Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mitigating Multilingual Hallucination in Large Vision-Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.00550.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:38.866987Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:41:03.012199Z
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 8296c179-b6db-4f38-9365-587dd09589ed · 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 Mitigating Multilingual Hallucination in Large Vision-Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:38.866987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be88c1dd-3b18-402a-ab11-e3d3f04a5190 · inbound
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models cites this paper.
Language-Specific Layer Matters: Efficient Multilingual Enhancement for Large Vision-Language Models Mitigating Multilingual Hallucination in Large Vision-Language Models
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:30:12.626733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2e724c8-a978-4aec-ac97-9634080df089 · inbound
VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing cites this paper.
VCE: A zero-cost hallucination mitigation method of LVLMs via visual contrastive editing Mitigating Multilingual Hallucination in Large Vision-Language Models
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:41:03.018048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.