{"as_of":"2026-08-19T04:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b64ebd69065c2eb955019459fca28f1bb0882e4ff7b8345c3b3381086097645","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T11:30:19.987531Z","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":"2026-08-16T11:30:20.687310Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.08039","last_updated":"2022-04-17T15:55:18Z","snapshot_observed_at":"2026-08-19T01:59:42.520251Z","submitted_at":"2022-04-17T15:55:18Z","title":"Pathologies of Pre-trained Language Models in Few-shot Fine-tuning","version":1},"cited_work":{"arxiv_id":"2204.08039","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.08039","snapshot_observed_at":"2026-08-16T11:30:20.687310Z","title":"Pathologies of Pre-trained Language Models in Few-shot Fine-tuning","venue":"cs.CL","work_id":"2d8fd8cb-3e8a-4117-b210-e11368e10b6c","year":2022},"citing_paper":{"arxiv_id":"2504.15432","last_updated":"2025-04-21T20:54:55Z","snapshot_observed_at":"2026-08-18T16:11:58.108500Z","submitted_at":"2025-04-21T20:54:55Z","title":"Feeding LLM Annotations to BERT Classifiers at Your Own Risk","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:30:19.987531Z"},"links":{"cited_paper":"/paper/2204.08039","citing_paper":"/paper/2504.15432"},"observation_digest":"sha256:b6b69f4d47a27daceaad7d762a25ec7f6c661aab87455dfd6a5439cf37103f35","observation_id":"5f82877a-28be-40ee-a905-823ef2862bc9","resolution":{"observed_at":"2026-08-16T11:30:20.692653Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2204.08039/citation-record","integrity":"/paper/2204.08039/integrity","json":"/paper/2204.08039/citation-record.json","paper":"/paper/2204.08039"},"outbound":[],"paper":{"arxiv_id":"2204.08039","last_updated":"2022-04-17T15:55:18Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T01:59:42.520251Z","submitted_at":"2022-04-17T15:55:18Z","title":"Pathologies of Pre-trained Language Models in Few-shot Fine-tuning"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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:2204.08039."}