Paper Citation Record · LEDGER

Advanced Real-Time Fraud Detection Using RAG-Based LLMs

As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 5 inbound Pith citation observations for arXiv:2501.15290.

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

pith.paper-citation-record.v1
2501.15290 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:28:34.716808Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:29:59.232773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:31:24.709073Z

Reference resolution

22 of 22 outbound references displayed

verified exact2
verified fuzzy16
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5650127b-b513-40fe-8121-2e97922862dd · outbound

This paper cites Mobile money fraud detection using data analysis and visualiza- tion techniques.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Mobile money fraud detection using data analysis and visualiza- tion techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.936851Z

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.

Observation 94bcc87f-778c-4e95-a8b4-7e0c8fedd6e8 · outbound

This paper cites Fraud loss survey.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Fraud loss survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.927450Z

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.

Observation 208d940f-204c-42c4-bb4e-142ab8b9d186 · outbound

This paper cites Fraud detection in telephone conversations for financial services using linguistic features.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Fraud detection in telephone conversations for financial services using linguistic features

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:28:35.104434Z

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.

Observation 7f263ed4-c558-416b-aa2e-9a6e728361ca · outbound

This paper cites Advancing anomaly detection: Non-semantic financial data encoding with llms.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Advancing anomaly detection: Non-semantic financial data encoding with llms

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:34.439826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514869eb-64c5-4805-98f2-859cc45e3daf · outbound

This paper cites Llms for explainable few-shot deception detection.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Llms for explainable few-shot deception detection

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.917852Z

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.

Observation ac504ba9-e966-4b02-86c3-391a40549a8c · outbound

This paper cites Discussion paper: Exploiting llms for scam automa- tion: A looming threat.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Discussion paper: Exploiting llms for scam automa- tion: A looming threat

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.650577Z

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.

Observation 8526b01d-2680-4c73-869c-44efac5c38a8 · outbound

This paper cites Telecommunication fraud resilient framework for effi- cient and accurate detection of sms phishing using ar- tificial intelligence techniques.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Telecommunication fraud resilient framework for effi- cient and accurate detection of sms phishing using ar- tificial intelligence techniques

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.594980Z

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.

Observation 04a94e87-ae0a-437d-98fb-fec05ece95a7 · outbound

This paper cites Detecting fraud 9 calls vis-à-vis natural language processing.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Detecting fraud 9 calls vis-à-vis natural language processing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.585194Z

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.

Observation 9bd41009-3114-4952-bc3a-352f53f3b80b · outbound

This paper cites Detecting Scams Using Large Language Models.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Detecting Scams Using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:34.460430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24f0b5f-d886-4ef1-86ec-418dee132bc0 · outbound

This paper cites Enhancing the interpretability and explain- ability of ai-driven risk models using llm capabilities.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Enhancing the interpretability and explain- ability of ai-driven risk models using llm capabilities

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.574553Z

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.

Observation 28ad1b9a-29c2-42ac-a536-1e1053705478 · outbound

This paper cites De- tection and analysis of fraud phone calls using artifi- cial intelligence.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs De- tection and analysis of fraud phone calls using artifi- cial intelligence

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.563380Z

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.

Observation b011d04b-c66d-49fe-ac13-548d783b7bbb · outbound

This paper cites Man-in-the-middle-attack: Understand- ing in simple words.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Man-in-the-middle-attack: Understand- ing in simple words

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.396779Z

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.

Observation ad894727-ddd3-416f-a9ed-1b76e98444d5 · outbound

This paper cites Dial one for scam: Analyzing and detecting tech- nical support scams.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Dial one for scam: Analyzing and detecting tech- nical support scams

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.319228Z

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.

Observation 373d76d9-8337-409f-bfcb-3a366b3ad279 · outbound

This paper cites Wangiri fraud: Pattern analysis and machine-learning-based de- tection.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Wangiri fraud: Pattern analysis and machine-learning-based de- tection

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.309526Z

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.

Observation 65c0a426-3620-4c2c-98b8-d6790e789c27 · outbound

This paper cites Fraud detection and gaas topics.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Fraud detection and gaas topics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.299183Z

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.

Observation 8800462a-ba0c-436e-84ee-88da6158683e · outbound

This paper cites Sok: Fraud in telephony networks.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Sok: Fraud in telephony networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.188182Z

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.

Observation a09fb956-5b22-4df8-8e42-a32e652e69be · outbound

This paper cites Nfa: A neural factorization autoencoder based online telephony fraud detection.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Nfa: A neural factorization autoencoder based online telephony fraud detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.178581Z

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.

Observation f292f4da-5a7e-4a0a-9da4-58fdf31ecba7 · outbound

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

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Ethical and social risks of harm from Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:34.701385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07988484-655d-4f85-bc1f-d881394cf101 · outbound

This paper cites An analysis of scam baiting calls: Identifying and extracting scam stages and scripts.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs An analysis of scam baiting calls: Identifying and extracting scam stages and scripts

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:28:34.912292Z

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.

Observation 7aba7e5b-6775-4067-9736-d7bd274aa1ef · outbound

This paper cites Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.168999Z

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.

Observation da20ed1d-9a54-4471-b5f9-a2c80196b168 · outbound

This paper cites Revolutionizing finance with llms: An overview of applications and insights.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Revolutionizing finance with llms: An overview of applications and insights

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T14:28:34.713811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052ac4e9-c5ba-4e14-848d-07be06fc62bb · outbound

This paper cites Detecting telecommunication fraud by understanding the contents of a call.

Advanced Real-Time Fraud Detection Using RAG-Based LLMs Detecting telecommunication fraud by understanding the contents of a call

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:28:35.158850Z

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.

Pith citing papers

Observation fccdfbfb-b391-4e83-b3f8-44348a26970b · inbound

Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection cites this paper.

Domain Knowledge-Enhanced LLMs for Fraud and Concept Drift Detection Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:29:59.232773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a94031-0554-4f4a-9030-cc3368ad33dd · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:31:24.712377Z

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.

Observation c91b92cf-beaa-4c41-b18b-7c379127c7f5 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Reference 121

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:21.064480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acadba21-1252-49ab-a875-83380db293fb · inbound

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection cites this paper.

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:01:17.943160Z

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.

Observation d3c6077c-0cb0-43a4-ba4d-3d203bc62f9f · 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 Advanced Real-Time Fraud Detection Using RAG-Based LLMs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T07:06:17.938720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.