Paper Citation Record · LEDGER

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations

As of 22 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2506.11635.

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

pith.paper-citation-record.v1
2506.11635 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:08:12.909137Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:06:19.069283Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:25:50.099022Z

Reference resolution

57 of 57 outbound references displayed

verified exact1
verified fuzzy46
unresolved8
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ad45304-87df-4055-88c9-fdd770cc4b87 · outbound

This paper cites Understanding credit card frauds,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Understanding credit card frauds,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.897518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4631ea8-eac2-4ddf-a8ef-295e6302d41c · outbound

This paper cites Identity fraud victimization: a critical review of the literature of the past two decades,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Identity fraud victimization: a critical review of the literature of the past two decades,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.882946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 184b37c5-896b-4a1f-ad0e-cea3f7b97ce1 · outbound

This paper cites Credit card fraud: aware- ness and prevention,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Credit card fraud: aware- ness and prevention,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.867099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 53545eac-41c2-4643-bd84-84d17c030b2a · outbound

This paper cites Man-in-the-middle attack on contactless payment over nfc communications: design, implementation, experiments and detection,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Man-in-the-middle attack on contactless payment over nfc communications: design, implementation, experiments and detection,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.852833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b2c39af-25a0-4582-ac69-7b650c0c998d · outbound

This paper cites Data breaches: What the underground world of.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Data breaches: What the underground world of

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.837684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68f5ddeb-e1c7-4ae6-a41d-c58807a8982f · outbound

This paper cites Identity theft, malware, and social engineering in dealing with cybercrime,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Identity theft, malware, and social engineering in dealing with cybercrime,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.821432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96cf01bc-f0f6-409b-82b2-da4bb87e68fb · outbound

This paper cites Payment card fraud losses reach 32.34 billion,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Payment card fraud losses reach 32.34 billion,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.805768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd52e7db-041c-402f-bcac-3b603beb0a06 · outbound

This paper cites Effective detection of sophisticated online banking fraud on extremely imbalanced data,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Effective detection of sophisticated online banking fraud on extremely imbalanced data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.790105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9962f895-45f9-4b44-bd60-88c20c32a849 · outbound

This paper cites Fintech forensics: Criminal investigation and digital evidence in financial technologies,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Fintech forensics: Criminal investigation and digital evidence in financial technologies,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.773927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1a9c7741-9e37-4c6e-ad9d-88bb23124a40 · outbound

This paper cites Digital forensic research: current state of the art,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Digital forensic research: current state of the art,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.759580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 466b4d27-4c67-48c6-85f8-2b330383c0cb · outbound

This paper cites An examination of digital forensic models,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations An examination of digital forensic models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.745283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 59270b2c-07cd-4f7b-962a-43edb90944e3 · outbound

This paper cites The investigation team and their roles: The important role of investigation team,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations The investigation team and their roles: The important role of investigation team,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.730895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7246cefe-ddae-4eab-b826-1157e25924c4 · outbound

This paper cites Credit card fraud detection: A realistic modeling and a novel learn- ing strategy,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Credit card fraud detection: A realistic modeling and a novel learn- ing strategy,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.715604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 15af9897-ffff-4941-9c32-97a10ad74a8a · outbound

This paper cites Exploring llm-based agents for root cause analysis,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Exploring llm-based agents for root cause analysis,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.727236Z

Source-reported events for the cited work

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Observation d7e0248c-1d6d-480f-87c4-61336ae861bd · outbound

This paper cites Automatic root cause analysis via large lan- guage models for cloud incidents,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Automatic root cause analysis via large lan- guage models for cloud incidents,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.689941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c17114b4-78bf-4e8b-b611-4b1a77515a75 · outbound

This paper cites Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.735634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e513c37-5d2a-4242-b78a-27ebb49e86a8 · outbound

This paper cites A framework for llm- assisted smart policing system,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations A framework for llm- assisted smart policing system,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.676672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa6d68d7-68a5-4160-828f-7d79680fa428 · outbound

This paper cites Sparkov data generation,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Sparkov data generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.663188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f29122aa-2178-40eb-8d36-5ceae860eeb0 · outbound

This paper cites Credit card transactions,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Credit card transactions,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.649470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 864c3f0d-ec7e-4c45-a46e-bac4b6aaa7de · outbound

This paper cites Graph neural network for fraud detection via spatial-temporal attention,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Graph neural network for fraud detection via spatial-temporal attention,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.635537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dbfaaf29-56fe-4271-9799-cf5701da8a5c · outbound

This paper cites Rule-based credit card fraud detection using user’s keystroke behavior,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Rule-based credit card fraud detection using user’s keystroke behavior,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.621070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b3ed696-b4d6-4758-aad4-0f889125cdd2 · outbound

This paper cites Fraud detection of credit card payment system by genetic algorithm,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Fraud detection of credit card payment system by genetic algorithm,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.606622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06a7b1f9-44dc-44a2-a0ee-83598469bf10 · outbound

This paper cites Credit card fraud detection in the era of disruptive tech- nologies: A systematic review,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Credit card fraud detection in the era of disruptive tech- nologies: A systematic review,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.592022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9e5efd90-cef8-47d6-82ae-7c36309bc765 · outbound

This paper cites Performance evaluation of machine learning methods for credit card fraud detection using smote and adaboost,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Performance evaluation of machine learning methods for credit card fraud detection using smote and adaboost,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.577939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 74dc8af7-7128-4a5b-bb10-335bf1feca56 · outbound

This paper cites A machine learning based credit card fraud detection using the ga algorithm for feature selection,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations A machine learning based credit card fraud detection using the ga algorithm for feature selection,

Reference 25

Resolution: verified exact; doi, observed 2026-08-07T04:08:12.950705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89d528d6-49c1-4cbb-b11f-cd8de151102e · outbound

This paper cites Semi-supervised credit card fraud detection via attribute- driven graph representation,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Semi-supervised credit card fraud detection via attribute- driven graph representation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.563527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3b1f9387-0c34-4238-a0bc-a8ccc9954baf · outbound

This paper cites Enhancing credit card fraud detection through advanced ensemble learning tech- niques and deep learning integration,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Enhancing credit card fraud detection through advanced ensemble learning tech- niques and deep learning integration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.549502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f70cab83-e1df-4956-a4f0-fdc8424d1d1a · outbound

This paper cites Identifying fraudulent credit card transactions using ensemble learning,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Identifying fraudulent credit card transactions using ensemble learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.535299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 46445fb5-805d-426e-b584-7d221ec6ac78 · outbound

This paper cites Explainable ai: current status and future directions,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Explainable ai: current status and future directions,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.520479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8b38a493-e3fd-4722-8646-703d32e9c054 · outbound

This paper cites xfraud: explainable fraud transaction detection,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations xfraud: explainable fraud transaction detection,

Reference 30

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T04:08:13.169253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 502e80c0-1dff-4189-ad82-f595dafc2763 · outbound

This paper cites Heterogeneous graph trans- former,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Heterogeneous graph trans- former,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.506161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a432312c-7fd7-4e7e-95c2-c8b1b0009b45 · outbound

This paper cites Gnnex- plainer: Generating explanations for graph neural networks,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Gnnex- plainer: Generating explanations for graph neural networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.492078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73ee7fa4-093b-4ad6-862f-8dc399495821 · outbound

This paper cites of Certified Fraud Examiners, Fraud Examiners Manual.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations of Certified Fraud Examiners, Fraud Examiners Manual

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.479133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8962128e-9521-4de2-a469-ff1757c34de7 · outbound

This paper cites Credit card fraud investigation: How it works & why it’s important,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Credit card fraud investigation: How it works & why it’s important,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.465545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b83cd02-82a3-4fd5-b4a7-3a4769addc65 · outbound

This paper cites an unresolved cited work.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation be50c3b7-195f-43df-a793-b9cdd9946197 · outbound

This paper cites Investigation report example: How to write an investigative report,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Investigation report example: How to write an investigative report,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.437646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e1ada67-fa1f-4b8d-9859-8673501307bc · outbound

This paper cites A framework for integrated digital forensic investigation employing autogen ai agents,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations A framework for integrated digital forensic investigation employing autogen ai agents,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.422890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a72e13d9-3e15-424b-b6bb-4276f63a4fae · outbound

This paper cites An llm- driven approach to gain cybercrime insights with evidence networks,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations An llm- driven approach to gain cybercrime insights with evidence networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.407981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71d65764-00ac-444e-bbc6-828cf70713ba · outbound

This paper cites Chatids: Explainable cybersecurity using generative ai,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Chatids: Explainable cybersecurity using generative ai,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.393850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5879a405-2825-4be3-b9e4-0239d0a603b3 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Unleashing the potential of prompt engineering for large language models

Reference 40

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Source-reported events for the cited work

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Observation 528c37e0-af76-46a1-be7a-59d1a581e7fd · outbound

This paper cites How to conduct an effective fraud in- vestigation: Your complete guide,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations How to conduct an effective fraud in- vestigation: Your complete guide,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.379591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29b717c7-bac2-4f33-a473-c32ce4ecc3b1 · outbound

This paper cites Openai assistants overview,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Openai assistants overview,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.366176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6c8d69df-3325-4248-9617-efcd4183c2a7 · outbound

This paper cites Available: https://platform.openai.com/docs/assistants/ overview.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Available: https://platform.openai.com/docs/assistants/ overview

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.351439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac8b37ec-be56-445a-b805-47cd1cca4266 · outbound

This paper cites Hello gpt-4o,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Hello gpt-4o,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.336822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7bfe925c-6019-4028-98dd-62301032ee61 · outbound

This paper cites Elephants Never Forget: Testing Language Models for Memorization of Tabular Data.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Elephants Never Forget: Testing Language Models for Memorization of Tabular Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.859306Z

Source-reported events for the cited work

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Observation 194bb9e8-a866-4bf0-844b-b1a5e77e81b9 · outbound

This paper cites Towards Optimizing the Costs of LLM Usage.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Towards Optimizing the Costs of LLM Usage

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.863632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acfeb142-7631-4622-9230-4748eb977aa8 · outbound

This paper cites Gptcache: An open-source semantic cache for llm appli- cations enabling faster answers and cost savings,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Gptcache: An open-source semantic cache for llm appli- cations enabling faster answers and cost savings,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.321377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8ee36174-92ea-4362-a257-d4b9ca289102 · outbound

This paper cites Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.871385Z

Source-reported events for the cited work

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Observation 32e7ed8e-d915-42cb-ba67-e90960d81bb9 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations RouteLLM: Learning to Route LLMs with Preference Data

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:08:12.875511Z

Source-reported events for the cited work

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Observation 44e2cc1b-58d2-4f4b-b663-b5faddd29357 · outbound

This paper cites tiktoken,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations tiktoken,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.306412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ff4a277-672c-4d98-8913-621b4a2d2661 · outbound

This paper cites Enhancing credit card fraud detection through advanced ensemble learning techniques and deep learning integration.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Enhancing credit card fraud detection through advanced ensemble learning techniques and deep learning integration

Reference 51

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Observation 35a8d1f3-95af-465e-a01d-a3bc0a652d26 · outbound

This paper cites Identifying fraudulent credit card transactions using ensemble learning,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Identifying fraudulent credit card transactions using ensemble learning,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.277061Z

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Observation 041594aa-338a-43ba-897d-2b5f2bc841b3 · outbound

This paper cites Leveraging graph-based learning for credit card fraud detection: a comparative study of clas- sical, deep learning and graph-based approaches,.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Leveraging graph-based learning for credit card fraud detection: a comparative study of clas- sical, deep learning and graph-based approaches,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.262172Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 442bd267-4da4-47e4-9363-64a542f3344a · outbound

This paper cites This is the transaction number you need to investigate: trans_num (str): ’{trans_num}.’ Important: You must stop after each step of investigation! Listing 1.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations This is the transaction number you need to investigate: trans_num (str): ’{trans_num}.’ Important: You must stop after each step of investigation! Listing 1

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.247463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82c067ca-b4d9-4cfc-914e-d77549301c56 · outbound

This paper cites an unresolved cited work.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations Unresolved cited work

Reference 55

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Observation 63129447-a1e9-406b-9e1b-9c3205c2777f · outbound

This paper cites This may include creating a plot and retrieving relevant data.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations This may include creating a plot and retrieving relevant data

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.216825Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08599962-c824-40ae-bec4-772231bed909 · outbound

This paper cites report_evaluation.

FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations report_evaluation

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:08:13.201193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 6dbea0bd-92fe-499c-bcc2-91512a7d7880 · inbound

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs cites this paper.

What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations

Reference 129

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:25:50.100476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0808aa5f-557e-464c-90f2-40e3f6041d0a · inbound

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows cites this paper.

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows FAA Framework: A Large Language Model-Based Approach for Credit Card Fraud Investigations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T07:06:19.069283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.