Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:53:37.628619Z
Paper Citation Record · LEDGER
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction
As of 17 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2508.02890.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact0
- verified fuzzy23
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eacd1369-8811-4dcd-9407-3544730b7617 · outbound
This paper cites A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction A survey on large language model (LLM) security and privacy: The good, the bad, and the ugly,
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:34.894169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67d1f37a-008c-42ba-b9c5-debfddbbffd3 · outbound
This paper cites Visual in-context learning for large vision-language models,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Visual in-context learning for large vision-language models,
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:34.986182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0962754c-97cf-4730-b35d-56094bab93e2 · outbound
This paper cites Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Rethinking Visual Dependency in Long-Context Reasoning for Large Vision-Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:35.120481Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cd8ca6d-60f0-4e0d-b59e-1ceb8e04ed31 · outbound
This paper cites Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:35.196450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a48374c-605f-402b-b0db-dd7b6f8c2224 · outbound
This paper cites COVID-19 detection in chest x-ray images using swin-transformer and transformer in transformer,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction COVID-19 detection in chest x-ray images using swin-transformer and transformer in transformer,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:41.530111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b4fd9af-f854-4bd5-94be-b70a285af3c1 · outbound
This paper cites VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:35.394791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de0e6c6d-196f-41f6-aa53-35a691c99a37 · outbound
This paper cites Video-llava: Learning united visual representation by alignment before projection,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Video-llava: Learning united visual representation by alignment before projection,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:41.380749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 88c032e3-ca13-4403-b252-b3389c4eb7f7 · outbound
This paper cites Imagenet: A large-scale hierarchical image database,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Imagenet: A large-scale hierarchical image database,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:35.663480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e874e69-2cb8-41cb-ab70-51f0da3545d7 · outbound
This paper cites Microsoft COCO: common objects in context,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Microsoft COCO: common objects in context,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:41.056036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d3527ab6-69f5-41b4-8ea9-d2a5892f8941 · outbound
This paper cites The open images dataset V4: unified image classification, object detection, and visual relationship detection at scale,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction The open images dataset V4: unified image classification, object detection, and visual relationship detection at scale,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.924173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ed814613-5818-414f-8dc3-01fb428d10bc · outbound
This paper cites A comprehensive survey and guide to multimodal large language models in vision-language tasks,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction A comprehensive survey and guide to multimodal large language models in vision-language tasks,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.761105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2f090265-cc99-4813-873d-a288cb0f037b · outbound
This paper cites Foundational models defining a new era in vision: A survey and outlook,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Foundational models defining a new era in vision: A survey and outlook,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.613474Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7df7c4f8-10e2-4c8d-9c6e-b4b1bbf24111 · outbound
This paper cites Lmfusion: Adapting pretrained language models for multimodal generation,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Lmfusion: Adapting pretrained language models for multimodal generation,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.466056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 96dc4790-67af-47b5-8520-c34e922def86 · outbound
This paper cites Multi-modal generation via cross-modal in-context learn- ing,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Multi-modal generation via cross-modal in-context learn- ing,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.292168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43505e43-816e-43cf-8d63-0c3a2c3d29f2 · outbound
This paper cites Improving cross-modal alignment for text- guided image inpainting,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Improving cross-modal alignment for text- guided image inpainting,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:40.111178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c8f32f5-25d1-4cb1-bf8d-433aa69b0d48 · outbound
This paper cites Fine-grained distillation for long document retrieval,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Fine-grained distillation for long document retrieval,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.975428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eaf2c7e2-1e71-43ef-b43e-d69726e675b8 · outbound
This paper cites Towards robust ranker for text retrieval,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Towards robust ranker for text retrieval,
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:36.418581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 157f1484-fb01-4970-b7fb-ebe9fd6d1c6c · outbound
This paper cites SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:36.479833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c442728-c6d9-4b40-b4ba-5f6ba05ec8d5 · outbound
This paper cites Improving zero-shot cross-lingual transfer for multilingual question answering over knowledge graph,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Improving zero-shot cross-lingual transfer for multilingual question answering over knowledge graph,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.805684Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 15d4985d-36e9-49fe-b527-f69dcf189b0d · outbound
This paper cites Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:36.649064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35d856bd-9541-4a29-a7be-9bec52a82681 · outbound
This paper cites Grounding multimodal large language models to the world,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Grounding multimodal large language models to the world,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.665546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d25c2a3b-aec9-4e7a-8f5d-ce7211e50d19 · outbound
This paper cites Minigpt-4: Enhancing vision-language understanding with advanced large language models,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Minigpt-4: Enhancing vision-language understanding with advanced large language models,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.527048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2c0cf87d-4925-469f-8c93-220b39786aeb · outbound
This paper cites Personalizing multimodal large language models for image captioning: An experimental analysis,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Personalizing multimodal large language models for image captioning: An experimental analysis,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.374295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0a4e951c-3083-40e4-b0ed-14cf3a463498 · outbound
This paper cites Prompting AI art: An investigation into the creative skill of prompt engineering,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Prompting AI art: An investigation into the creative skill of prompt engineering,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.194005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5be41d56-15ec-4a8e-8b71-ebdecd01334d · outbound
This paper cites Crafting effective prompts: A guideline for successful image generation,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Crafting effective prompts: A guideline for successful image generation,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:39.051718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4da03b30-da04-492c-92d0-56dafddc885c · outbound
This paper cites Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Prompt engineering for chatgpt: a quick guide to techniques, tips, and best practices,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:38.862316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b0f82731-b673-48d1-8076-3bd13711f884 · outbound
This paper cites Automatic generation of multimedia teaching materials based on generative AI: taking tang poetry as an example,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Automatic generation of multimedia teaching materials based on generative AI: taking tang poetry as an example,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:38.707168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4b7686c2-fd57-44f0-8a0c-fdeda47ec520 · outbound
This paper cites STAR: boosting low-resource information extraction by structure-to- text data generation with large language models,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction STAR: boosting low-resource information extraction by structure-to- text data generation with large language models,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:38.527884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 501bffed-3bc6-43bb-b02f-37ee09846a26 · outbound
This paper cites Knowgpt: Knowledge graph based prompting for large language models,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Knowgpt: Knowledge graph based prompting for large language models,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:38.353597Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 12028a21-3dbe-4017-930c-a6ebd22d8b7f · outbound
This paper cites Prompt-based length controlled generation with multiple control types,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Prompt-based length controlled generation with multiple control types,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:38.120165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 60015dd5-5ff8-4881-a4a5-363548c3badb · outbound
This paper cites Weak to strong generalization for large language models with multi-capabilities,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Weak to strong generalization for large language models with multi-capabilities,
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:53:37.522270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22b31d61-1b61-4853-ae7a-8350d205eb85 · outbound
This paper cites Prompting creativity: Tiered approach to copyright protection for ai-generated content in the digital age,.
VisuCraft: Enhancing Large Vision-Language Models for Complex Visual-Guided Creative Content Generation via Structured Information Extraction Prompting creativity: Tiered approach to copyright protection for ai-generated content in the digital age,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:37.911106Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1ba425d5-e40a-462b-99a1-f7f7ed80204e · outbound
This paper cites 5971–5984.
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T04:53:41.232114Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.