{"as_of":"2026-08-17T16:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7c59d906f8c5c77fd09a2a0b608ce468dadb88d0ac87d8d2846ab66f0630b33","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":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":17,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T17:31:19.857655Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2505.09803","last_updated":"2026-04-20T18:01:10Z","snapshot_observed_at":"2026-08-16T01:28:00.440380Z","submitted_at":"2025-05-14T20:59:10Z","title":"LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-22T14:47:04.288770Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2505.09803"},"observation_digest":"sha256:fdbe65a37477e152e5c2a4da43ef253ac848663cc0da7417cb455cbe799fd2c9","observation_id":"347574e5-aac4-4bb6-9e6c-54fec55202cf","resolution":{"observed_at":"2026-05-22T14:51:42.812018Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-15T17:31:19.857655Z","title":", Schreck, J S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.00010","last_updated":"2025-08-15T20:28:04Z","snapshot_observed_at":"2026-08-15T17:25:09.799442Z","submitted_at":"2025-08-15T20:28:04Z","title":"CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T17:31:19.857655Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2509.00010"},"observation_digest":"sha256:48b582abb3e05b5b60c9803252d607f71c62dcd17fb840716d347d97aa45cfa1","observation_id":"8ab67ce4-fa1d-4f7b-b194-3ad23b89ae9c","resolution":{"observed_at":"2026-08-15T17:31:19.857655Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T12:00:58.089412Z","title":"E., Schreck, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-14T07:49:56.485941Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.089412Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:15e092e4d77f26d177c68528fb7370403d5f0133b53841fdff0a4520f8fb2324","observation_id":"38bf1b39-5ef8-4a73-b6d3-75f8d9527ec2","resolution":{"observed_at":"2026-08-05T12:00:58.089412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-04T12:50:09.619714Z","title":", Schreck, J S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.02415","last_updated":"2026-06-04T12:37:08Z","snapshot_observed_at":"2026-08-17T04:43:12.958175Z","submitted_at":"2025-10-02T13:42:37Z","title":"The Equilibrium Response of Atmospheric Machine-Learning Models to Uniform Sea Surface Temperature Warming","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T12:50:09.619714Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2510.02415"},"observation_digest":"sha256:5563c0ec209c3032457e397846e04db2647c8d1dd5d11f32f7bd246cac3af1d6","observation_id":"f6fb5bbf-8916-458b-9a4f-46510b4687e3","resolution":{"observed_at":"2026-08-04T12:50:09.619714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-04T07:08:21.881682Z","title":"Camulator: Fast emulation of the community atmosphere model,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.27066","last_updated":"2026-07-02T11:10:43Z","snapshot_observed_at":"2026-08-16T14:45:17.530819Z","submitted_at":"2025-10-31T00:33:30Z","title":"AI-boosted rare event sampling to characterize extreme weather","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T07:08:21.881682Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2510.27066"},"observation_digest":"sha256:848edc52702fdb6f62f3dc453e669659499496393196f83b9e66a134b8c9b88d","observation_id":"29641d8e-2403-4856-88e6-2b398e07bac3","resolution":{"observed_at":"2026-08-04T07:08:21.881682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2602.13847","last_updated":"2026-08-03T05:31:53Z","snapshot_observed_at":"2026-08-15T16:26:35.859408Z","submitted_at":"2026-02-14T18:43:52Z","title":"Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-15T22:17:28.344256Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2602.13847"},"observation_digest":"sha256:462fca214a6c87627f9a136647b56b3b147a042d3f74178db7093467bfc630c8","observation_id":"57faede7-a640-4e1b-bc9e-ba9e511e6e47","resolution":{"observed_at":"2026-05-15T22:20:22.007711Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-04T06:07:13.342565Z","title":"Chapman, J","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13847","last_updated":"2026-08-03T05:31:53Z","snapshot_observed_at":"2026-08-15T16:26:35.859408Z","submitted_at":"2026-02-14T18:43:52Z","title":"Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T06:07:13.342565Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2602.13847"},"observation_digest":"sha256:cff37ab26d655afbe59f503fa0d025ba9865100bf4b2e63d5ab16b9e6e06cd9e","observation_id":"90ee6b8a-a251-43e6-a098-b5b804dc16d6","resolution":{"observed_at":"2026-08-04T06:07:13.342565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2602.16090","last_updated":"2026-04-18T18:56:05Z","snapshot_observed_at":"2026-08-13T14:15:43.387362Z","submitted_at":"2026-02-17T23:34:14Z","title":"Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T21:14:39.597264Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2602.16090"},"observation_digest":"sha256:4fec3b26d017694abeff9a2853a42d710240c426e237093c7affc2ffd8a2433d","observation_id":"9ae84d93-d167-4b41-9445-ed505f1011c7","resolution":{"observed_at":"2026-05-15T21:16:37.741181Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-07-13T16:12:25.427434Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.28704","last_updated":"2026-05-27T09:18:38Z","snapshot_observed_at":"2026-08-17T00:07:32.714838Z","submitted_at":"2026-03-30T17:21:18Z","title":"ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T16:12:25.427434Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2603.28704"},"observation_digest":"sha256:42f5147bd66407537e2ad4fcd96a166af265cb2d17432ea68a113e4b56952ab5","observation_id":"38a6e89e-dee7-4884-843c-54ff87cd80f2","resolution":{"observed_at":"2026-07-13T16:12:25.427434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2605.03802","last_updated":"2026-05-05T14:28:20Z","snapshot_observed_at":"2026-08-03T22:07:23.905672Z","submitted_at":"2026-05-05T14:28:20Z","title":"Towards accurate extreme event likelihoods from diffusion model climate emulators","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-07T12:39:46.965163Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2605.03802"},"observation_digest":"sha256:b6e6bff7e8321fe12959d7282ef47537e5ae058d6e65a7c029261e1f8924ec30","observation_id":"6339ed14-672b-42a4-94eb-88e5dee1d539","resolution":{"observed_at":"2026-05-12T09:11:25.827871Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2605.05255","last_updated":"2026-05-05T23:52:32Z","snapshot_observed_at":"2026-07-06T23:17:52.987860Z","submitted_at":"2026-05-05T23:52:32Z","title":"Prediction of Drought and Flash Drought in Africa at the Seasonal-to-Subseasonal Scale using the Community Research Earth Digital Intelligence Twin Framework","version":1},"reference_index":150,"source":"arxiv_source","source_observed_at":"2026-05-08T16:38:36.296404Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2605.05255"},"observation_digest":"sha256:471a57e7d040af67b36a09706c3af43188d8b8c6282ddf8d8a13f61158366259","observation_id":"257a12e2-ac2a-4a22-a6ce-aa8d43ce5f2d","resolution":{"observed_at":"2026-05-08T16:53:30.041024Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2606.07928","last_updated":"2026-07-03T11:28:03Z","snapshot_observed_at":"2026-08-02T14:07:06.973340Z","submitted_at":"2026-06-06T01:32:39Z","title":"Disentangling the effects of sea surface temperature and CO$_2$ in global machine learned weather-climate emulators","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-27T19:14:02.106446Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2606.07928"},"observation_digest":"sha256:40b566eabe1ea5376e8821b9d24d27d6940823fcb8e2f3bc4e686bd11b89902d","observation_id":"95452084-191f-4555-affa-9bc7bcb986b1","resolution":{"observed_at":"2026-06-27T19:31:10.505603Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2606.19302","last_updated":"2026-06-17T17:26:22Z","snapshot_observed_at":"2026-07-06T23:54:37.596257Z","submitted_at":"2026-06-17T17:26:22Z","title":"Optimal scenario design for climate emulation","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-06-26T18:43:06.382026Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2606.19302"},"observation_digest":"sha256:b5b51a395660cbac4c08a328937b450c92a00fc0f8cc61552cb383aad4fba8ed","observation_id":"8ea542da-36a3-45db-a917-bcf02b09f5aa","resolution":{"observed_at":"2026-06-26T18:49:44.395065Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":"2504.06007","doi":"10.48550/arxiv.2504.06007","metadata_source":"arxiv_reference","pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Learning non-Gaussian spatial distributions via Bayesian transport maps with parametric shrink- age","venue":"ArXiv.org","work_id":"47d17d95-b4a2-4787-994b-d34f0ba92f1a","year":2025},"citing_paper":{"arxiv_id":"2606.19642","last_updated":"2026-06-17T22:41:20Z","snapshot_observed_at":"2026-08-13T14:49:20.570545Z","submitted_at":"2026-06-17T22:41:20Z","title":"Rigorous uncertainty quantification of probabilistic AI weather forecasts with conformal prediction","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-06-26T18:21:41.472210Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2606.19642"},"observation_digest":"sha256:3ff9f2a958db97d3eddec3f13ab92d26e35a3943f74c473d2b0d6d48a440ea56","observation_id":"64ab2ac3-9ac1-47c8-b8f8-e15a236db3b8","resolution":{"observed_at":"2026-06-26T18:29:41.724973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-01T15:32:17.890757Z","title":"Chapman, John S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18416","last_updated":"2026-07-20T18:07:15Z","snapshot_observed_at":"2026-08-10T06:39:25.642809Z","submitted_at":"2026-07-20T18:07:15Z","title":"Hard conservation correctors can hide a degrading model when training autoregressive emulators","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T15:32:17.890757Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2607.18416"},"observation_digest":"sha256:f838da87b34ca25d730900ad6f7f3e9b4209a3935cdfdf106c914bd0d309cdfa","observation_id":"dc4a295a-926b-4c4e-912a-2b3d85e8bc6e","resolution":{"observed_at":"2026-08-01T15:32:17.890757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-01T15:32:18.078242Z","title":"Eric Gilleland, David Ahijevych, Barbara G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18416","last_updated":"2026-07-20T18:07:15Z","snapshot_observed_at":"2026-08-10T06:39:25.642809Z","submitted_at":"2026-07-20T18:07:15Z","title":"Hard conservation correctors can hide a degrading model when training autoregressive emulators","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T15:32:18.078242Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2607.18416"},"observation_digest":"sha256:44c9a571f95b135f27610e851942831bc5e9fc9e17745d8c38bd0d906f42d5dc","observation_id":"dac73a22-142b-4062-b0b2-41469f9bae49","resolution":{"observed_at":"2026-08-01T15:32:18.078242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.06007","snapshot_observed_at":"2026-08-14T04:15:32.982760Z","title":"arXiv preprint arXiv:2504.06007 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.10277","last_updated":"2026-08-10T22:19:59Z","snapshot_observed_at":"2026-08-16T14:52:59.811937Z","submitted_at":"2026-08-10T22:19:59Z","title":"Stochastic Emulation of a Fully Coupled Preindustrial E3SMv3 Simulation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T04:15:32.982760Z"},"links":{"cited_paper":"/paper/2504.06007","citing_paper":"/paper/2608.10277"},"observation_digest":"sha256:7959f59d398a14b6cbe1ced00c90021c7b033b3d426d70b199240ea8b1084844","observation_id":"d718a81f-b489-42b7-9715-e92dfd76deb4","resolution":{"observed_at":"2026-08-14T04:15:32.982760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2504.06007/citation-record","integrity":"/paper/2504.06007/integrity","json":"/paper/2504.06007/citation-record.json","paper":"/paper/2504.06007"},"outbound":[],"paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","latest_version":1,"primary_category":"physics.ao-ph","snapshot_observed_at":"2026-08-16T12:43:01.111021Z","submitted_at":"2025-04-08T13:15:48Z","title":"CAMulator: Fast Emulation of the Community Atmosphere Model"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2504.06007."}