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Paper Citation Record · LEDGER

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy

As of 8 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 0 inbound Pith citation observations for arXiv:2506.04290.

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

pith.paper-citation-record.v1
2506.04290 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:58:09.758745Z

measured 85 of 85 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.

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

85 of 85 outbound references displayed

  • verified exact6
  • verified fuzzy52
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3dfeca81-06d0-4fad-a364-b3318023ad89 · outbound

This paper cites Game theory analysis on credit risk assessment in e-commerce.Information Processing & Management, 59(1):102763, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Game theory analysis on credit risk assessment in e-commerce.Information Processing & Management, 59(1):102763, 2022

Reference 1

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Observation c8b7fe05-b150-4c0e-90cc-7bacc41369b9 · outbound

This paper cites Data-driven decision-making in credit risk management: The information value of analyst reports.Decision Support Systems, 158:113770, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Data-driven decision-making in credit risk management: The information value of analyst reports.Decision Support Systems, 158:113770, 2022

Reference 2

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source=pdf_text observed=2026-08-07T10:58:09.444895Z digest=sha256:bf35a0beaf2e74273e1b9ae319317d9ef0a5c6a654c49ebccf3f416a8f8866f8

Observation 21fda5c2-8940-4e78-bd91-d2baf94d2871 · outbound

This paper cites Comparative investigation of gpt and finbert’s sentiment analysis performance in news across different sectors.Electronics, 14(6):1090, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Comparative investigation of gpt and finbert’s sentiment analysis performance in news across different sectors.Electronics, 14(6):1090, 2025

Reference 3

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source=pdf_text observed=2026-08-07T10:58:09.447668Z digest=sha256:60f9377e6177b9fe93eadf8c46abeea3bf33f7322b186cabcbbd3a9532446928

Observation f7d2ea09-d3d9-4c51-90ab-0f3f773ad901 · outbound

This paper cites Llm-driven apt detection for 6g wireless networks: A systematic review and taxonomy.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Llm-driven apt detection for 6g wireless networks: A systematic review and taxonomy

Reference 4

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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=2026-08-07T10:58:09.450493Z digest=sha256:b7be12497d6454cbaa931025d2b36c43b9934b87a373dbbd3b01a714a2f85bce

Observation 12e0455e-49a9-401d-9375-1e51ab0b7633 · outbound

This paper cites Innovative sentiment analysis and prediction of stock price using finbert, gpt-4 and logistic regression: A data-driven approach.Big Data and Cognitive Computing, 8(11):143, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Innovative sentiment analysis and prediction of stock price using finbert, gpt-4 and logistic regression: A data-driven approach.Big Data and Cognitive Computing, 8(11):143, 2024

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T10:58:09.453386Z digest=sha256:210b965c24235489706ea56ef7f1d4fd9c37be487a080e953ea16b7758f92f76

Observation 51f27347-b923-46bc-bcfd-2f8ea86fb68c · outbound

This paper cites A review on large language models and generative ai in banking.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A review on large language models and generative ai in banking

Reference 6

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source=pdf_text observed=2026-08-07T10:58:09.456092Z digest=sha256:f44ae3b628d29f2cdebe5cfed18672e60800c0eb843fafcdd0ca0d759e527304

Observation 09c1eb03-a0a2-47ea-ba24-b8ed821130cb · outbound

This paper cites Enhancing Financial Inclusion and Regulatory Challenges: A Critical Analysis of Digital Banks and Alternative Lenders Through Digital Platforms, Machine Learning, and Large Language Models Integration.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing Financial Inclusion and Regulatory Challenges: A Critical Analysis of Digital Banks and Alternative Lenders Through Digital Platforms, Machine Learning, and Large Language Models Integration

Reference 7

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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=2026-08-07T10:58:09.458871Z digest=sha256:041e1b1a534c3b05886b796899739b0f13051834e990fbe6d0e55ad6786e9bdc

Observation f9b1e4a1-faa8-4ddc-8d83-8d5a78de9507 · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 8

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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=2026-08-07T10:58:09.462021Z digest=sha256:7a20d151a0e1f6f297804d2d9d9fa9f6ef638c21808458a946c3b35cd445c17d

Observation 4b281b2c-fdb7-47e2-879b-ecffd32c18cc · outbound

This paper cites A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law

Reference 9

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source=pdf_text observed=2026-08-07T10:58:09.464553Z digest=sha256:92c29205d9ed20862f518d3155f9639870e6dd2fcc35c648b0bdea51cf576061

Observation e196d10b-6057-4501-b519-0c67a8175048 · outbound

This paper cites A systematic review of sentiment analytics in banking headlines.Decision Analytics Jour- nal, page 100584, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A systematic review of sentiment analytics in banking headlines.Decision Analytics Jour- nal, page 100584, 2025

Reference 10

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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=2026-08-07T10:58:09.467349Z digest=sha256:579b8d2cf167e0f9e100d1133d13a1ec1aa893fec58883e8493e2ff638032972

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

This paper cites A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges.

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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source=pdf_text observed=2026-08-07T10:58:09.470136Z digest=sha256:737ab45fbb78edd819d5062164ef32ba9a4c7a474701a8646f6bb14d8af26e00

Observation 59efc432-2439-4b5b-af77-229ab5d09a96 · outbound

This paper cites Machine learning for identifying risk in financial statements: A survey.ACM Computing Surveys, 57(9):1–37, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Machine learning for identifying risk in financial statements: A survey.ACM Computing Surveys, 57(9):1–37, 2025

Reference 12

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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=2026-08-07T10:58:09.473180Z digest=sha256:10bb0606b9c324e11f69377c3dee8f92cfcee094d6a2852a66a7ee7c3bc2e7f3

Observation 7eabca34-4037-420f-9ee8-48cda55b03d0 · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 13

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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=2026-08-07T10:58:09.475649Z digest=sha256:b0740c8a5559421a4ab561ba711f6c235cab299aaa3a91f9d277fc0c7de99fe0

Observation a101f192-6685-40d6-a816-378b15bf28ec · outbound

This paper cites A comprehensive review of gen ai agents: Applications and frameworks in finance, investments and risk domains.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A comprehensive review of gen ai agents: Applications and frameworks in finance, investments and risk domains

Reference 14

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T10:58:09.478039Z digest=sha256:95cce194e7aa8a1f8e08fe8b5bf2250b70533a5b1a420f2f260a79072731a0ee

Observation a87fbd34-8408-45c6-90b8-bd394530ef9e · outbound

This paper cites Large language models for financial and investment management: Applications and benchmarks.Journal of Portfolio Management, 51(2), 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models for financial and investment management: Applications and benchmarks.Journal of Portfolio Management, 51(2), 2024

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.

source=pdf_text observed=2026-08-07T10:58:09.480427Z digest=sha256:561d34ebc95376d6e4caf93e44edee336a9150a4976b1710392c496d6fb7a2e5

Observation e11d9858-541e-4e83-9a33-f1f993874cac · outbound

This paper cites Review of gen ai models for financial risk management: Architectural frameworks and implementation strategies.Available at SSRN 5239190, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Review of gen ai models for financial risk management: Architectural frameworks and implementation strategies.Available at SSRN 5239190, 2025

Reference 16

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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=2026-08-07T10:58:09.483203Z digest=sha256:44a0e52159e69c884e884f2acb55bb204264abe00d16db505d22afc9a05b8add

Observation 127f93e2-93f5-4826-b52e-611867cea12e · outbound

This paper cites Large language models in finance (finllms).Neural Computing and Applications, pages 1–15, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance (finllms).Neural Computing and Applications, pages 1–15, 2025

Reference 17

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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=2026-08-07T10:58:09.485544Z digest=sha256:38df4efedaa1e87b7c401caf5386bd992875772db6b5fb5e10b306e081053594

Observation 3215d02e-1531-4a8e-a833-534db58a5d24 · outbound

This paper cites AlSaleh, and Amir Mazhar.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy AlSaleh, and Amir Mazhar

Reference 18

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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=2026-08-07T10:58:09.487897Z digest=sha256:47d144e049e3e9bd2299f39ddc69daf1c017ad47b6fe85fcc34da8725c2ac0b0

Observation d19eaf89-8acb-4b2f-8678-8a270d8c357a · outbound

This paper cites The impact of big data characteristics on credit risk assessment.International Journal of Data Science and Analytics, pages 1–21, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy The impact of big data characteristics on credit risk assessment.International Journal of Data Science and Analytics, pages 1–21, 2025

Reference 19

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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=2026-08-07T10:58:09.490778Z digest=sha256:fa9124d8784afd4ba741718863023975ea8ebacefdbec409e028999d9518763d

Observation 41bae6ad-10b2-4eaf-982a-c9a9abfd937f · outbound

This paper cites Large language models in finance: Reasoning.Large Language Models in Finance: Reasoning (December 08, 2024), 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance: Reasoning.Large Language Models in Finance: Reasoning (December 08, 2024), 2024

Reference 20

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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=2026-08-07T10:58:09.493451Z digest=sha256:dc5c445861767f19c5ccfd1c2057238065015b1796631b787c6eb3e91280b8c0

Observation 6828d729-e209-416f-bc03-61b6f9d3ec6e · outbound

This paper cites Large language models in finance: A survey.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models in finance: A survey

Reference 21

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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=2026-08-07T10:58:09.495849Z digest=sha256:5625feb4d2a23335ec3c1159cbda0f4281e3d2db32de40c9a3e55193d2842093

Observation 104bcb7d-0136-49d7-8668-ecb8dba36771 · outbound

This paper cites Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes

Reference 22

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local_arxiv, observed 2026-08-07T10:58:09.995659Z

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=2026-08-07T10:58:09.498428Z digest=sha256:5ef5dcd8969b76655e857d0c7929f0c1337a7328ccec87f1fb05c3127ed34f6c

Observation 261a91ea-6f12-46b5-ba33-671b28dbf2df · outbound

This paper cites Comparative analysis of large language models adapt- ability to detect sentiments in financial domain.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Comparative analysis of large language models adapt- ability to detect sentiments in financial domain

Reference 23

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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=2026-08-07T10:58:09.501174Z digest=sha256:8d9f9741760f1f9b5414921290b122ed0c4e1ad338a2db24905cc038759d4d08

Observation 9a979527-992d-4f62-91a1-d8d3cc164c9b · outbound

This paper cites Large language models (llms) for financial security.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models (llms) for financial security

Reference 24

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raw_fallback, observed 2026-08-07T10:58:10.415135Z

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=2026-08-07T10:58:09.504377Z digest=sha256:42183847d785c225be8b63cd46c26f5fc6238b4a56df8030c9d0e07b5e08dfd6

Observation f5a86c7c-813e-41e9-93e5-1e96696c7de2 · outbound

This paper cites Assessing consistency and reproducibility in the outputs of large language models: Evidence across diverse finance and accounting tasks.arXiv e-prints, pages arXiv–2503, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Assessing consistency and reproducibility in the outputs of large language models: Evidence across diverse finance and accounting tasks.arXiv e-prints, pages arXiv–2503, 2025

Reference 25

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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=2026-08-07T10:58:09.506958Z digest=sha256:80f6e419d4715ac43fc72a642b6e69745a648443893c25e5443bc7d9f44874b2

Observation c5d63b44-eb6b-488f-aa38-2053ae4302b2 · outbound

This paper cites Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai.Bard, and Bing AI (July 15, 2023), 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models and generative ai in finance: an analysis of chatgpt, bard, and bing ai.Bard, and Bing AI (July 15, 2023), 2023

Reference 26

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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=2026-08-07T10:58:09.509800Z digest=sha256:dd84cd4e2cc52441f5f2c7bc2e50ea88a03209588128ea5e8fae6620367646e1

Observation c6d19c35-3b9e-4ac3-a536-4776ab48e804 · outbound

This paper cites Genai and llm for financial institutions: A corporate strategic survey.Available at SSRN 4988118, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Genai and llm for financial institutions: A corporate strategic survey.Available at SSRN 4988118, 2024

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.

source=pdf_text observed=2026-08-07T10:58:09.585307Z digest=sha256:a5fd3356cb2e07d374dfb526ac25522bc2dae6b6be5852d024b2ebb34a69d63d

Observation 194fe830-a0e9-4827-9652-b3fe8f2a0b0d · outbound

This paper cites Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Credit Risk Meets Large Language Models: Building a Risk Indicator from Loan Descriptions in P2P Lending

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.588403Z digest=sha256:27ef60f5793db26801258abc3538a37845065dada718728a4f36f8953cc1a8ee

Observation 7c8bb2ed-46ab-4bf8-a037-e67a997c4111 · outbound

This paper cites Nlp-based application for analyzing private and public banks stocks reaction to news events in the indian stock exchange.Systems, 10(6):233, 2022.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Nlp-based application for analyzing private and public banks stocks reaction to news events in the indian stock exchange.Systems, 10(6):233, 2022

Reference 29

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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=2026-08-07T10:58:09.591572Z digest=sha256:bbd66f3053d4fa24ed38e6f45cae6dd06b0727fd937f77adc31cd1a5dcb327ef

Observation 39d506b9-1362-4c79-aab9-97cd1b27bf10 · outbound

This paper cites Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Extracting Structured Insights from Financial News: An Augmented LLM Driven Approach

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.594455Z digest=sha256:5c4f2df1dc13a03aad4df2695635d83b8570d865acc05cd9d4b05ec3359dedfa

Observation 5af1b7f0-f3bf-4e26-a6d0-c4d27c50bf77 · outbound

This paper cites Overcoming data limitations in credit risk assessment with fingpt-generated synthetic data.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Overcoming data limitations in credit risk assessment with fingpt-generated synthetic data

Reference 31

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raw_fallback, observed 2026-08-07T10:58:10.378298Z

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=2026-08-07T10:58:09.597560Z digest=sha256:f79b61acc99a77e01e1aa180f66cc37ebf71ea0039d49cfe44b874a12d042231

Observation 753be0f3-b0a8-474d-be03-f430b2ecaa1d · outbound

This paper cites Explainable transformers in financial forecasting.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Explainable transformers in financial forecasting

Reference 32

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raw_fallback, observed 2026-08-07T10:58:10.370819Z

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=2026-08-07T10:58:09.599974Z digest=sha256:e702268519f0226d457802cd08b878882f78de60201984e16bd44bac61c0ca53

Observation 9f21b704-a4c1-4237-8528-2b1c7d43a7f9 · outbound

This paper cites Making llms worth every penny: Resource-limited text classification in banking.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Making llms worth every penny: Resource-limited text classification in banking

Reference 35

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raw_fallback, observed 2026-08-07T10:58:10.355294Z

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=2026-08-07T10:58:09.608700Z digest=sha256:8e0fafc80244afc1db61a529e23a792153de29756ed375a94de8036162f5688d

Observation 8f0d6ce1-fae0-4f8f-a480-c3e10e28a2b6 · outbound

This paper cites Leveraging xai in prompt-based chatgpt for financial decision support.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Leveraging xai in prompt-based chatgpt for financial decision support

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.347680Z

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=2026-08-07T10:58:09.611048Z digest=sha256:ecb95b4354efc3d7edf17b5b477437a7ac5dea2a6ae10fd88bf02a2317080333

Observation e636a75e-8bfa-42b2-b945-f3ddc10abb39 · outbound

This paper cites Hallucination detection: Robustly discerning reliable answers in large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Hallucination detection: Robustly discerning reliable answers in large language models

Reference 37

Resolution
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no resolver link, observed 2026-08-07T10:58:09.613695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.613695Z digest=sha256:48978e78e959645460a9b19ecff47cfb4d1314927150fe4a49472196c2125819

Observation e6075b22-e097-4f71-a31b-36d0c7329194 · outbound

This paper cites Optimizing large language models for financial risk assessment in credit unions.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Optimizing large language models for financial risk assessment in credit unions

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.336920Z

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=2026-08-07T10:58:09.616083Z digest=sha256:c6df8be5840ef95949b77566fa52dd8a1c40ccac39148cb7ed20c09719e3d524

Observation a3991546-c4b3-4961-826a-7d3ceaaeb84a · outbound

This paper cites Large Language Model Adaptation for Financial Sentiment Analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large Language Model Adaptation for Financial Sentiment Analysis

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.618909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.618909Z digest=sha256:dbcb9257f6ed28b17070ac4342baed1e3e29ac5fb3cf3cd9c10a13151c17ed7c

Observation 65a966e6-2225-46bb-9909-da49a33a9896 · outbound

This paper cites Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.621611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.621611Z digest=sha256:9f41ec0c0cbf6c28193b07c661505377cc2a0a7943fe56ebcdbb11c1ece2ae57

Observation 78ce3de5-4e5a-45b6-9279-23090cdd8526 · outbound

This paper cites Deep learning with llm: A new paradigm for financial market prediction and analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Deep learning with llm: A new paradigm for financial market prediction and analysis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.329889Z

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=2026-08-07T10:58:09.624866Z digest=sha256:c8effac56dd7ff846ef45d1a15e5ad3778f732c491f663617523c7f54de28a70

Observation f182a118-3ec6-4f84-8f0b-57848f3a75d5 · outbound

This paper cites Design and implementation of an llm system to improve response time for smes technology credit evaluation.International journal of advanced smart convergence, 12(3):51–60, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Design and implementation of an llm system to improve response time for smes technology credit evaluation.International journal of advanced smart convergence, 12(3):51–60, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.322892Z

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=2026-08-07T10:58:09.628058Z digest=sha256:f638902f411f99c0724ea23bd551605b21ddb3fd7a1f5eeab2a2319e488d8338

Observation de828a84-bb7b-4daa-981c-44d664d34d97 · outbound

This paper cites Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.630727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.630727Z digest=sha256:7afa2f92c26670a798572e686b118b13780588494c064c961a20e6859b545b35

Observation 46877aea-8ec3-44f1-be94-4d0c51fbf145 · outbound

This paper cites Optimizing large language models for financial risk assessment in credit unions.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Optimizing large language models for financial risk assessment in credit unions

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.315904Z

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=2026-08-07T10:58:09.634652Z digest=sha256:d8295e14b0f2402ae3aed5e7005d8787cc67690f5071b6b48e65a558c16d16db

Observation e0976e2e-2e82-4cbd-854e-c80ada1d2f26 · outbound

This paper cites Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.637545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.637545Z digest=sha256:2c2427bce704fade252f16ad24612fb31e01b85651547476da0f503bd6e05a3e

Observation 0414ef6c-fc15-47e9-8c15-5da79f23878f · outbound

This paper cites Explainable Risk Classification in Financial Reports.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Explainable Risk Classification in Financial Reports

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:58:09.935176Z

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=2026-08-07T10:58:09.640346Z digest=sha256:6c519d628c6d00a96c72efec52f4995b5b4442d1c98a40912c0618e6b4a1cdcc

Observation eca6a7b2-6358-42e3-9f90-b1d8984ea635 · outbound

This paper cites Investigating the beneficial impact of segmentation-based modelling for credit scoring.Decision Support Systems, 179:114170, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Investigating the beneficial impact of segmentation-based modelling for credit scoring.Decision Support Systems, 179:114170, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.308737Z

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=2026-08-07T10:58:09.643053Z digest=sha256:00295154d672e367a82bb5cea809fb17cb3637770a16ea00de514badd21ec6e6

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

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

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.

source=pdf_text observed=2026-08-07T10:58:09.645611Z digest=sha256:e595a81b6799ff6c20e3e6a8ebd97463917a7b3b8282e54f845cf4b9378a1e1b

Observation b089238e-7b8b-4232-9bb3-2c2f7a877273 · outbound

This paper cites AraFinNLP 2024: The First Arabic Financial NLP Shared Task.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy AraFinNLP 2024: The First Arabic Financial NLP Shared Task

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.648454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.648454Z digest=sha256:439260b5957d7bf40ad7f3b87131ed7965228ace63819b223d9ae0bc784efd9d

Observation c4423ca0-1c6b-4b40-b21a-ca19bea33f63 · outbound

This paper cites Unleashing the power of text for credit default prediction: Comparing human-generated and ai-generated texts.SSRN Electronic Journal.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unleashing the power of text for credit default prediction: Comparing human-generated and ai-generated texts.SSRN Electronic Journal

Reference 50

Resolution
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no resolver link, observed 2026-08-07T10:58:09.651384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.651384Z digest=sha256:cdc49e775d89ba647755cfb1338e41081638f1d727ab61f1750069c89ab43b5e

Observation 60749f84-4b0c-4ee1-bac5-9bf614a4312a · outbound

This paper cites Bankruptcy prediction: Data augmentation, llms and the need for au- ditor’s opinion.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Bankruptcy prediction: Data augmentation, llms and the need for au- ditor’s opinion

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.301751Z

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=2026-08-07T10:58:09.655336Z digest=sha256:7b45da54b4bbfc4e4ad25d57407bac100cbad91359fcdd5b12e7a26f90d8256f

Observation 80649c5c-bc18-46b5-9dd4-e8dfc686e21d · outbound

This paper cites A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A Comparative Analysis of Instruction Fine-Tuning LLMs for Financial Text Classification

Reference 52

Resolution
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no resolver link, observed 2026-08-07T10:58:09.658457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.658457Z digest=sha256:ddfd1e80f42042a8a5f07097377d0051433acf1bd101dcec6fee3c9c3e6d24d3

Observation 050999d6-0063-42d2-8670-1918fdf384b7 · outbound

This paper cites Scalable fine-tunning strategies for llms in finance domain-specific ap- plication for credit union, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Scalable fine-tunning strategies for llms in finance domain-specific ap- plication for credit union, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.293952Z

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=2026-08-07T10:58:09.661287Z digest=sha256:38a61437e7439c784d42b0c04a1b17cb6383769702a658fa532a51ff9ea600ad

Observation 5f03c437-5bc7-4f3e-aa43-f2e18ed7b461 · outbound

This paper cites Open FinLLM Leaderboard: Towards Financial AI Readiness.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Open FinLLM Leaderboard: Towards Financial AI Readiness

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.663834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.663834Z digest=sha256:898b3d02ae6548af3d3248b56975cd96e546b431f75dc77a259e5ece4c524de2

Observation 1a8f4798-48c0-47a6-a05d-d47a17f7a6df · outbound

This paper cites Zigong 1.0: A large language model for financial credit.arXiv preprint arXiv:2502.16159, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Zigong 1.0: A large language model for financial credit.arXiv preprint arXiv:2502.16159, 2025

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.666772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.666772Z digest=sha256:9787becd972d12547ed31f87169bf6e2eb6ce2018b9c5fefd135520369a46779

Observation 1f2a2089-82e2-40b5-a5c7-c3b4f7372a8e · outbound

This paper cites Llms for financial advisement: A fair- ness and efficacy study in personal decision making.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Llms for financial advisement: A fair- ness and efficacy study in personal decision making

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.285857Z

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=2026-08-07T10:58:09.669341Z digest=sha256:084efe26b52b30a078b73f1ae5dedf293d7894c41bfe36b5ab5391be6710e0f8

Observation 06fc32ca-c550-452e-935c-787624ffcca1 · outbound

This paper cites Data-centric fingpt: Democratizing internet-scale data for financial large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Data-centric fingpt: Democratizing internet-scale data for financial large language models

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.278840Z

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=2026-08-07T10:58:09.671831Z digest=sha256:3bbb7ff410ded4d329ee45bb112e64dcadf5ed682cc9ebef284d268f7e5afa11

Observation fd5495f6-a25f-4b28-8a8c-1d7c9a84a7c6 · outbound

This paper cites Bridging Language Models and Financial Analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Bridging Language Models and Financial Analysis

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:58:09.817863Z

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=2026-08-07T10:58:09.675264Z digest=sha256:44270b7cf598cffcda48e92e3c4fd7f20941e855ca2d1fbdc74f0e1d37247171

Observation 260afb47-a802-4b86-a696-9b321ae82859 · outbound

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

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.678588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.678588Z digest=sha256:4184e2244854ea2f20be93880a8fcdaaad7c1c8bc9ffc687aa474de6fc9203e3

Observation bec37dd9-3af0-4e1e-ba63-4ec91b32791e · outbound

This paper cites Advanced default risk prediction in small and medum-sized enterprises using large language models.Applied Sciences, 15(5):2733, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Advanced default risk prediction in small and medum-sized enterprises using large language models.Applied Sciences, 15(5):2733, 2025

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.271514Z

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=2026-08-07T10:58:09.681130Z digest=sha256:ccc4741509eabd146eeff3849d67c43335bef3874fa519cc534a699b087cc81d

Observation 2b6f9024-f576-4f84-a95e-d1ed081d5ac5 · outbound

This paper cites Tagging enriched bank transactions using llm-generated topic taxonomies.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Tagging enriched bank transactions using llm-generated topic taxonomies

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.264621Z

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=2026-08-07T10:58:09.683796Z digest=sha256:ae135584f09353a62b2e902011ac920faff4e58c1ffc5e27ea20bacb64ad80fc

Observation 02625e68-6f25-4f37-9928-691d54d6beed · outbound

This paper cites Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.686526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.686526Z digest=sha256:6c60318550ef70abf9c8be9dfa66cafc79c68cf36a0a8582008ac4ca1db8fd66

Observation 1d385ae7-245e-4c2b-9162-e4c827b3ab9e · outbound

This paper cites Dynamic financial sentiment analysis and market forecasting through large language models.International Journal of Human Computations & Intelli- gence, 4(1):397–410, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Dynamic financial sentiment analysis and market forecasting through large language models.International Journal of Human Computations & Intelli- gence, 4(1):397–410, 2025

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.257903Z

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=2026-08-07T10:58:09.689336Z digest=sha256:91e7246ea0eec9f0d3b21b95ace8b4265f7f0ef1f3d3d2fd406842bba91b5820

Observation bfb20e7f-8ea3-4299-8e89-db1379922e14 · outbound

This paper cites Gpt classifications, with application to credit lending.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Gpt classifications, with application to credit lending

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.362758Z

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=2026-08-07T10:58:09.691949Z digest=sha256:6f8b6e0690b3960374f318d6792efc73f79c1269eb3ae68898c786d14991c8a1

Observation f15ea5ad-6f90-4cb3-88d7-e156a4084b10 · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:58:10.251037Z

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=2026-08-07T10:58:09.695847Z digest=sha256:df38d0d4464360bf1318ce4a02ceea1c88b30674ff4aab4b71a5ee7d2bc9dab9

Observation 4546cc0c-056a-4e6b-bcba-96259e2b32e5 · outbound

This paper cites Chatgpt based credit rating and default forecasting.Journal of Data, Information and Management, pages 1–24, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Chatgpt based credit rating and default forecasting.Journal of Data, Information and Management, pages 1–24, 2025

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.243484Z

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=2026-08-07T10:58:09.699221Z digest=sha256:f00f5d87fb5692004e698c5e6f52b26d2ee696313268a720a4b119d20b39ab59

Observation 4d8c4e6b-5bde-4fd9-a0e6-50de5b276593 · outbound

This paper cites A novel weighted loss tabtransformer integrating explainable ai for imbalanced credit risk datasets.IEEE Access, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy A novel weighted loss tabtransformer integrating explainable ai for imbalanced credit risk datasets.IEEE Access, 2025

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.235953Z

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=2026-08-07T10:58:09.701995Z digest=sha256:b017920ac9a861385bc1abbc140eb6c3023a80d65e4e246f260a8e79c26c4a17

Observation 4f1db602-9e5a-42c4-8197-f4415808738c · outbound

This paper cites Leveraging large language models for enhancing financial compliance: A focus on anti-money laundering applications.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Leveraging large language models for enhancing financial compliance: A focus on anti-money laundering applications

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.228544Z

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=2026-08-07T10:58:09.705567Z digest=sha256:ee9538400778277e66d78049745787e752ba63ef547f62618af22782d4c7e1f7

Observation bb5bbe88-6b59-41ac-8fce-5c46e8439749 · outbound

This paper cites Systematic Evaluation of Long-Context LLMs on Financial Concepts.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Systematic Evaluation of Long-Context LLMs on Financial Concepts

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:58:09.798357Z

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=2026-08-07T10:58:09.709005Z digest=sha256:767a824b7f28728dbb6b9dc38f08fcfcdb189b9af275cc21fca99d8356472b9d

Observation d8d961be-40aa-4919-b7a9-e335207e445a · outbound

This paper cites Analyse customer behaviour and sentiment using natural language pro- cessing (nlp) techniques to improve customer service and personalize banking experiences.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Analyse customer behaviour and sentiment using natural language pro- cessing (nlp) techniques to improve customer service and personalize banking experiences

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.221143Z

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=2026-08-07T10:58:09.711704Z digest=sha256:55a91297c6cc9b645eb2fa64ec68b8bd2c1118bd11d931b224178a63ed29e16c

Observation eab4d572-5ebb-4fdd-9a2f-371e7fc40792 · outbound

This paper cites Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.213628Z

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=2026-08-07T10:58:09.714264Z digest=sha256:339950d2d9bd242566735b658d60fdb6094e4ac9e68675345b5d36483cd4cd6f

Observation c762692e-fc9c-4c6f-822b-125d0064d26b · outbound

This paper cites Large language models and financial market sentiment.Available at SSRN 4584928, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Large language models and financial market sentiment.Available at SSRN 4584928, 2023

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.206119Z

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=2026-08-07T10:58:09.717127Z digest=sha256:1e6a059df33a8e501f97c3c78f3e565ef954823d4d1d9d2b1a98a8f3ad98ab26

Observation b97e1766-e4f9-4749-9a23-344c8254b7df · outbound

This paper cites Enhancing auto insurance risk evaluation with transformer and shap.IEEE Access, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing auto insurance risk evaluation with transformer and shap.IEEE Access, 2024

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.197453Z

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=2026-08-07T10:58:09.719548Z digest=sha256:f073d3398caa38ea335428cf962ec52fbcba339b492b52260eb77905c2c1188b

Observation e54287b0-7de7-4806-a130-68e12c4a2b90 · outbound

This paper cites Identifying representation bias in large language models used in financial sentiment analysis.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Identifying representation bias in large language models used in financial sentiment analysis

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.189390Z

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=2026-08-07T10:58:09.722091Z digest=sha256:0bb77f02c43cd21670c043d1759fa17a21c5c384bbcdf8e981af840c6542e51b

Observation 71ed9305-10ea-4a77-aaea-f94b09fd3ca6 · outbound

This paper cites Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716– 95743, 2024.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716– 95743, 2024

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.181314Z

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=2026-08-07T10:58:09.724921Z digest=sha256:0c2081400a8ca830538040eb6752f26772977b6f7f2128972b060f45cc4d6aa2

Observation 0fdcc313-83e2-4baf-802f-9083d4343c02 · outbound

This paper cites Research on the application methods of large language model interpretability in fintech scenarios.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Research on the application methods of large language model interpretability in fintech scenarios

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.173073Z

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=2026-08-07T10:58:09.727434Z digest=sha256:42ba92c9ac348216fe7ac27d52aa69cd89e0cc0f6fff71f501042415a4a45419

Observation ba908e59-7fb5-4215-882d-8e701662bfc9 · outbound

This paper cites At-fingpt: Financial risk prediction via an audio-text large language model.Finance Research Letters, 77:106967, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy At-fingpt: Financial risk prediction via an audio-text large language model.Finance Research Letters, 77:106967, 2025

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.165312Z

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=2026-08-07T10:58:09.730368Z digest=sha256:0b2042af48eb3d70c7cb69b173b0f9da935ff76437b3aa7032a6544d006604b6

Observation 739e8edd-ea39-439a-aa3f-4525eaa5c864 · outbound

This paper cites Secured framework for banking chatbots using ai, ml and nlp.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Secured framework for banking chatbots using ai, ml and nlp

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.158200Z

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=2026-08-07T10:58:09.732985Z digest=sha256:0201f6d24300905a69bc47f1f778063541921526b6b6694cba99ef495fa0cc74

Observation ae1fb1ca-cd69-455e-8158-2db053a0e0b0 · outbound

This paper cites Ai in investment analysis: Llms for equity stock ratings.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Ai in investment analysis: Llms for equity stock ratings

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.151373Z

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=2026-08-07T10:58:09.736623Z digest=sha256:a21cfd3c28211a698366b9d1f6cf87330996a7e3f110f87622e2ded2bddb0855

Observation 71381c6b-0c0e-40db-9a16-8b3f6a98b7b7 · outbound

This paper cites Sentiment analysis in finance: From transformers back to explainable lexicons (xlex).

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Sentiment analysis in finance: From transformers back to explainable lexicons (xlex)

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.144237Z

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=2026-08-07T10:58:09.740016Z digest=sha256:d6cf6448e5d07bdf32887cc94990a62d3f770ef4103ce7df9be3827e20035cd6

Observation dc608f53-7fd6-40fc-b2a1-69822e3b4897 · outbound

This paper cites Understanding behaviour of large language models for short-term and long-term fairness scenarios.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Understanding behaviour of large language models for short-term and long-term fairness scenarios

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.135788Z

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=2026-08-07T10:58:09.742471Z digest=sha256:04efc6ef2d0116545e6c436cdeb99c519015abaff1454b235a1c64e26c4f2090

Observation 074ae344-5083-4a48-a95d-543099db0a9e · outbound

This paper cites Gpt-lgbm: A chatgpt-based integrated framework for credit scoring with textual and structured data.Available at SSRN 4671511, 2023.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Gpt-lgbm: A chatgpt-based integrated framework for credit scoring with textual and structured data.Available at SSRN 4671511, 2023

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.128284Z

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=2026-08-07T10:58:09.745146Z digest=sha256:22b950662e3cddf921104c087f1e04031bf19e779665af5c9fc95ebedabb28bd

Observation f1c12a3b-1081-4e42-9937-5e63cea2020c · outbound

This paper cites an unresolved cited work.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:58:10.119999Z

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=2026-08-07T10:58:09.747789Z digest=sha256:57e0eabecdc5d0997f463a3b79ea403c94b50f3fb52d4de51466a35f1e2aa12f

Observation 4ab56baf-f4bf-4295-a6d8-f48f5a26b9f0 · outbound

This paper cites Credit risk meets large language models: Building a risk indicator from loan descriptions in peer-to-peer lending.Available at SSRN 4979155.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Credit risk meets large language models: Building a risk indicator from loan descriptions in peer-to-peer lending.Available at SSRN 4979155

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.112035Z

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=2026-08-07T10:58:09.750217Z digest=sha256:c1772d5cfbd116772d99260d04598de629e751e5e9f0bf1517d7960fa829d3a3

Observation 2659c781-2d05-4750-8325-f8177923db46 · outbound

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

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Is ChatGPT a Financial Expert? Evaluating Language Models on Financial Natural Language Processing

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:09.752873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:58:09.752873Z digest=sha256:654ede13ab26f0d281e9f300e9ee4250e0acae106a9a1ff66c060d2f3bdf1797

Observation 22cbc49d-77f8-4ec0-b0a0-3c8054085c22 · outbound

This paper cites Beyond black-box ai: A theory of interpretable transformers for asset pricing.Available at SSRN, 2025.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Beyond black-box ai: A theory of interpretable transformers for asset pricing.Available at SSRN, 2025

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.104172Z

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=2026-08-07T10:58:09.755861Z digest=sha256:73cb61815906c93d5661304795417287b37a17a6b59abbf4aeaa297ce2af0899

Observation 3db8d810-4086-42c9-ad81-f59a23f5091e · outbound

This paper cites Enhancing financial sentiment analysis via retrieval augmented large language models.

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy Enhancing financial sentiment analysis via retrieval augmented large language models

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:58:10.095647Z

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=2026-08-07T10:58:09.758745Z digest=sha256:098e591fdf271fcf15912542364de3f1a17938deb372c9136a63347467e38097

Pith citing papers

No inbound Pith citation observations are available.