Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.07750.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:53:04.939884Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T18:24:55.402733Z
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 6ba864a9-bf1d-4ce1-b278-b2937d6ac593 · inbound
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey cites this paper.
Multimodal Large Language Models for Image, Text, and Speech Data Augmentation: A Survey Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Reference 126
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:36:37.535244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f099f6a-0515-4613-a439-f37cb91ae3c0 · inbound
Vision-Language Model Dialog Games for Self-Improvement cites this paper.
Vision-Language Model Dialog Games for Self-Improvement Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:21:38.283921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 800043fb-8e38-4df4-baa3-8aec5c4a1828 · inbound
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance cites this paper.
LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:53:04.939884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d002c5df-03fe-4763-a28f-23eee2621d6b · inbound
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation cites this paper.
Advancing Multimodal LLMs by Large-Scale 3D Visual Instruction Dataset Generation Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T18:24:55.438877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fe936764-5bae-4536-aa89-35828de598f0 · inbound
Mining Contextualized Visual Associations from Images for Creativity Understanding cites this paper.
Mining Contextualized Visual Associations from Images for Creativity Understanding Synth$^2$: Boosting Visual-Language Models with Synthetic Captions and Image Embeddings
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:09:27.077293Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.