{"as_of":"2026-08-24T02:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de295cfa7850a51a906541d010748a61f88cf4e95d5bc67c7f6a5a6c8984f588","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":"2026-08-23T06:30:58.430688+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":"2026-08-16T10:58:06.353031Z","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":"2026-05-12T10:06:28.271356Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.09993","last_updated":"2023-12-15T18:06:22Z","snapshot_observed_at":"2026-08-19T20:17:35.011823Z","submitted_at":"2023-12-15T18:06:22Z","title":"LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.09993","snapshot_observed_at":"2026-08-16T10:58:06.353031Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2504.17025","last_updated":"2025-04-23T18:12:27Z","snapshot_observed_at":"2026-08-22T13:38:39.788629Z","submitted_at":"2025-04-23T18:12:27Z","title":"Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T10:58:06.353031Z"},"links":{"cited_paper":"/paper/2312.09993","citing_paper":"/paper/2504.17025"},"observation_digest":"sha256:c62c03f7cf90786b6e67c9c25eb7c50b93280d099189814aca1343f110d79062","observation_id":"7072269f-6fcb-4cf1-b5dd-eed07d41d945","resolution":{"observed_at":"2026-08-16T10:58:06.353031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.09993","last_updated":"2023-12-15T18:06:22Z","snapshot_observed_at":"2026-08-19T20:17:35.011823Z","submitted_at":"2023-12-15T18:06:22Z","title":"LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language","version":1},"cited_work":{"arxiv_id":"2312.09993","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.09993","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Musacchio, E","venue":null,"work_id":"bd7a54c7-487a-467e-b00a-5bdf8010db03","year":2023},"citing_paper":{"arxiv_id":"2604.27673","last_updated":"2026-04-30T10:07:46Z","snapshot_observed_at":"2026-08-13T20:46:08.212699Z","submitted_at":"2026-04-30T10:07:46Z","title":"The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-07T07:58:44.632993Z"},"links":{"cited_paper":"/paper/2312.09993","citing_paper":"/paper/2604.27673"},"observation_digest":"sha256:4ed5a374857606a09668e6a340b41425b3df7de75e4f3507b5337bb99414ce5d","observation_id":"ad4ade64-0e61-4e42-8a86-2773e97845a1","resolution":{"observed_at":"2026-05-12T10:06:28.273041Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2312.09993/citation-record","integrity":"/paper/2312.09993/integrity","json":"/paper/2312.09993/citation-record.json","paper":"/paper/2312.09993"},"outbound":[],"paper":{"arxiv_id":"2312.09993","last_updated":"2023-12-15T18:06:22Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T20:17:35.011823Z","submitted_at":"2023-12-15T18:06:22Z","title":"LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.09993."}