{"as_of":"2026-08-07T12:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d17865a77a4e8ca17544fbaa7db6718e587113580f8a93abc93997b9419cdb2d","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:35:21.667209Z","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":14,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","snapshot_observed_at":"2026-08-07T00:31:29.636388Z","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":"2026-08-07T12:35:21.667209Z","title":"Q., and Hassanzadeh , P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.24429","last_updated":"2025-06-06T10:05:06Z","snapshot_observed_at":"2026-08-07T12:19:50.883761Z","submitted_at":"2025-05-30T10:10:40Z","title":"Deep Learning Weather Models for Subregional Ocean Forecasting: A Case Study on the Canary Current Upwelling System","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:21.667209Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2505.24429"},"observation_digest":"sha256:4cc86e8a20ae5d446407846073e751583100b1f40ebac88549b03c484b10befc","observation_id":"cbca5ea0-fe42-481c-9206-8ca0c9755c64","resolution":{"observed_at":"2026-08-07T12:35:21.667209Z","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":"2026-08-07T00:31:29.636388Z","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":"2026-08-07T10:45:39.731901Z","title":"Qiang Sun, and Pedram Hassanzadeh","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.04528","last_updated":"2025-06-05T00:28:26Z","snapshot_observed_at":"2026-08-07T10:37:41.413116Z","submitted_at":"2025-06-05T00:28:26Z","title":"Hierarchical Implicit Neural Emulators","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T10:45:39.731901Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2506.04528"},"observation_digest":"sha256:c194971e1fd59819a3a3e922010f8f393e662bd4b44a2104fddcc1f5e8cd097f","observation_id":"e5acd101-3a51-4b6a-9e61-5b30322f0d5c","resolution":{"observed_at":"2026-08-07T10:45:39.731901Z","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":"2026-08-07T00:31:29.636388Z","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":"2026-08-06T19:08:47.858597Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06479","last_updated":"2025-07-09T01:56:25Z","snapshot_observed_at":"2026-08-06T19:01:20.464476Z","submitted_at":"2025-07-09T01:56:25Z","title":"Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T19:08:47.858597Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2507.06479"},"observation_digest":"sha256:7202b69c4fc48efd105470ddf6f7b92ffacb89d7f2ea56628aaf21e31668a249","observation_id":"018caf01-9b0f-426c-9d51-29867aa292f0","resolution":{"observed_at":"2026-08-06T19:08:47.858597Z","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":"2026-08-07T00:31:29.636388Z","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":"sha256:82df844ad0fc6d670fd7605d26257621d1a54cf9e8a9b579da2566cfa6ca5268","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"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","snapshot_observed_at":"2026-08-07T00:31:29.636388Z","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":"2026-08-04T14:56:45.379060Z","title":"and Hassanzadeh, P","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.22474","last_updated":"2026-06-16T01:29:01Z","snapshot_observed_at":"2026-08-06T10:38:27.926291Z","submitted_at":"2025-09-26T15:20:06Z","title":"Generative multi-scale modeling and downscaling via spatial autoregressive transport maps","version":3},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T14:56:45.379060Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2509.22474"},"observation_digest":"sha256:5bb250e54e4615221bfa7cf6318b0f9e5b64f852221eb5cbaa7dcb994a97615b","observation_id":"22bfc485-01e4-4487-9cd3-8041a92f73c9","resolution":{"observed_at":"2026-08-04T14:56:45.379060Z","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":"2026-08-07T00:31:29.636388Z","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":"2304.07029","doi":"10.48550/arxiv.2304.07029","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.07029","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Hassanzadeh, P","venue":"arXiv (Cornell University)","work_id":"d5eb054d-100f-4654-9d22-99b8bfd985ff","year":null},"citing_paper":{"arxiv_id":"2602.01486","last_updated":"2026-05-06T03:00:29Z","snapshot_observed_at":"2026-07-06T22:44:00.266269Z","submitted_at":"2026-02-01T23:41:58Z","title":"Multi-Scale Wavelet Transformers for Operator Learning of Dynamical Systems","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T08:21:01.173583Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2602.01486"},"observation_digest":"sha256:c3fd268755a3d7510f366a22440a186e24b280e8c733a5016b6bc8722359e425","observation_id":"64f862c2-c71d-4a97-a5f0-67a117960388","resolution":{"observed_at":"2026-05-16T08:22:36.052658Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","snapshot_observed_at":"2026-08-07T00:31:29.636388Z","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":"2304.07029","doi":"10.48550/arxiv.2304.07029","metadata_source":"arxiv_reference","pith_arxiv_id":"2304.07029","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"and Hassanzadeh, P","venue":"arXiv (Cornell University)","work_id":"d5eb054d-100f-4654-9d22-99b8bfd985ff","year":null},"citing_paper":{"arxiv_id":"2606.02610","last_updated":"2026-06-21T16:56:32Z","snapshot_observed_at":"2026-08-05T02:44:46.212791Z","submitted_at":"2026-05-24T20:17:51Z","title":"Samudra 2: Scaling Ocean Emulators across Resolutions","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T23:34:10.205047Z"},"links":{"cited_paper":"/paper/2304.07029","citing_paper":"/paper/2606.02610"},"observation_digest":"sha256:41e28022fd6a3e1e5ddb0d747ade9b003c38a9707a81a835baf899cac044e8b6","observation_id":"8f2473d3-53d9-4d72-85f3-a94c66bfa447","resolution":{"observed_at":"2026-06-29T23:44:02.662086Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2304.07029/citation-record","integrity":"/paper/2304.07029/integrity","json":"/paper/2304.07029/citation-record.json","paper":"/paper/2304.07029"},"outbound":[],"paper":{"arxiv_id":"2304.07029","last_updated":"2024-12-07T10:52:38Z","latest_version":2,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-07T00:31:29.636388Z","submitted_at":"2023-04-14T09:49:11Z","title":"Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2304.07029."}