{"as_of":"2026-08-20T10:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:093e814ffb9b2bdc75e4ccc5383bdc8a006a7ab8fd5fe248431d7048f671d343","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":"2026-08-20T06:33:59.587034+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":"2026-08-10T20:52:41.268874Z","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":"2026-08-10T20:52:41.405493Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2212.10735","last_updated":"2022-12-21T03:02:18Z","snapshot_observed_at":"2026-08-16T16:07:06.411156Z","submitted_at":"2022-12-21T03:02:18Z","title":"NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters","version":1},"cited_work":{"arxiv_id":"2212.10735","doi":null,"metadata_source":"pith","pith_arxiv_id":"2212.10735","snapshot_observed_at":"2026-08-10T20:52:41.405493Z","title":"NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters","venue":"cs.LG","work_id":"0b120b5f-86a9-4af0-aa28-86ddb139e6d4","year":2022},"citing_paper":{"arxiv_id":"2501.06932","last_updated":"2025-08-22T21:40:07Z","snapshot_observed_at":"2026-08-14T07:31:17.290917Z","submitted_at":"2025-01-12T21:00:50Z","title":"Harnessing Large Language Models for Disaster Management: A Survey","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:52:41.268874Z"},"links":{"cited_paper":"/paper/2212.10735","citing_paper":"/paper/2501.06932"},"observation_digest":"sha256:8ce5f71a77a6f24481d467e6144322ed73205f1d6a61036ad5a126d94700dad4","observation_id":"84123b8d-eae9-4581-b1a7-3914900c6658","resolution":{"observed_at":"2026-08-10T20:52:41.410632Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2212.10735/citation-record","integrity":"/paper/2212.10735/integrity","json":"/paper/2212.10735/citation-record.json","paper":"/paper/2212.10735"},"outbound":[],"paper":{"arxiv_id":"2212.10735","last_updated":"2022-12-21T03:02:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T16:07:06.411156Z","submitted_at":"2022-12-21T03:02:18Z","title":"NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.10735."}