{"as_of":"2026-08-06T22:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:eb42b2176fba78dd601ca0ff657f5f2cb9d435470db1d910da78356d1a153b86","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T12:00:59.123703Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T16:12:25.427434Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T02:34:13.557287Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.02061","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":"2026-07-13T16:12:21.508689Z","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":7,"source":"pdf_text","source_observed_at":"2026-07-13T16:12:25.427434Z"},"links":{"cited_paper":"/paper/2509.02061","citing_paper":"/paper/2603.28704"},"observation_digest":"sha256:1c4182b5c85e9117f13b1aa0b3ac1d6f5571fb6599bad1c9a91e434c37a6a54d","observation_id":"c697ba56-1327-4a03-b984-65bf903685b3","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":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"cited_work":{"arxiv_id":"2509.02061","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.02061","snapshot_observed_at":"2026-06-30T02:34:13.557287Z","title":"arXiv preprint arXiv:2509.02061 , year=","venue":null,"work_id":"51a7921e-e1ec-43bb-ad61-d2ddfcb0d4d8","year":null},"citing_paper":{"arxiv_id":"2606.29172","last_updated":"2026-06-28T03:36:57Z","snapshot_observed_at":"2026-07-07T00:03:12.330608Z","submitted_at":"2026-06-28T03:36:57Z","title":"CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-06-30T02:29:51.948373Z"},"links":{"cited_paper":"/paper/2509.02061","citing_paper":"/paper/2606.29172"},"observation_digest":"sha256:f4528d1565b59710573c54573ef725303d8f470c691c63664d6d8fc6661065b5","observation_id":"08bd385b-8264-4415-95f9-b1f4bd2409dd","resolution":{"observed_at":"2026-06-30T02:34:13.559602Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.02061/citation-record","integrity":"/paper/2509.02061/integrity","json":"/paper/2509.02061/citation-record.json","paper":"/paper/2509.02061"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.12873","last_updated":"2023-10-20T07:54:04Z","snapshot_observed_at":"2026-07-06T15:45:32.070369Z","submitted_at":"2023-06-22T13:34:26Z","title":"FuXi: A cascade machine learning forecasting system for 15-day global weather forecast","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.12873","snapshot_observed_at":"2026-08-05T12:00:58.260315Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.260315Z"},"links":{"cited_paper":"/paper/2306.12873","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:0c9e190dc9ffc9d62e7906eb6934c2fd9adf1a0972eceed11be3cbc4b9f12b6d","observation_id":"1bd13106-e057-46e3-885f-1be9cc8fd4de","resolution":{"observed_at":"2026-08-05T12:00:58.260315Z","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":"2409.16247","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:00:59.938312Z","title":"I., Moreno, R., and Karlbauer, M.: A deep learning earth system model for efficient simulation of the observed climate, arXiv preprint arXiv:2409.16247,","venue":null,"work_id":"51851071-97a9-4089-90a0-27d43f7e806f","year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.346169Z"},"links":{"citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:8f91ff7aad694d31c37fab8a04b4bbd21445c2e71da5d3cbdd9f0e4483ec9b17","observation_id":"91b05acf-63da-4330-beff-50501a3f2c72","resolution":{"observed_at":"2026-08-05T12:01:00.039314Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T12:00:58.500216Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.500216Z"},"links":{"citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:92f90e8cbe8c6e197cb6b7b9a868851d5472966f04f10cc1f14efe89cdcc8800","observation_id":"7935bc58-e743-4ee5-b845-0838d6a4e2ba","resolution":{"observed_at":"2026-08-05T12:00:58.500216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23953","last_updated":"2025-03-31T11:11:16Z","snapshot_observed_at":"2026-08-05T03:41:47.670182Z","submitted_at":"2025-03-31T11:11:16Z","title":"Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data","version":1},"cited_work":{"arxiv_id":"2503.23953","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.23953","snapshot_observed_at":"2026-08-05T12:00:59.642747Z","title":"Skilful global seasonal predictions from a machine learning weather model trained on reanalysis data","venue":"physics.ao-ph","work_id":"171147d1-a11a-44b5-bd7f-7f0083500002","year":2025},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.580637Z"},"links":{"cited_paper":"/paper/2503.23953","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:7bece35469e5045752cd8c052f1c07c249893787df8cb18dd50868145e3583ca","observation_id":"805f1c52-09a5-41c9-bae3-0182a17fee8e","resolution":{"observed_at":"2026-08-05T12:00:59.732367Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-08-05T12:00:58.667754Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.667754Z"},"links":{"citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:45391f0b273f38cace5778ed2b94b10b4b12f4b1d833fca3467b500fd991d148","observation_id":"974023b1-dbef-4e86-b728-1393a6eff5c8","resolution":{"observed_at":"2026-08-05T12:00:58.667754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.10191","last_updated":"2024-11-20T01:10:15Z","snapshot_observed_at":"2026-07-06T19:50:56.818819Z","submitted_at":"2024-11-15T13:44:37Z","title":"FengWu-W2S: A deep learning model for seamless weather-to-subseasonal forecast of global atmosphere","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.10191","snapshot_observed_at":"2026-08-05T12:00:58.753019Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.753019Z"},"links":{"cited_paper":"/paper/2411.10191","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:cbfad3a507f6d1c75c4befff036e8f648e9e5a1c80af9a07da724eb59412bab5","observation_id":"708181b6-1cc6-4269-9371-1360eadc38a2","resolution":{"observed_at":"2026-08-05T12:00:58.753019Z","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":"2026-08-05T12:00:58.840603Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.840603Z"},"links":{"cited_paper":"/paper/2202.11214","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:298de2be44ee827f0dfdb21bb6e89411c18f615c6c1587be4c2187a180ee9c7f","observation_id":"5bdd5760-03f2-47ab-9d11-3d27f2aa526e","resolution":{"observed_at":"2026-08-05T12:00:58.840603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14932","last_updated":"2025-05-15T16:01:20Z","snapshot_observed_at":"2026-08-04T00:13:24.528550Z","submitted_at":"2024-10-19T01:36:51Z","title":"Can AI weather models predict out-of-distribution gray swan tropical cyclones?","version":3},"cited_work":{"arxiv_id":"2410.14932","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.14932","snapshot_observed_at":"2026-08-05T12:00:59.463599Z","title":"Can AI weather models predict out-of-distribution gray swan tropical cyclones?","venue":"physics.ao-ph","work_id":"55a14926-f955-4e58-bd90-0c34b91057c6","year":2024},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.922472Z"},"links":{"cited_paper":"/paper/2410.14932","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:b9986cda1db347b465531a03d29e7f74a1b030732ecf5233866dd7dfaa143330","observation_id":"93159901-ef2d-4d07-9b20-426a1f2b6218","resolution":{"observed_at":"2026-08-05T12:00:59.524157Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.08632","last_updated":"2024-06-12T20:29:14Z","snapshot_observed_at":"2026-07-06T18:29:58.140132Z","submitted_at":"2024-06-12T20:29:14Z","title":"Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.08632","snapshot_observed_at":"2026-08-05T12:00:59.010112Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:59.010112Z"},"links":{"cited_paper":"/paper/2406.08632","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:a9e779785907fde0d1af8e081b29325bab0d1b5fb6d25c0e8316ea445b221972","observation_id":"efcd0c27-ad48-4962-9c5d-33b4c46a4e90","resolution":{"observed_at":"2026-08-05T12:00:59.010112Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.02074","last_updated":"2023-12-06T21:33:12Z","snapshot_observed_at":"2026-07-06T16:27:07.155310Z","submitted_at":"2023-10-03T14:15:06Z","title":"ACE: A fast, skillful learned global atmospheric model for climate prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.02074","snapshot_observed_at":"2026-08-05T12:00:59.123703Z","title":"K., Henn, B., Duncan, J., Brenowitz, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:59.123703Z"},"links":{"cited_paper":"/paper/2310.02074","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:cc39afaf8013a8848e454ff74b2a81424766a0d7cfc5c5d681510c2cf8acc3de","observation_id":"80a7f216-713e-4a57-bc97-797894ae8964","resolution":{"observed_at":"2026-08-05T12:00:59.123703Z","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":"10.1029/2021ms002712","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:00:59.268323Z","title":null,"venue":null,"work_id":"59c83fdd-049d-46eb-b581-b4691d9f1baf","year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.049192Z"},"links":{"citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:bd8a41df8e2dbc4ea5caf874cac4e9272436b3bcdd469508e1c95e1ba382c656","observation_id":"9fc28396-33a7-451f-aaae-8f05aa3f5550","resolution":{"observed_at":"2026-08-05T12:00:59.332274Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.06007","last_updated":"2025-04-08T13:15:48Z","snapshot_observed_at":"2026-08-02T17:35:12.314561Z","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":"2026-08-05T12:00:28.978309Z","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:ca3b5bc0292b5fa6bd982e699f7a8328a7af41f028cd13d9bc4d2a1a9d41de30","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":"2405.16297","last_updated":"2025-04-10T21:53:56Z","snapshot_observed_at":"2026-07-06T18:19:56.964336Z","submitted_at":"2024-05-25T16:27:13Z","title":"LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O(1000)-member ensembles","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16297","snapshot_observed_at":"2026-08-05T12:00:58.439159Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.439159Z"},"links":{"cited_paper":"/paper/2405.16297","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:e314b0ffafa74bdbd5ab918145e8b6590d3cfc0c0612752102406f0397786abc","observation_id":"cf04d35e-4662-4d9b-ab78-5c1dc10cf272","resolution":{"observed_at":"2026-08-05T12:00:58.439159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","snapshot_observed_at":"2026-07-06T15:15:42.652360Z","submitted_at":"2023-04-14T09:49:11Z","title":"Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07029","snapshot_observed_at":"2026-08-05T12:00:58.170199Z","title":"and Hassanzadeh, P.: Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution, arXiv preprint arXiv:2304.07029,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-05T12:00:58.170199Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2509.02061"},"observation_digest":"sha256:1df170f497af816529c82c2b9ef29a78450d9548ec60b5172c1c59060e2942f2","observation_id":"72945e1a-55b3-4e49-a7e1-7c10f35fbcff","resolution":{"observed_at":"2026-08-05T12:00:58.170199Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.02061","last_updated":"2025-09-02T07:59:23Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-05T12:00:28.978309Z","submitted_at":"2025-09-02T07:59:23Z","title":"LUCIE-3D: A three-dimensional climate emulator for forced responses"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":10,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":14},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 inbound Pith citation observations for arXiv:2509.02061."}