Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.11288.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:51:47.173316Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:29:57.575930Z
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 37945801-953c-4c50-92af-5f990f8ff8f5 · inbound
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking cites this paper.
RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:47.173316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3de96ab4-d8d9-4777-951a-ebc2f28f6501 · inbound
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking cites this paper.
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:05:38.770612Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18258dd7-2673-4e2f-bb92-20f648023354 · inbound
LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services cites this paper.
LocalSearchBench: Benchmarking Agentic Search in Real-World Local Life Services MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:00:21.978046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c404643e-7267-4b04-9266-42a6931e9ccd · inbound
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection cites this paper.
ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:29:57.577675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e8bc0b58-a247-4dbb-b0a1-06f31f929a02 · inbound
MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models cites this paper.
MMOOC: A Comprehensive Benchmark for Out-of-Context Evaluation in Multimodal Large Language Models MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:23:33.280141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.