Paper Citation Record · LEDGER

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2306.12659.

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

pith.paper-citation-record.v1
2306.12659 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:17:21.191786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:25:23.299832Z

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 549c237d-9f8c-4326-953d-8dd1a5ade495 · inbound

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution cites this paper.

Hierarchical Reinforced Trader (HRT): A Bi-Level Approach for Optimizing Stock Selection and Execution Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:28:21.576111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f26b2c9c-a95e-4f9f-8e1f-160617bfb63c · inbound

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation cites this paper.

Enhancing Financial Domain Adaptation of Language Models via Model Augmentation Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T20:55:35.681218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af4f4a6c-acfb-4526-8355-817f700338b9 · inbound

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning cites this paper.

Financial Sentiment Analysis: Leveraging Actual and Synthetic Data for Supervised Fine-tuning Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T16:42:52.828305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b959c344-e589-44fd-855b-4b2cd3b76050 · inbound

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools cites this paper.

FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:41:21.661747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65b675ee-3fc5-4411-b8ef-8266533c94a0 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:12:21.072201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation af593041-0399-497b-b009-569e9e18a873 · inbound

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

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:09.645611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 931ee6e2-0a22-4bc8-992a-1bbe0af269c2 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.834031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cf137a3f-ec3f-4fe9-917c-e1ecdb931509 · inbound

Demystifying ChatGPT: How It Masters Genre Recognition cites this paper.

Demystifying ChatGPT: How It Masters Genre Recognition Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:04:11.237813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78cb13e-64da-4334-aa78-37fd9ec9b581 · inbound

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs cites this paper.

FinDPO: Financial Sentiment Analysis for Algorithmic Trading through Preference Optimization of LLMs Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T18:17:21.191786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 038c3e42-9d51-4aab-96a6-6558daad0694 · inbound

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain cites this paper.

Fin-Bias: Comprehensive Evaluation for LLM Decision-Making under human bias in Finance Domain Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:16:15.746710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 957f559c-38a0-4539-8d69-e34089a166ca · inbound

MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models cites this paper.

MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:25:23.303121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b0a91c17-f78e-43f1-b6f1-eab307f905b9 · inbound

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

LAARA: Layer-Aware Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T09:01:48.182480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 503abcf2-f1aa-41e0-bbf8-c959b031a71e · inbound

FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning cites this paper.

FinSMART: Financial Sentiment Analysis for Algorithmic Trading through Market-Aligned Reinforcement Learning Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T17:02:35.896659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.