Paper Citation Record · LEDGER

X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.11399.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.11399 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:10:57.467030Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T05:14:28.191581Z

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 6ec5d160-7127-463e-835d-165b4db2e877 · inbound

Maya: An Instruction Finetuned Multilingual Multimodal Model cites this paper.

Maya: An Instruction Finetuned Multilingual Multimodal Model X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T19:10:57.467030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 290ebc3c-dc0d-46dd-a148-fee28f0b98db · inbound

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation cites this paper.

VLR-Bench: Multilingual Benchmark Dataset for Vision-Language Retrieval Augmented Generation X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:22:11.008783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d92e3df3-2f42-412a-80a4-51fc4808b07c · inbound

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective cites this paper.

Cross-Lingual Text-Rich Visual Comprehension: An Information Theory Perspective X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:14:28.200627Z

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.

Observation 19cd0887-5ae5-4e9e-a56a-e8cbeb8e2110 · inbound

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models cites this paper.

Parameter Efficient Multimodal Instruction Tuning for Romanian Vision Language Models X-LLaVA: Optimizing Bilingual Large Vision-Language Alignment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:07:31.968873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.