09:35.104784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.077134Z","title":"Algorithms for hyper-parameter optimization","venue":null,"work_id":"c04cd8d9-55c7-46d1-ae32-4eaf4f45330b","year":2011},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.742192Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:9ed9962cc27c05943ccc954723c04076f6dfd6b5564559de40fe0c51bab4c9a5","observation_id":"05e8131e-d6b0-4783-9dcb-f20859103aae","resolution":{"observed_at":"2026-08-10T22:09:35.083880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.057777Z","title":"An analysis of robustness of non- L ipschitz networks","venue":null,"work_id":"84accea8-7ad6-4e4d-8693-42fd778bbb98","year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.746793Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:10b9be54d42724ce20af0d4ba358e618587207d8ab5798e1a78325bf0f3b0d0b","observation_id":"9554bda6-1f35-4ebf-bc5e-d52f7d852f9b","resolution":{"observed_at":"2026-08-10T22:09:35.063746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.036042Z","title":"How much data is sufficient to learn high-performing algorithms? G eneralization guarantees for data-driven algorithm design","venue":null,"work_id":"a536fbfb-c2e1-48c2-89d1-922316b5aee9","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.752382Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:de590db971fcfae2ee5958f5eb8fb2337b1e272bcdfcf6da77dc489f01e30528","observation_id":"4d46702f-a71b-4baf-86ef-f7bd17a87d24","resolution":{"observed_at":"2026-08-10T22:09:35.043054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:35.018725Z","title":"Learning piecewise L ipschitz functions in changing environments","venue":null,"work_id":"e4446eed-133a-4a50-899e-6ad3f18febef","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.765262Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:e0719a114ee5239a71b895570855bc8db21a0e9a4d5e05b4150aebb3529a2af6","observation_id":"1a2937cb-97e2-40a6-a865-d3d4c8f2e996","resolution":{"observed_at":"2026-08-10T22:09:35.023341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.999801Z","title":"Learning complexity of simulated annealing","venue":null,"work_id":"ab9a0fe3-ad06-48f7-9328-8ae45bbb4271","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.773867Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:e2c3b5a2fcbffbf1ed1dc31c3d12a810b760f4f432ab330f26547e93a71338c7","observation_id":"86441b76-90f7-49fc-b4fe-ddbff4f18aae","resolution":{"observed_at":"2026-08-10T22:09:35.006751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.973814Z","title":"Dispersion for data-driven algorithm design, online learning, and private optimization","venue":null,"work_id":"2ba2227b-e67f-4177-80bf-7de737ae8a4d","year":2018},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.778226Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:bd3bdf2219b48cd074d95455925d3b6531afc87bc98468107610f3a333c2d0ed","observation_id":"5c3dc193-b179-45d3-96bf-3604dd073884","resolution":{"observed_at":"2026-08-10T22:09:34.981722Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.953038Z","title":"Data-driven clustering via parameterized L loyd's families","venue":null,"work_id":"8730a127-ec95-4071-b795-3322cda0dd6d","year":2018},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.783576Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:7082d624cb1da38a641ea07b47fce885e2065fe34c73adfa6779ed5ec3d37bde","observation_id":"6ae4dd4e-0ac6-4a8e-891f-c035c02cf88f","resolution":{"observed_at":"2026-08-10T22:09:34.960172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.937843Z","title":"Generalization bounds for data-driven numerical linear algebra","venue":null,"work_id":"6c25f887-0d24-4489-af29-5612e6fcd496","year":2013},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.792035Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:2e5bcbf8afa694c3f34220f32cd78501c2d1f0fef106d81bd0d71cab08a48f93","observation_id":"7ae47d77-dceb-4403-bcac-4afae335b4c0","resolution":{"observed_at":"2026-08-10T22:09:34.943002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.921979Z","title":"Provably tuning the elasticnet across instances","venue":null,"work_id":"c324a87c-6e58-4f7c-8493-484a0f47180e","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.798471Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:dbc270d8e32c2f7b158ba5db7e9ef8f2b0d228acb07ad8c8090af499a6760631","observation_id":"1c87c9e0-6cfe-442a-a01b-7c3b3f710e3d","resolution":{"observed_at":"2026-08-10T22:09:34.927748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.905636Z","title":"Rademacher and G aussian complexities: R isk bounds and structural results","venue":null,"work_id":"4961d9c5-69ac-4383-90a3-836c773d443a","year":2002},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.803092Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ec449f9c8b311a92a39a1f5e4ec18b0e0e43232855ae64683c8309f8ca56c851","observation_id":"47eed683-a4e5-4520-b0c9-6404a9e51408","resolution":{"observed_at":"2026-08-10T22:09:34.911494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:33.809934Z","title":"Learning-theoretic foundations of algorithm configuration for combinatorial partitioning problems","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.809934Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:c769f385a0933f1c710115ae65f5805d3cf8434ddbbc7465826ca2fd24adcfb8","observation_id":"62ffac8c-0d69-4c0a-8aec-7a24d63f723d","resolution":{"observed_at":"2026-08-10T22:09:33.809934Z","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":"2026-08-10T22:09:34.875100Z","title":"Data driven semi-supervised learning","venue":null,"work_id":"615bf8c3-9f1b-4d59-84e7-e40dbfe6ffd5","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.817853Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:23382d03377ea725ce8b23178789310de400b6732f55cde0206e4fbe16a5b2d6","observation_id":"a7f38732-ad18-4325-a664-08670020126a","resolution":{"observed_at":"2026-08-10T22:09:34.879694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.862179Z","title":"Learning accurate and interpretable decision trees","venue":null,"work_id":"3e8a2950-58f4-4d9a-830a-f93442765611","year":2024},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.824511Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:b59cf71b3fa40e22b8c9bd9c7ca80a5a651428a63a2cf0fa35e76626ffec2bae","observation_id":"02e84234-9fad-4bd6-b28c-c8c909d9207e","resolution":{"observed_at":"2026-08-10T22:09:34.866414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.847806Z","title":"Stochastic and adversarial online learning without hyperparameters","venue":null,"work_id":"4aad670d-5a85-4e77-83bd-5f8c80ef8692","year":2017},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.829809Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:1432607ed0713878739b5ae4f6728b3fe53c8be584d98d0005033d0cf4c1b2b1","observation_id":"e331b653-17d9-4b60-b831-ef74a488e078","resolution":{"observed_at":"2026-08-10T22:09:34.853680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.13115","last_updated":"2020-12-24T05:36:29Z","snapshot_observed_at":"2026-08-13T20:40:06.481881Z","submitted_at":"2020-12-24T05:36:29Z","title":"Upper Confidence Bounds for Combining Stochastic Bandits","version":1},"cited_work":{"arxiv_id":"2012.13115","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.13115","snapshot_observed_at":"2026-08-10T22:09:34.172650Z","title":"Upper Confidence Bounds for Combining Stochastic Bandits","venue":"cs.LG","work_id":"ddc353e4-f7bf-4261-9fba-5eda4fb9ca75","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.835466Z"},"links":{"cited_paper":"/paper/2012.13115","citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:b6c64b3159ee44343a1d8a58a4ec4a03df8164ead0e755b4335489c9d1dd93eb","observation_id":"10d1235a-1882-45d7-a840-dd33b3ad9923","resolution":{"observed_at":"2026-08-10T22:09:34.182035Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.834891Z","title":"Kullback- L eibler upper confidence bounds for optimal sequential allocation","venue":null,"work_id":"3603565f-55fe-43dc-8887-2cf65191a544","year":2013},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.841901Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:e5e65bc133c27acaca69b6008e50e4802d75b183849cb8238498bc65b2414c31","observation_id":"a16cd638-7600-4ffe-8f21-66a5966c41a1","resolution":{"observed_at":"2026-08-10T22:09:34.839152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.821049Z","title":"Syndicated bandits: A framework for auto tuning hyper-parameters in contextual bandit algorithms","venue":null,"work_id":"fed4924c-4a9f-4905-93bd-f5caebe641bf","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.846957Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:5b863593ac4595659ec6ed923b3adb5e8dcf7e2fb99f0ec417388eecad9147ef","observation_id":"36ffff4f-b853-4b05-8b69-231949b8fdd2","resolution":{"observed_at":"2026-08-10T22:09:34.825609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:33.852397Z","title":"Bootstrap methods: another look at the jackknife","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.852397Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:2fd8a5807435032d94a414b29642b0324840f581a82eef7f5e06bc170512726f","observation_id":"5da04ee0-3b71-4e6d-94c2-a5a4a51447c4","resolution":{"observed_at":"2026-08-10T22:09:33.852397Z","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":"2026-08-10T22:09:34.792869Z","title":"Adapting to misspecification in contextual bandits","venue":null,"work_id":"864d73b0-24dd-4099-8576-525e3935af9e","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.859351Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:2a447a76b3708034bdeae464852531e96a9f8c162349c217409f018897bfbfb2","observation_id":"63f3d83b-75b8-4399-8c9f-260878ee83fd","resolution":{"observed_at":"2026-08-10T22:09:34.798640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.775402Z","title":"Model selection for contextual bandits","venue":null,"work_id":"eda45b14-79ad-494e-961c-0b57edebae9c","year":2019},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.866449Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:b97a9d316df6ef73dc0442bf96297c84f0c8532396c2331b680e799cae4cc272","observation_id":"ac5d5b4d-77ff-4aae-bb2e-9848647d1c9c","resolution":{"observed_at":"2026-08-10T22:09:34.781231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.755297Z","title":"Online meta-learning","venue":null,"work_id":"c7643974-a33c-436a-a995-4eaa5bbd794f","year":1920},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.871225Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:8da696a736cee3d46b9c53244c3c69f70d39ede3991cafdb6188f0038ecd94e3","observation_id":"5d4729c7-ab6d-40c7-a978-92a04f8e0f8e","resolution":{"observed_at":"2026-08-10T22:09:34.763016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.737089Z","title":"The KL-UCB algorithm for bounded stochastic bandits and beyond","venue":null,"work_id":"e231dad8-dfeb-4fff-b50d-aa4bd5968d69","year":2011},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.880646Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:98136726c0afc7ab3fa8b187ea42fa2cbb71e7014f1206287b577bde3f9ed389","observation_id":"c283595d-09af-40a4-8e0b-d7f42066227e","resolution":{"observed_at":"2026-08-10T22:09:34.743912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.715267Z","title":"A PAC approach to application-specific algorithm selection","venue":null,"work_id":"1a15010c-d966-428d-abff-8d280c557539","year":2017},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.885984Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:984cb299ccaf7cc9f3aac262295bdf4993f3bc85cf3cb1c5681451ba615c0e6d","observation_id":"614bb1ca-454e-4ac9-ac9c-9aa44afe688b","resolution":{"observed_at":"2026-08-10T22:09:34.721260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.699434Z","title":"Distributionally Robust Bayesian Optimization with -divergences","venue":null,"work_id":"daa4b7f4-5e6e-4cab-acb1-f28508696bb1","year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.891220Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:c0193b1bf3ba836f069248c055204703feaf967b86ba3f5f5d393d616e1ff316","observation_id":"5dc01558-9539-4ee1-b905-1d44072eda78","resolution":{"observed_at":"2026-08-10T22:09:34.703702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.684810Z","title":"Parameter-free multi-armed bandit algorithms with hybrid data-dependent regret bounds","venue":null,"work_id":"520c89ff-06f6-4de6-b4b4-e546603f75b4","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.895083Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:f205bb4899f28c39449900ac05606e4592292988111d12e16b29a7e6dbbb22a0","observation_id":"68e778fd-0714-4e53-88d4-eb5c7b95fee9","resolution":{"observed_at":"2026-08-10T22:09:34.689871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.06483","last_updated":"2023-10-23T20:17:17Z","snapshot_observed_at":"2026-07-06T11:18:26.156978Z","submitted_at":"2021-06-11T16:08:03Z","title":"Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective","version":3},"cited_work":{"arxiv_id":"2106.06483","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.06483","snapshot_observed_at":"2026-08-10T22:09:34.151344Z","title":"Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective","venue":"cs.LG","work_id":"8cdb31bb-6730-4b0e-bd5f-3db2d86c4eeb","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.900069Z"},"links":{"cited_paper":"/paper/2106.06483","citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:d0ef86f11a4e3acf5dba6eca43b21727f672138975c825d76c45770f393fc967","observation_id":"8c9874a5-b7c8-4acc-a491-57bca0394070","resolution":{"observed_at":"2026-08-10T22:09:34.156434Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.668148Z","title":"Adaptive gradient-based meta-learning methods","venue":null,"work_id":"afd84bdc-4852-4acf-94a3-18a444e1c6d1","year":2019},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.905021Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ec1cc9126ecade7ffc4e401a65e97f2c82a4aa5f2095d189cba658d8aaa2054c","observation_id":"1fb66979-f95f-49d9-aa39-e8a9f737da0e","resolution":{"observed_at":"2026-08-10T22:09:34.674579Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.652672Z","title":"A bound on the error of cross validation using the approximation and estimation rates, with consequences for the training-test split","venue":null,"work_id":"d8cd06a8-0edc-4165-8f66-05a9a60f08b2","year":1995},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.909956Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:c2385eb5da3ce76bb3e17db5198f543efd2bba5e0c5d860a4d8938e13d6c213b","observation_id":"737a3961-d673-47b1-bb0f-b3c8e246f015","resolution":{"observed_at":"2026-08-10T22:09:34.658127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.634555Z","title":"Online continuous hyperparameter optimization for generalized linear contextual bandits","venue":null,"work_id":"5b378022-9e65-43df-8a20-b54049b235f9","year":2024},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.914791Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ba8e538b77f73fb7fb065425a76765fdad6867b161341de152c97c3a44d9051d","observation_id":"cc541ff5-6629-4a32-ae7e-ddaea00afa29","resolution":{"observed_at":"2026-08-10T22:09:34.639655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.05094","last_updated":"2021-01-06T03:44:39Z","snapshot_observed_at":"2026-08-05T12:59:45.096685Z","submitted_at":"2020-06-09T07:45:41Z","title":"Meta-Learning Bandit Policies by Gradient Ascent","version":2},"cited_work":{"arxiv_id":"2006.05094","doi":null,"metadata_source":"pith","pith_arxiv_id":"2006.05094","snapshot_observed_at":"2026-08-10T22:09:34.125142Z","title":"Meta-Learning Bandit Policies by Gradient Ascent","venue":"cs.LG","work_id":"9789cbc4-632b-4277-a7d6-024c7e8bc99a","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.920038Z"},"links":{"cited_paper":"/paper/2006.05094","citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:548cf4959d5402f71c0ab5dc05aed04d3103941454f88bee78bb4e1ded7e38ce","observation_id":"ea938400-02e6-4950-b2cb-d5191ffe23a3","resolution":{"observed_at":"2026-08-10T22:09:34.133514Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.616306Z","title":"Meta-learning adversarial bandit algorithms","venue":null,"work_id":"f42ff923-3283-48ce-9c29-cb1b29579b61","year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.925574Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:5f6c0f6c7a13a7e3b9ee29d8399d0a1d5a832842caa19676c66d369c578a40b6","observation_id":"58b44ae3-9afd-4234-8ac9-4fc5321e2fd8","resolution":{"observed_at":"2026-08-10T22:09:34.623574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.599430Z","title":"Rademacher penalties and structural risk minimization","venue":null,"work_id":"6941cb29-e4e0-41a0-85bd-640feadfef46","year":1902},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.930022Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:95de60c03fe783d72435ca3e8166d17b2cf4c8f10a737b8326c56dd1a46b8886","observation_id":"aaf170bc-f7dc-415d-b30c-9f5ce3d1acf1","resolution":{"observed_at":"2026-08-10T22:09:34.603946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.573923Z","title":"A contextual-bandit approach to personalized news article recommendation","venue":null,"work_id":"f7d699f5-efde-456f-bce1-6135a1208cb1","year":2010},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.933930Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:57e0a4d3719f29d2bf786108526de8482db0879f02a0c54a016b8bd63a4888b8","observation_id":"a13f1a7a-51dc-4438-a444-d1ac265e112b","resolution":{"observed_at":"2026-08-10T22:09:34.579818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.545292Z","title":"Automatic gait optimization with gaussian process regression","venue":null,"work_id":"fcb0ff1e-22e9-465b-af2f-798d8bff462a","year":2007},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.939402Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:f327691bb868559945e6625974a2dc838635bfde56864ac2261596900c9611dd","observation_id":"9decb915-d7c5-4611-b94b-b5bc093ba780","resolution":{"observed_at":"2026-08-10T22:09:34.560118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.529307Z","title":"Corralling a larger band of bandits: A case study on switching regret for linear bandits","venue":null,"work_id":"e17ebbc7-3ce9-441e-b432-2f7f5be87860","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.943841Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:dffd9526b658d98ebfe3692db5f522e4a48bff4dd45a36c8741b8040dbc35097","observation_id":"dd458a15-143b-4346-bb48-d090da69d951","resolution":{"observed_at":"2026-08-10T22:09:34.535272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.505179Z","title":"Some applications of concentration inequalities to statistics","venue":null,"work_id":"ccc2a7f5-6e11-4b8c-9f44-521e16c7111f","year":2000},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.948709Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:460e72879e7a570480c9a513df1e3a1a20ec7d2b5a8d92ee9afb586dff8f035d","observation_id":"a6aa0303-eb45-45da-a3eb-4d2b09967341","resolution":{"observed_at":"2026-08-10T22:09:34.511235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.481067Z","title":"Field study in deploying restless multi-armed bandits: Assisting non-profits in improving maternal and child health","venue":null,"work_id":"b818f635-1db5-4320-b196-b1b18ec37ecb","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.954738Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:1d72b4cdb2ee363d53133baf36f501c1e21df28562c9a7ce4570b381446b3d39","observation_id":"5149ef07-dca8-4ca4-ad95-4ab6d76223c6","resolution":{"observed_at":"2026-08-10T22:09:34.488297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.461986Z","title":"Efficient- UCBV : An almost optimal algorithm using variance estimates","venue":null,"work_id":"14e156f6-e7c7-4c9a-ab89-c993665a1475","year":2018},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.960873Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:b792b0f5309951adb15fb2312571edc53b75748584c3bdc2198bebd0c162a099","observation_id":"f4df2b1f-6f05-4df8-b59b-e92c52e835d5","resolution":{"observed_at":"2026-08-10T22:09:34.468907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.444318Z","title":"The pareto frontier of model selection for general contextual bandits","venue":null,"work_id":"739b16c0-25c7-4aa4-80c2-f71a5df25994","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.967595Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:22fe51444d2793ccb09a785268ffa760e3cb11af20ac3654b3fe03504840abef","observation_id":"098e2d53-8036-4e39-92dd-7bba1ff38610","resolution":{"observed_at":"2026-08-10T22:09:34.450218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.426345Z","title":"Best of both worlds model selection","venue":null,"work_id":"adee17bb-2679-485e-b880-c7a93159e125","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.972791Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:5687b730dc2d4fc356c0f5739190dbd436935b3adff5cdc4dbd5a3b782632440","observation_id":"7a1447b6-d2e5-4a14-967f-e696027b8178","resolution":{"observed_at":"2026-08-10T22:09:34.433001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.403922Z","title":"Handling advertisements of unknown quality in search advertising","venue":null,"work_id":"d4c38d00-f4a1-4341-b19d-9c208652c95d","year":2006},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.978659Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:1026ac4e49a6f3fe28ee4d11983d9820a9eefb35b4e31f8f2295ac89f06f0c4c","observation_id":"8752967d-1ced-4de8-a3e7-de4343b83be5","resolution":{"observed_at":"2026-08-10T22:09:34.411685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.386188Z","title":"Model selection in contextual stochastic bandit problems","venue":null,"work_id":"68c97ae2-ce13-4f06-b96a-1beb9c722ca1","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.985436Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:79e5383083bf33bd5ad58a323370dc4b8f812db545e4c4761ef941b09f1f367a","observation_id":"3321dbad-3d85-4b68-9188-2a8f0be6b5db","resolution":{"observed_at":"2026-08-10T22:09:34.392231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.368831Z","title":"Metalearning linear bandits by prior update","venue":null,"work_id":"2d32193e-c60d-474a-8ffd-11c7d7a80f33","year":2022},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.991059Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:248a006363535f9dc49e5d7230fe706c29c0cc948455a72d9b170ee11f745953","observation_id":"0532bc91-baba-47c4-b9e2-537037cf7fe0","resolution":{"observed_at":"2026-08-10T22:09:34.375151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.350970Z","title":"Gaussian process optimization in the bandit setting: No regret and experimental design","venue":null,"work_id":"07cf3120-c78e-45a2-a687-b09e0cc67f04","year":2010},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:33.995773Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:376debb025e911854537cedc67db61cad52ce77a8af6e55bb50a74a1bd2abcd1","observation_id":"cca48bad-a793-466d-b15f-da51e2124cd7","resolution":{"observed_at":"2026-08-10T22:09:34.356037Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.334369Z","title":"Multi-task bayesian optimization","venue":null,"work_id":"5a99c303-5151-49f0-80ef-ae8cc8868cc0","year":2013},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.000826Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:e83beb169056dc8efef7340d30f1e1d05b292508af18619e69b5be34e269d8be","observation_id":"b400782b-b854-48e3-8724-ef9a43abfbae","resolution":{"observed_at":"2026-08-10T22:09:34.341718Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.318761Z","title":"Cross-validatory choice and assessment of statistical predictions","venue":null,"work_id":"63a24502-092e-49e2-aef2-a156d941a956","year":1974},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.005553Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:fc32140cee89c24bc4937d86fd85bfcb503667e4cc3f605b97eff32697404c32","observation_id":"89cded59-364a-4ae2-9054-557664ce0411","resolution":{"observed_at":"2026-08-10T22:09:34.324022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.302848Z","title":"Wasserstein distributionally robust policy evaluation and learning for contextual bandits","venue":null,"work_id":"69c8ecaa-cb3f-44fd-bc08-3564689bcc9e","year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.011096Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:465d8e4cd84097a18bac9162114b0e66b669e795332f0cfa517262cf36023354","observation_id":"ca33cd41-b161-47f8-bfac-bf1406631322","resolution":{"observed_at":"2026-08-10T22:09:34.309110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.287671Z","title":"Distributionally robust policy evaluation and learning in offline contextual bandits","venue":null,"work_id":"b913f670-bfef-4fd5-b7cf-644bcd270ee0","year":2020},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.018626Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:5746fa8c07b88a5837551e2518920de3fdf2a78bb0491c5f498f4d59acccbdfa","observation_id":"4cb14b32-5b59-4aba-8b35-b999277f1d4a","resolution":{"observed_at":"2026-08-10T22:09:34.292195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.023586Z","title":"From ads to interventions: Contextual bandits in mobile health","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.023586Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:715ee5fcb01df7d62978fdf42d243ef645cb93acd7f2ed6751cc8484a274ae8d","observation_id":"40c73767-717f-4e66-b1f1-63e59dce3771","resolution":{"observed_at":"2026-08-10T22:09:34.023586Z","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":"2026-08-10T22:09:34.264018Z","title":"Pre-trained G aussian processes for B ayesian optimization","venue":null,"work_id":"62e890eb-eaad-4168-9f6b-0f35ee31dbab","year":2024},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.030645Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:f63dfda188fc8bfad5d4a94015e3002c3cc632e9d09a968afcf2dddb4f108006","observation_id":"a6cdeb70-c4a7-4742-86d0-761afd7cc20b","resolution":{"observed_at":"2026-08-10T22:09:34.269304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.246668Z","title":"Regret bounds for meta bayesian optimization with an unknown G aussian process prior","venue":null,"work_id":"9416c108-a3f8-446f-a382-72e37f7f9b55","year":2018},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.035777Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:53065d6937af492905e45008d091f73ec280fe7ef1de18c78c209170f84d211b","observation_id":"c52fb63c-1950-4e21-9630-712643bc5f3b","resolution":{"observed_at":"2026-08-10T22:09:34.252775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07539","last_updated":"2023-08-14T17:22:21Z","snapshot_observed_at":"2026-08-13T10:55:28.698799Z","submitted_at":"2023-07-14T13:56:11Z","title":"On the Sublinear Regret of GP-UCB","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07539","snapshot_observed_at":"2026-08-10T22:09:34.040733Z","title":"Improved self-normalized concentration in H ilbert spaces: Sublinear regret for GP-UCB","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.040733Z"},"links":{"cited_paper":"/paper/2307.07539","citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:1c66aafaa9a5b0d629b866ee22bc38ddde7187279f2f791ab1abf2b8fb54d7a7","observation_id":"73e710ad-ad14-405c-95fd-a4963b55e12e","resolution":{"observed_at":"2026-08-10T22:09:34.040733Z","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":"2026-08-10T22:09:34.228647Z","title":"Consistency of cross validation for comparing regression procedures","venue":null,"work_id":"442ee634-7eaf-4b2a-ad21-ec02cd905067","year":2007},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.045926Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:ba35df73ae230bedd2f6db937947f3841d2b52cc42dc712a7a68ce633378aeaa","observation_id":"1a9ae45a-4892-4204-ae14-6d1c4732b3c1","resolution":{"observed_at":"2026-08-10T22:09:34.233932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.213193Z","title":"Efficient transfer learning method for automatic hyperparameter tuning","venue":null,"work_id":"24e7fc4c-3c0d-4548-8725-b2da4ec52761","year":2014},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.051041Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:19e8728e27d5e179d2d472120c14816959ed0f16609e52953f02748cf02edd0d","observation_id":"b30f6c3d-8358-445d-ae1f-b5310efdb1e0","resolution":{"observed_at":"2026-08-10T22:09:34.218763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:09:34.197475Z","title":"Tsallis-inf: An optimal algorithm for stochastic and adversarial bandits","venue":null,"work_id":"a0fd4129-e884-4a33-9c1b-442e856f4b8b","year":2021},"citing_paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T22:09:34.056156Z"},"links":{"citing_paper":"/paper/2501.02926"},"observation_digest":"sha256:d08c354af7e71b98109eb21a3095f61ff0528f1db17cca6c599858dbf49cfd19","observation_id":"38efe482-4a3c-48d6-bdef-33ac0c2f5fdd","resolution":{"observed_at":"2026-08-10T22:09:34.203086Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.02926","last_updated":"2025-01-06T11:05:48Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T21:57:54.800804Z","submitted_at":"2025-01-06T11:05:48Z","title":"Offline-to-online hyperparameter transfer for stochastic bandits"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":3,"verified_fuzzy":58},"total_outbound_references":65},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2501.02926."}