Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.03314.
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, observed 2026-08-07T00:40:51.365262Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:49:30.822996Z
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 23e1543e-85c6-4b74-8a6d-fa817ef1e72e · inbound
CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model cites this paper.
CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:51.365262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe48979a-fed5-42de-a991-10c1c740e410 · inbound
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design cites this paper.
FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:40:43.360182Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bbc4b264-ae73-486d-9899-7d2037022673 · inbound
FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain cites this paper.
FinGAIA: A Chinese Benchmark for AI Agents in Real-World Financial Domain MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:59:36.703982Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d1cb9ef-1861-420b-b51a-0e979091d598 · inbound
Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation cites this paper.
Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination Mitigation MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:35:57.262505Z
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 1eb028f0-7de7-4863-8211-a453f2688c0e · inbound
AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA cites this paper.
AgentFinVQA: A Deployable Multi-Agent Pipeline for Auditable Financial Chart QA MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:49:30.824964Z
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 37e30df4-60b4-4cdd-862d-a2eea3a0bcd3 · inbound
AI Trading: Evaluating Large Language Models for Technical Market Analysis cites this paper.
AI Trading: Evaluating Large Language Models for Technical Market Analysis MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:29:51.916090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f3f33dcd-7c33-43b1-9545-80bb2a987664 · inbound
Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements cites this paper.
Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:48:05.574995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.