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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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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=sha256:2e690ab6f7e43e643db6635d362aa3394bb0a1640a268af45825378b235a2463

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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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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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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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.

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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=sha256:7ff0768d72d59de76d8e532112dd79abffafec43c4ea699468e2c9a37126c39d

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 2026-08-08T06:32:00.761636+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=sha256:8a750b206de2256e4f8eafebf830b632c7e4354b018f2e186e54f52c59638c34

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=sha256:20d4be6ae70c6f71ea65c8f37984f62c993328d83f49dc83eef9c80552efea9e

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

source=pdf_text observed=2026-08-06T19:50:40.788344Z digest=sha256:8f7b1291a42eb5e280392912d0ea373adea762a057b60a45699c21eb18ad0e6d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.804689Z digest=sha256:fda2a1d77e93f90c2d1c05e24378fd2396ef00a6fbb88e9d8acc17b830b94fb1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.799055Z digest=sha256:f6396822b79b52ffb59c132b5cf32a1451dcea808dbc5a21a9958fac24fca638

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=sha256:1360524b4181dc36af980b7c573146bc969a3fd3790ba016f4919713c13b94b6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.810088Z digest=sha256:11044379a618eb9cee4a331854dce63f64e865a45f49801ab292a5d6c629eb03

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.826130Z digest=sha256:1313ae3f739d4764f159de4f22d6e52840ff0de552deb0cf9fbd0a85030552ff

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.821010Z digest=sha256:785417addbac9a050984a7ec907c1441068f2239f71cb3161142c95e4266d856

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

Resolution
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=sha256:4f00502b631a5041d30ce3c2cb71ed6f6eb5d095a55210dbe4e19e96f8b81102

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.831000Z digest=sha256:bea1ba8e570a5115dbeb1c120cc27eda8d300f8798ff9403001f815af3ade8fc

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:da48c42b8ebc4ecb5055cf937c7dfd0e42bdb1eb407d2f50a857bb400396360f

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:e5b1a8c3ad865b16e047e21df9b61b427332959edf18409af08831cccbadacd6

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=sha256:19f8c33de3ff31d80d8dcaecc576d75349b4298480798e64ffdbfdc531e69001

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:df254856190d965cdeb820ac95cf18f0b4aaf6006434993baea2f3a9de19c777

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:50:40.867224Z digest=sha256:c4f5fce2910110b9d662efa482235a5acb315c43e6cb8aa7982c679c57080201

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:df1c0c350ee2d060237edc6859826e35644895856c5bc4c133ccd8f2a8264ab1

Pith citing papers

No inbound Pith citation observations are available.