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Paper Citation Record · LEDGER

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.08015.

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

pith.paper-citation-record.v1
2507.08015 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:50:40.867224Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

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Outbound references

Observation 2f5ad239-1673-4a50-a819-5adaff033c90 · outbound

This paper cites Sentiment classification: Review of text vectorization methods: Bag of words, tf-idf, word2vec and doc2vec.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Sentiment classification: Review of text vectorization methods: Bag of words, tf-idf, word2vec and doc2vec

Reference 1

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Observation d5778107-b7e7-4979-a18c-befbbe2650ae · outbound

This paper cites Ai in financial services: Fraud detection, algorithmic trading, and risk assessment.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Ai in financial services: Fraud detection, algorithmic trading, and risk assessment

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b52cbf3c-b9f7-43a3-b56e-c223ed424454 · outbound

This paper cites Ai competencies for internal auditors in the public sector.Edpacs, 69(1):3–21, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Ai competencies for internal auditors in the public sector.Edpacs, 69(1):3–21, 2024

Reference 3

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Observation 3c859ee8-65aa-4305-8481-1ddd7b3431f7 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 4

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Observation 62db3425-f6b2-48ae-8afb-b2bfc67c1772 · outbound

This paper cites Language models are few-shot learners.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Language models are few-shot learners

Reference 5

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Observation 4c640c83-1f6c-494d-b5f7-54e9e3a5fcc3 · outbound

This paper cites Flare-fiqa-sa: Financial sentiment dataset.https://huggingface.co/datasets/ChanceFocus/ flare-fiqasa, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fiqa-sa: Financial sentiment dataset.https://huggingface.co/datasets/ChanceFocus/ flare-fiqasa, 2023

Reference 6

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Observation 7d78bdaa-84a8-44df-9e6d-de297db70206 · outbound

This paper cites Cikm18 stock dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Cikm18 stock dataset

Reference 7

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Observation a2c0d8c6-d162-4a5a-ae1c-d3c138344232 · outbound

This paper cites Flare-ectsum: Financial summarization dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-ectsum: Financial summarization dataset

Reference 8

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2492cfc9-6dd2-489c-9251-fa743949c588 · outbound

This paper cites Flare-finqa: Financial qa dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-finqa: Financial qa dataset

Reference 9

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0bef47a8-6dcd-4a7f-8cbf-a3255d477b88 · outbound

This paper cites Stocknet dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Stocknet dataset

Reference 10

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b04c482e-d558-4501-9392-46965db27e35 · outbound

This paper cites How artificial intelligence is reshaping the financial services industry, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications How artificial intelligence is reshaping the financial services industry, 2024

Reference 11

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Observation cd0f66fc-a8dc-4422-9468-5008f007401a · outbound

This paper cites an unresolved cited work.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Unresolved cited work

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.246732Z digest=sha256:80619d0d1798b2b8dec1e1bfefc478def6b48a3c35b41687a1ff0b6262eefa20

Observation 08d2c137-dd49-472d-af63-e04656d0112c · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 13

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Observation dbdbf825-e730-48d4-9087-e5a448d23010 · outbound

This paper cites An investigation of artificial intelligence application in auditing.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications An investigation of artificial intelligence application in auditing

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 275a3328-5c26-4670-95ae-63680bc1bb1d · outbound

This paper cites Convfinqa dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Convfinqa dataset

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ba6c965d-95f6-4728-b596-b765dd463ee5 · outbound

This paper cites Enhancing financial risk management with federated ai.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Enhancing financial risk management with federated ai

Reference 16

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6c6eb5ae-7b35-4538-a1d4-086c39134ab9 · outbound

This paper cites Fingpt-ner dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt-ner dataset

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 968dce4e-6b9c-4c94-aeca-fa24e28e6096 · outbound

This paper cites Fingpt-headline dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt-headline dataset

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 82453b24-590a-4f5e-b3b5-55d21bc1ae60 · outbound

This paper cites Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 19

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Observation b21d9983-fe04-4181-9214-c62ba7fa7378 · outbound

This paper cites MIT press Cambridge, 2016.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications MIT press Cambridge, 2016

Reference 20

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Observation e9b8c386-71b5-400f-bb23-47cceea57d0d · outbound

This paper cites Analyzing the role of artificial intelligence in it audit: current practices and future prospects.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Analyzing the role of artificial intelligence in it audit: current practices and future prospects

Reference 21

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Observation fafdae77-827d-4dc1-81b3-c329dc9fc50b · outbound

This paper cites Finbert: A large language model for extracting information from financial text.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Finbert: A large language model for extracting information from financial text

Reference 22

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Observation a6dafca1-3eef-4887-b8f0-a4254de01c12 · outbound

This paper cites A Survey of Large Language Models in Finance (FinLLMs).

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A Survey of Large Language Models in Finance (FinLLMs)

Reference 23

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Observation 7a98364c-0596-4f26-872e-361f46635dac · outbound

This paper cites A comprehensive review of generative ai in finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A comprehensive review of generative ai in finance

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0eb6dfcb-0eb5-40c9-ab07-330dcff7d479 · outbound

This paper cites Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks

Reference 25

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source=pdf_text observed=2026-08-06T19:50:40.773147Z digest=sha256:ef21ebc5c57fe2633cee11773cecd4faf4a71cf3b63a26522e7b980982aae5ef

Observation ef45655b-95f8-40c3-bcfb-2f55802f301e · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 26

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Observation 600749fd-89da-4de8-b254-5af8cee32b0f · outbound

This paper cites A proposal for the dartmouth summer research project on artificial intelligence.WIRED, 2012.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications A proposal for the dartmouth summer research project on artificial intelligence.WIRED, 2012

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3ccc6313-3ba7-4d78-b43a-6c747ef676ac · outbound

This paper cites FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 28

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source=pdf_text observed=2026-08-06T19:50:40.778369Z digest=sha256:f5c8f3713e467499a2d68b65109e9f2c2bbeeb93233dfa2dcfc96c1bf36ada85

Observation c405ff30-60a9-46fa-867a-61e075af17e0 · outbound

This paper cites Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance

Reference 29

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source=pdf_text observed=2026-08-06T19:50:40.793490Z digest=sha256:5b1b31a892cc93d5741e1bf5fdad2f21d6fed1935d449807881d607d5c0923c0

Observation 65ed72f6-1369-4109-aa3c-8b20db79853f · outbound

This paper cites Deep learning for financial applica- tions: A survey.Applied soft computing, 93:106384, 2020.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Deep learning for financial applica- tions: A survey.Applied soft computing, 93:106384, 2020

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.788344Z digest=sha256:fa82b2898bef4e537dc5cfcae8833aa111d73ae10437e73ffcc5e0ac9e143a23

Observation 455b89ad-b7c0-4775-89bb-5cad4b6b0bf0 · outbound

This paper cites Generative adversarial networks applied to synthetic financial scenarios generation.Physica A: Statistical Mechanics and its Applications, 623:128899, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Generative adversarial networks applied to synthetic financial scenarios generation.Physica A: Statistical Mechanics and its Applications, 623:128899, 2023

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.804689Z digest=sha256:948399f0a59541dc8518bf7d701cc07849d10fd61cc19c9fbdb9474e9efbc11d

Observation c1177a1e-02a4-4a43-a07f-6b9769d97544 · outbound

This paper cites Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations.EdTech Journal, 3(1):20–23, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Artificial intelligence and the evolution of finance: opportunities, challenges and ethical considerations.EdTech Journal, 3(1):20–23, 2023

Reference 32

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.799055Z digest=sha256:fbf6406aca105129cc3ad5e6f87634ff5b3c4043d33e73fcba26e3973f645a73

Observation 3cdeba5f-5999-47f1-a372-50f0c6c3aa51 · outbound

This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063, 2024

Reference 33

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source=pdf_text observed=2026-08-06T19:50:40.815084Z digest=sha256:8be9526573c370691e9c929c8cfbc6584f333d7d049c573ff422558a7aab096d

Observation 74df0c44-2325-45e9-bd21-dcae455b3484 · outbound

This paper cites International Monetary Fund, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications International Monetary Fund, 2023

Reference 34

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raw_fallback, observed 2026-08-06T19:50:41.295730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.810088Z digest=sha256:0b7885cdfe1967328383a859a26ebb30f2a4ae1df6358dfeaa45b0399c92af07

Observation 337af3df-691b-4095-8c60-443b247c9156 · outbound

This paper cites Flare-fpb: Financial phrase bank dataset.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fpb: Financial phrase bank dataset

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T19:50:41.254338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.826130Z digest=sha256:bbea0d81181fc77dc14c5788fe235ee7207d90c0f8e033b755d9a6cf93188882

Observation a911ec6f-d3af-41fd-bacf-6bedd376ff75 · outbound

This paper cites Bigdata22 dataset.https://huggingface.co/datasets/TheFinAI/flare-sm-bigdata, 2023.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Bigdata22 dataset.https://huggingface.co/datasets/TheFinAI/flare-sm-bigdata, 2023

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T19:50:41.270348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.821010Z digest=sha256:3a624ee6fc68688575edb4d6fa02a98c71dab1a0b84c6bf40a3bbdd85cc8f997

Observation de0085d0-d98e-43fb-a95c-512b541fb715 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications LLaMA: Open and Efficient Foundation Language Models

Reference 37

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unresolved
no resolver link, observed 2026-08-06T19:50:40.836494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.836494Z digest=sha256:a6bf44efdb23ef156f11a349e63c0d48c780e8799055b9c22ff57a04951663ce

Observation 448fba1c-b80c-4b32-9fc3-b19f52f3375b · outbound

This paper cites Flare-fpb: Financial language analysis for real-world events - financial phrasebank.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Flare-fpb: Financial language analysis for real-world events - financial phrasebank

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:50:41.236714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.831000Z digest=sha256:d6304aaa0a7627baf5d9ed6618a1f8e6b4e9152d2a0a3b99a50eda8ccc72610c

Observation aa99ed99-a59a-4217-9a98-9c001505b94e · outbound

This paper cites BloombergGPT: A Large Language Model for Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications BloombergGPT: A Large Language Model for Finance

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.846779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.846779Z digest=sha256:9ca616d680568f77437df48cceb2b54480308d282cba53a5a589a4c24a6063dc

Observation a6c6531c-75c4-4fdc-908a-aed9d5bcc9c3 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.841688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.841688Z digest=sha256:b1860d75815dab1657931bdead06904c0832484e165f5a6c53bc2723921b3430

Observation 61675cc9-c783-41bd-9b36-e85d3e8dbe6d · outbound

This paper cites Fingpt: Open-source financial large language models.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Fingpt: Open-source financial large language models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.857477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.857477Z digest=sha256:a425892fc17185dd9461861f35d649cecc462bb97ef77bc9d526b14075d92412

Observation 58fa0fc6-ae4b-4eeb-bbba-9288718297b1 · outbound

This paper cites PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.852734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.852734Z digest=sha256:1ae121a66b3f750b9f95fdae907e11619f54d345d13874227a84e9e75205fbcf

Observation c80f8023-4e9d-4ce2-a2c2-74217714c70a · outbound

This paper cites Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions.IEEE Access, 2024.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions.IEEE Access, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:50:41.208959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:50:40.867224Z digest=sha256:5f6bd5e936362d0571258f553e690fc63f314fa1744155f0e2a319684819cfdd

Observation 858b7db2-92ad-43dc-a895-92883eea4f1c · outbound

This paper cites InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning.

Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:50:40.862273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:50:40.862273Z digest=sha256:ec878bcbd91dce8d41f555e70f7f9095ed51a5dadebbfcf58ceb43e19a2c4c1c

Pith citing papers

No inbound Pith citation observations are available.