{"as_of":"2026-08-15T18:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd2104a9f2490df9c8fc75e4c4b67d8b898d299a79af8f1e6329814b62166edd","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:45:06.213990Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2505.24066/citation-record","integrity":"/paper/2505.24066/integrity","json":"/paper/2505.24066/citation-record.json","paper":"/paper/2505.24066"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:45:15.238493Z","title":null,"venue":null,"work_id":"d145a329-9284-4e9a-96e4-3e99ddf2e508","year":1990},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:42.127365Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:c4f115a5396e8a75d3dfcea15b63256d794f79de4f449e1e8144091a1f0ecfd5","observation_id":"1eae81fb-823a-400a-a2fc-14a29b94acb1","resolution":{"observed_at":"2026-08-07T12:45:15.371915Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:14.951155Z","title":"Block toeplitz matrix inversion","venue":null,"work_id":"0a6010dc-1bf5-4d1d-84b4-074b28740de5","year":1973},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.738598Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:b3f0c06048d8b57d79d67e6e6d65d23c96f41ff3a14fabe287ec3c25ba0f0676","observation_id":"32f83094-b485-4ab5-ac98-31af6743d1f0","resolution":{"observed_at":"2026-08-07T12:45:15.115097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:14.594306Z","title":"Gaussian predictive process models for large spatial data sets","venue":null,"work_id":"90b34a9f-6c22-4c83-a5cc-dd5de6e692ee","year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.761611Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:7dc8671ec314e55fb643aac0df476ae444268ac39d1ca586ddb4be0944825132","observation_id":"08702b0c-ca56-4c5e-909e-646047ba58ed","resolution":{"observed_at":"2026-08-07T12:45:14.734547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:14.340050Z","title":"Anisotropic function estimation using multi-bandwidth gaussian processes","venue":null,"work_id":"0be69129-9b28-450c-94fd-07bb8a9046e7","year":2014},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.792930Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:b40d4416f4351a4a315319f3a7d5092e36fb4ceeb9b021a577cc0669f8a55c4d","observation_id":"0fb6e320-4c38-4ef2-b38a-2fcd67e082b0","resolution":{"observed_at":"2026-08-07T12:45:14.467328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:14.066200Z","title":"Spatial models generated by nested stochastic partial differen- tial equations, with an application to global ozone mapping","venue":null,"work_id":"0907237e-3bba-48b4-a8ff-faa08d17e26b","year":2011},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.883986Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:4f9b959031567963bc1c7bef79b1bcfbf373ba95d81ff1f104dbf8fd5d3e1e93","observation_id":"34a42c89-fa31-4bd8-8d9c-a7519fe63d1c","resolution":{"observed_at":"2026-08-07T12:45:14.187320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:13.785412Z","title":"Lower bounds for posterior rates with gaussian process priors","venue":null,"work_id":"c58ce1de-367a-48ae-9136-50fc78e76c08","year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.925076Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:7eea8b77ac1071c69dfa3c6796841caa54f21f762d2b7e61f8a82839c2dbb668","observation_id":"6f0edffd-518a-44f6-9e64-9948f8fa4018","resolution":{"observed_at":"2026-08-07T12:45:13.909762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:02.950113Z","title":"Fixed rank kriging for very large spatial data sets","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:02.950113Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:e01b13f3cab73f8c8edbd7af2fec6166339e0dfeb8dcdf30c7f9803274068189","observation_id":"bfaa7325-4e8b-4232-ba92-a24f8893e271","resolution":{"observed_at":"2026-08-07T12:45:02.950113Z","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":"2026-08-07T12:45:13.523359Z","title":"Hierarchical nearest- neighbor gaussian process models for large geostatistical datasets","venue":null,"work_id":"d6f01924-5b88-4a51-9a23-376848629dd8","year":2016},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.011126Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:cb3dabd0b5dd96e784b028cbb2429861e2fa5d19c7d3f2b415be9fa7e3624508","observation_id":"6c983ac6-50b1-4fac-92b9-b7a7b07b9ab2","resolution":{"observed_at":"2026-08-07T12:45:13.644725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:13.249714Z","title":"de Jonge and J","venue":null,"work_id":"0bee0212-6b1c-4940-9671-0fdefa11c399","year":2010},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.064168Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:fa3918984bf3d033a9801237801a3ffbd23d1cf957feb93e48c967923625c097","observation_id":"13eff0c5-04f7-4919-938d-4f8c601612e7","resolution":{"observed_at":"2026-08-07T12:45:13.369216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:12.979509Z","title":"de Jonge and J.H","venue":null,"work_id":"44724251-6bc0-41ae-bdca-1765684ca691","year":1984},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.101579Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:ce30dcf42d6317e7cdb7c1979453a25f903f3d4df550de1fa95f6a3ee0918025","observation_id":"06bec6b6-af71-4f56-8c14-c8803054641a","resolution":{"observed_at":"2026-08-07T12:45:13.106950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:12.693417Z","title":"Adaptive estimation of multivariate functions using condi- tionally gaussian tensor-product spline priors","venue":null,"work_id":"107efa65-83c7-4dc8-b6b7-2664d833c45b","year":2012},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.130278Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:5ba416b38716fcf35ef4104924fb769948886b9985f90d7104d754fa060f9b8a","observation_id":"f2db0b6d-eeb8-4e75-8b48-0cdce80f15f1","resolution":{"observed_at":"2026-08-07T12:45:12.864066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07502","last_updated":"2025-07-10T05:54:57Z","snapshot_observed_at":"2026-08-13T05:03:56.270289Z","submitted_at":"2023-12-12T18:35:31Z","title":"Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Mat\\'ern and Confluent Hypergeometric Covariance Functions","version":3},"cited_work":{"arxiv_id":"2312.07502","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.07502","snapshot_observed_at":"2026-08-07T12:45:06.666229Z","title":"Posterior Concentration for Gaussian Process Priors under Rescaled and Hierarchical Mat\\'ern and Confluent Hypergeometric Covariance Functions","venue":"math.ST","work_id":"4dab8fc7-ca10-426a-a0bf-09210e053c8b","year":2023},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.242487Z"},"links":{"cited_paper":"/paper/2312.07502","citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:97d4fd7fcf3c10f6ce577420135104601b0e2b1c54fd841d2c385abdb1724c07","observation_id":"c9f59800-7106-4f8e-afc1-69e72bf4bf35","resolution":{"observed_at":"2026-08-07T12:45:06.824979Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:12.430451Z","title":"Approximate likelihood for large irregularly spaced spatial data","venue":null,"work_id":"7e575609-260f-4f84-ab6b-a638339253ca","year":2007},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.284805Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:572b3304619641d76e27776b12b8d80f582f73956da8983dad08f195b7e0ce9f","observation_id":"73acdee4-909a-4093-9c73-49aa79e33715","resolution":{"observed_at":"2026-08-07T12:45:12.580986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:12.243925Z","title":"Covariance tapering for interpolation of large spatial datasets","venue":null,"work_id":"66927416-3c3d-43da-8b2b-021ded39709c","year":2006},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.312181Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:2f02138b3bfb7d3bcc5574cf950064cf5a2d4855bda3d4112e41d89f1402d433","observation_id":"86740ad7-ee4a-473f-b2c8-ed0bfc8c4405","resolution":{"observed_at":"2026-08-07T12:45:12.328309Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:12.013355Z","title":"Distributed bayesian inference in massive spatial data","venue":null,"work_id":"3d87c585-b135-4981-8ebe-5a72e10918b7","year":2023},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.338591Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:e6add5ac7ed300d01405ee3d45c46059797405f6f64547a67d67d1d08fa57dc3","observation_id":"b14e9162-8250-4aab-9889-01dd263102df","resolution":{"observed_at":"2026-08-07T12:45:12.121292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:11.745768Z","title":"A case study competition among methods for analyzing large spatial data","venue":null,"work_id":"8ae47d73-34fb-4a64-879d-857ea75d6835","year":2019},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.378411Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:ecfa06af55633f31ada4e5f729be9a7ebb73e739e9a16bf76b3b2f7fed2b2ca5","observation_id":"52bfb481-bddc-4ab5-b764-c39227c28bf3","resolution":{"observed_at":"2026-08-07T12:45:11.904183Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:11.543252Z","title":"Space and space-time modeling using process convolutions","venue":null,"work_id":"4f9559d9-f38e-4852-9cde-c03d910c0ebd","year":2002},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.430655Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:1d2c0321594a1f1a22947f168ec99a13394ee0e93888d9967e95c1566dc7446d","observation_id":"65c21da4-e9ee-403c-9124-04064490986b","resolution":{"observed_at":"2026-08-07T12:45:11.654293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15813","last_updated":"2024-02-06T01:12:45Z","snapshot_observed_at":"2026-08-13T04:33:05.832916Z","submitted_at":"2024-01-29T00:27:50Z","title":"Asymptotic properties of Vecchia approximation for Gaussian processes","version":2},"cited_work":{"arxiv_id":"2401.15813","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.15813","snapshot_observed_at":"2026-08-07T12:45:06.374308Z","title":"Asymptotic properties of Vecchia approximation for Gaussian processes","venue":"math.ST","work_id":"625ff0a2-9786-4112-a6cf-7fb010e35902","year":2024},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.459673Z"},"links":{"cited_paper":"/paper/2401.15813","citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:e5cfc233d90d7f5ae271181bebb32d657b26a7eb88ad755dfb3e6b956a999eb8","observation_id":"a5d2945c-f97d-439a-b702-240811c12683","resolution":{"observed_at":"2026-08-07T12:45:06.438188Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:11.323158Z","title":"On the asymptotic representation of the euler gamma function by ramanujan","venue":null,"work_id":"0035409e-f161-419b-86c5-ae0103b5abf4","year":2001},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.530301Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:f5256c08851ae7a5921b2f5ba7ad259cc9b2ff9fd3905373be646b19dbd36b7b","observation_id":"fadc5e91-5ffb-48a6-baa7-aa49c4b44e66","resolution":{"observed_at":"2026-08-07T12:45:11.426575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:11.149398Z","title":"Eigenvalues of tridiagonal pseudo- toeplitz matrices","venue":null,"work_id":"9f6932eb-c60f-4e8e-8db0-19e9cebd8d04","year":1999},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.643144Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:355a9848d3e8096840b9e6c41ebf26810d46334b2d53b5578846c46d2b235b5b","observation_id":"d8b3ed18-fe40-4863-b410-a0d6d472d64a","resolution":{"observed_at":"2026-08-07T12:45:11.208621Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:10.990298Z","title":"Lectures on Gaussian processes","venue":null,"work_id":"459c86a7-da59-4946-aabe-830bb1f8dc46","year":2012},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.744755Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:202338df97140de24568f2af66d316bfb2d60a6cec8712671dec80044330fe3e","observation_id":"af9bccf8-76b2-442b-adbd-8951383e1411","resolution":{"observed_at":"2026-08-07T12:45:11.093873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:10.821986Z","title":"An explicit link between gaussian fields and gaussian markov random fields: the stochastic partial differential equation approach","venue":null,"work_id":"1e7b6f1c-66d2-4806-a472-51a56219cb69","year":2011},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.824602Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:aef11f2baa4c0af58aee3aaf1d88162a9ce2df1498a4dbdcca983b35dbab577c","observation_id":"b8957dc6-4f1f-4581-b022-5ceaf8fc0fc8","resolution":{"observed_at":"2026-08-07T12:45:10.904262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:10.656907Z","title":"Gaussian process emulators for computer experiments with inequality constraints","venue":null,"work_id":"1d97bbcc-61f4-4689-8118-fbcbfb4c3d27","year":2017},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:03.900460Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:0d98ce120fc49c07d99f9a4745e88351e7dc5b51b9b84357f1d83f8d9d4c90b1","observation_id":"4d937641-59e1-4c90-ad93-74897febadb1","resolution":{"observed_at":"2026-08-07T12:45:10.728786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:10.496591Z","title":"Inequalities for the incomplete gamma function","venue":null,"work_id":"f8928c6d-58f1-41e5-bc12-67f146a4e8b8","year":2000},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.012960Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:372dcac0dcf3329bb9cc4c089835a6922dd1d9f252f867bd98198740a72fe598","observation_id":"ae93d236-d305-40eb-840d-ae1db25bb0d3","resolution":{"observed_at":"2026-08-07T12:45:10.588480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:10.363642Z","title":"A multiresolution gaussian process model for the analysis of large spatial datasets","venue":null,"work_id":"97e91569-a998-4931-86ee-442e7f6f2fe4","year":2015},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.084817Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:00282d9747744b3bac0b2c1b5d82bd455fa95ec479b10b2e124c373db684f805","observation_id":"e88f7171-54eb-422a-956f-331152ab00fd","resolution":{"observed_at":"2026-08-07T12:45:10.404928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:04.210658Z","title":"Gaussian processes for machine learning, volume 1","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.210658Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:e4bbfad105acbc172c902f75a9acda7b9b7e9730d664b236a998a499374570d5","observation_id":"d4dc7fb3-062e-4d0b-9e7b-ca13fd0eaa5e","resolution":{"observed_at":"2026-08-07T12:45:04.210658Z","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":"2026-08-07T12:45:10.238556Z","title":"Efficient bayesian shape-restricted function estimation with constrained gaussian process priors","venue":null,"work_id":"af500c91-e64d-48fa-bab9-5970010e0488","year":2020},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.323678Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:5e0891c44634e9a584669097bb2282845ccfe53ead6bbe125d18f128a7b0f671","observation_id":"f7c85eb7-518c-4c9c-8f85-90ed8bdcda76","resolution":{"observed_at":"2026-08-07T12:45:10.285950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.997450Z","title":"Rectangular confidence regions for the means of multivariate normal distribu- tions","venue":null,"work_id":"ee2c2458-b6ed-434b-8aeb-ea78c706f8ee","year":1967},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.439755Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:d7e4ad53c68aebf09e2c01a526c9ae9ad68b5d2c0d6f32b8bd11807c06125524","observation_id":"d9e0e389-903a-4920-ac6e-4618e9a049e3","resolution":{"observed_at":"2026-08-07T12:45:10.134687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.844945Z","title":"Packing hyper- spheres in high-dimensional euclidean spaces","venue":null,"work_id":"412c904c-efa1-478d-aec2-b2dd06cb8047","year":2006},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.534337Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:2bf93020a0443b3f506033e1a80cbfe070dbe720907ff555d21fd3bc7be640db","observation_id":"8dfe3a7e-6d2d-4314-a7fc-eaaae7f91817","resolution":{"observed_at":"2026-08-07T12:45:09.921838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.748397Z","title":"Approximating likelihoods for large spatial data sets","venue":null,"work_id":"8928fec3-31f6-42c6-a1e2-c037e6f6b6f8","year":2004},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.646799Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:bc3023ddc044853aeb52af7fd9f6fedfc212b09be5766535f9f987a4d1eed387","observation_id":"007a0993-f42b-4859-b5fb-a7ca75faf41c","resolution":{"observed_at":"2026-08-07T12:45:09.773870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.538906Z","title":"Geostatistics for large datasets","venue":null,"work_id":"03dfd859-2696-4b85-89ab-9ad67bc30f96","year":2012},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.783565Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:ba0dc493781a1e6f05724d38ed88665f987ac8f1469e58514b1748a110315877","observation_id":"b82bb7eb-f686-4bf1-836a-7da4f529ded1","resolution":{"observed_at":"2026-08-07T12:45:09.637826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.308724Z","title":"An asymptotic analysis of distributed nonparametric methods","venue":null,"work_id":"952c9470-00e6-4d05-bc1c-bea4b69b24a8","year":2019},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.856598Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:c271ea44f3c43afd3a7ce7ba9f157325aad1acd3b7696885131426f6b21b67fd","observation_id":"097450d8-8bb0-43fc-aa74-1b1b32e87f68","resolution":{"observed_at":"2026-08-07T12:45:09.399221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:09.154394Z","title":"Adaptive distributed methods under communication constraints","venue":null,"work_id":"e0c6ee58-68ec-4ca5-aaa5-ad403423614f","year":2020},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:04.987077Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:f6278764e50f8a2c832aad4a729351eea835c37b8c75a811e65d932f0ab1ff04","observation_id":"1fea46dd-9135-4a4f-b103-d388f6480286","resolution":{"observed_at":"2026-08-07T12:45:09.240682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:05.096178Z","title":"Vecchia gaussian processes: Probabilistic properties, minimax rates and methodological developments","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.096178Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:001fe4653e7c107b2935fb33007294b39bf14cd502bfb2bf9baa899937b30f7c","observation_id":"9c93d97e-3bfc-45f4-88de-a808ed3210f4","resolution":{"observed_at":"2026-08-07T12:45:05.096178Z","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":"2026-08-07T12:45:08.989720Z","title":"Tsybakov","venue":null,"work_id":"51134fdf-fc4c-442b-a23b-869ba0d774e0","year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.245798Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:c8c832a5d4443d1891e863cb015490d1d78b7645e4639b42bc8c96532bb7c16f","observation_id":"0225df9d-d580-44b5-a55d-ebd69a08a8dd","resolution":{"observed_at":"2026-08-07T12:45:09.059649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:08.813013Z","title":null,"venue":null,"work_id":"6539dec2-3d90-4615-9ba0-768ffe5612a3","year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.355241Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:1a722fe04031b3bf87850cbf0a6ced8af1cd83b79ef876c4d7b9961ae68cf00c","observation_id":"07cfb6d9-e441-422f-afe2-fea863f159f4","resolution":{"observed_at":"2026-08-07T12:45:08.889806Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:08.651419Z","title":"Information rates of nonparametric gaussian process methods","venue":null,"work_id":"35596005-e832-4b39-b4c0-7f471d39c2bc","year":2011},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.473961Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:9d60219c451f08d32b2efe520853dea629767d75e3d64978230d8e878551ccbe","observation_id":"480d8f40-ceb1-4a6e-ae05-d205083e9601","resolution":{"observed_at":"2026-08-07T12:45:08.726483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:08.421058Z","title":"Reproducing kernel hilbert spaces of gaussian priors","venue":null,"work_id":"8aeebfde-bc6a-40f6-b34c-47b4355a2546","year":2008},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.614825Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:47ffffccd294738fe0e5651cd9a893a61bf1a7328e20109c45664fc9195c8f36","observation_id":"36568a30-0eba-4297-ad8f-982336fa9628","resolution":{"observed_at":"2026-08-07T12:45:08.522420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:08.309448Z","title":"Adaptive bayesian estimation using a gaussian random field with inverse gamma bandwidth","venue":null,"work_id":"c298d755-17d7-4eaa-ab62-5a55b4622d8f","year":2009},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.724748Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:bbdeebd9f5994cca30e3a94b17e251a90905dc77b2922bd31c2f23667acfe9dc","observation_id":"98f9a5e3-ecbe-492c-b906-9380b1174884","resolution":{"observed_at":"2026-08-07T12:45:08.363329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:08.130644Z","title":"An overview of composite likelihood methods","venue":null,"work_id":"d686d858-1c6d-4239-83f9-13aa558732fe","year":2011},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.784829Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:d5cfa46860311fc6144a8cd45dbea2d4595b410b909eef5d0972cdd41f02075c","observation_id":"31c6fe22-c72e-47fe-92c0-87bc94ccf024","resolution":{"observed_at":"2026-08-07T12:45:08.264083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:07.940335Z","title":"Estimation and model identification for continuous spatial processes","venue":null,"work_id":"5eb6bce1-4257-4f9d-b0f7-1e7c2d064907","year":1988},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.854975Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:ca368167645b4f71bee6259af4cbaa9b00e2159ddb4900e6ff6551c956979b14","observation_id":"139fb01d-8cbc-485b-a4ce-7ce04f1d20cc","resolution":{"observed_at":"2026-08-07T12:45:07.996509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:05.945159Z","title":"On stationary processes in the plane","venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:05.945159Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:9fdc03cfbe40a8cf0b560398467dbcbc94138daa8b05394cb1dd0f00265175cf","observation_id":"35c1235e-a675-4f9e-9d56-745a7e7fd6ba","resolution":{"observed_at":"2026-08-07T12:45:05.945159Z","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":"2026-08-07T12:45:07.734755Z","title":"Reex- amining the proton-radius problem using constrained gaussian processes","venue":null,"work_id":"6146bc92-4210-44a3-beb2-8facd1dc09bb","year":2019},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:06.025426Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:488cb1a1aa26e38860863e412cfc668a93cfa0939f1872903a0aba0d989f687a","observation_id":"4c8ab4e9-1769-4206-a768-fdd22bc10f24","resolution":{"observed_at":"2026-08-07T12:45:07.845433Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:07.502010Z","title":"A mass-shifting phe- nomenon of truncated multivariate normal priors","venue":null,"work_id":"02409a61-d7ef-4106-9ace-b06db1fbb921","year":2024},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:06.100323Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:479e2c36a379928a39522471929f3ec9cc19adca6c972fb5794bb1b8c45f830e","observation_id":"257171e3-7279-4a2a-bab1-1796bb0ea52a","resolution":{"observed_at":"2026-08-07T12:45:07.625430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:07.206958Z","title":"Radial neighbours for provably accurate scalable approximations of gaussian processes","venue":null,"work_id":"7981897b-5f79-4a3a-80d3-de48d17c1f42","year":2024},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:06.143439Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:8735cca2115569303c94064075f940e7aa6986242bd6be94db1e0c6cfe4fde7c","observation_id":"43c358f6-26d0-4783-8d55-1f17bcbb7a23","resolution":{"observed_at":"2026-08-07T12:45:07.341158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T12:45:07.034746Z","title":"Trigonometric series, volume 1","venue":null,"work_id":"9486c326-93db-49ab-832d-fac9dca21fe4","year":2002},"citing_paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T12:45:06.213990Z"},"links":{"citing_paper":"/paper/2505.24066"},"observation_digest":"sha256:d49795cbae17201454ed1dfaa5a56b5b7817b6c67113003aafb8c98a47f7cced","observation_id":"d8d7096a-a0c3-4cd4-a6d7-553001e68d69","resolution":{"observed_at":"2026-08-07T12:45:07.114845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24066","last_updated":"2026-06-06T13:00:34Z","latest_version":2,"primary_category":"math.ST","snapshot_observed_at":"2026-08-12T17:02:37.877009Z","submitted_at":"2025-05-29T23:18:33Z","title":"Adaptive Resolution for Finite-Rank Gaussian Processes"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":2,"verified_fuzzy":38},"total_outbound_references":46},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.24066."}