{"as_of":"2026-08-08T01:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:571888f9c7ce27b65617d481bfbc6f15f8a479a195206132e4e310cb1a1a9372","coverage":[{"denominator":116,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:39.720844Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.24694/citation-record","integrity":"/paper/2505.24694/integrity","json":"/paper/2505.24694/citation-record.json","paper":"/paper/2505.24694"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:35:30.117501Z","title":"and De Iorio, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.117501Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:d5fbb5db8e28d6d61d77214af7752904aa597beb953e13ea9b4d6e36405ff7fa","observation_id":"2da5e0ca-5168-449e-a9da-0231c6390aed","resolution":{"observed_at":"2026-08-07T12:35:30.117501Z","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":"2026-08-07T12:35:30.207318Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.207318Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ab3dd52da85b4017bb0bab8dab54899ee54402b7dbdab1c9d0c972e49d1bb26b","observation_id":"22fe7ce9-1319-4b51-9de1-5d7f8a690d23","resolution":{"observed_at":"2026-08-07T12:35:30.207318Z","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":"2026-08-07T12:35:30.313322Z","title":"P., and Gelfand, A","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.313322Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:359657307b0648fd47748c41177da1df41f5a1c801dc94f84b59e2bf3ff64ce1","observation_id":"127b9c74-6f9e-43ec-8b1b-d6594e46cef6","resolution":{"observed_at":"2026-08-07T12:35:30.313322Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.09034","last_updated":"2025-04-24T15:19:44Z","snapshot_observed_at":"2026-07-06T14:53:00.543390Z","submitted_at":"2023-02-17T18:02:45Z","title":"Bayesian Mixtures Models with Repulsive and Attractive Atoms","version":4},"cited_work":{"arxiv_id":"2302.09034","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.09034","snapshot_observed_at":"2026-08-07T12:35:42.204257Z","title":"Bayesian Mixtures Models with Repulsive and Attractive Atoms","venue":"math.ST","work_id":"c811728c-6335-4b99-ab7e-ee26f3a7cd8f","year":2023},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.382665Z"},"links":{"cited_paper":"/paper/2302.09034","citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c2bd75ad641ef9f1eeb8f605476fa48b783d41aada56808ff79494b696d2adb2","observation_id":"cf2c22d8-7365-4f0e-8c67-46a261907c6f","resolution":{"observed_at":"2026-08-07T12:35:42.304020Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:30.451531Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.451531Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:e340128e2e8c1bafead0fc6de4c4cd11943751f6e91586357e037be1a638ed65","observation_id":"918c9efd-8bfc-4af8-aac3-ddde0f5f6be3","resolution":{"observed_at":"2026-08-07T12:35:30.451531Z","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":"2026-08-07T12:35:30.579069Z","title":"C., Ehrlich, R., and Full, W","venue":null,"work_id":null,"year":1984},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.579069Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:00995254998c5b35160d4183e4389a2c3870c267e5542e5e15920a5325f27a08","observation_id":"8dc2c73f-7ef5-42c9-a518-56efa4118635","resolution":{"observed_at":"2026-08-07T12:35:30.579069Z","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":"2026-08-07T12:35:30.670875Z","title":null,"venue":null,"work_id":null,"year":1978},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.670875Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:8d7ab9db9ce90c33ee611fcabdcefc22da29d391ef3e56d0bafa9a0144a27ba8","observation_id":"9da2a34d-19b4-4337-85b9-92d9ae78a6f5","resolution":{"observed_at":"2026-08-07T12:35:30.670875Z","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":"2026-08-07T12:35:30.787006Z","title":"and Fr \\\"u hwirth-Schnatter, S","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.787006Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:f1c64cbdc637b01afe5560e781857d1cd8d99220aaff0cd753f388cbd89000e9","observation_id":"7cd3d631-53d9-4db7-8999-237fdb4a4bce","resolution":{"observed_at":"2026-08-07T12:35:30.787006Z","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":"2026-08-07T12:35:30.869925Z","title":"B., and Raftery, A","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.869925Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:6bee7a5f389c2e997b818c873d42acf6255576d8d52e7fefed1d967a3cf82512","observation_id":"5ade81b4-93bc-4ba1-8c08-0ec6a0fe667a","resolution":{"observed_at":"2026-08-07T12:35:30.869925Z","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":"2026-08-07T12:35:30.976279Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:30.976279Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a555e6517a4cafb18808a8c43c2b37fef8d696014dc0088380a85cd5f99b1fe3","observation_id":"6eb9cfaf-069a-4b3f-b4cb-b515d434f484","resolution":{"observed_at":"2026-08-07T12:35:30.976279Z","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":"2026-08-07T12:35:31.065307Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.065307Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:269eacdc184a2c997958e203218f9b1cc6e5bee6d63c4eed25ef219f03d7d777","observation_id":"2960ccb4-c42c-4e1a-b4ff-8b366328e610","resolution":{"observed_at":"2026-08-07T12:35:31.065307Z","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":"2026-08-07T12:35:31.134374Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.134374Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0b60e5af0ca34826ce9dd266eb6aec96227246404165be9334d2325aa3220dec","observation_id":"b75ad0c8-190b-476a-a318-460339fee4d8","resolution":{"observed_at":"2026-08-07T12:35:31.134374Z","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":"2026-08-07T12:35:31.217161Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.217161Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:e6ae6a256d9a9a2392e0cf0f94be3b72b6ba676e08d23b53633783428b08a8ac","observation_id":"36d3b69e-cc56-44c7-a7f5-b96b55d92b5e","resolution":{"observed_at":"2026-08-07T12:35:31.217161Z","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":"2026-08-07T12:35:31.301490Z","title":"and Wikle, C","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.301490Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:f4871655e05791f56fde288c96b9f5927308852754a1c30f598c8e15d876b7a0","observation_id":"429f92d3-9db2-4678-b93c-afcb86d9c991","resolution":{"observed_at":"2026-08-07T12:35:31.301490Z","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":"2026-08-07T12:35:31.363164Z","title":"B., Johnson, D","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.363164Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:634353ae99439780c195afe3acbe8c8357b29f9ffb197fd6d2af3abc9da1daaa","observation_id":"d4f5d9ba-f28a-498f-8f30-3f0b4018b73b","resolution":{"observed_at":"2026-08-07T12:35:31.363164Z","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":"2026-08-07T12:35:31.448447Z","title":"B., Johnson, D","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.448447Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:672b0bb9e10ac1e4de3748fbcbb0f66f123a015bd85da99f7c638d91873c72d3","observation_id":"768f6d0c-e439-4b92-9eeb-cae02d57848e","resolution":{"observed_at":"2026-08-07T12:35:31.448447Z","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":"2026-08-07T12:35:31.546174Z","title":"and Raftery, A","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.546174Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:edee7bbbbee65337e9e612f6a397e0a45f392b9952e3a5aeb03c5571d32a8af3","observation_id":"10fa97ea-b5a0-479d-b253-e0534d474417","resolution":{"observed_at":"2026-08-07T12:35:31.546174Z","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":"2026-08-07T12:35:31.622956Z","title":"O., Hamm, N","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.622956Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:6741cdc5dc889f0f47b7c2fd7cbed0404ea59e4ef9935716626904048d55ce0c","observation_id":"db2178c4-f46f-4f2b-b921-7f03ab5eb85d","resolution":{"observed_at":"2026-08-07T12:35:31.622956Z","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":"2026-08-07T12:35:31.675670Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.675670Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:d7c820c9af4bf737f7c8016cb8b9882999b13e02746cdd79e5a3dc9d3ae00cac","observation_id":"975e645b-753f-43fa-aa3a-cf009d2d2771","resolution":{"observed_at":"2026-08-07T12:35:31.675670Z","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":"2026-08-07T12:35:31.754647Z","title":"A., Guindani, M., and Gelfand, A","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.754647Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a497443cfd2f1ae1d4d256b2c9e41d7f7574ff1d29077ce35dd9426c53a1943c","observation_id":"9c74a4d0-5b55-46d8-8567-b6b0a6c42688","resolution":{"observed_at":"2026-08-07T12:35:31.754647Z","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":"2026-08-07T12:35:31.895059Z","title":"and Sanderson, C","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:31.895059Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ab8bce3dcb5670f5e89a89bd9f195066f60499669f7a5b69ae15068b10c37698","observation_id":"0749f592-6549-4acf-91bc-c9cb02352bde","resolution":{"observed_at":"2026-08-07T12:35:31.895059Z","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":"2026-08-07T12:35:32.017480Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.017480Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:992f50d22b7e60a3fc7b57fb5ff2aa2fe389d9864122c1ae3413719981b651f3","observation_id":"3d1f3372-9a0f-4488-851e-392afc2d8288","resolution":{"observed_at":"2026-08-07T12:35:32.017480Z","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":"2026-08-07T12:35:32.133182Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.133182Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:fc5ea49619ec2f7462902002b8f22ffda6f13a65b6f6a3cbcde724a18e7bca3b","observation_id":"009e091d-d6bb-4090-a6a2-66478da7764f","resolution":{"observed_at":"2026-08-07T12:35:32.133182Z","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":"2026-08-07T12:35:32.260817Z","title":"Directive 2008/50/ec of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.260817Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:71fce9180b1bb965659d334a5a5f0ca90fcadcc83b02819727e4d3fcc4378c77","observation_id":"3734c8ef-c005-4f9d-83cc-79583bfacaac","resolution":{"observed_at":"2026-08-07T12:35:32.260817Z","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":"2026-08-07T12:35:32.332846Z","title":null,"venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.332846Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a798b0482bdb6758bae99c0a83ff2cc4109cd72172eef7b93eae74a76a2b4ec1","observation_id":"d2b3e9e3-1d8b-428d-b0fd-07372397d470","resolution":{"observed_at":"2026-08-07T12:35:32.332846Z","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":"2026-08-07T12:35:32.436035Z","title":"and Green, P","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.436035Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0c9e612a675e0fd6468d1c401eba2120ca5bcf1828641410f5185fcd45514fb7","observation_id":"e49b651d-73ff-4b60-b0b6-165d7f6ac566","resolution":{"observed_at":"2026-08-07T12:35:32.436035Z","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":"2026-08-07T12:35:32.532084Z","title":"and Raftery, A","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.532084Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:5eab1b8e8273d9ca8240586d13ddd6bb8f51dccd72a6eee843d914bc40d5e766","observation_id":"2a38d75c-8c86-4651-80c5-0c0c664ee57d","resolution":{"observed_at":"2026-08-07T12:35:32.532084Z","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":"2026-08-07T12:35:32.627981Z","title":"C., Browne, R","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.627981Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:77ed76a81a8391712c43f43917270d6e0a380b7daaccb3fac3dad9e7b321106f","observation_id":"1c509f8d-be93-49aa-bfc6-dc4a714c84d3","resolution":{"observed_at":"2026-08-07T12:35:32.627981Z","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":"2026-08-07T12:35:32.734286Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.734286Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:995a9bd9ac9c8a7b9b7cd87c7ef70c08f0ffd3241a7124558ac6d8c567de29ac","observation_id":"e3a978ae-0378-4346-8aa1-eb228566bf22","resolution":{"observed_at":"2026-08-07T12:35:32.734286Z","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":"2026-08-07T12:35:32.805217Z","title":"and Kaufmann, S","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.805217Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:1e5bf816f4a7e8763624e2d7a0063b733c42b09356201eae3d4dc1826a111750","observation_id":"0638f538-f069-451e-8c3a-20d10cfec0c0","resolution":{"observed_at":"2026-08-07T12:35:32.805217Z","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":"2026-08-07T12:35:32.886284Z","title":"u hwirth-Schnatter, S., Malsiner-Walli, G., and Gr \\","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.886284Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:85c02031be9e25772b5422f818aa4c67ab5a97fa861534e515601949471d0b23","observation_id":"8ef0c8e1-6944-4f03-b9a0-9d827d55e8e5","resolution":{"observed_at":"2026-08-07T12:35:32.886284Z","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":"2026-08-07T12:35:32.952067Z","title":"and Pyne, S","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:32.952067Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:4b7c663d7094efcfbbceda6486149df1e992fd3698e856224256d9a31c6492ff","observation_id":"d4879c82-a317-4c5d-ae73-aebc1c58f742","resolution":{"observed_at":"2026-08-07T12:35:32.952067Z","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":"2026-08-07T12:35:33.033383Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.033383Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:697789bc8cf3f03d821f6b86fad3771df648b9d6160155febe2636bd063b8360","observation_id":"a07593d9-acba-4bf4-ba17-92b493406444","resolution":{"observed_at":"2026-08-07T12:35:33.033383Z","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":"2026-08-07T12:35:33.101063Z","title":"E., Kottas, A., and MacEachern, S","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.101063Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:f84684acff9c9e3c6f1f030ffc6a9e7fb1724a64fcda71ab505d7f74e8e48614","observation_id":"4b14cf46-5a87-4921-8dd3-bffbaa538099","resolution":{"observed_at":"2026-08-07T12:35:33.101063Z","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":"2026-08-07T12:35:33.189308Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.189308Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:9f7a3f4c59ac291cea145942a35f0e3a616b4044ef56f98a874fa3b10b889211","observation_id":"4fa15bb0-c0c4-42f3-a17e-3d953f9e167e","resolution":{"observed_at":"2026-08-07T12:35:33.189308Z","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":"2026-08-07T12:35:33.296076Z","title":"and Pitman, J","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.296076Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:79d6af31e0630a788d33f2acb1567861c279be73eb1c406146b3bf39d708c79a","observation_id":"eba8d03d-d70a-4046-9d55-58e0570ca638","resolution":{"observed_at":"2026-08-07T12:35:33.296076Z","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":"2026-08-07T12:35:33.363820Z","title":null,"venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.363820Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:fd0c640cdfd6baf875c40f0080c160c9a021099eb9c30ebd683ae8e7b776e25b","observation_id":"4a82b481-a179-478c-b812-92cb7d335890","resolution":{"observed_at":"2026-08-07T12:35:33.363820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17182","last_updated":"2025-05-23T01:53:28Z","snapshot_observed_at":"2026-07-06T15:09:57.207567Z","submitted_at":"2023-03-30T06:36:44Z","title":"Advances in Bayesian random partition models: A comprehensive review","version":3},"cited_work":{"arxiv_id":"2303.17182","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.17182","snapshot_observed_at":"2026-08-07T12:35:42.018343Z","title":"Advances in Bayesian random partition models: A comprehensive review","venue":"stat.ME","work_id":"47e0473f-2bda-4bf6-9d36-fa4f4e37eebe","year":2023},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.425100Z"},"links":{"cited_paper":"/paper/2303.17182","citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:4c5949e1206ddeefd2f745bccf75dbc938739569704130b71b188ea921c34d02","observation_id":"eec7feec-fe9b-4c10-8432-5975df382f38","resolution":{"observed_at":"2026-08-07T12:35:42.091493Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:33.483263Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.483263Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:87c97dd8b962d31079d9084b81c523c543935279968f837653c7ddfbccfba20c","observation_id":"c3870b7f-cf7c-4f08-af2e-f22060304968","resolution":{"observed_at":"2026-08-07T12:35:33.483263Z","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":"2026-08-07T12:35:56.759084Z","title":null,"venue":null,"work_id":"e86a6577-8c02-4474-b688-ce3dc0274e59","year":1995},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.550203Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:fee2be963b3f8342826a597d69394a89267dffbb40cf6c65b7e90ca0331ad5e3","observation_id":"c37e30e2-a5e2-4bb8-9c07-e7e0e8c81d22","resolution":{"observed_at":"2026-08-07T12:35:56.825112Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:56.616972Z","title":"C., Engen, G","venue":null,"work_id":"1107c6f2-e378-47ba-87ab-04a7e9dbc6e3","year":1974},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.647079Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:12308695f7cd16ddaeee6c1dd0f8d72602e24b578ff944f644084bf95a00b624","observation_id":"f9e5d35f-78dc-4dce-934a-36afcbdbee5d","resolution":{"observed_at":"2026-08-07T12:35:56.688921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:56.444424Z","title":null,"venue":null,"work_id":"20b3186f-7d4c-445d-af74-580a34216234","year":2015},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.746517Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0b278552e29bcfde7eb48650884be33cd5ee94be100a37a29365ccd33f3fef52","observation_id":"fb2f3666-459b-4de9-9892-3b330fce26ba","resolution":{"observed_at":"2026-08-07T12:35:56.518260Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:33.821140Z","title":null,"venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.821140Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:fdab413be983c98162c3ac3812acb91ca6c3ca46961e303f1671049107b8015c","observation_id":"fbeabddd-6e2e-4a67-9278-f0028c7f2f27","resolution":{"observed_at":"2026-08-07T12:35:33.821140Z","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":"2026-08-07T12:35:56.242065Z","title":null,"venue":null,"work_id":"a9e64e80-87b5-4999-81f1-7f87d85adbdd","year":1990},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.912691Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:7a6ca9b5afb87d74c193b977c42c85f816d5e6789dab55496ad6fa4fc088f287","observation_id":"e69a1fb0-324b-4ce8-b332-3462892efd9b","resolution":{"observed_at":"2026-08-07T12:35:56.312915Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:56.107042Z","title":"J., Hooten, M","venue":null,"work_id":"16e26fff-24cb-43f9-b034-06ed1f226f98","year":2017},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:33.973576Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:bfcc2cc01f7791559f4783af7118865cab7a706404a67d7d61d330bb1b2a82de","observation_id":"10bbf5c6-9e54-4bfa-bc9a-3f3569cca723","resolution":{"observed_at":"2026-08-07T12:35:56.170257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:55.957918Z","title":"and James, L","venue":null,"work_id":"a213bd1b-49e1-4dac-b070-cd550ebb10f8","year":2001},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.054356Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:2f3ea7b1051cc81c9b2e9f0ed3e170c49a64aeed4f062442fad83698875af763","observation_id":"5c63923d-8c4c-4f78-adaf-3af3f86dc7df","resolution":{"observed_at":"2026-08-07T12:35:56.020834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:55.835315Z","title":"C., and Stephens, D","venue":null,"work_id":"abff8dfa-2046-41b3-a130-f1828290b36b","year":2005},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.127516Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:be477bb95edf95767dd6b2a69365c45d6dffcc473dbb6d8b4168294fa3625a56","observation_id":"854be2ea-c029-4a44-a785-07e52f042551","resolution":{"observed_at":"2026-08-07T12:35:55.905286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:55.646364Z","title":"E., and Walker, S","venue":null,"work_id":"bf4986f0-b79f-40b3-922f-ed016c29d199","year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.253908Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:230cb683b6a1c75c8fdd3b006a7e89d20cd73563e521f802f2634a5ab5f9e469","observation_id":"4a6155d1-88db-41af-be1e-7d80cd3a9e9b","resolution":{"observed_at":"2026-08-07T12:35:55.730592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:55.474306Z","title":"and Xekalaki, E","venue":null,"work_id":"8ea39efb-8e2b-44ef-af76-70591bd51794","year":2005},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.373822Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c62686219c5f12fd42ea4bad7bad08f89a2cd9e7149f5e7b29aec8bae645b031","observation_id":"f656b3a2-4eed-4202-b443-e256e9b8623a","resolution":{"observed_at":"2026-08-07T12:35:55.539654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:55.293589Z","title":"and Fr \\\"u hwirth-Schnatter, S","venue":null,"work_id":"63b2900e-62e8-4041-8dad-b74c59be17d1","year":2014},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.464233Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:5c48eb3ba18a5e0d760dae62299c98906d4b9094fbbbca8b96bff4017302be53","observation_id":"68a9df3e-6066-4152-bee3-f6a38f9a4436","resolution":{"observed_at":"2026-08-07T12:35:55.383755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:54.955084Z","title":"and Besag, J","venue":null,"work_id":"220aaef1-a9bb-4ee8-bb28-9078acee2be4","year":1998},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.537138Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ef19f852c78e97230bdda2865c243169dc2d0f9a8c59e9b1200c08f2d672990b","observation_id":"715526ee-d8ac-4faf-81d5-fc5bd8b29be0","resolution":{"observed_at":"2026-08-07T12:35:55.115924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:54.644868Z","title":"A., and Gelfand, A","venue":null,"work_id":"13935bcd-0356-4e44-8825-20ac9a27b481","year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.551110Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:6b918d27729c551dd90ba6f7e41fd64549c0b5515f4e3e44b186d13c458f690b","observation_id":"154da27f-498b-4992-ad99-c2228bf2029f","resolution":{"observed_at":"2026-08-07T12:35:54.785896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:54.359932Z","title":null,"venue":null,"work_id":"bf23185c-278b-4522-bfbf-74ba99fe70a6","year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.646138Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:3fd4a277ef02881d5eaf189288f9323d5c7e843643ebbac329a8ac7f62dcfd9a","observation_id":"d23f21e4-2086-4207-9b22-ec2d1d975c8d","resolution":{"observed_at":"2026-08-07T12:35:54.505924Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:54.085296Z","title":null,"venue":null,"work_id":"31916081-402d-4346-8b3a-7644a02fd50c","year":2012},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.731196Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:2809047f087c491ae45b193eda6a53ca700b8a779c2c73766240e7998bd71a9d","observation_id":"26eb81d5-2a9d-4d6b-b3d6-9a9dc23f9c4a","resolution":{"observed_at":"2026-08-07T12:35:54.194614Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:53.741989Z","title":null,"venue":null,"work_id":"38496705-3041-481a-af18-610eb2a4bd91","year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:34.911026Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:4d1cee4c9899970f64f46d619a9b1f326c5109512f94ffa95659106f9b470f36","observation_id":"3c8e80da-682e-42f0-810f-691b565b13fd","resolution":{"observed_at":"2026-08-07T12:35:53.856904Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:53.512433Z","title":"E., Gangnon, R","venue":null,"work_id":"6ac79983-4119-4f40-a860-3a48b3cb0ed4","year":2021},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.019634Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:b6547f04c4a68d67f184c6e4ca241a22c5ef386d845ca04947f3028cda519866","observation_id":"44f1fad9-56db-4c23-a650-2b89c4c1f0d9","resolution":{"observed_at":"2026-08-07T12:35:53.614801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:53.215019Z","title":"and McLachlan, G","venue":null,"work_id":"aa6d22b7-1b0e-4514-83ee-971ac28cf30b","year":2014},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.170742Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:7e9db90dbed56d6eff6d31c5436e08dcb9aa58a10654e28fd8f1e9de9a0d17d4","observation_id":"ed0e676e-dab3-467d-b432-ca0771aa1b62","resolution":{"observed_at":"2026-08-07T12:35:53.334060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.996612Z","title":null,"venue":null,"work_id":"053e350a-3407-418e-9dc3-60a3f6d9c100","year":2016},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.345231Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:41143e285fa92816ba68937ea5d4c2d2427241a7a33c0ebb926d4b1417c2e4c7","observation_id":"815f8100-df42-42c3-9c66-4725e913c282","resolution":{"observed_at":"2026-08-07T12:35:53.081102Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.818366Z","title":null,"venue":null,"work_id":"132f8373-93ed-4fb4-a1fb-4ea1436b7b5a","year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.503258Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:5be4383c784df4d95c5109a2306dfe8d7a4cd7be7894186b6ecd78e1fa7c898e","observation_id":"6dc7ad8d-ab3d-4ab4-ab6c-f5bbbc2be086","resolution":{"observed_at":"2026-08-07T12:35:52.907475Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.648361Z","title":null,"venue":null,"work_id":"6620d2ac-2548-4697-88b1-618da374c7c7","year":2024},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.748324Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:5f8f68e75433cb0cbfa1d87474a06691af0821db7f75a84f43c0f9845fb6ed6f","observation_id":"5fe00f54-14bc-4ed8-85ad-ae64ea1b2bd0","resolution":{"observed_at":"2026-08-07T12:35:52.731667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.518837Z","title":null,"venue":null,"work_id":"661f41a0-283a-4c3e-a4c4-5062e641ffa7","year":1984},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:35.927378Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:bebef335b1ef6487f9fe88e2890d37dc708977ec3706cbe333a7e891b66fd51b","observation_id":"e1fa188c-5599-4b6c-a80e-a4a0e05066e7","resolution":{"observed_at":"2026-08-07T12:35:52.574379Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.358722Z","title":null,"venue":null,"work_id":"80be00e4-80e0-4499-a671-f68463b587f1","year":1994},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.117244Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:272289b285c7d6f77b144031ae1739cf9ced0b4414e9ca40089fdb904b06d4fc","observation_id":"69712836-3047-4d31-891d-5f355845a4ec","resolution":{"observed_at":"2026-08-07T12:35:52.441278Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:52.201320Z","title":null,"venue":null,"work_id":"bdd0201b-c698-4422-8f9e-4884d454408d","year":1998},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.312523Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:068ee90004b8d058066a461e800c030048214c7645746f6c5877c2420d099db2","observation_id":"3ee3f593-c73b-419b-baf4-36beca619ac8","resolution":{"observed_at":"2026-08-07T12:35:52.265289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:36.376578Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.376578Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ff701d6add4f3e802e421b2ca46d35631cd8eeeb8728a2c28605f34c22836428","observation_id":"0607daaf-aa47-4d2e-a769-84156a6d8acc","resolution":{"observed_at":"2026-08-07T12:35:36.376578Z","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":"2026-08-07T12:35:52.049243Z","title":null,"venue":null,"work_id":"385b249a-c3e8-4a8b-a4ae-5655405bb16b","year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.486430Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:513d2ce8d0bc0e0bcc327d4ac917715d324ab5c9b9290c03cb655b9b0d3b79cd","observation_id":"d545a22a-3dba-4148-9968-a60689c0dec1","resolution":{"observed_at":"2026-08-07T12:35:52.124025Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:51.844060Z","title":"J., Miller, S., and Pelletier, D","venue":null,"work_id":"492249bd-98e8-44d8-aa43-98e638d268a5","year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.598331Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a742a81057b1f64b18bca00a3b5832c838db0cbbdf4a4fc7749b5008cbc31d8a","observation_id":"3d9913d2-d572-423d-a025-b550053736c3","resolution":{"observed_at":"2026-08-07T12:35:51.921346Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:51.624329Z","title":null,"venue":null,"work_id":"6982b20f-bc4f-41a8-8ae8-472e75b82563","year":2007},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.671971Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:966917d0a798c87d0c472557b7c6b0ceded2ec5c945f9069b6ee627bccf8ebb9","observation_id":"3c0d46f0-a235-4093-ba6b-dba88bab93e4","resolution":{"observed_at":"2026-08-07T12:35:51.721870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:51.363228Z","title":null,"venue":null,"work_id":"98fd9253-1778-4a7e-9868-5887259b9f8b","year":1992},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.824297Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a71cfdd67d93ae63466b854307943599cc13e366f95087ac1f5705c513c52603","observation_id":"9794d207-725d-4994-bb00-e250b99eafdd","resolution":{"observed_at":"2026-08-07T12:35:51.502695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:36.914184Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:36.914184Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:80655b623f314200c3f036d21859d3aed380d67be37fa31cabb1efbb2d59d181","observation_id":"98b5cca8-6a43-4f78-b9a2-76aae00e7a00","resolution":{"observed_at":"2026-08-07T12:35:36.914184Z","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":"2026-08-07T12:35:51.074355Z","title":null,"venue":null,"work_id":"abbab441-3a3b-4ac0-b431-00b6b154bd78","year":2010},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.010576Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:fd3dd0efdfc8812fc0638081dcf7adf58a5743ad85869ede76e4eb362f11c7fa","observation_id":"f6210c3f-f928-48d7-b067-68990b98107b","resolution":{"observed_at":"2026-08-07T12:35:51.162222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:50.707672Z","title":null,"venue":null,"work_id":"8d1d22b0-8c64-4485-81aa-e6f13c5cf69b","year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.111723Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a62eb4aa376a85053617fad2a652c18d3d204985c8e80ad34a8140f2db685e94","observation_id":"aadcb204-8af1-4cad-b653-79e2b07cfbe2","resolution":{"observed_at":"2026-08-07T12:35:50.929211Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:50.405222Z","title":"A., Jara, A., and Hanson, T","venue":null,"work_id":"17e38d2c-9803-4622-96c5-8c09b81c1db7","year":2015},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.201491Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:b9c5f0469c48aa2ef77ee66be78819b15c9b8a49d3caac45a94e2f91e1d4ec62","observation_id":"a6bbf3b1-1ca9-4369-bcc1-d693e2d6ec35","resolution":{"observed_at":"2026-08-07T12:35:50.507672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:50.307524Z","title":"M., Gaetan, C., and Girardi, P","venue":null,"work_id":"89cf115f-9e2f-4ec1-ba02-e61d65bf0163","year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.275667Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:993afe6afc09fb596fb5031c9252506cdbd10832843ffa21158f67cdb50fc862","observation_id":"343bafef-6fb4-420b-943e-6a157da09222","resolution":{"observed_at":"2026-08-07T12:35:50.383781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:50.140765Z","title":null,"venue":null,"work_id":"d5be4424-3bff-45cf-9cff-edda660dbb01","year":2000},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.350717Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:311394290b20f4f6a5f83570e6f52ab487208d0e3bae1698135feabaff149af6","observation_id":"b56e233c-65eb-44b8-9386-ea17251cf8cd","resolution":{"observed_at":"2026-08-07T12:35:50.205858Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:49.974583Z","title":"and Gelfand, A","venue":null,"work_id":"de768096-1a3b-42cc-9b19-93ac3dab1e1b","year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.467323Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ca9f2d59a5969c481b5f5abaffedae6bce8ad0e72ef51697e6ff94dd1da2f432","observation_id":"1a135a4c-9782-4369-9d52-f64432f707ed","resolution":{"observed_at":"2026-08-07T12:35:50.042851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:49.838636Z","title":null,"venue":null,"work_id":"577f3a09-76ce-477d-9095-fdfb49b71461","year":2014},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.561951Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:eec9ed1e838295f03e94ed03d7669fb60fc7a4b180b4eda8f52872f459cd5ee6","observation_id":"da15adb6-042e-4b0c-ad68-6c2029796a41","resolution":{"observed_at":"2026-08-07T12:35:49.892108Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:49.349252Z","title":null,"venue":null,"work_id":"5b43278d-a8a2-4399-9540-34cb28efb06b","year":2004},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.632131Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:454919c09de386687ef9b86c6ddc0d29646df13947bf7bfa8e6d046cab03111e","observation_id":"3cb3845a-1116-45c7-8134-5b7ade9e83d2","resolution":{"observed_at":"2026-08-07T12:35:49.576626Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:48.795309Z","title":"B., Gormley, I","venue":null,"work_id":"8791daf8-fba1-4e8f-8a60-3f2b42dff42a","year":2016},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.724454Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:527911f87c27d88a76dcc762412fb705a6a737218b21e5d36abc895d60453362","observation_id":"4278f27d-be0c-442d-a522-98f0aec381fc","resolution":{"observed_at":"2026-08-07T12:35:49.078286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:48.499355Z","title":"E., and Holland, D","venue":null,"work_id":"9b15d055-f88d-42e9-883d-401e40b4d590","year":2013},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.816149Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:7597c8b430d71c4421734306413c70837a6b4fb4e2ee3b9b0004a5eecf9727bd","observation_id":"f695cec6-b68d-4b6b-a6c5-19b97bad3dbd","resolution":{"observed_at":"2026-08-07T12:35:48.616278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:48.294002Z","title":null,"venue":null,"work_id":"9f72ac3c-2fd8-4a79-9b1c-2a5b92d1fc96","year":2016},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:37.930138Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:a2c53cb0c3b711a836fe021449cf9ee40a3cece8da5c92ada983a9c508c643d3","observation_id":"d7263ae8-7b86-4dd8-b379-b622de1d51bd","resolution":{"observed_at":"2026-08-07T12:35:48.349572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:47.913394Z","title":"L., Quintana, F","venue":null,"work_id":"acb62334-d236-4219-9da4-cbf38305152b","year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.026318Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:4e33dc8dc5d7ecc0231ed9bf59fece12678967d14815936218d103c36d59173f","observation_id":"29ee53a0-8938-4981-822c-5a9772c7a29a","resolution":{"observed_at":"2026-08-07T12:35:48.041251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:47.735379Z","title":null,"venue":null,"work_id":"09a267b4-b7fc-4efd-bbd7-61964469e21e","year":2005},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.140855Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c836c84753666ad6481e594eb27a77dc75a8169abe218637533b6da96fde1541","observation_id":"ad416626-fcca-4dc5-ac8f-0908e7638775","resolution":{"observed_at":"2026-08-07T12:35:47.829988Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:47.576565Z","title":"and Roberts, G","venue":null,"work_id":"82e0ed00-0ab5-41a9-ac1d-ea11dc46059d","year":2008},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.234058Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c52a86d87048995e4320f72f6399bcb2f5ee8f7e2cc1671ba60b0e1fbf386fba","observation_id":"ded8b1f4-2779-466d-9a0b-bfa9fbe83163","resolution":{"observed_at":"2026-08-07T12:35:47.644136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:47.382635Z","title":"and McNicholas, P","venue":null,"work_id":"5c6ca4bd-3f7e-4493-9166-c2953c75476f","year":2020},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.328003Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c9aa21a403bb2746c2bdcc350c12f4d0ef9707e51d2b2d7cfcbda34a4f367dce","observation_id":"11325c98-1673-4cef-9621-255b1bbff00c","resolution":{"observed_at":"2026-08-07T12:35:47.493103Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:47.226333Z","title":"J., Benvenuti, C., Cianella, R., Caputo, M","venue":null,"work_id":"abff196b-4598-4c8e-86c3-2dee45248d49","year":2020},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.401869Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:5efd1e524acfa7b56ca77bcea73ba8ea4af10bd1299d13a74638d9f07f93acee","observation_id":"1b96e311-86f3-4585-9e55-00b7f9935553","resolution":{"observed_at":"2026-08-07T12:35:47.276522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:38.471531Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.471531Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:9ee0c459be2cd12e2ec0ec22f3962ea272f73b651bcbc247ca1014d8567cd7e4","observation_id":"4809bda1-f811-4839-8566-362c7ac1a3b1","resolution":{"observed_at":"2026-08-07T12:35:38.471531Z","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":"2026-08-07T12:35:47.031080Z","title":"C., Demaria, G., Colombi, C., Cuccia, E., and Dal Santo, U","venue":null,"work_id":"ed6e0604-a599-4f84-aeaa-c51a224d029a","year":2022},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.632126Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:67b81397c0f4de0aab3ab5f3c689d7fdfe73ca8bab68d1130bfb8202c3097c92","observation_id":"5b3db9b7-26bc-4074-af91-3ebcb019500c","resolution":{"observed_at":"2026-08-07T12:35:47.130045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.852322Z","title":null,"venue":null,"work_id":"76bc912b-7660-476c-a238-cb256abc91b2","year":1995},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.719307Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0cb4aa9e11cadba59446f8f68b9619d36c4ed5a7d1c3f5db5c672fdb6f154c27","observation_id":"9d6a5a62-0bbe-474e-a11f-7ed11fe1e7e0","resolution":{"observed_at":"2026-08-07T12:35:46.954414Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.713400Z","title":null,"venue":null,"work_id":"80806202-a16b-4a0b-ad2b-0ff9ffd1aceb","year":1996},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.788485Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:503cdd2d3361be9bdd969cb08fee84dfbdc779353e0e901d2e2a160dc7e79ac2","observation_id":"7ff6b580-1458-4ac9-af48-93ca7cbe9e99","resolution":{"observed_at":"2026-08-07T12:35:46.777406Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.530852Z","title":null,"venue":null,"work_id":"afd1b89f-d545-4fc1-8ec4-299d8bf7bb2f","year":2006},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.902876Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0afdee8534f7732250592617d90bcc9a55f3b2449f7fef42cfc960519f5743ca","observation_id":"1779ed1b-fbde-496a-a146-037ebd2efdde","resolution":{"observed_at":"2026-08-07T12:35:46.616669Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.347154Z","title":"and Maruotti, A","venue":null,"work_id":"69ef50c3-8295-4feb-afc2-f8d914dab3c2","year":2020},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:38.977888Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:15824e15cdc80f8ba0554e9608e38661bb4f7275a04c2b00dfbb8de73ec167ca","observation_id":"34526ea7-8651-4a98-bc97-0f0b965eea43","resolution":{"observed_at":"2026-08-07T12:35:46.432690Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:46.176202Z","title":null,"venue":null,"work_id":"b7f33e73-5a96-4994-af35-28a5a8cef0a5","year":2005},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.049406Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:911259a17bce0c38c9d1a9069326ac697db12e194366246bfdd9e218a648a252","observation_id":"0db16a11-5772-4d1c-a92d-1ab3eec8bd12","resolution":{"observed_at":"2026-08-07T12:35:46.250431Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.949566Z","title":null,"venue":null,"work_id":"9a217282-d296-4bd5-a1ad-285437193a28","year":2007},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.124039Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:1c8d651183f6ccb110dc14dd4bd8a18d1a6d74427904f3aefbb95a4646594aaa","observation_id":"1aedd75b-d775-4aba-b7dd-afeb5de66793","resolution":{"observed_at":"2026-08-07T12:35:46.065561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.806160Z","title":"and Green, P","venue":null,"work_id":"bdbf52b7-2bf6-4df4-8890-609f62afc135","year":1997},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.202713Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ecc4882621627bf0d7c4376d1bca19c14873cd66b920a2f9b7907e817320c27c","observation_id":"18ef528d-9bc9-4c48-929f-9434fa85cdcd","resolution":{"observed_at":"2026-08-07T12:35:45.871080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.615518Z","title":"and Dunson, D","venue":null,"work_id":"3b26e9d3-1469-48c2-b319-3c1beb27246f","year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.281303Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:0b0d31822d7ff8df6237f4cab35cc6270001089fc50a0bbc38299930cd9e7d96","observation_id":"1438d719-20b9-4ebc-b67d-dc295bf63f3b","resolution":{"observed_at":"2026-08-07T12:35:45.711199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.484441Z","title":null,"venue":null,"work_id":"30be345f-cc86-4c0a-aa59-5762eaf41c6c","year":2019},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.360241Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:c741b892938c77200b2b91880e0cbe56cf3403d25826740ce0ef1a22f46bf7b7","observation_id":"5fec1b72-c8aa-4443-b46b-2856b5bef000","resolution":{"observed_at":"2026-08-07T12:35:45.531910Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:39.456690Z","title":"and Mengersen, K","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.456690Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:d3fad8c580df4e640fe28cd981ee95d6e7c60e8ad26729ddf03227625b0af906","observation_id":"0f96f67b-6101-42de-a198-cd133cf4b7c8","resolution":{"observed_at":"2026-08-07T12:35:39.456690Z","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":"2026-08-07T12:35:45.292214Z","title":null,"venue":null,"work_id":"8eff3d72-d106-4cf3-9c33-f88c1da826a6","year":2017},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.536993Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:ef313d84c950915c1cb7ed0e3d873745e2c934157a3595d09d5cf2a92c5f6ded","observation_id":"614d3304-0ecc-4ba0-8f83-60c2ce40e52d","resolution":{"observed_at":"2026-08-07T12:35:45.364929Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:45.145110Z","title":"K., Gelfand, A","venue":null,"work_id":"31b9ef39-29d0-474a-a304-3b6dd81ac799","year":2006},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.653910Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:f66476bc9f8545431f0876467d589aa2a566e1a213632a42cd0b1401728c627f","observation_id":"bc2a47e9-10ab-4370-8024-041cf10a43c2","resolution":{"observed_at":"2026-08-07T12:35:45.217728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T12:35:44.998009Z","title":null,"venue":null,"work_id":"e802b412-3746-41b1-bac4-4ff7fd0767bd","year":2023},"citing_paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:39.720844Z"},"links":{"citing_paper":"/paper/2505.24694"},"observation_digest":"sha256:9fa360bbbcc842a56627210869a530cfc7a2c10f8e009656f2ca0e7e33571fab","observation_id":"96fba0a3-7784-4887-8d28-12c4d0dbe512","resolution":{"observed_at":"2026-08-07T12:35:45.060570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.24694","last_updated":"2025-05-30T15:16:44Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-07T12:13:10.889930Z","submitted_at":"2025-05-30T15:16:44Z","title":"Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":72,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":116},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 100 of 116 outbound references and 0 inbound Pith citation observations for arXiv:2505.24694."}