{"as_of":"2026-08-20T06:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5a375a0c8ced1871d49b02eed310fffc3f8d4dc63e83945a6fae19c8f58757cb","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":"2026-08-15T18:41:13.799661Z","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":"2026-08-15T18:41:14.495652Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.13638","last_updated":"2025-07-06T14:59:46Z","snapshot_observed_at":"2026-08-16T14:08:00.319035Z","submitted_at":"2024-03-20T14:41:01Z","title":"Pretraining Language Models Using Translationese","version":3},"cited_work":{"arxiv_id":"2403.13638","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.13638","snapshot_observed_at":"2026-08-15T18:41:14.495652Z","title":"Pretraining Language Models Using Translationese","venue":"cs.CL","work_id":"4682e259-b302-4751-b985-836dda30fc19","year":2024},"citing_paper":{"arxiv_id":"2506.19187","last_updated":"2025-06-23T23:22:11Z","snapshot_observed_at":"2026-08-18T01:10:47.173876Z","submitted_at":"2025-06-23T23:22:11Z","title":"Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-15T18:41:13.799661Z"},"links":{"cited_paper":"/paper/2403.13638","citing_paper":"/paper/2506.19187"},"observation_digest":"sha256:5ca6b6bc3da2c6038bd2e95143a148952135799c235fa9542fcb8527cb43ae95","observation_id":"74bbeb47-286e-4a48-b1c8-b6d1008439e9","resolution":{"observed_at":"2026-08-15T18:41:14.499419Z","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/2403.13638/citation-record","integrity":"/paper/2403.13638/integrity","json":"/paper/2403.13638/citation-record.json","paper":"/paper/2403.13638"},"outbound":[],"paper":{"arxiv_id":"2403.13638","last_updated":"2025-07-06T14:59:46Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:08:00.319035Z","submitted_at":"2024-03-20T14:41:01Z","title":"Pretraining Language Models Using Translationese"},"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 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2403.13638."}