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Paper Citation Record · LEDGER

Understanding and Mitigating Risks of Generative AI in Financial Services

As of 19 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2504.20086.

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pith.paper-citation-record.v1
2504.20086 v1

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Reference resolution

99 of 99 outbound references displayed

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Outbound references

Observation c69f4803-9b04-47cf-967e-7582ca8eb61d · outbound

This paper cites Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

Understanding and Mitigating Risks of Generative AI in Financial Services Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations

Reference 1

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Observation 739b1bba-5f1e-4336-9acd-4c27ad836006 · outbound

This paper cites Discussing ethical considerations and solutions for ensuring fairness in ai-driven financial services.

Understanding and Mitigating Risks of Generative AI in Financial Services Discussing ethical considerations and solutions for ensuring fairness in ai-driven financial services

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This paper cites Bowman , Ethan Perez, Roger Baker Grosse, and David Duvenaud.

Understanding and Mitigating Risks of Generative AI in Financial Services Bowman , Ethan Perez, Roger Baker Grosse, and David Duvenaud

Reference 3

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Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

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Understanding and Mitigating Risks of Generative AI in Financial Services Reg bi-relat ed changes to finra rules

Reference 5

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This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Understanding and Mitigating Risks of Generative AI in Financial Services Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 6

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Understanding and Mitigating Risks of Generative AI in Financial Services Constitutional AI: Harmlessness from AI Feedback

Reference 7

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Observation 9d3b2e9e-6875-459e-bed0-85b40915d6ee · outbound

This paper cites SR 23-4 Intera- gency Guidance on Third-Party Relationships: Risk Managem ent, 2023.

Understanding and Mitigating Risks of Generative AI in Financial Services SR 23-4 Intera- gency Guidance on Third-Party Relationships: Risk Managem ent, 2023

Reference 8

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Understanding and Mitigating Risks of Generative AI in Financial Services Annual performance plan 2025

Reference 9

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Understanding and Mitigating Risks of Generative AI in Financial Services On the Opportunities and Risks of Foundation Models

Reference 10

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This paper cites How a myster y trader with an algorithm may have caused the flash crash.

Understanding and Mitigating Risks of Generative AI in Financial Services How a myster y trader with an algorithm may have caused the flash crash

Reference 11

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This paper cites Explore, establish, exploit: Red teaming language models from scratch, 2024.

Understanding and Mitigating Risks of Generative AI in Financial Services Explore, establish, exploit: Red teaming language models from scratch, 2024

Reference 12

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This paper cites Remarks before the con ference on emerging trends in asset management.

Understanding and Mitigating Risks of Generative AI in Financial Services Remarks before the con ference on emerging trends in asset management

Reference 14

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Understanding and Mitigating Risks of Generative AI in Financial Services Academics can con tribute to domain-specialized language models

Reference 15

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Understanding and Mitigating Risks of Generative AI in Financial Services The Llama 3 Herd of Models

Reference 16

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Understanding and Mitigating Risks of Generative AI in Financial Services Meet the chairs leading the devel opment of the first general-purpose ai code of practice, September 202 4

Reference 17

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Understanding and Mitigating Risks of Generative AI in Financial Services Guidelines 9/2022 on p ersonal data breach notification under gdpr version 2.0, March 2023

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Understanding and Mitigating Risks of Generative AI in Financial Services The ESAs Ann ounce Timeline to Collect Information for the Desig- nation of Critical ICT Third-Party Service Providers under the Digital Operational Resilience Act, 2024

Reference 19

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Understanding and Mitigating Risks of Generative AI in Financial Services Rep ort on Digital Investment Advice, March 2016

Reference 20

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Reminds Firms of their Su- pervisory Obligations Related to Outsourcing to Third-Par ty V endors, 2021

Reference 22

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Reminds Members of Regulatory Obli- gations When Using Generative Artificial Intelligence and L arge Language Models, 2024

Reference 23

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Understanding and Mitigating Risks of Generative AI in Financial Services AI A pplications in the Securities Industry, 2025

Reference 24

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Rule 2210(d)(1): Communications with the Public,

Reference 25

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Understanding and Mitigating Risks of Generative AI in Financial Services FIN RA Rule 2210(a)-(b): Communications with the Public,

Reference 26

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Understanding and Mitigating Risks of Generative AI in Financial Services Final rule fact sheet: Beneficial ownership information access and safeguards, and use of finc en identifiers for entities

Reference 27

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Understanding and Mitigating Risks of Generative AI in Financial Services Finan cial crimes enforce- ment network: Anti-money laundering/countering the financ ing of terrorism

Reference 28

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Understanding and Mitigating Risks of Generative AI in Financial Services Definitions and general standards for communications with the public, incl uding categorization of communication types

Reference 29

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Understanding and Mitigating Risks of Generative AI in Financial Services Owasp top 10 for large language mo del applications, 2025

Reference 30

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Understanding and Mitigating Risks of Generative AI in Financial Services Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 31

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Understanding and Mitigating Risks of Generative AI in Financial Services Chatbots reset: A framework for g overn- ing responsible use of conversational ai in healthcare

Reference 32

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Understanding and Mitigating Risks of Generative AI in Financial Services Ginsburg and Luke Ali Budiardjo

Reference 33

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Understanding and Mitigating Risks of Generative AI in Financial Services Not what you’ve signed up for: Compromising real-world llm-int egrated applications with indirect prompt in- jection

Reference 34

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Understanding and Mitigating Risks of Generative AI in Financial Services AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 35

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Observation b3d692cf-79f3-4250-8f1a-4e4ee3f78e35 · outbound

This paper cites From chatgpt to threatgpt: Impact of generative ai in cybersecurity and p rivacy.

Understanding and Mitigating Risks of Generative AI in Financial Services From chatgpt to threatgpt: Impact of generative ai in cybersecurity and p rivacy

Reference 36

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Understanding and Mitigating Risks of Generative AI in Financial Services WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Reference 37

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This paper cites Systemic innovation and risk: techno logy assessment and the chal- lenge of responsible innovation.

Understanding and Mitigating Risks of Generative AI in Financial Services Systemic innovation and risk: techno logy assessment and the chal- lenge of responsible innovation

Reference 38

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Observation bedb858b-9285-41f6-8157-6dc512ee7ff2 · outbound

This paper cites Guan, Manas R.

Understanding and Mitigating Risks of Generative AI in Financial Services Guan, Manas R

Reference 39

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source=pdf_text observed=2026-08-16T10:19:10.433407Z digest=sha256:24f7ab23465a26dccf0a908dde2701b35365a0cd1a5c3d2b2b88195cd554345d

Observation dbc8d00f-473a-4114-8640-3a6447d2df06 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Understanding and Mitigating Risks of Generative AI in Financial Services Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 40

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source=pdf_text observed=2026-08-16T10:19:10.453740Z digest=sha256:70eb7f6f5f8fcf805bbfb678bede9b6c2d7a9c83ad7d7d70438aee9ec4ea65ec

Observation 419de68d-16ab-4a36-a1b1-34c55b6b855a · outbound

This paper cites Sell side vs buy side: What’s the difference?, May 2024.

Understanding and Mitigating Risks of Generative AI in Financial Services Sell side vs buy side: What’s the difference?, May 2024

Reference 41

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source=pdf_text observed=2026-08-16T10:19:10.458022Z digest=sha256:62903fa00d6112d2edf15bedb543b0f48c29265f8f022d2e0997ea740b7b3a92

Observation 9a74db23-87d2-4671-b176-1bdb88c4acba · outbound

This paper cites Challenges and Applications of Large Language Models.

Understanding and Mitigating Risks of Generative AI in Financial Services Challenges and Applications of Large Language Models

Reference 42

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source=pdf_text observed=2026-08-16T10:19:10.462095Z digest=sha256:fb69e4b403de0af7937634aac2daaf536afbc02b3e316bf7265225a2786f9b64

Observation 896b44c0-7e71-4c39-a696-9665f5d9136c · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 43

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Observation 7e0a70ea-11e4-418e-8c22-3c548e1552b1 · outbound

This paper cites A Hazard Analysis Framework for Code Synthesis Large Language Models.

Understanding and Mitigating Risks of Generative AI in Financial Services A Hazard Analysis Framework for Code Synthesis Large Language Models

Reference 44

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source=pdf_text observed=2026-08-16T10:19:10.471081Z digest=sha256:a01132da85d6718e9a8cb38bce3555d11f56332c582fadf1b8d66f0cae322976

Observation 4dd448fd-cbfe-4770-83f0-56554ca3ad1c · outbound

This paper cites Regulating bot speech.

Understanding and Mitigating Risks of Generative AI in Financial Services Regulating bot speech

Reference 45

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.475807Z digest=sha256:9f162ca966bd57304d14ef20e9f917b9d97e05d0558b63f2b61c862a106003d3

Observation 53d962b1-9677-440f-9b11-32dd34ac9483 · outbound

This paper cites Engineering a safer world: Systems thinking applied to safe ty.

Understanding and Mitigating Risks of Generative AI in Financial Services Engineering a safer world: Systems thinking applied to safe ty

Reference 46

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.480879Z digest=sha256:3fe477e84aea95d2124d8bdcce864369ea58ff2635cb97af714ee7aec72bfad2

Observation cb18abbb-b71a-4622-9735-e8f8828d5490 · outbound

This paper cites Kaminski.

Understanding and Mitigating Risks of Generative AI in Financial Services Kaminski

Reference 47

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.466769Z digest=sha256:4a38e2fa67c9fe2d4cd86d9ddfe61b10d82c6b19376ccd78617f45f934b1213c

Observation 8785b914-ea53-42d6-9eca-154da97e13ba · outbound

This paper cites 31 cfr § 1023.320 - r eports by brokers or dealers in securities of suspicious transactions.

Understanding and Mitigating Risks of Generative AI in Financial Services 31 cfr § 1023.320 - r eports by brokers or dealers in securities of suspicious transactions

Reference 48

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.488578Z digest=sha256:39bff4d5533e3388a2202fc6ff4e2c2d3658a64f5fb297126901a6fac28466b8

Observation 9a7440c0-4f50-40f2-832e-6486e51bba9b · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Understanding and Mitigating Risks of Generative AI in Financial Services Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 49

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source=pdf_text observed=2026-08-16T10:19:10.492413Z digest=sha256:39aed01f2f5f2b4c73a805f9e83d73a18569ba1709bcc62738cb5a497ea82d61

Observation ae1d27e0-db97-4e4c-9366-00dfdd06fcfe · outbound

This paper cites A Holistic Approach to Undesired Content Detection in the Real World.

Understanding and Mitigating Risks of Generative AI in Financial Services A Holistic Approach to Undesired Content Detection in the Real World

Reference 50

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source=pdf_text observed=2026-08-16T10:19:10.496545Z digest=sha256:47204945b822ac0caa5943363f18ca7cbae2e87503d52cf265f942339adc9b71

Observation 736cdec4-e9f5-45e6-9200-2cda70c1f3c5 · outbound

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

Understanding and Mitigating Risks of Generative AI in Financial Services Large language models in finance: A survey

Reference 51

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Observation 5afa4e0e-fae2-4f17-aff8-cd2bad934eb3 · outbound

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

Understanding and Mitigating Risks of Generative AI in Financial Services A Survey of Large Language Models for Financial Applications: Progress, Prospects and Challenges

Reference 52

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source=pdf_text observed=2026-08-16T10:19:10.508186Z digest=sha256:0306e16d0147379d214c4fcee01d43d361e9c558d1202cb37200654239c78356

Observation 4bd609f0-4210-4cda-ae11-23fcd2af9fd1 · outbound

This paper cites Stocktaking for the development of an ai incident defini- tion.

Understanding and Mitigating Risks of Generative AI in Financial Services Stocktaking for the development of an ai incident defini- tion

Reference 53

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source=pdf_text observed=2026-08-16T10:19:10.512867Z digest=sha256:2ebd66a27e289577a8ba718b3fc1a988532b3d0d78ec8b1230ebfc500545961c

Observation 7274bb31-1592-4b6d-a7b1-a24fa5314456 · outbound

This paper cites Defining ai incidents and related terms.

Understanding and Mitigating Risks of Generative AI in Financial Services Defining ai incidents and related terms

Reference 54

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.516994Z digest=sha256:a39ab25faf936e58ee6605e739804fb2b08094561d2f137e70ad441baa0468ef

Observation 7a069109-377d-4571-b0b7-c8cbb97755d5 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Understanding and Mitigating Risks of Generative AI in Financial Services Gemma: Open Models Based on Gemini Research and Technology

Reference 55

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source=pdf_text observed=2026-08-16T10:19:10.500497Z digest=sha256:e340c9abe7fc19495f2ee19cc3acd40873cf8ddfb6597094c437b544496a07c1

Observation 99db4ed1-55f3-43b7-939e-323149029f75 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-16T10:19:10.524928Z digest=sha256:0c180c7c4ba977ace24dff5a6f69fa87df87e376a4de0c0f628b137826cd24f2

Observation 11fc6745-416f-4523-877e-cf715b0cf26f · outbound

This paper cites Gaps in the safety evaluation of gener- ative ai.

Understanding and Mitigating Risks of Generative AI in Financial Services Gaps in the safety evaluation of gener- ative ai

Reference 57

Resolution
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source=pdf_text observed=2026-08-16T10:19:10.529126Z digest=sha256:01c0c30252aba2d5e4b7f4e72380e2c5731070174fea2571d6f3284887b72aca

Observation 5bbaf776-5e51-4957-b716-0c0a0b14838d · outbound

This paper cites Responsible innovation.

Understanding and Mitigating Risks of Generative AI in Financial Services Responsible innovation

Reference 58

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.533568Z digest=sha256:d98d923126b4fe48c454533047e9f28a0c7b4a8ecc3ab8a3dcfe29c41e763cb8

Observation 0f75e28c-cb4a-45ba-a4df-a034ca9f5db1 · outbound

This paper cites Ai in the financial sector: The line between innov ation, regulation and ethical responsibility.

Understanding and Mitigating Risks of Generative AI in Financial Services Ai in the financial sector: The line between innov ation, regulation and ethical responsibility

Reference 59

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.537841Z digest=sha256:c218e1a99a6ca93004524e623ff1fc629cee12f4b2ac82c5ca665e315cde1a24

Observation 0d49ef5e-959e-4d1d-9825-87e813e6e5bf · outbound

This paper cites Artifi cial intelligence risk management framework (ai rmf 1.0), 2023.

Understanding and Mitigating Risks of Generative AI in Financial Services Artifi cial intelligence risk management framework (ai rmf 1.0), 2023

Reference 60

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.521038Z digest=sha256:a4ab8ff94e50fb5b9dadfe0f2cd21663cdd0533d1af08ad0355d92b7d6fb800c

Observation 55c7ac80-3d33-436a-ad8c-a1fe9cf8932f · outbound

This paper cites Beware the gap: governance arrangements in the face of ai innovation.

Understanding and Mitigating Risks of Generative AI in Financial Services Beware the gap: governance arrangements in the face of ai innovation

Reference 61

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ce5a98f4-79e1-4e51-9a5c-993bb07e2d42 · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 62

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.551079Z digest=sha256:2e0a61fab525df0361a20074e861fe0c795414fd2be99f3b0b3f3ac55a0e25eb

Observation bd43b729-f8b5-408f-864b-d6db08f9d188 · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 63

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.554656Z digest=sha256:6eaf0e0e04c73e1a1a9e40aaf9194240db23f3694d7964b83732188444bf3f19

Observation 1112810e-193a-47fa-91ae-739443af87b9 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 64

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.558068Z digest=sha256:9ef2688eec5cea0ac831cc168dc0b2cdd9b074b4cb3e407321cb9d770a2f92ff

Observation d1b9ea16-1886-4b4c-925c-989fd95649e0 · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Understanding and Mitigating Risks of Generative AI in Financial Services Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 65

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.542203Z digest=sha256:0e63f5a3c6636691dbcda98e96da156b80d89f64c3327681ca12d6a3a1be9f24

Observation 6ba09310-e18b-47df-ac00-c405cdfaa9fa · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 66

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 499155ef-3b87-41d4-a90e-115d88c195cb · outbound

This paper cites Selbst, Danah Boyd, Sorelle A.

Understanding and Mitigating Risks of Generative AI in Financial Services Selbst, Danah Boyd, Sorelle A

Reference 67

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f9dcce1d-4b61-42e1-ba64-600ba1302714 · outbound

This paper cites Sociotechnical harms of algo- rithmic systems: Scoping a taxonomy for harm reduction.

Understanding and Mitigating Risks of Generative AI in Financial Services Sociotechnical harms of algo- rithmic systems: Scoping a taxonomy for harm reduction

Reference 68

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source=pdf_text observed=2026-08-16T10:19:10.572444Z digest=sha256:454c60ea9d4a705e2c809f8d3db06e4df5b67ac4e96d812cde44ebb803427712

Observation 0d03b0e5-4e34-441b-bdf5-c4ad5266bfe0 · outbound

This paper cites Model evaluation for extreme risks.

Understanding and Mitigating Risks of Generative AI in Financial Services Model evaluation for extreme risks

Reference 69

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source=pdf_text observed=2026-08-16T10:19:10.576400Z digest=sha256:799eb53dc2d5a8a89db22ba0cb65ccc594106243aefbe2bacd719716c8a991cd

Observation 8370cd58-2ccd-4a53-bc5b-53d35dc614f0 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 70

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.561786Z digest=sha256:e542720abf5c9777ef5847d075b1f9699cb7cfed69b10e96d782bd9734348476

Observation 6bf0c4a8-f809-4124-91f8-699d66f46a3b · outbound

This paper cites Evaluating the Social Impact of Generative AI Systems in Systems and Society.

Understanding and Mitigating Risks of Generative AI in Financial Services Evaluating the Social Impact of Generative AI Systems in Systems and Society

Reference 71

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source=pdf_text observed=2026-08-16T10:19:10.583863Z digest=sha256:25f8df0dd087e7a181ec3832d55e3874ebd492e5eb1789307969755ed9113a30

Observation 834a31f6-29c8-445f-aa1b-28af465fa0ec · outbound

This paper cites Regulation of investment advisers by the sec, Mar ch 2013.

Understanding and Mitigating Risks of Generative AI in Financial Services Regulation of investment advisers by the sec, Mar ch 2013

Reference 72

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.588177Z digest=sha256:0b9b72e1f8395f0823afd994069827293529ec696761f4c99068ca1cc2705b65

Observation d6a4ea32-cca8-49d2-a590-7250fade631c · outbound

This paper cites Devel oping a framework for responsible in- novation*.

Understanding and Mitigating Risks of Generative AI in Financial Services Devel oping a framework for responsible in- novation*

Reference 73

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verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.514962Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.592109Z digest=sha256:96c2c0120fdff2ef2bf1ca1718082e06198b8a0b5191e1e14fa87a5a48e7cc9a

Observation 3fc47fe3-3657-430c-a33b-4b78160bd160 · outbound

This paper cites Ai ethics and systemic risks in fina nce.

Understanding and Mitigating Risks of Generative AI in Financial Services Ai ethics and systemic risks in fina nce

Reference 74

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raw_fallback, observed 2026-08-16T10:19:11.502320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.595727Z digest=sha256:2f1110b4cd4208b6e1ea9fdcce45cba3cb0815283fc3f9672f2cc25e785802e3

Observation ceb391e0-28db-4df3-bd66-6bdc0b2c1687 · outbound

This paper cites Process for adapt ing language models to society (P ALMS) with values-targeted datasets.

Understanding and Mitigating Risks of Generative AI in Financial Services Process for adapt ing language models to society (P ALMS) with values-targeted datasets

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.540435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.580228Z digest=sha256:5934bb4cc93d9988adb4b9d5274545fe7408d3e5dc4bc16550cd7514b3de6ea1

Observation 377e81d5-726b-40a0-b13b-322061901284 · outbound

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

Understanding and Mitigating Risks of Generative AI in Financial Services LLaMA: Open and Efficient Foundation Language Models

Reference 76

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no resolver link, observed 2026-08-16T10:19:10.603467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.603467Z digest=sha256:98a5b57eb4eb9c108342066c3cba0b212079b8e4eb2c75322fdf18edb58d6e0d

Observation f004c797-e8f7-4247-b256-2476ac4ebe93 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Understanding and Mitigating Risks of Generative AI in Financial Services Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 77

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.608070Z digest=sha256:8297e7d66c4f1e75f33dd500e1efacf8135cbd0e8760580e74e850615544c200

Observation 395d68ba-d97a-4a09-9a56-ab36e24ab42c · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.474519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.612171Z digest=sha256:415a3e68486b1683cbd3fa1d42e9767bccef533e3d2237674a9e78b7643de00d

Observation d6b124bd-1734-4c01-88b5-ea7c6c64c62d · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.458143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.615765Z digest=sha256:b5d1c4ccb268f7c1ba058a537947146fc43cbc5790e0692de2d06464bba5539d

Observation a1fef46a-4912-478a-aef8-ab6a6c1178f7 · outbound

This paper cites Lessons from red teaming 100 gene rative ai products, 2025.

Understanding and Mitigating Risks of Generative AI in Financial Services Lessons from red teaming 100 gene rative ai products, 2025

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.489083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.599631Z digest=sha256:8a8c1da03a1bc1c1fb389239f3d611f37373886df56dc03ec457c4c5421c8da2

Observation c470a45f-e928-4103-8c60-553e68bbdb5d · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.428643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.624353Z digest=sha256:35ccf34f107b40fd80702459e38d5f8cce14995bff9357b5e820038119ce954e

Observation 70bfffde-4e31-42ea-9913-77471e91cb67 · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.414294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.628593Z digest=sha256:f72e24825b025de6910ad183f3c653f423c1ca106789a713aeb7598ca458c2d3

Observation 52583306-c714-4c04-bf0b-d616fcac4dc4 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.400272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.632812Z digest=sha256:1a477e33f26b9e7fffd655936571db2be7462ab564df5babc4d5d91297ef7fee

Observation 50562b47-a8c5-4f58-9739-85071edce185 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.385549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.636924Z digest=sha256:240e5137853414ef9468d88c5a2b5ef5ee48f3350bb34a035eeab9b4884577fe

Observation f041aee4-98ef-40eb-938f-de4ec7e363df · outbound

This paper cites Securities and Exchange Commission.

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.443269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.619872Z digest=sha256:c535b3f5be39ff963dd417cfa722cc5bdc0459e01aa8deb4bc6f6bccf0d30b43

Observation 27dd3b15-2888-42d0-b754-767239397de3 · outbound

This paper cites Operationalizing a threat model for red-teaming large language models (llms).

Understanding and Mitigating Risks of Generative AI in Financial Services Operationalizing a threat model for red-teaming large language models (llms)

Reference 86

Resolution
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no resolver link, observed 2026-08-16T10:19:10.645698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.645698Z digest=sha256:9bce62de2dbed22a0e5511329cff4b9ddb82943e4d4020ffa9c7ec6feb95db2c

Observation 5d9c669d-88a2-4ab6-b040-5600fbb75b70 · outbound

This paper cites Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Understanding and Mitigating Risks of Generative AI in Financial Services Introducing v0.5 of the AI Safety Benchmark from MLCommons

Reference 87

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no resolver link, observed 2026-08-16T10:19:10.649842Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T10:19:10.649842Z digest=sha256:a0975aac3b50620b68eff70afcb191c684cff6b17a20ef815e0b827ecc4cee32

Observation 83fc220b-85a1-4ad9-8152-0f4465d576dc · outbound

This paper cites Risk society revisited: Theory, polit ics and research programmes.

Understanding and Mitigating Risks of Generative AI in Financial Services Risk society revisited: Theory, polit ics and research programmes

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.356092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.654847Z digest=sha256:056eb52a0a59dd1c9dcbca7f8393820577a69c5fe9898546f1be1ba3b117f100

Observation 2eea336d-983b-4997-8054-6a9a1dc73809 · outbound

This paper cites STAND-Guard: A Small Task-Adaptive Content Moderation Model.

Understanding and Mitigating Risks of Generative AI in Financial Services STAND-Guard: A Small Task-Adaptive Content Moderation Model

Reference 89

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T10:19:10.658430Z digest=sha256:97915f2eb683b368f9e3fd9835dcb4c1abf8d63d85abd941178e889616de04d4

Observation 71b3d5ad-846f-4cd2-a43c-37fd67b7e154 · outbound

This paper cites Securities and Exchange Commission (SEC).

Understanding and Mitigating Risks of Generative AI in Financial Services Securities and Exchange Commission (SEC)

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.370079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.641417Z digest=sha256:6f97dfcdc73d83658b995b739615ea474676beeef9c83b8090da23143b77ff2b

Observation 9dc04d45-3be3-4b78-bee4-635815c5f0dc · outbound

This paper cites Ethical and social risks of harm from Language Models.

Understanding and Mitigating Risks of Generative AI in Financial Services Ethical and social risks of harm from Language Models

Reference 91

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no resolver link, observed 2026-08-16T10:19:10.665497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.665497Z digest=sha256:334b5cd2f5f47a82ef479d0fd4e65e10535adab090c59fc4461d3d620e89b922

Observation a7bb3a5f-3a33-4c36-9547-c69d2d051342 · outbound

This paper cites Sociotechnical Safety Evaluation of Generative AI Systems.

Understanding and Mitigating Risks of Generative AI in Financial Services Sociotechnical Safety Evaluation of Generative AI Systems

Reference 92

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no resolver link, observed 2026-08-16T10:19:10.669245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.669245Z digest=sha256:fea260ee05aa883e66905ee2a965e9b351abe07bcbdc0dc85ba0b67a0cf67540

Observation ab0e0de5-8bef-43d9-bb60-5faa37dcba8b · outbound

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

Understanding and Mitigating Risks of Generative AI in Financial Services BloombergGPT: A Large Language Model for Finance

Reference 93

Resolution
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no resolver link, observed 2026-08-16T10:19:10.673689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.673689Z digest=sha256:578d798856c780c4514dac87a9ae56c62509a9e2cfeb9e7ca723e87ece9ee505

Observation 2e2a745a-d8c1-4479-8d57-b67787a2d89b · outbound

This paper cites F inGPT: Open-source financial large language mod- els.

Understanding and Mitigating Risks of Generative AI in Financial Services F inGPT: Open-source financial large language mod- els

Reference 94

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no resolver link, observed 2026-08-16T10:19:10.677580Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T10:19:10.677580Z digest=sha256:79c0c313a14a54ed6b7a8f930c2a311207d8960a8d0930ddf0752ac8fb5bbd79

Observation 9a405297-5f17-4889-a863-d7f9340c9cd6 · outbound

This paper cites Do-not-answer: Evaluating safe- guards in LLMs.

Understanding and Mitigating Risks of Generative AI in Financial Services Do-not-answer: Evaluating safe- guards in LLMs

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.342951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.662096Z digest=sha256:6dc72fbe1068ac5f87e909f4ff8d8caf5dfeafbf19401874a190a9d4bddd1b0a

Observation f9e1ef7f-6fac-4dee-bf8e-581bcfb2a707 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Understanding and Mitigating Risks of Generative AI in Financial Services ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 96

Resolution
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no resolver link, observed 2026-08-16T10:19:10.684777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.684777Z digest=sha256:884dbf906054e7303d05530a5b7c9d231157a4357fd8f43fe997016cb7512da2

Observation 71f52e37-6b29-4ead-a093-6c32908639dc · outbound

This paper cites RigorLLM: Resilient guardrails for large language models against undesired con tent.

Understanding and Mitigating Risks of Generative AI in Financial Services RigorLLM: Resilient guardrails for large language models against undesired con tent

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:19:11.329627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.681185Z digest=sha256:ae5e140c9f2dccbe531f3b062200afd4690daa7e174512287e07335fb2566e4c

Observation 2cf149c9-f332-4449-954f-a8b131cf93af · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 2018

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unresolved
raw_fallback, observed 2026-08-16T10:19:11.879147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.425942Z digest=sha256:66bd3e9ce4237b769759a2e776738dae476bc9b16d97d69e5e5c2e37be7b807d

Observation 22c9e370-c8ba-4f7a-ae2c-6e1281782cae · outbound

This paper cites Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling.

Understanding and Mitigating Risks of Generative AI in Financial Services Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling

Reference 2021

Resolution
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no resolver link, observed 2026-08-16T10:19:10.333705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.333705Z digest=sha256:fe409d645e2f6f15590e48309c0882294716b3ce9cac630360292315e3274b4a

Observation e92432e0-daf7-48e9-9586-b5becd6323bd · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Risks of Generative AI in Financial Services Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-16T10:19:11.726111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:19:10.504422Z digest=sha256:be70c829c2a6bdfc97243ec86dfeeee3175e18794f7a0e342e79930e10e5e9b8

Observation 898c7fb0-d64d-40d3-abda-f2ef32b13839 · outbound

This paper cites Regulations for communications with the public, covering content standard s for broker-dealers.

Understanding and Mitigating Risks of Generative AI in Financial Services Regulations for communications with the public, covering content standard s for broker-dealers

Reference 2025

Resolution
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no resolver link, observed 2026-08-16T10:19:10.388276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:19:10.388276Z digest=sha256:4657090ce08588a337eca14de93817377ac8dc2322c6a5c02c20518dacbd1b48

Pith citing papers

No inbound Pith citation observations are available.