{"as_of":"2026-08-19T18:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:562d37f2b3c4b4fc3b4add29ab688f3e3ae5a73d7e3ee0a251acbc6a65ccf695","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":"2026-08-15T22:00:53.271382Z","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":"2026-08-15T22:00:55.833482Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2301.02057","last_updated":"2023-03-28T14:57:59Z","snapshot_observed_at":"2026-08-16T16:04:15.104083Z","submitted_at":"2023-01-05T13:19:17Z","title":"TextDescriptives: A Python package for calculating a large variety of metrics from text","version":3},"cited_work":{"arxiv_id":"2301.02057","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.02057","snapshot_observed_at":"2026-08-15T22:00:55.833482Z","title":"TextDescriptives: A Python package for calculating a large variety of metrics from text","venue":"cs.CL","work_id":"a18960b5-f18d-495e-bf80-e2e26e512167","year":2023},"citing_paper":{"arxiv_id":"2505.08351","last_updated":"2025-06-07T15:30:53Z","snapshot_observed_at":"2026-08-15T21:54:45.224666Z","submitted_at":"2025-05-13T08:50:57Z","title":"Alignment Drift in CEFR-prompted LLMs for Interactive Spanish Tutoring","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-15T22:00:53.271382Z"},"links":{"cited_paper":"/paper/2301.02057","citing_paper":"/paper/2505.08351"},"observation_digest":"sha256:4e213cc559435441c4fc6e2d01e8b6b98f9172aaa9a61ca720969672b5b92729","observation_id":"0cf8ccc4-4c63-4800-aafd-12b5718ddc14","resolution":{"observed_at":"2026-08-15T22:00:55.842058Z","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/2301.02057/citation-record","integrity":"/paper/2301.02057/integrity","json":"/paper/2301.02057/citation-record.json","paper":"/paper/2301.02057"},"outbound":[],"paper":{"arxiv_id":"2301.02057","last_updated":"2023-03-28T14:57:59Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T16:04:15.104083Z","submitted_at":"2023-01-05T13:19:17Z","title":"TextDescriptives: A Python package for calculating a large variety of metrics from text"},"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:2301.02057."}