{"as_of":"2026-08-10T02:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e484925c890a00804c89e75ed1e7774c751b5c69f6f67e97117cde604d2defe3","coverage":[{"denominator":8,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T23:00:45.293564Z","state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T14:42:35.025479Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.07836","snapshot_observed_at":"2026-08-01T14:42:35.025479Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.21637","last_updated":"2026-07-21T03:30:58Z","snapshot_observed_at":"2026-08-09T23:41:32.770492Z","submitted_at":"2026-07-21T03:30:58Z","title":"Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T14:42:35.025479Z"},"links":{"cited_paper":"/paper/2511.07836","citing_paper":"/paper/2607.21637"},"observation_digest":"sha256:5b193f85fd467fd635568eb030e541c0a3528f68b245fb6e14f39ef662e2dc0f","observation_id":"c20bf881-6b30-4a7b-b4ee-c31e6bb3f1d8","resolution":{"observed_at":"2026-08-01T14:42:35.025479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2511.07836/citation-record","integrity":"/paper/2511.07836/integrity","json":"/paper/2511.07836/citation-record.json","paper":"/paper/2511.07836"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:00:44.530856Z","title":"Ivanovska","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:44.530856Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:61eb67a8b1341da2abcdd3f5c65bce99aa89948d1e8bc92197c60126a659aa74","observation_id":"f697429f-e579-4fcc-9dc3-ed55203c7174","resolution":{"observed_at":"2026-08-03T23:00:44.530856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.18426","last_updated":"2025-08-25T19:18:05Z","snapshot_observed_at":"2026-08-05T16:27:54.109468Z","submitted_at":"2025-08-25T19:18:05Z","title":"High-Dimensional Quasi-Monte Carlo via Combinatorial Discrepancy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.18426","snapshot_observed_at":"2026-08-03T23:00:44.608315Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:44.608315Z"},"links":{"cited_paper":"/paper/2508.18426","citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:a85c9caf38085426dbbdf72ed2a4c425b8696859574d6bab50a2732c495f93b0","observation_id":"cff47408-6992-4491-9e2f-fc33212a7804","resolution":{"observed_at":"2026-08-03T23:00:44.608315Z","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":"10.1142/s1469026818500086","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"International Journal of Computational Intelligence and Applications","work_id":"9d4593c4-b64c-43cc-83c9-0663661dabfe","year":2018},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:44.728648Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:2cb72b4a68f6cb1ac87ef7ca3621c4e4ae42d695505bf6d39049109089669906","observation_id":"d5a877ab-0213-4afc-8ed7-c55cb7dd70d6","resolution":{"observed_at":"2026-08-03T23:03:24.360172Z","resolver_source":"doi","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":"2026-08-03T23:00:44.833624Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:44.833624Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:602d6cb6d6d1aecf4c6d83f23a8712994cf58c52d1fd765a2b4f412a9314a004","observation_id":"ba3dd547-965f-4034-84e0-a71b0c6824c4","resolution":{"observed_at":"2026-08-03T23:00:44.833624Z","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":"2026-08-03T23:00:44.935230Z","title":"Naser, Mohammed K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:44.935230Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:3743277df30553b366e5d2b4095163581e3695e91b0972e417b713bd46eba4d6","observation_id":"de553a6a-0cc5-4fed-ac5d-690f0c958863","resolution":{"observed_at":"2026-08-03T23:00:44.935230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.00422","last_updated":"2025-03-20T10:08:31Z","snapshot_observed_at":"2026-08-10T01:00:57.698548Z","submitted_at":"2023-12-31T08:22:51Z","title":"Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.00422","snapshot_observed_at":"2026-08-03T23:00:45.079361Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:45.079361Z"},"links":{"cited_paper":"/paper/2401.00422","citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:2595e7052edf566a5cf9fb126850f6533b80fb70728806ab5fe76bc314a24def","observation_id":"4ed5682f-60d2-4ff6-84e5-11cdbac34da1","resolution":{"observed_at":"2026-08-03T23:00:45.079361Z","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":"2026-08-03T23:00:45.228376Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:45.228376Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:907b4fe56d7c70ee311b38579ee059c2eebeaa9b9068c0efbbe6e67279f13723","observation_id":"24da9889-0ea7-4398-8d62-ba34054ef4fc","resolution":{"observed_at":"2026-08-03T23:00:45.228376Z","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":"10.1016/j.cam.2007.01.005","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Journal of Computational and Applied Mathematics","work_id":"2a180d77-1a46-48bd-aee5-178b482b7238","year":2007},"citing_paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization","version":5},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T23:00:45.293564Z"},"links":{"citing_paper":"/paper/2511.07836"},"observation_digest":"sha256:21fa050224a81d149d84b10a2938deb803ef11e5950d4ed84ae9b5bb103c39df","observation_id":"b23d784e-ca60-4fd1-b922-7f18b51e879d","resolution":{"observed_at":"2026-08-03T23:03:24.115653Z","resolver_source":"doi","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"}}],"paper":{"arxiv_id":"2511.07836","last_updated":"2026-07-13T20:41:27Z","latest_version":5,"primary_category":"math.NA","snapshot_observed_at":"2026-08-10T00:44:35.142308Z","submitted_at":"2025-11-11T05:12:00Z","title":"Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization"},"reference_resolution":{"displayed":8,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":8},"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 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2511.07836."}