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Paper Citation Record · LEDGER

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2411.03314.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.03314 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:00:26.716423Z

measured 0 of 1 external citation measurements

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 da871ada-9c7d-411d-80a4-449b2539dda7 · inbound

FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning cites this paper.

FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T14:00:26.716423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:00:26.716423Z digest=sha256:1772bb0d6ca5c141b7c55402dd807f4bcff7757aec94556b6e3f6b2c48b115dc

Observation 5505cf1a-0d08-4870-bca4-566f3218cabc · inbound

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink cites this paper.

Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T14:29:27.939969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:29:27.939969Z digest=sha256:954b8320e4889fe10b4cf595e378b9080f5b025708db45a605073ffa296f2275

Observation 993725e5-dbc7-4303-a747-b11dface369a · inbound

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning cites this paper.

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:17.078428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:17.078428Z digest=sha256:8c1d338486d60f758bd1b528460ecd0a916824f6cd939bc79231db0e628cca22

Observation 58bbf78a-9247-41ef-8415-eae21085b3df · inbound

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain cites this paper.

FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:51:49.208591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:51:49.208591Z digest=sha256:47b71a521d29ee10b1bdb1222a89fd97c5e7a8c5f189b67a5303aa031c0f1aa0

Observation c2de8741-0ef5-443b-aa22-0d47aaaafa92 · inbound

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation cites this paper.

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:31.447032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:31.447032Z digest=sha256:316cb884aab68bb8c527e5788071e59d03e5e47f1c133c82f4eb3cc2caf7458a

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.

source=pdf_text observed=2026-08-07T00:40:51.365262Z digest=sha256:be9346ba5c35501d0f0b107f1b725407fc6c451c1c59986ab76d0c2a96baa775

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.

source=pdf_text observed=2026-08-07T00:40:43.360182Z digest=sha256:f2b31d193d441d91217d4f1edb6b9b291f7b2d3aa539e3cd76b726da2b7658c8

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.

source=arxiv_source observed=2026-08-06T14:59:36.703982Z digest=sha256:8eb9368ce69e01b10f0ebe21e99d07f1f448f101e15122feea8b2c563965728e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-10T17:07:09.330134Z digest=sha256:de5e5fd59a32246a5e0999af87b94f2c107044fcf9b722633375f32d0cef7637

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-26T17:35:04.470382Z digest=sha256:6e93a8438b15c5c90acd2fd96571129b961c603026959755d6134f259fba0bef

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.

source=pdf_text observed=2026-08-01T23:29:51.916090Z digest=sha256:ab3f869965a77f43b1d96cf6ea67ec568bd1f38a20b80448ecb47f58a71d30d9

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.

source=arxiv_source observed=2026-08-03T00:48:05.574995Z digest=sha256:d01d3181cc1a7b52fe49ec6512c39cca69c0393c354da348fad9c84a34c41d0e