{"as_of":"2026-08-13T21:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cc9be8add8b7b3086f4c0af813f7a70bffa2b7ca455b8eee08a0ef6bc1f30eb","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T18:44:39.875008Z","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":"2026-08-11T20:53:58.574222Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.17492","last_updated":"2024-01-12T14:18:03Z","snapshot_observed_at":"2026-08-13T05:14:40.455938Z","submitted_at":"2023-11-29T10:01:48Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17492","snapshot_observed_at":"2026-08-12T18:44:39.875008Z","title":"arXiv preprint arXiv:2311.17492 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.11295","last_updated":"2024-11-18T05:41:27Z","snapshot_observed_at":"2026-08-13T14:01:27.924813Z","submitted_at":"2024-11-18T05:41:27Z","title":"Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T18:44:39.875008Z"},"links":{"cited_paper":"/paper/2311.17492","citing_paper":"/paper/2411.11295"},"observation_digest":"sha256:8fa31d6a335d7887ff89843f258eadb772071d09fd7eb7c176be78af6d7f761f","observation_id":"421b4304-ddd9-49a9-8fe7-212ce41ab91b","resolution":{"observed_at":"2026-08-12T18:44:39.875008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17492","last_updated":"2024-01-12T14:18:03Z","snapshot_observed_at":"2026-08-13T05:14:40.455938Z","submitted_at":"2023-11-29T10:01:48Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data","version":2},"cited_work":{"arxiv_id":"2311.17492","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.17492","snapshot_observed_at":"2026-08-11T20:53:58.574222Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented Data","venue":"cs.CL","work_id":"f2ac27ed-bcbc-4504-bbe8-38806c27be29","year":2023},"citing_paper":{"arxiv_id":"2412.05184","last_updated":"2024-12-06T17:04:21Z","snapshot_observed_at":"2026-08-12T02:20:57.780726Z","submitted_at":"2024-12-06T17:04:21Z","title":"QueEn: A Large Language Model for Quechua-English Translation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:53:58.419942Z"},"links":{"cited_paper":"/paper/2311.17492","citing_paper":"/paper/2412.05184"},"observation_digest":"sha256:1436e40303a757171aebef3dee2646514309c48278114ba4459596a5eff7c047","observation_id":"d9ff7d74-5e7f-451c-b6b1-e56956dd6efd","resolution":{"observed_at":"2026-08-11T20:53:58.581273Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.17492/citation-record","integrity":"/paper/2311.17492/integrity","json":"/paper/2311.17492/citation-record.json","paper":"/paper/2311.17492"},"outbound":[],"paper":{"arxiv_id":"2311.17492","last_updated":"2024-01-12T14:18:03Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T05:14:40.455938Z","submitted_at":"2023-11-29T10:01:48Z","title":"Mergen: The First Manchu-Korean Machine Translation Model Trained on Augmented 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17492."}