{"as_of":"2026-08-14T16:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c67ae9f009ee08c8499defdc6bce4fc6ca9cd8f690c54ad54150ce2302d3eda","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:58:33.025134Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T00:46:24.676698Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-08-11T20:58:33.025134Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05195","last_updated":"2025-07-22T16:53:30Z","snapshot_observed_at":"2026-08-11T20:48:05.404821Z","submitted_at":"2024-12-06T17:18:31Z","title":"Piecewise-linear modeling of multivariate geometric extremes","version":3},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-11T20:58:33.025134Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2412.05195"},"observation_digest":"sha256:4a70777438a4135fb4bac5825e3ab6015153ec697ba70c098f23773c4a09682b","observation_id":"98048f1c-c7af-482a-99a1-ddb0b0e3042b","resolution":{"observed_at":"2026-08-11T20:58:33.025134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-08-05T13:32:23.943982Z","title":"J., Majumder, R., and Richards, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.00585","last_updated":"2025-08-30T18:40:56Z","snapshot_observed_at":"2026-08-13T15:14:24.247912Z","submitted_at":"2025-08-30T18:40:56Z","title":"MOPED: A moving sum method for change point detection in pairwise extremal dependence","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T13:32:23.943982Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2509.00585"},"observation_digest":"sha256:a0ba6e26920fd699ad4b24d94d4575fca55312875738f5140e2c7956852d3a66","observation_id":"677acfb7-067c-447b-ac37-f8bbcb7e5c98","resolution":{"observed_at":"2026-08-05T13:32:23.943982Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":"2406.19936","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-07-02T00:46:24.676698Z","title":"Majumder, R","venue":null,"work_id":"805c3c0f-a1c4-464e-b87d-435540c793fd","year":2024},"citing_paper":{"arxiv_id":"2604.21647","last_updated":"2026-04-23T13:09:44Z","snapshot_observed_at":"2026-08-14T00:06:58.255767Z","submitted_at":"2026-04-23T13:09:44Z","title":"Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-08T13:30:34.588404Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2604.21647"},"observation_digest":"sha256:af1d4226dde5061a0739c99193b2795f640d06bf6688a72622345359f58532e6","observation_id":"f479ec62-cda7-402f-a48c-1f9ee9edcc52","resolution":{"observed_at":"2026-05-11T18:51:09.041429Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":"2406.19936","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-07-02T00:46:24.676698Z","title":"Majumder, R","venue":null,"work_id":"805c3c0f-a1c4-464e-b87d-435540c793fd","year":2024},"citing_paper":{"arxiv_id":"2605.01909","last_updated":"2026-05-03T14:43:51Z","snapshot_observed_at":"2026-07-06T23:15:01.968194Z","submitted_at":"2026-05-03T14:43:51Z","title":"Extrapolation in Statistical Learning with Extreme Value Theory","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-09T16:26:07.319256Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2605.01909"},"observation_digest":"sha256:51f692a4ed9826a0aa8de0166509e361a4cdad0c369e0d138228d8fad59a24a7","observation_id":"8534e911-999b-4e0b-9cf9-cf1b76c3a5b2","resolution":{"observed_at":"2026-05-11T16:31:09.428137Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":"2406.19936","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-07-02T00:46:24.676698Z","title":"Majumder, R","venue":null,"work_id":"805c3c0f-a1c4-464e-b87d-435540c793fd","year":2024},"citing_paper":{"arxiv_id":"2606.02676","last_updated":"2026-06-01T13:45:16Z","snapshot_observed_at":"2026-08-14T12:16:37.393354Z","submitted_at":"2026-06-01T13:45:16Z","title":"Diagnostic Tools for Extreme Value Regression Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-06-28T13:16:15.829149Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2606.02676"},"observation_digest":"sha256:d5b6bf72d0cc24fcb6227e1e861f4dba8600ab3238d1f9deaf9d522bd60667c3","observation_id":"fb49035f-f568-466d-a0e8-b70bb2c1f048","resolution":{"observed_at":"2026-07-02T00:46:24.679284Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19936","snapshot_observed_at":"2026-08-02T00:34:06.053499Z","title":"arXiv preprint arXiv:2406.19936 , archivePrefix =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15000","last_updated":"2026-07-17T09:03:52Z","snapshot_observed_at":"2026-08-05T05:17:00.425457Z","submitted_at":"2026-07-16T13:50:23Z","title":"Flood risk estimation via geometric extremal graphical models","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-02T00:34:06.053499Z"},"links":{"cited_paper":"/paper/2406.19936","citing_paper":"/paper/2607.15000"},"observation_digest":"sha256:08e1a75fd85006a91512d21ad2668cea7c5da3fe791ff53b3218f101d7b93af5","observation_id":"ea3b2b33-b847-4522-b36c-6d7a5e6818ee","resolution":{"observed_at":"2026-08-02T00:34:06.053499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.19936/citation-record","integrity":"/paper/2406.19936/integrity","json":"/paper/2406.19936/citation-record.json","paper":"/paper/2406.19936"},"outbound":[],"paper":{"arxiv_id":"2406.19936","last_updated":"2024-09-13T11:18:42Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-14T10:35:10.046059Z","submitted_at":"2024-06-28T14:05:47Z","title":"Deep Learning of Multivariate Extremes via a Geometric Representation"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.19936."}