Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.09993.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:58:06.353031Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T10:06:28.271356Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7072269f-6fcb-4cf1-b5dd-eed07d41d945 · inbound
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation cites this paper.
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:58:06.353031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad4ade64-0e61-4e42-8a86-2773e97845a1 · inbound
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:06:28.273041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.