{"as_of":"2026-08-19T06:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ad3a77da4ca977ceb3dd002acfa58f34f806face8c4c960299b2352715c4f81","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":"2026-08-16T05:06:42.202042Z","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":"2026-08-16T05:06:42.243553Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.19735","last_updated":"2024-09-29T15:20:37Z","snapshot_observed_at":"2026-08-18T19:34:09.008230Z","submitted_at":"2024-09-29T15:20:37Z","title":"Scrambled text: training Language Models to correct OCR errors using synthetic data","version":1},"cited_work":{"arxiv_id":"2409.19735","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.19735","snapshot_observed_at":"2026-08-16T05:06:42.243553Z","title":"Scrambled text: training Language Models to correct OCR errors using synthetic data","venue":"cs.CL","work_id":"aa8e1cd3-abc5-47ff-81ef-c6758dc3d02d","year":2024},"citing_paper":{"arxiv_id":"2505.00746","last_updated":"2025-05-06T03:09:13Z","snapshot_observed_at":"2026-08-16T05:00:53.137172Z","submitted_at":"2025-04-30T09:05:49Z","title":"Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon Analysis","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T05:06:42.202042Z"},"links":{"cited_paper":"/paper/2409.19735","citing_paper":"/paper/2505.00746"},"observation_digest":"sha256:77c9a2268f1995762f4cc9cce4b0c518e5f6c3cbfecc17f60ab3994b325c3cfb","observation_id":"818f19c4-d3a6-4689-aac4-901a0ecee711","resolution":{"observed_at":"2026-08-16T05:06:42.251251Z","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/2409.19735/citation-record","integrity":"/paper/2409.19735/integrity","json":"/paper/2409.19735/citation-record.json","paper":"/paper/2409.19735"},"outbound":[],"paper":{"arxiv_id":"2409.19735","last_updated":"2024-09-29T15:20:37Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T19:34:09.008230Z","submitted_at":"2024-09-29T15:20:37Z","title":"Scrambled text: training Language Models to correct OCR errors using synthetic data"},"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:2409.19735."}