{"as_of":"2026-08-09T06:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:049c10e17b5e5a6ba3c650d8c508a39ab3e62f2f32e07ebcf4422125e89b9c67","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T17:28:03.765553Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T08:02:25.058942Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.11294","last_updated":"2024-08-21T02:49:41Z","snapshot_observed_at":"2026-08-05T14:12:18.647534Z","submitted_at":"2024-08-21T02:49:41Z","title":"RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11294","snapshot_observed_at":"2026-08-06T17:28:03.765553Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.10920","last_updated":"2025-07-15T02:26:47Z","snapshot_observed_at":"2026-08-08T00:35:44.350932Z","submitted_at":"2025-07-15T02:26:47Z","title":"HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T17:28:03.765553Z"},"links":{"cited_paper":"/paper/2408.11294","citing_paper":"/paper/2507.10920"},"observation_digest":"sha256:b21fd5f7c894ca9c9d1d05c9b4ffdcb702bec340ee1a81f83a64b7a9dfaf1f87","observation_id":"b41c731b-0dd9-4f3e-ad15-71abd44be412","resolution":{"observed_at":"2026-08-06T17:28:03.765553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11294","last_updated":"2024-08-21T02:49:41Z","snapshot_observed_at":"2026-08-05T14:12:18.647534Z","submitted_at":"2024-08-21T02:49:41Z","title":"RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining","version":1},"cited_work":{"arxiv_id":"2408.11294","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2408.11294","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Qiang Wen and Ying Gao","venue":null,"work_id":"f3a6be0c-8c79-453e-a44b-88e41b4260b2","year":null},"citing_paper":{"arxiv_id":"2604.16235","last_updated":"2026-04-17T16:53:14Z","snapshot_observed_at":"2026-08-05T13:25:08.254604Z","submitted_at":"2026-04-17T16:53:14Z","title":"Optimizing Korean-Centric LLMs via Token Pruning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T07:59:57.505776Z"},"links":{"cited_paper":"/paper/2408.11294","citing_paper":"/paper/2604.16235"},"observation_digest":"sha256:7ddf94dcd18338c21e7795ccddcf41a80c2250a334be5c35cdcb57bf47f7c1dd","observation_id":"fda74fc0-cdde-4fbb-9063-3db4d008e91e","resolution":{"observed_at":"2026-05-10T08:02:25.060215Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11294","last_updated":"2024-08-21T02:49:41Z","snapshot_observed_at":"2026-08-05T14:12:18.647534Z","submitted_at":"2024-08-21T02:49:41Z","title":"RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11294","snapshot_observed_at":"2026-08-05T18:04:08.718342Z","title":"arXiv preprint arXiv:2408.11294 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03494","last_updated":"2026-08-04T11:32:10Z","snapshot_observed_at":"2026-08-08T14:58:35.522056Z","submitted_at":"2026-08-04T11:32:10Z","title":"Beyond Initialization Loss: A Systematic Study of Token Embedding Initialization Strategies for LLM Vocabulary Extension","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T18:04:08.718342Z"},"links":{"cited_paper":"/paper/2408.11294","citing_paper":"/paper/2608.03494"},"observation_digest":"sha256:6cbc45de5e92e04119f3054dbbb62172969b332dc2f9bb35cef3e545c51fae82","observation_id":"e16d83c3-8f87-4b95-a631-bb9bff1f1afb","resolution":{"observed_at":"2026-08-05T18:04:08.718342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2408.11294/citation-record","integrity":"/paper/2408.11294/integrity","json":"/paper/2408.11294/citation-record.json","paper":"/paper/2408.11294"},"outbound":[],"paper":{"arxiv_id":"2408.11294","last_updated":"2024-08-21T02:49:41Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T14:12:18.647534Z","submitted_at":"2024-08-21T02:49:41Z","title":"RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.11294."}