{"as_of":"2026-08-08T00:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:86e35545f3de0081a6d29e25f6faa126698638a18725c7ceec1d10747bcd7bc4","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:25:05.480959Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"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/2505.22008/citation-record","integrity":"/paper/2505.22008/integrity","json":"/paper/2505.22008/citation-record.json","paper":"/paper/2505.22008"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.16947","last_updated":"2025-04-01T12:48:48Z","snapshot_observed_at":"2026-08-04T16:22:07.472786Z","submitted_at":"2024-06-19T10:28:11Z","title":"Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16947","snapshot_observed_at":"2026-08-07T13:25:04.856369Z","title":"Yongquan Qu, Juan Nathaniel, Shuolin Li, and Pierre Gentine","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.856369Z"},"links":{"cited_paper":"/paper/2406.16947","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:1d91198ddd6db65561500cfca67f2771c719eb5a427dcd33e17fae4d8ebcefeb","observation_id":"db0cacdc-776b-4a8d-abb7-2cbd9c060dc0","resolution":{"observed_at":"2026-08-07T13:25:04.856369Z","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":"2026-08-07T13:25:07.126688Z","title":"Human preference score: Better aligning text- to-image models with human preference","venue":null,"work_id":"14d9b6fd-a26a-4f59-b0f6-cc8af2de5f0b","year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.995426Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:e694a7f05561535f0c340427ef9638487974d8115defa71b7f4fbabcb30516d0","observation_id":"2bb60f0a-499d-4d78-bc7e-d242f2aef583","resolution":{"observed_at":"2026-08-07T13:25:07.210219Z","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":{"arxiv_id":"2306.09341","last_updated":"2023-09-25T08:19:23Z","snapshot_observed_at":"2026-07-06T15:43:07.989730Z","submitted_at":"2023-06-15T17:59:31Z","title":"Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09341","snapshot_observed_at":"2026-08-07T13:25:05.066388Z","title":"Human preference score v2: A solid benchmark for evaluating human preferences of text-to-image synthesis.arXiv preprint arXiv:2306.09341, 2023b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.066388Z"},"links":{"cited_paper":"/paper/2306.09341","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:dce6e4044e7bc7f407ec0c5712fa3f0cd2cbb7d8811eac5cb28ffe3342bb4998","observation_id":"3a3f4d00-8a97-473d-961e-c0e40bb30fad","resolution":{"observed_at":"2026-08-07T13:25:05.066388Z","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":"2026-08-07T13:25:05.127788Z","title":"Dipesh Tamboli, Souradip Chakraborty, Aditya Malusare, Biplab Banerjee, Amrit Singh Bedi, and Vaneet Aggarwal","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.127788Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:3223918b159b3234620bf1fcb416601be748f78144d517811222003cadf60cf1","observation_id":"7004c7ec-c117-47fd-8bd0-6ffc9547ab88","resolution":{"observed_at":"2026-08-07T13:25:05.127788Z","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":"2026-08-07T13:25:05.346271Z","title":"Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead.arXiv preprint arXiv:2304.02948, 2023c","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.346271Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:21e0630fd8ab557f2f0d13fa4cb540cdd68a61e4bdb4846cf468862841e5eabf","observation_id":"7b28e278-2b49-447a-8dad-fd8126de322a","resolution":{"observed_at":"2026-08-07T13:25:05.346271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T13:25:05.480959Z","title":"Fixing weight decay regularization in adam.arXiv preprint arXiv:1711.05101, 5:5,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.480959Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:5f77e25f1a6e192e2a1920cc94cfea5f3418666f0f484a81cebf2ca925909c05","observation_id":"89ddf776-e1ba-43ff-a2f0-7d82d8e53ccf","resolution":{"observed_at":"2026-08-07T13:25:05.480959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04314","last_updated":"2025-03-25T17:06:27Z","snapshot_observed_at":"2026-08-06T20:07:18.681767Z","submitted_at":"2024-06-06T17:57:09Z","title":"Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04314","snapshot_observed_at":"2026-08-07T13:25:05.411402Z","title":"Aesthetic post-training diffusion models from generic preferences with step-by-step preference optimization.arXiv preprint arXiv:2406.04314,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":1926,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.411402Z"},"links":{"cited_paper":"/paper/2406.04314","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:f5e9c07113dc67bd147c83cf852c201b17ca4be0c695dd46971bf5252e2ed6ca","observation_id":"c9b8effa-4baa-4c73-a76e-2eaec840d3e6","resolution":{"observed_at":"2026-08-07T13:25:05.411402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03376","last_updated":"2024-05-08T03:27:04Z","snapshot_observed_at":"2026-07-06T18:10:20.988634Z","submitted_at":"2024-05-06T11:30:55Z","title":"CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03376","snapshot_observed_at":"2026-08-07T13:25:05.247764Z","title":"Cra5: Extreme compression of era5 for portable global climate and weather research via an efficient variational transformer.arXiv preprint arXiv:2405.03376,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":1952,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.247764Z"},"links":{"cited_paper":"/paper/2405.03376","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:9253dc5386906707997f7db911e8d06b9d5b59d0504328cbfe544b23d3c8e4ad","observation_id":"ad1fd1a2-1f3a-4f72-b6ce-5e98c9e5c4ac","resolution":{"observed_at":"2026-08-07T13:25:05.247764Z","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":"2026-08-07T13:25:04.455233Z","title":"doi:10.1175/1520- 0493(2000)128<2905:AHEKFV>2.0.CO;2","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2000,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.455233Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:36bf2559523471d7df670a3e75af772d5f0cd26d691f976786fdb076a791ce38","observation_id":"b77fb260-96f3-42a6-9423-d44766b80155","resolution":{"observed_at":"2026-08-07T13:25:04.455233Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-07T13:25:04.345649Z","title":"doi:10.1175/1520-0493(2001)129<2776:DDFOBE>2.0.CO;2","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2001,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.345649Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:7948b509649fba3493700f55ccf0bf585e03bb50360518a0b34f72aa89a5df99","observation_id":"4b4d6349-82f6-41a6-a965-b5ca46fe8fda","resolution":{"observed_at":"2026-08-07T13:25:04.345649Z","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":"2026-08-07T13:25:04.175287Z","title":"Data assimilation in the geosciences: An overview of methods, issues, and perspectives.Wiley Interdisciplinary Reviews: Climate Change, 9(5):e535, 2018a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.175287Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:c9c62aeb1b6bf3ac486f57aaa3b41e750c2a21954a9e87f8c8ba7cf8ea6217be","observation_id":"39e881d5-1ee6-4fcc-aadf-a57e8830f1af","resolution":{"observed_at":"2026-08-07T13:25:04.175287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.05908","last_updated":"2021-01-03T16:56:46Z","snapshot_observed_at":"2026-08-04T06:56:29.565877Z","submitted_at":"2016-06-19T21:02:30Z","title":"Tutorial on Variational Autoencoders","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.05908","snapshot_observed_at":"2026-08-07T13:25:05.184779Z","title":"Tutorial on variational autoencoders.arXiv preprint arXiv:1606.05908,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:05.184779Z"},"links":{"cited_paper":"/paper/1606.05908","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:31b6e88badff9a5bd8336fa6228332265db3943a2d78fd9cca528fe40f414a8f","observation_id":"13327c7f-a3b1-4e57-bbbb-1e83e4b233b6","resolution":{"observed_at":"2026-08-07T13:25:05.184779Z","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":"10.5194/gmd-8-669-2015","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:25:05.638725Z","title":"doi:10.5194/gmd-8-669-2015","venue":null,"work_id":"2c12cc14-8659-4d17-922a-2608c6fcf869","year":1991},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.253449Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:77c97ffa1efb04bb75317ce6521755ed5b3e0817afc6c9cbed282f50f44a019c","observation_id":"f63c6e67-e0b8-4021-affb-f9f37096bf2e","resolution":{"observed_at":"2026-08-07T13:25:05.737290Z","resolver_source":"doi","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":"2026-08-07T13:25:04.134636Z","title":"The era5 global reanalysis.Quarterly journal of the royal meteorological society, 146(730):1999–2049,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.134636Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:ad2d3e3ec3ba2bac3ad0aab775b0f15cc8a0061a7f02580c306377c3c114472b","observation_id":"e5cc6906-dfb6-4faa-a5ad-3b57c9c6739b","resolution":{"observed_at":"2026-08-07T13:25:04.134636Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01853","last_updated":"2023-11-02T12:40:22Z","snapshot_observed_at":"2026-07-06T16:26:58.234941Z","submitted_at":"2023-10-03T07:34:27Z","title":"Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01853","snapshot_observed_at":"2026-08-07T13:25:04.782393Z","title":"ISBN 9781713829546","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.782393Z"},"links":{"cited_paper":"/paper/2310.01853","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:afe4224099295048e96901f65c465fb16ece4807762b1a7ef491a1280a7ed1be","observation_id":"7554feed-7637-465b-8323-9c93b2de7c06","resolution":{"observed_at":"2026-08-07T13:25:04.782393Z","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":"2026-08-07T13:25:04.708518Z","title":"Physically consistent global atmospheric data assimilation with machine learning in a latent space.arXiv preprint arXiv:2502.02884,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.708518Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:46058b58c3c71e0a430e0e8a5a32e0c8258bc54e7d1f0a2f415970e6992da12d","observation_id":"a673f686-a374-45c1-bd3f-c27254f25880","resolution":{"observed_at":"2026-08-07T13:25:04.708518Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13301","last_updated":"2024-01-04T19:11:25Z","snapshot_observed_at":"2026-08-01T15:43:51.739518Z","submitted_at":"2023-05-22T17:57:41Z","title":"Training Diffusion Models with Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13301","snapshot_observed_at":"2026-08-07T13:25:04.933398Z","title":"Training diffusion models with reinforcement learning.arXiv preprint arXiv:2305.13301,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.933398Z"},"links":{"cited_paper":"/paper/2305.13301","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:9df9469ddf602add1c6c62592813fa8d1d04c5c510f1ec073099b7a9fe0a4402","observation_id":"05f131ca-7f7c-4438-ad14-52cde4e236d4","resolution":{"observed_at":"2026-08-07T13:25:04.933398Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11214","last_updated":"2022-02-22T22:19:35Z","snapshot_observed_at":"2026-08-02T21:09:07.860947Z","submitted_at":"2022-02-22T22:19:35Z","title":"FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11214","snapshot_observed_at":"2026-08-07T13:25:04.529682Z","title":"Fourcastnet: A global data-driven high- resolution weather model using adaptive fourier neural operators.arXiv preprint arXiv:2202.11214,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.529682Z"},"links":{"cited_paper":"/paper/2202.11214","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:93c42d1f545ae5ce4763b5b801d5a30c48d1c02b70862b75529ce0daa5b842d5","observation_id":"e3b4f360-c140-41c4-be7a-63bc904501b4","resolution":{"observed_at":"2026-08-07T13:25:04.529682Z","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":"2026-08-07T13:25:04.652877Z","title":"Towards an end-to-end artificial intelligence driven global weather forecasting system.arXiv preprint arXiv:2312.12462, 2023b","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.652877Z"},"links":{"citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:617aa89e45f4ab6717f8d4cc3484eead5f2514877cb14c33235241f03ff1d69f","observation_id":"438c3c57-cc1f-4920-8300-6f5f67b70ed5","resolution":{"observed_at":"2026-08-07T13:25:04.652877Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16807","last_updated":"2024-11-25T14:46:17Z","snapshot_observed_at":"2026-07-06T19:56:52.724589Z","submitted_at":"2024-11-25T14:46:17Z","title":"ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting","version":1},"cited_work":{"arxiv_id":"2411.16807","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.16807","snapshot_observed_at":"2026-08-07T13:25:06.833330Z","title":"ADAF: An Artificial Intelligence Data Assimilation Framework for Weather Forecasting","venue":"physics.ao-ph","work_id":"3f95f97f-f702-4841-a196-397870f854a5","year":2024},"citing_paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:04.594689Z"},"links":{"cited_paper":"/paper/2411.16807","citing_paper":"/paper/2505.22008"},"observation_digest":"sha256:1f39480f6444903cdcc83c63ef02ae467f1b0154719dd2d88a8cfa303981a2f9","observation_id":"441fbaf8-fe0c-4e86-9277-f0080ebabafc","resolution":{"observed_at":"2026-08-07T13:25:07.010973Z","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"}}],"paper":{"arxiv_id":"2505.22008","last_updated":"2025-05-28T06:15:41Z","latest_version":1,"primary_category":"physics.ao-ph","snapshot_observed_at":"2026-08-07T13:15:11.850487Z","submitted_at":"2025-05-28T06:15:41Z","title":"Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":2,"verified_fuzzy":1},"total_outbound_references":20},"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 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.22008."}