{"as_of":"2026-08-12T23:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c691124e43dca8446db27b81f50e961b90498eb2bf9f797d558b5a7fd123a7b9","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T23:06:01.458695Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2603.11229/citation-record","integrity":"/paper/2603.11229/integrity","json":"/paper/2603.11229/citation-record.json","paper":"/paper/2603.11229"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T23:06:01.458695Z","title":"Barnes, Randal J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:7e31677c16d22f5a2f09707b1b5d4b40069e150446b767c0674fce1d4869023e","observation_id":"28c0f251-9b5a-47b3-a5fc-246fe58d8b40","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Review of artifical intelligence application in typhoon forecasting.Tropical Cyclone Research and Review, 14, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:96dbcd04137f829a64f12a4681e3509a13dcce006004a847a3a107d548baff74","observation_id":"5d2854a8-5fc8-4651-9272-39bf8411390a","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"om, Ulf Johansson, and T uwe L","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:06b523c9b012e1e1a1e53a5c8fba5ab6ad94ecd7ebd2219bb67553be522697eb","observation_id":"d02661ed-55dd-45bc-815c-7c5540f7f998","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:26db187ab8576af291da37b12d87a39b7fd86866cec56e65412d05bc0ef31724","observation_id":"01b53412-55fb-4c68-bf06-468f882ba222","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Ships predictor files, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:f60337a0d9fc11e0acc3fefbe466b28420768fbd3018e18c35629388cdab0b6a","observation_id":"b943f3b6-46bc-4d6f-aa58-1df69bd5d0ea","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"National hurricane center forecast verification, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:38e326f64a0add064d1e1e0d55edd51ffa4ff542743fcc2b4118c6b5d38d9771","observation_id":"07464ec0-cc41-4641-96a7-6fd2be44490d","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Nhc data archive, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:f8ffd779d23cc24510507b0bd15d21a6b61c7e8cf9a85f8a2987e4442535988a","observation_id":"cfe44cb2-b318-4fef-825b-10a3b48bc2e7","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Distributional conformal prediction.Proceedings of the National Academy of Sciences, 118(48):e2107794118, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:3ce99bc7f203fcf782005233b91dcf0684cebcb520fe4df0d483047c353078f4","observation_id":"07478f45-5d31-401f-ba40-405970155269","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Beyond pinball loss: Quantile methods for calibrated uncertainty quantification.Advances in Neural Information Processing Systems, 34:10971–10984, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:e0c505ef9f5752c566154c01c43b1ae6dc6a2c96b9949814155619cace4cf7a4","observation_id":"d6045642-a0d3-48fd-bd99-9c422009e498","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"A statistical hurricane intensity prediction scheme (ships) for the atlantic basin.Weather and Forecasting, 9, 1994","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:b557f91a724bba2f70d17ca9155dbe9f4dcf441ad4889cff7421a68a7ffca018","observation_id":"a7978be7-3858-40e4-8bd0-8d33128f0ea5","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:0a94d60a2f84702bd2c50c7e8564f4b6c68d47d1c3574fb2f6abb44ffbc4a89c","observation_id":"5a40dc77-3117-42c9-be65-f2b176987ead","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Smola, and Ryan J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:dac98fc92d0d32b0a436d001699f64eabe8035b58040ddb6281999ca71fcc81b","observation_id":"f2bb1bc7-03d4-40f3-92b9-63315a33c836","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Improving conditional coverage via orthogonal quantile regression.Advances in neural information processing systems, 34: 2060–2071, 2021","venue":null,"work_id":null,"year":2060},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:ead19525f1f16f56859b7bf121759c714fcace587141e3bb76801511b609f97e","observation_id":"3ef6d4a1-27b0-427e-88d8-fb638a0acbb3","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:6a989e28b2e72a49779f9c981f2beeea32004c5325b7f2f5920aef8ce4358398","observation_id":"3b775a51-d20b-439e-91b6-97c41ff68801","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Comparing density forecasts using threshold- and quantile-weighted scoring rules.Journal of Business and Economic Statistics, 9, 2011","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:26cabacc715dae9870003e236f12b970f8ed14ffde6521c8cced1a5e922823df","observation_id":"eefc8b9e-3e04-4354-a69d-2af28bf8b20e","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:077d362fea963519db05d7a6120d3af85d1643e28251d4c73d24313c5efe04ff","observation_id":"8d3cf8e4-2dce-446d-adb3-1aaa9856c48a","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:416880eaf0e891d18ceb8b27fdd527146152863ec7195a79410234bb57759d4b","observation_id":"fd57b3e3-6e6c-4946-bfa3-250325b7ba61","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:4b3a653aad5470572c707516c6abdd5f16e574e374b6eeb7ba67ee815d14348e","observation_id":"2ecbcbcd-6a9d-423d-bcf0-5f366da46716","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Flow-based conformal predictive distributions","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:00bc8f612a11d01be1164b8f968cf0da29ee22af8dafa4562365de63cef00ad5","observation_id":"f4aeb0ff-3571-48e9-abc6-c1123519038d","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:466fb87a99606b96e442f37729f90fcda8bdd60785feb7310292db2941c69f86","observation_id":"a357adcc-bd8c-433d-ada4-82db18752a98","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:383f82f7cff36cbf2900df88818ce743ba2c2a586948e8628d610dfcf50b8f02","observation_id":"9fffa9c7-c894-4755-b139-676edf75aa17","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:2f82f430287e22bae250e85d0f6a1bcd25a98aed6b6fa3789f9704377266144b","observation_id":"d08cabeb-b936-411d-8ad3-63da288c25d9","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Jones and Arthur Pewsey","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:d9abba3eefd080cc34f4658b2081d6a7b238b0d9e7835432b6357652efecf95f","observation_id":"16565804-8505-42d3-8711-c7b05bd1acd1","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Optimal mass transport: Signal processing and machine-learning applications.IEEE signal processing magazine, 34(4):43–59, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:e6ef47860baf685e6a23712b1ec6399e6d2b40813b41df0dc369b2cc4f959af4","observation_id":"5b4bd0dc-5a93-43f6-a9cd-5f59475d03d1","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Kumaraswamy","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:314a624252679d0c565ce21387b3fd5ea26aeacbe98ebc5ad5fca0ef8c37d20f","observation_id":"33fd78c8-1c23-4d2e-b683-cb5593b46685","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Laio and S","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:70e2493084121536f599f5ab366cfe89b62dd0dde04ee9899a5ec054af602143","observation_id":"7fcc3cf2-3946-4105-9c2f-a958e3eb185c","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Tibshirani, and Larry Wasserman","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:b8444327f9aa4c1960af89f79c83187487056e3e46ddb057ac7ba9222db4e304","observation_id":"a2d05e17-0d7c-4e83-8461-e82a9a39ad4d","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.ACM Computing Surveys, 55, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:9023cbf042bd0c8716f1f43bb5b4adb795809f9ca9e0401ade91f3ed5c8faaf4","observation_id":"fedecff0-bb3e-49da-976a-76be877d889e","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:fd55facb5b7619a30d3a76893a7171a09da6dfba15cb8edb389d8c436bcc18d2","observation_id":"b9e57fc3-3181-40b7-8f46-ae16b65f97d9","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Optimal transport for applied mathematicians.Birkäuser, NY, 55(58-63):94, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:9277729d814b6d465f284a1df8c9d3a1b5e1310c08ed3fda8ca246ebb08c3e27","observation_id":"e4f1ec68-f4d7-4f10-9bfa-3e62cb79de2e","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:0376c942223f029cf8def9c3363a29642a14481cb057bb18ac443061fddbf1d1","observation_id":"15c16aa0-90b6-49fb-aa37-b5c9885897ad","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Trabing and Michael M","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:0523e4e4708b5069ee6db4ff847910486a64427297e277fce6fd806c65658dbe","observation_id":"b28b84c9-4a4a-48c6-a899-55cf3bcf238c","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"American Mathematical Soc., 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:801fe8b5446649b390f38589b2534b1ad2df8469842b56f005eab011d4431611","observation_id":"69e85aa4-7d66-47bd-ad35-b652bb5cbbb7","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Springer, New Y ork, 2005","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:cec1257b5e6e6ed0436676e887451de713a4fc6009c7c75351b9ebe3a7a6b4ca","observation_id":"58a4ecd2-576b-4cb8-b465-32a9f4452d27","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Unconstrained monotonic neural networks.Ad- vances in Neural Information Processing Systems, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:c6ac1877f892c730282dbc0d6e0ca25e879a9cba91868414efc22abd2c244cb5","observation_id":"c118327a-8ef6-4ac7-9930-3e0fc510f4cd","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:aa825d752e168249ce7b7bc688f2a190495003f2b255ac1b9275b321d69a8c03","observation_id":"835223e5-b928-4fd8-a8c6-7e3df1382139","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Proba- bilistic inference in language models via twisted sequential monte carlo.Proceedings of Machine Learning Research, 235, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:de85b400592cadfe28ffca5b884a09b767aff67af4758d17ee9be349f03b450a","observation_id":"c79c50d0-fa7d-46f7-8ed5-8dfe22d79d6c","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","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":"2026-07-14T23:06:01.458695Z","title":"Research on a deep ensemble learning model for the ultra-short term probabilistic prediction of wind power","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-14T23:06:01.458695Z"},"links":{"citing_paper":"/paper/2603.11229"},"observation_digest":"sha256:4f56b10904e5be7709d2a5476a9d660bcae2a5ddc0e63f75f74a6a84861be3f3","observation_id":"96b1c1bc-0854-4f1e-93ba-eade1c0a8588","resolution":{"observed_at":"2026-07-14T23:06:01.458695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2603.11229","last_updated":"2026-06-26T13:56:57Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-12T19:51:56.177052Z","submitted_at":"2026-03-11T18:55:34Z","title":"Trustworthy Predictive Distributions for Tail Events with Semiparametric Diagnostic Transport Maps"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":38,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":38},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2603.11229."}