Paper Citation Record · LEDGER

Can Large Language Models Effectively Process and Execute Financial Trading Instructions?

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2412.04856.

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

pith.paper-citation-record.v1
2412.04856 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:16:05.175959Z

measured 39 of 39 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact2
verified fuzzy27
unresolved10
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee745b31-6faf-483f-870c-a1a66af72143 · outbound

This paper cites Wealth Guide: A Sophisticated Language Model Solution for Financial Trading Decisions.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Wealth Guide: A Sophisticated Language Model Solution for Financial Trading Decisions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.788453Z

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.

Observation 36e9e8f6-3af6-4a64-82ab-733feb1a5ce1 · outbound

This paper cites Revolutionizing Finance with LLMs: An Overview of Applications and Insights.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Revolutionizing Finance with LLMs: An Overview of Applications and Insights

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.777362Z

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.

Observation 387cfe98-e3c7-4bfb-8fb5-5fb6717a1923 · outbound

This paper cites FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.766654Z

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.

Observation 25de25f8-add4-4c89-9283-6ca4194ecbb8 · outbound

This paper cites Flames: Benchmarking Value Alignment of LLMs in Chinese.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Flames: Benchmarking Value Alignment of LLMs in Chinese

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.754406Z

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.

Observation 1f4b8ad5-9754-4401-be8e-efc88e744f79 · outbound

This paper cites Pattern recognition.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Pattern recognition

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.743100Z

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.

Observation 3fd4d5de-b174-4a42-8145-97c02dc04f81 · outbound

This paper cites Large language models present new questions for decision support.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Large language models present new questions for decision support

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.732613Z

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.

Observation 694df000-08ee-4ffb-bedd-6d195c0ecadf · outbound

This paper cites Effective Usage of Large Language Models in Investment with an Example of Asset Allocation Analysis.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Effective Usage of Large Language Models in Investment with an Example of Asset Allocation Analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.722007Z

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.

Observation 1581ba12-26aa-41e1-976d-c54e6212ac32 · outbound

This paper cites Quantified Strategies 2024.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Quantified Strategies 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.710373Z

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.

Observation 5e1db72c-b35f-4db1-9f5c-c84c2d198cc2 · outbound

This paper cites Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Towards Resilient and Efficient LLMs: A Comparative Study of Efficiency, Performance, and Adversarial Robustness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.063352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e93624bd-d858-4431-bd4e-014a54d598f7 · outbound

This paper cites Financial Sentiment Analysis(FSA): A Survey.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Financial Sentiment Analysis(FSA): A Survey

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.695594Z

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.

Observation 4c987a59-53b9-4eb1-bedb-2159e48291d5 · outbound

This paper cites News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.683286Z

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.

Observation ecfc137e-4489-4b1c-ae75-8cc0e9efe70e · outbound

This paper cites NLP techniques for automating responses to customer queries: a systematic review.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? NLP techniques for automating responses to customer queries: a systematic review

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.670622Z

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.

Observation 7362e2d0-5866-49a2-9a45-b0b70921ad0a · outbound

This paper cites An Effective TF-IDF Model to Improve the Text Classification Performance.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? An Effective TF-IDF Model to Improve the Text Classification Performance

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.658021Z

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.

Observation bdfc886e-8a96-4698-bfb9-1a0db7d01beb · outbound

This paper cites Machine Learning Algorithms for Prediction of Stock Market: A Systematic Literature Review.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Machine Learning Algorithms for Prediction of Stock Market: A Systematic Literature Review

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-11T21:16:05.455963Z

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.

Observation f5f5f4e2-86e4-4778-9bba-d2c5c00edfb0 · outbound

This paper cites Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.646434Z

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.

Observation 17b04901-5d10-4f85-a92f-0c960773b470 · outbound

This paper cites Long Short-Term Memory.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Long Short-Term Memory

Reference 16

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Source-reported events for the cited work

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Observation 89b1f03d-e033-40b7-b40a-8e4e366c1593 · outbound

This paper cites The Science of Detecting LLM-Generated Texts.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? The Science of Detecting LLM-Generated Texts

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.094677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8b01da-a634-4d3b-bf33-cf3ad4ade414 · outbound

This paper cites Improving stock market prediction accuracy using sentiment and technical analysis.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Improving stock market prediction accuracy using sentiment and technical analysis

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.628115Z

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.

Observation 9e18b1d0-e071-4893-88c3-8b7d2c169735 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.102636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4c2fb4-5fe2-49cd-acb3-f180b06b3da2 · outbound

This paper cites Improving Language Understanding by Generative Pre-Training.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Improving Language Understanding by Generative Pre-Training

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.617177Z

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.

Observation 6cac9d2b-941b-4c5e-8029-2c614c708576 · outbound

This paper cites Text mining arXiv: a look through quantitative finance papers.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Text mining arXiv: a look through quantitative finance papers

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.606351Z

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.

Observation 938b2d6b-125b-48ed-b6dd-2a41de82c788 · outbound

This paper cites Strategic behavior of large language models and the role of game structure versus contextual framing.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Strategic behavior of large language models and the role of game structure versus contextual framing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.596295Z

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.

Observation e631ecd2-a1c1-47df-baa0-a8eebb47a833 · outbound

This paper cites Stock price prediction using BERT and GAN.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Stock price prediction using BERT and GAN

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.584377Z

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.

Observation 0ecc4cf2-705c-4cea-887f-eb68f0616ca5 · outbound

This paper cites Large Language Models in Finance: A Survey.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Large Language Models in Finance: A Survey

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.121424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 120e1bdf-4f25-428d-bd95-f89736f3cf77 · outbound

This paper cites Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.573870Z

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.

Observation 3cb4fcfb-28e2-45ce-9dc0-8cdce0e19950 · outbound

This paper cites Deep Learning for Financial Applications : A Survey.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Deep Learning for Financial Applications : A Survey

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.562616Z

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.

Observation 2fbb879e-ba7a-4154-80ec-1a617cd45ba6 · outbound

This paper cites Overview - QuantConnect.com.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Overview - QuantConnect.com

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.551268Z

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.

Observation 7fa70f7b-b147-4279-b074-a5568b8eec65 · outbound

This paper cites A Real Time Stock tendency prognostication using Quantopian.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? A Real Time Stock tendency prognostication using Quantopian

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.135813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 864e7908-2dbf-4e9a-a9b5-17e5ba1dd541 · outbound

This paper cites Artificial intelligence techniques in financial trading: A systematic literature review.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Artificial intelligence techniques in financial trading: A systematic literature review

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.539420Z

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.

Observation eb994ee0-08e9-4abc-a296-8fb5e0ec5775 · outbound

This paper cites Quantitative Trading: An Introduction.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Quantitative Trading: An Introduction

Reference 30

Resolution: verified exact; doi, observed 2026-08-11T21:16:05.204423Z

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.

Observation 28be2308-7a6c-4595-ae82-782f38862f74 · outbound

This paper cites An Automated Portfolio Trading System with Feature Preprocessing and Recurrent Reinforcement Learning.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? An Automated Portfolio Trading System with Feature Preprocessing and Recurrent Reinforcement Learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.526607Z

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.

Observation e9adb89b-406e-4afe-894c-5e972a6aed8e · outbound

This paper cites Multi-agent platform to support trading decisions in the FOREX market.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Multi-agent platform to support trading decisions in the FOREX market

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.514241Z

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.

Observation 0414091c-cf04-4ab1-81e8-f4d53d587ca2 · outbound

This paper cites Practical Application of Deep Reinforcement Learning to Optimal Trade Execution.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Practical Application of Deep Reinforcement Learning to Optimal Trade Execution

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.501796Z

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.

Observation f2e9b1a5-6496-4e02-9f2c-6acb71700e87 · outbound

This paper cites MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce0bdb44-c8d2-4610-b527-de9436964984 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.161179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06c6937-6be0-4fd3-9fd3-f686af45b5ff · outbound

This paper cites GPT-4o mini: advancing cost-efficient intelligence.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? GPT-4o mini: advancing cost-efficient intelligence

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.489772Z

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.

Observation dd611664-2a8f-4841-853a-5af8e0c7bd11 · outbound

This paper cites Notes on Qwen-Max-0428.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Notes on Qwen-Max-0428

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:16:05.477945Z

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.

Observation 9e65f076-5237-4001-b76d-4f6aa739ba71 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.172128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34828d07-ce50-4b03-bbf8-4ab9cc880254 · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Yi: Open Foundation Models by 01.AI

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T21:16:05.175959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.