{"as_of":"2026-08-10T14:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4cbe0a6c45d0262aa916bea71449496be93dd5555811531b71112a4bb593c9a5","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:13:21.230272Z","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":"2026-07-01T13:35:46.148413Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.10493","last_updated":"2023-02-21T07:46:08Z","snapshot_observed_at":"2026-07-06T14:54:00.594534Z","submitted_at":"2023-02-21T07:46:08Z","title":"Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.10493","snapshot_observed_at":"2026-08-08T18:13:21.230272Z","title":"Weather2k: A multivariate spatio- temporal benchmark dataset for meteorological forecasting based on real-time observation data from ground weather sta- tions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07814","last_updated":"2025-02-09T02:05:33Z","snapshot_observed_at":"2026-08-10T13:14:21.869788Z","submitted_at":"2025-02-09T02:05:33Z","title":"Satellite Observations Guided Diffusion Model for Accurate Meteorological States at Arbitrary Resolution","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:21.230272Z"},"links":{"cited_paper":"/paper/2302.10493","citing_paper":"/paper/2502.07814"},"observation_digest":"sha256:bf73ccbea3e52ec90bcd1082119f05dfd660b8a94bd04a951f042524d38b4a1d","observation_id":"6af0288b-6a79-4539-a6d5-a33e742e81cd","resolution":{"observed_at":"2026-08-08T18:13:21.230272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10493","last_updated":"2023-02-21T07:46:08Z","snapshot_observed_at":"2026-07-06T14:54:00.594534Z","submitted_at":"2023-02-21T07:46:08Z","title":"Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations","version":1},"cited_work":{"arxiv_id":"2302.10493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10493","snapshot_observed_at":"2026-07-01T13:35:46.148413Z","title":"Weather2k: A multivariate spatio-temporal benchmark dataset for meteorological forecasting based on real-time observa- tion data from ground weather stations","venue":null,"work_id":"e0fbee2e-f0a7-43d2-aff0-bba3220a4654","year":2023},"citing_paper":{"arxiv_id":"2605.12542","last_updated":"2026-06-11T05:51:05Z","snapshot_observed_at":"2026-07-06T23:24:13.851504Z","submitted_at":"2026-05-09T08:34:30Z","title":"Earth Science Foundation Models: From Perception to Reasoning and Discovery","version":1},"reference_index":188,"source":"pdf_text","source_observed_at":"2026-05-14T22:07:40.242567Z"},"links":{"cited_paper":"/paper/2302.10493","citing_paper":"/paper/2605.12542"},"observation_digest":"sha256:39322539e18b47ac65b4f9723dae60685ef29fea1386d2eee483ab3d88006a5f","observation_id":"854194c7-e378-45c6-ab63-1b3568ac1bdf","resolution":{"observed_at":"2026-05-14T22:08:03.188409Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.10493","last_updated":"2023-02-21T07:46:08Z","snapshot_observed_at":"2026-07-06T14:54:00.594534Z","submitted_at":"2023-02-21T07:46:08Z","title":"Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations","version":1},"cited_work":{"arxiv_id":"2302.10493","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2302.10493","snapshot_observed_at":"2026-07-01T13:35:46.148413Z","title":"Weather2k: A multivariate spatio-temporal benchmark dataset for meteorological forecasting based on real-time observa- tion data from ground weather stations","venue":null,"work_id":"e0fbee2e-f0a7-43d2-aff0-bba3220a4654","year":2023},"citing_paper":{"arxiv_id":"2605.12542","last_updated":"2026-06-11T05:51:05Z","snapshot_observed_at":"2026-07-06T23:24:13.851504Z","submitted_at":"2026-05-09T08:34:30Z","title":"Earth Science Foundation Models: From Perception to Reasoning and Discovery","version":2},"reference_index":188,"source":"pdf_text","source_observed_at":"2026-06-30T23:07:21.558834Z"},"links":{"cited_paper":"/paper/2302.10493","citing_paper":"/paper/2605.12542"},"observation_digest":"sha256:695735ee80a16dc074d9558cb2be83927082c3ae823727e81fbaabd2ad4d3d9d","observation_id":"97ed006f-7de4-43a5-bbc6-38288da0ff2b","resolution":{"observed_at":"2026-07-01T13:35:46.150175Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2302.10493/citation-record","integrity":"/paper/2302.10493/integrity","json":"/paper/2302.10493/citation-record.json","paper":"/paper/2302.10493"},"outbound":[],"paper":{"arxiv_id":"2302.10493","last_updated":"2023-02-21T07:46:08Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T14:54:00.594534Z","submitted_at":"2023-02-21T07:46:08Z","title":"Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.10493."}