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Paper Citation Record · LEDGER

A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2406.11903.

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

pith.paper-citation-record.v1
2406.11903 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:33:52.423594Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

29
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ef99a386-9e0a-42c8-bbef-181250cfa83a · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 46

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source=pdf_text observed=2026-08-10T05:33:52.423594Z digest=sha256:4aec8a10816676a05331219496d8195a639069019c03a19be9785e2c31e5381b

Observation 514ea4b3-d6f8-4b99-aedf-a7cc080ced76 · inbound

Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization cites this paper.

Decision-informed Neural Networks with Large Language Model Integration for Portfolio Optimization A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 2023

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no resolver link, observed 2026-08-09T17:38:20.819009Z

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source=pdf_text observed=2026-08-09T17:38:20.819009Z digest=sha256:f12155dca17e7124e5ff9c1d9982c6cce74a1f1698d40c41df7cbed3c9f5244c

Observation 6f08b3dc-b30c-4580-bb4b-7d3456cb6f78 · inbound

FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024 cites this paper.

FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024 A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 8

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source=pdf_text observed=2026-08-09T13:48:49.990807Z digest=sha256:36cece22700aa16c631aae303d3a8d5a5e6c5e3e4b618ff9cbc0419d5decbd64

Observation 6a3ff08b-026d-45c5-96df-5358a2b402f0 · inbound

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.

Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 42

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no resolver link, observed 2026-08-08T19:23:59.916735Z

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source=pdf_text observed=2026-08-08T19:23:59.916735Z digest=sha256:7c7a2cd356e0bf0ce53c91526b8a506cc5747023bcb194ec50067b25f13be349

Observation 8be07f49-01db-4115-9185-6214c7097da0 · inbound

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data cites this paper.

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 11

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no resolver link, observed 2026-08-07T22:26:41.569064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:26:41.569064Z digest=sha256:cb301d3b38013a7d80c7d179d93c4f41542b32b50f9a2a2c3c4f408d9440e2ee

Observation 90d22cd7-40a2-4133-8ab9-4d5c3b25f15b · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 42

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arxiv_id, observed 2026-05-23T03:32:28.576102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:de46d6101e032c847eaade31402c98b8ddb9ff6243dc530b8c3c5549566b5643

Observation 7e0d1b5d-01fc-48e5-916f-f7931444ed14 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 65

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arxiv_id, observed 2026-05-23T01:37:22.307058Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:5d87ee93c4ea6de4a943a2cc8b0b51b793f71d7b954e14366d8e2826def069fb

Observation c31178aa-09bb-43bc-969f-da79955a424c · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 69

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arxiv_id, observed 2026-05-23T01:12:20.795718Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T01:08:58.528533Z digest=sha256:5e397186843516d662b4003f2c5628e042f4e0003955eba0966e80f0e538f047

Observation 6a64b0c1-ff13-4447-af30-9cc9c028ee32 · inbound

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

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 11

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no resolver link, observed 2026-08-07T10:58:09.470136Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.470136Z digest=sha256:29518b14497114e406a46f94435236068aa8631e58f7bff7de6c3933c034f30c

Observation c2c584e2-13d9-48e6-9534-066de14d56f3 · inbound

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics cites this paper.

Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 18

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no resolver link, observed 2026-08-06T22:18:18.824699Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:18:18.824699Z digest=sha256:cf6499a59980bd030f3d52122e4cda3dc2041845f50dce40ffd7cdd6e8701f65

Observation 2fbfc671-1628-4df9-86f3-aac6645d56a4 · inbound

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation cites this paper.

AI Analyst: Framework and Comprehensive Evaluation of Large Language Models for Financial Time Series Report Generation A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 15

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no resolver link, observed 2026-08-06T21:15:09.928854Z

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source=pdf_text observed=2026-08-06T21:15:09.928854Z digest=sha256:6de61fc25f0053ece1649f135adbd38d69069a30032da3b04dcf35685b50bb7c

Observation e042c6af-2ceb-4c2c-a749-2704a8cc8f25 · inbound

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models cites this paper.

MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting Models A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 19

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no resolver link, observed 2026-08-06T19:08:14.623585Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:08:14.623585Z digest=sha256:333db3f3ae991bc3fc45040f5b7dd1b11c0156d05965e983a7f800a6d253d812

Observation 9ff93dc3-0569-4708-8f88-96862dabf4c3 · inbound

What Factors Affect LLMs and RLLMs in Financial Question Answering? cites this paper.

What Factors Affect LLMs and RLLMs in Financial Question Answering? A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 10

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arxiv_id, observed 2026-05-19T05:07:04.493749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T05:06:43.406540Z digest=sha256:3a2a8be386a98d9861886a5a455eec550e83af2f438763eaa0471350938bea19

Observation e4d65636-b0e3-4001-be6c-9c45161c2652 · inbound

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions cites this paper.

To Trade or Not to Trade: An Agentic Approach to Estimating Market Risk Improves Trading Decisions A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 8

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source=pdf_text observed=2026-08-06T18:22:15.785049Z digest=sha256:63f4e69f02d4fd3b2246229e1b586ecedc4c0a497f7970a322504ebcebbd1af2

Observation 7d98da38-85c2-413f-a666-44a8741477e1 · inbound

THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics cites this paper.

THEME: Enhancing Thematic Investing with Semantic Stock Representations and Temporal Dynamics A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 15

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no resolver link, observed 2026-08-05T17:13:10.936801Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:13:10.936801Z digest=sha256:d28bdb710dbf4af2c82deb2fb382e87fdb091b4131766b359a637082db2ff38d

Observation e932547e-b65c-4c76-953c-4609957e953b · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 107

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no resolver link, observed 2026-08-05T04:50:31.880429Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:31.880429Z digest=sha256:43f71da101c7f7c06b41cdc3afa45ef87d02ffa3ab0a404ca975a0ead16345b3

Observation 6063ef95-90d7-4598-a097-9b9e850e5e19 · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 42

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arxiv_id, observed 2026-05-18T17:42:46.491430Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T17:42:34.395450Z digest=sha256:46e000e540351cdf479491656421fa1886bd06d5899ca8cbb25b75b230212cf2

Observation 0dd92c5a-b9d2-4a2e-b42f-0f232b71128e · inbound

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) cites this paper.

MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025) A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 42

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no resolver link, observed 2026-08-04T18:57:21.750440Z

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source=arxiv_source observed=2026-08-04T18:57:21.750440Z digest=sha256:f66e2a185eb596b2b20bdc676cbad64ec26016b82769c28c9cad54e972d32e03

Observation b0cdba8f-16de-4d85-960c-1b1d3be2498d · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 27

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arxiv_id, observed 2026-05-18T17:51:41.929413Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T17:49:42.112564Z digest=sha256:586aefd1ddb440750a6e3b890a5805e2759a737cdb0555a29173c34e321fe4e4

Observation 03bb1640-6a87-490f-b382-e1b012b3db39 · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 69

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arxiv_id, observed 2026-05-13T22:08:20.856464Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5e3cd49d-34e2-4c4e-98ae-342910d1beff · inbound

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA cites this paper.

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 18

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arxiv_id, observed 2026-05-10T23:00:49.490100Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:25:26.811390Z digest=sha256:b963d3030de7269d091993eb79c0047ff8fbbebf400bd2d1ae7455e3c971a6a7

Observation 73c56704-9932-4a53-9e33-80441264400e · inbound

SoK: Security of Autonomous LLM Agents in Agentic Commerce cites this paper.

SoK: Security of Autonomous LLM Agents in Agentic Commerce A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 7

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arxiv_id, observed 2026-05-10T14:00:29.314541Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T13:55:48.290563Z digest=sha256:153b2087ff5fa5cebb858798abbf2be0425b5d6ed7139f1bcc0f92d2eff82c6c

Observation 62558fc0-98a4-4803-a827-7585f2b60a9c · inbound

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection cites this paper.

ComplianceNLP: Knowledge-Graph-Augmented RAG for Multi-Framework Regulatory Gap Detection A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 4

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arxiv_id, observed 2026-05-11T21:16:12.095606Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T06:17:03.951243Z digest=sha256:da8b1b24c322916a5e5b8979edeee86e77330f1ea895442a163551c444a22476

Observation 19b186f1-6b2d-4f9a-a3df-d4cd5e726888 · inbound

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models cites this paper.

Replacing Parameters with Preferences: Federated Alignment of Heterogeneous Vision-Language Models A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 46

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arxiv_id, observed 2026-05-12T10:41:30.789831Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-07T04:07:58.031100Z digest=sha256:18aae44983b3dfbb5489560ff51455acad0568112a0bc77d6b9a8b259880c970

Observation 34729f9d-f863-409c-8c30-abbc3a469130 · inbound

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective cites this paper.

A Review of Large Language Models for Stock Price Forecasting from a Hedge-Fund Perspective A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 3

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arxiv_id, observed 2026-05-11T07:35:59.165961Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:05:40.178716Z digest=sha256:f3ff177a629a6c0393449c99493fcbb7fc387294932d15ccbe141e74865bfaa7

Observation 97985626-97b5-4d4a-bb38-d7170c918ea1 · inbound

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration cites this paper.

MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 1

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arxiv_id, observed 2026-06-30T12:34:38.901478Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T12:27:46.629948Z digest=sha256:ffe59d147e8e739d19e0a665f08274f1fb2f0797868da6d18082b3c5311294d7

Observation 5dc68d29-41c0-4237-ac37-d180e2c98126 · inbound

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA cites this paper.

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 19

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arxiv_id, observed 2026-07-01T20:26:12.591239Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T21:12:34.957683Z digest=sha256:42f4a46b5ef58bc864e10613cc6e8711559128b27d4e57b9df0550303bbbe8f8

Observation f08001ce-30d1-454b-bd56-88d64a7fd805 · inbound

Beyond Single-Policy: Evaluating Composed Organization-Specific Policy Alignment in LLM Chatbots cites this paper.

Beyond Single-Policy: Evaluating Composed Organization-Specific Policy Alignment in LLM Chatbots A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 45

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arxiv_id, observed 2026-06-28T05:41:40.127955Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T05:41:16.033862Z digest=sha256:6a187c39bf2c031abd515aa19aecb1c1df97162de2c95371bd4fee2c6e48bfae

Observation 31074981-4008-4f95-b666-258f7c4d7218 · inbound

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition cites this paper.

YouZhi: Towards High-Concurrency Financial LLMs via Adaptive GQA-to-MLA Transition A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 14

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arxiv_id, observed 2026-07-02T13:06:59.436765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T01:33:54.383507Z digest=sha256:e1140bd0d805f9faa03f4047d27bead72c49f9cf59e85eca896dd22acfdbefb7

Observation 7081d416-1adc-4091-a464-f26a8b8a90a6 · inbound

AuditFraudBench: Benchmarking Audit Judgment in Detecting Fraudulent Misstatements cites this paper.

AuditFraudBench: Benchmarking Audit Judgment in Detecting Fraudulent Misstatements A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 27

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arxiv_id, observed 2026-07-02T22:27:26.526371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T18:49:29.981126Z digest=sha256:a64bc37199850b797b1dec4601e6b744d1d138b5587c3a3114f2c3171a07f462

Observation 5f4563db-ff72-4531-b759-90e7ca482e38 · inbound

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning cites this paper.

Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 14

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arxiv_id, observed 2026-07-03T20:28:55.341699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T01:22:20.045120Z digest=sha256:66d48345d389d55a8e9654432518502a0e56d63e92a678efa3a3ad6195a005e1

Observation e21e26e1-db2e-46f3-8fe1-ba5d2261cde1 · inbound

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

FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 20

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arxiv_id, observed 2026-07-03T20:38:55.681783Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T01:15:05.833593Z digest=sha256:9b9ca009e454cffbed17865f8730a1f71b6cf9674e235c3868b1a48b59981a60

Observation 4293981b-c2f7-48ab-b4aa-e9f63790d268 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 172

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arxiv_id, observed 2026-07-04T08:49:41.399851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T11:06:28.690956Z digest=sha256:cd0eea50b390215ba7488cc4e063fd300fcb994f924646a6a9cc3bb843f675ff

Observation a92fa00b-7ca6-4d63-9fc4-202f489bf64c · inbound

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning cites this paper.

CLExEval: A Human-in-the-Loop Framework for Qualitative Evaluation of LLM Clinical Reasoning A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 110

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metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.581381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-01T05:33:52.027771Z digest=sha256:c4eb5edd5e537fcb3d77df51d97dda21820cd4c08f5dcad4d2ccce80730a81f7

Observation 2281b0f9-6e66-4684-8014-082172600429 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 29

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unresolved
no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:16:58.545731Z digest=sha256:b12f218a7dc521e58d964a09e56ff06ca64bb5cf1a051ac78f254c7679158830

Observation 4a8ba631-1d42-4a94-aac1-a0457c1a9e9a · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 212

Resolution
unresolved
no resolver link, observed 2026-07-11T23:16:58.545731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:16:58.545731Z digest=sha256:5673dd2ae57a2a06eebf6d9f69717ace59c81c94a9b7ae806af9cd40abb8bb98

Observation 82da3888-614f-41fe-a755-b7dc26ec7625 · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-13T07:02:13.140334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T07:02:13.140334Z digest=sha256:06e05925b97a010f111cb644a3e7505bed037791e8385996621ba7613f9c0a39

Observation b6df8a40-eacd-484f-8267-660b86aea85e · inbound

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language cites this paper.

Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 212

Resolution
unresolved
no resolver link, observed 2026-07-13T07:02:13.140334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T07:02:13.140334Z digest=sha256:ce8482e02c8a94b5d2ec808ab4da08f56e76785dd61d4e78b3d93924800f5a30

Observation 727c1587-17a9-4fe9-a08e-b23c6cc726e9 · inbound

Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control cites this paper.

Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T21:40:45.262610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T21:40:45.262610Z digest=sha256:94774c17379dbd54a08786b1c8e4ae1c6070595259c01aca5016b036cc0d8e76

Observation ef5ce454-4c5e-472b-a749-6cae313968da · inbound

Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control cites this paper.

Governing Generative AI Across Financial Institutions: A Framework for Generative AI Risk Control A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T08:43:19.575848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:43:19.575848Z digest=sha256:cb9e6d2d6f72bf2a0a38a4aebb3563fc90cb9a76cb0482b072063f49dea3880e

Observation 0f9e9f5e-ab05-4429-a94b-c183efd64797 · inbound

LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery cites this paper.

LLM-Enhanced Dynamic Financial Knowledge Graphs for Cross-Entity Signal Propagation and alpha discovery A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-14T08:13:38.894338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T08:13:38.894338Z digest=sha256:95a8283a05ef892b327a8dde95194c58200a9775dcaf60fec6071471b652952e

Observation b2d614eb-6d4f-4e35-b4e1-9e7ac0025eb5 · inbound

Confidently Wrong: Detecting Hallucinations in Financial Question Answering from LLM Internal States cites this paper.

Confidently Wrong: Detecting Hallucinations in Financial Question Answering from LLM Internal States A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-14T05:45:08.896651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:45:08.896651Z digest=sha256:e855704f209ac9d0763eb77eddca02eee4d794b738b72ab57323a347affcda21

Observation 826b5471-0d03-43f9-9d3d-ebab16e26b8c · inbound

From Information to Delegation: Mapping Human-AI Financial Decision Making cites this paper.

From Information to Delegation: Mapping Human-AI Financial Decision Making A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T15:13:45.713775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:13:45.713775Z digest=sha256:cead034d48757cd0ebcb5f1c7b7acb3f404275d4bf497fe86cc9b4b47eed83f4