Paper Citation Record · LEDGER

Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2408.11878.

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

pith.paper-citation-record.v1
2408.11878 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:28:15.840032Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T20:38:55.674742Z

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 e14fc1bb-aacd-4ba5-b430-0c3619ee219a · inbound

TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction cites this paper.

TabReason: A Reinforcement Learning-Enhanced Reasoning LLM for Explainable Tabular Data Prediction Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:15.840032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02625e68-6f25-4f37-9928-691d54d6beed · inbound

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy cites this paper.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.686526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b69c14-578a-457c-817a-4a520f3c1972 · inbound

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model cites this paper.

RKEFino1: A Regulation Knowledge-Enhanced Large Language Model Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:15.024347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ca4f26-12eb-4695-9c04-25226168482b · 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 Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T14:59:37.052461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c3ebebd-f61a-4098-8841-8ac0b011db7d · inbound

Hyperbolic Concept Bottleneck Models cites this paper.

Hyperbolic Concept Bottleneck Models Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:18.765113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ea50b7b-3380-45f9-b153-da1103643eb8 · inbound

Hyperbolic Concept Bottleneck Models cites this paper.

Hyperbolic Concept Bottleneck Models Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:37:26.977726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e847c3f0-dbed-4cf0-8e34-69b9396c5fc7 · inbound

Herculean: An Agentic Benchmark for Financial Intelligence cites this paper.

Herculean: An Agentic Benchmark for Financial Intelligence Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:15:04.660949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3a761cd-b2f0-454e-9f29-78dc16419fc3 · inbound

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems cites this paper.

Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:25.670985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e4c6079-35c2-4dfc-ba86-e29738695892 · inbound

FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness cites this paper.

FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:38:55.676185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02e9ded6-7e7d-418b-985d-09f7252bcb02 · inbound

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering cites this paper.

FinSAgent: Corpus-Aligned Multi-Agent RAG Framework for Evidence-Grounded SEC Filing Question Answering Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T16:10:06.381252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.