Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.06354.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T21:54:37.016811Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:22:39.405873Z
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 5e2ebc39-5b71-4d81-81cd-d62150fe3f33 · inbound
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs cites this paper.
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:54:37.016811Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 966a3049-6654-41f8-9da2-84276a6e6832 · inbound
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention cites this paper.
CLAIM: Mitigating Multilingual Object Hallucination in Large Vision-Language Models with Cross-Lingual Attention Intervention Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:22:39.411479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.