Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:28:38.338356Z
Paper Citation Record · LEDGER
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents
As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.07021.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact0
- verified fuzzy14
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 3f496f99-d99f-4d33-bbd2-9bf8471aabfe · outbound
This paper cites A semantic model of integrity constraints on a relational data base,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents A semantic model of integrity constraints on a relational data base,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:40.615861Z
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.
Observation 7e6ac4a7-1da5-4e4d-830e-48c6c60f7f09 · outbound
This paper cites Chatgpt for good? on opportunities and challenges of large language models for education,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Chatgpt for good? on opportunities and challenges of large language models for education,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:40.501158Z
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.
Observation b55d9604-c458-4fce-ac95-17c836c283e8 · outbound
This paper cites Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Lvlm-ehub: A comprehensive evaluation bench- mark for large vision-language models,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:40.379482Z
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.
Observation 9067c10e-7c86-4215-a87c-e4541db06fd3 · outbound
This paper cites Weak to strong generalization for large language models with multi-capabilities,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Weak to strong generalization for large language models with multi-capabilities,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:40.268520Z
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.
Observation 13c19543-af14-4bc3-b3f7-9c6546518aa4 · outbound
This paper cites Thread of Thought Unraveling Chaotic Contexts.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Thread of Thought Unraveling Chaotic Contexts
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:28:37.355969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a8a1c4f-c3f9-491e-8345-5bdb1b345e0b · outbound
This paper cites Visual in-context learning for large vision-language models,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Visual in-context learning for large vision-language models,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:40.114701Z
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.
Observation 4950c14e-ae3a-4857-a27d-880c3d4b6f9a · outbound
This paper cites Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:28:37.518286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc97759a-79a5-473e-a028-2395a32a1ddf · outbound
This paper cites Exploring ai-driven approaches for unstructured document analysis and future horizons,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Exploring ai-driven approaches for unstructured document analysis and future horizons,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.930269Z
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.
Observation ecce5bc0-4f36-4207-a8aa-9bb57edc425c · outbound
This paper cites Large language model enhanced multi-agent systems for 6g communications,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Large language model enhanced multi-agent systems for 6g communications,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.761906Z
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.
Observation daebe4f3-c61d-450d-9920-fbd3c9c72962 · outbound
This paper cites Multi-agent collaboration mechanisms: A survey of llms,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Multi-agent collaboration mechanisms: A survey of llms,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.625884Z
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.
Observation a51226ee-9c5e-44d4-bcd9-8a4efdecdded · outbound
This paper cites Transforming competition into collaboration: The rev- olutionary role of multi-agent systems and language models in modern organizations,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Transforming competition into collaboration: The rev- olutionary role of multi-agent systems and language models in modern organizations,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.492023Z
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.
Observation c5bbb376-d18f-42b6-9b30-875985e83313 · outbound
This paper cites Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:28:37.911045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8468154f-ead5-4b69-adc4-65101a167fd3 · outbound
This paper cites Layered chain-of-thought prompting for multi-agent LLM systems: A comprehensive approach to explainable large language models,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Layered chain-of-thought prompting for multi-agent LLM systems: A comprehensive approach to explainable large language models,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.352855Z
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.
Observation 14fa7b76-6329-49f7-afe8-12713045ee80 · outbound
This paper cites Au- tomatically correcting large language models: Surveying the landscape of diverse self-correction strategies,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Au- tomatically correcting large language models: Surveying the landscape of diverse self-correction strategies,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:39.153520Z
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.
Observation ce8aa9f9-114b-4e77-82f1-c7365b6bcd75 · outbound
This paper cites Benchmark evaluations, applications, and challenges of large vision language models: A survey,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Benchmark evaluations, applications, and challenges of large vision language models: A survey,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:38.980675Z
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.
Observation 4fa7a151-17f7-490b-830e-5088e4c8e51b · outbound
This paper cites Large language model based multi-agents: A survey of progress and challenges,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Large language model based multi-agents: A survey of progress and challenges,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:38.811613Z
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.
Observation 69f1e351-670a-4c2f-a8fd-de0d9d3fd292 · outbound
This paper cites Less is more: Vision representation compression for efficient video generation with large language models,.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents Less is more: Vision representation compression for efficient video generation with large language models,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:28:38.566217Z
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.
Observation 0d823e82-a3bf-456b-80df-1434b7022e4d · outbound
This paper cites MemoryMamba: Memory-Augmented State Space Model for Defect Recognition.
DocRefine: An Intelligent Framework for Scientific Document Understanding and Content Optimization based on Multimodal Large Model Agents MemoryMamba: Memory-Augmented State Space Model for Defect Recognition
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:28:38.338356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.