{"as_of":"2026-08-10T05:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7df74f24ac9571fa501d48866a7de90a961992b9dc9d58e34426777cdf633ff0","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T14:04:14.589829Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2605.28309/citation-record","integrity":"/paper/2605.28309/integrity","json":"/paper/2605.28309/citation-record.json","paper":"/paper/2605.28309"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.03488","last_updated":"2020-12-16T22:36:27Z","snapshot_observed_at":"2026-07-06T09:36:09.122377Z","submitted_at":"2020-07-07T14:20:26Z","title":"Benchmarking in Optimization: Best Practice and Open Issues","version":2},"cited_work":{"arxiv_id":"2007.03488","doi":"10.48550/arxiv.2007.03488","metadata_source":"arxiv_reference","pith_arxiv_id":"2007.03488","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Bartz-Beielstein et al.,Benchmarking in Optimization: Best Practice and Open Issues","venue":"arXiv (Cornell University)","work_id":"48ead57f-0a4d-48cd-b09e-f1c77b64c97d","year":2007},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"cited_paper":"/paper/2007.03488","citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:b43c65fc49d890b30f41ed887e510385bc04c0daf586abb7d3d6fdf1545866e2","observation_id":"f850d22d-e0bd-493b-8caa-5abe68a7a476","resolution":{"observed_at":"2026-06-29T14:13:30.378869Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"PhD thesis, INRIA, 2009","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:ed3d76892d7e9c1cb476979bed377caf2b88e53407276cafe8fbd1c8872fcf0b","observation_id":"ec3adaa3-8829-4324-ac90-f20cbddd6356","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:0c5dbe142b33232bb2ec22c516c059825aafb6fccad9fcbdddf40eea751bbd0a","observation_id":"f6837df3-d574-4655-8839-39df2b1e0916","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:d24f1de68e1cb626c3f2076194856444f14df6f19323ec21ce78d7d648f0d827","observation_id":"d7f3d344-53a2-4c8f-ba19-ae16876f05d9","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"On the influence of the number of algorithms, problems, and independent runs in the comparison of evolutionary algorithms.Applied Soft Computing, 54:23–45, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:9323d9c19e8d7dd9af15b26c111506d81f002ec3f90372a5e793dcb0e1d928e1","observation_id":"aee6b6ea-1bc5-458d-99b7-d968a62c9868","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Adaptive estimation of the number of algorithm runs in stochastic optimization","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:9e1b739016eea227bdb9a6ec41c79859227e99dd2a62c848d80c1d5178bca51f","observation_id":"5092eefa-bd63-4327-ac75-e9e31b222935","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Learning to assess the reliability of number-of-runs estimation in stochastic optimization, jan 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:bf002520e3707d1e58fc4a5baea14e7d881339bdf56ed8dda6b203d4247129ea","observation_id":"be581d29-1122-4d7f-8215-89fccd84a830","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Experimental research in evolutionary computation","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:415cc5832921155e51315445eaa5c43482835c4b56f397ef5bc8ad5d628683aa","observation_id":"ba4ed739-0c91-4a62-96de-a1500345f697","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"A chess rating system for evolutionary algorithms: a new method for the comparison and ranking of evolutionary algorithms.Information Sciences, 277:656–679, 2014","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:3a4cba9f86ab851b5e850c9c90985da46e9ea8eff84ff8ab3e98d88c196d7161","observation_id":"5d9adb4c-b6a6-45b2-ae3e-8dee76bf0d80","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Identifying practical significance through statistical comparison of meta- heuristic stochastic optimization algorithms.Applied Soft Computing, 85:105862, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:d66fc96919dba36e3425ca0e2f4620dd3ca4f1e97e4d899869464bdba962d9a6","observation_id":"9078cb35-5fa0-44de-99cc-d8917206767a","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:53b9c15a534b78d2bd29702dcc75fe20434fb9116b20719d90ac37ef1005dad4","observation_id":"9210a2f4-2a7e-4fb6-8ae8-a7771a8d5ee5","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Sample size estimation for power and accuracy in the experimental comparison of algorithms.Journal of Heuristics, 25:305–338, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:21c83532ee40253f0101bb12de8f9b30044a54fbda254002b50c0455a93fcca4","observation_id":"77202e6a-1749-496c-9f16-d4d2f86791a1","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Hansen, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:876750aef04b4bcaf703005af36449f560b88dee8d23e681838da5197907ed67","observation_id":"43c1164d-8209-4f85-be00-710b97457d59","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Rapin and O","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:a4335e29a243d139ef0b337c4cf344ad4d8cce0d353619c7a6dfdffc516ffc71","observation_id":"a0c72bba-a429-4e8c-b9f9-6fa7fe930aa1","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"PhD thesis, East Tennessee State University, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:1a6960fb1c61a490bfd2fc41b106a078eaafacc0b9ea779142ab3b72380c08be","observation_id":"5b5c3f5e-888b-4579-a49e-8cd46154a589","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"A review of bootstrap confidence intervals.Journal of the Royal Statistical Society: Series B (Methodological), 50(3):338–354, 1988","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:b1a6a8081ff59c40a0448ddf8e00c7b6fda278b83165e595bcdb4c2a9f1f3636","observation_id":"cf72cce2-0e94-4fe5-9369-60baf0b5032c","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Labeling methods for identifying outliers.International Journal of Statistics and Systems, 10(2):231–238, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:b6e149363ccfcf2032c07942a26d7b3409dbc37a146bbc55ff07c041112ccb20","observation_id":"0f7e24f3-b08b-4786-807b-644978122d23","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-29T14:04:14.589829Z","title":"Optuna: A next-generation hyperparameter optimization framework","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-29T14:04:14.589829Z"},"links":{"citing_paper":"/paper/2605.28309"},"observation_digest":"sha256:4fb5d694dd25d15982e04ee510df382e7199b7f2dd4f8693730812724cab2347","observation_id":"ec95f609-2b08-4792-9a7b-19833181f655","resolution":{"observed_at":"2026-06-29T14:04:14.589829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.28309","last_updated":"2026-05-27T11:08:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-01T14:48:31.366461Z","submitted_at":"2026-05-27T11:08:19Z","title":"Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2605.28309."}