Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.06930.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:10:57.299117Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:29:31.311865Z
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 4969d9ba-52fa-4f25-aa75-88af86ba0734 · inbound
Maya: An Instruction Finetuned Multilingual Multimodal Model cites this paper.
Maya: An Instruction Finetuned Multilingual Multimodal Model mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:10:57.299117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d6d3166-20b1-43c9-ad06-3b9f14f4478f · inbound
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? cites this paper.
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:58:48.135855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 019a3240-4043-4ef5-aaca-13311095b9eb · 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 mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:22:38.800864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79cdcd6f-809e-4dff-86f9-95bc18a2cad8 · inbound
Grounding Multilingual Multimodal LLMs With Cultural Knowledge cites this paper.
Grounding Multilingual Multimodal LLMs With Cultural Knowledge mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:10:51.198684Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1746ddb5-2057-412c-a89f-6abd2ffe8693 · inbound
NRITYAM: Language Models Meet Art and Heritage of Dance cites this paper.
NRITYAM: Language Models Meet Art and Heritage of Dance mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:29:31.314349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.