{"as_of":"2026-08-19T14:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d1dc169b170598134a3f4751fd61f85fd3023c6f6474f705d1947d6644ee7e78","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T10:07:44.385804Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-16T10:07:44.898797Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.04001","last_updated":"2022-12-07T23:21:36Z","snapshot_observed_at":"2026-08-19T08:32:47.018963Z","submitted_at":"2022-12-07T23:21:36Z","title":"TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data","version":1},"cited_work":{"arxiv_id":"2212.04001","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.04001","snapshot_observed_at":"2026-08-16T10:07:44.898797Z","title":"TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data","venue":"cs.CL","work_id":"269d2249-3d2f-4389-b5a6-ba1db0f7ec6f","year":2022},"citing_paper":{"arxiv_id":"2504.19066","last_updated":"2025-04-27T01:15:14Z","snapshot_observed_at":"2026-08-16T10:00:07.990196Z","submitted_at":"2025-04-27T01:15:14Z","title":"ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T10:07:44.385804Z"},"links":{"cited_paper":"/paper/2212.04001","citing_paper":"/paper/2504.19066"},"observation_digest":"sha256:a9340aa60f73d3a5bfffae7031648ff2c4938530c33c4903e271dd59f36a9294","observation_id":"9edcc6aa-b2b9-4932-87a5-e5e5813d6afc","resolution":{"observed_at":"2026-08-16T10:07:44.903686Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.04001/citation-record","integrity":"/paper/2212.04001/integrity","json":"/paper/2212.04001/citation-record.json","paper":"/paper/2212.04001"},"outbound":[],"paper":{"arxiv_id":"2212.04001","last_updated":"2022-12-07T23:21:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T08:32:47.018963Z","submitted_at":"2022-12-07T23:21:36Z","title":"TweetDrought: A Deep-Learning Drought Impacts Recognizer based on Twitter Data"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.04001."}