{"as_of":"2026-08-10T11:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:52342e6f2753a2f4540c79ab6514cbf6748e84d5fd0f4831f108163acb9554be","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":"2026-08-10T06:31:04.303077+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":"2026-08-09T05:17:23.851671Z","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":"2026-08-09T05:17:23.954219Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.05623","last_updated":"2024-05-24T19:46:14Z","snapshot_observed_at":"2026-08-10T07:01:49.159013Z","submitted_at":"2024-04-08T15:53:46Z","title":"AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets","version":2},"cited_work":{"arxiv_id":"2404.05623","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.05623","snapshot_observed_at":"2026-08-09T05:17:23.954219Z","title":"AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets","venue":"cs.LG","work_id":"02a97375-0da3-4e8d-b286-70beb6957fb2","year":2024},"citing_paper":{"arxiv_id":"2502.03292","last_updated":"2025-02-05T15:49:41Z","snapshot_observed_at":"2026-08-09T17:30:06.742918Z","submitted_at":"2025-02-05T15:49:41Z","title":"ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-09T05:17:23.851671Z"},"links":{"cited_paper":"/paper/2404.05623","citing_paper":"/paper/2502.03292"},"observation_digest":"sha256:a537b79c28b857b133cb328471d31788bd235c0b5ee1bd4e42460c0ea8cfe5d2","observation_id":"b65d420a-11bd-4f70-adcc-6332c1af8984","resolution":{"observed_at":"2026-08-09T05:17:23.961561Z","resolver_source":"local_arxiv","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/2404.05623/citation-record","integrity":"/paper/2404.05623/integrity","json":"/paper/2404.05623/citation-record.json","paper":"/paper/2404.05623"},"outbound":[],"paper":{"arxiv_id":"2404.05623","last_updated":"2024-05-24T19:46:14Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T07:01:49.159013Z","submitted_at":"2024-04-08T15:53:46Z","title":"AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets"},"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 1 inbound Pith citation observation for arXiv:2404.05623."}