Paper Citation Record · LEDGER

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2606.28048.

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

pith.paper-citation-record.v1
2606.28048 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:37:21.947280Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

33 of 33 outbound references displayed

verified exact2
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a21f5f3-eccc-45b8-af72-73d7cf6339f0 · outbound

This paper cites Major new crackdown on insurance fraud,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Major new crackdown on insurance fraud,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06aed4c-090a-4ac1-97b3-8614289cfe10 · outbound

This paper cites Ifb’s 2024 annual report has been published,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Ifb’s 2024 annual report has been published,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 5a5c048c-c3b9-4a98-b5bd-f31ba1b0af81 · outbound

This paper cites Insurance topics — insurance fraud,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Insurance topics — insurance fraud,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

Source-reported events for the cited work

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Observation 1d81c60d-754f-4484-9789-2e97c9c95918 · outbound

This paper cites Insur- ance fraud detection: Evidence from artificial intelligence and machine learning,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Insur- ance fraud detection: Evidence from artificial intelligence and machine learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118d28fd-81cb-4610-8ad9-01fbb6591788 · outbound

This paper cites Financial fraud detection based on machine learning: A systematic literature review,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Financial fraud detection based on machine learning: A systematic literature review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Unavailable: canonical work link unavailable.

Observation 55ec45d5-0dbe-4ba8-8ba5-c49451af48ca · outbound

This paper cites Economic and social cost of fraud 2023 to 2024,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Economic and social cost of fraud 2023 to 2024,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Unavailable: canonical work link unavailable.

Observation 6dd9f063-6b34-458e-ac8e-095beea35369 · outbound

This paper cites Fraudulent insurance claims continue to top £1 billion,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Fraudulent insurance claims continue to top £1 billion,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a14217-1ae8-45c9-aedb-eec5de399927 · outbound

This paper cites Classification of transcribed voice recordings: Determining the claim type of recordings submitted by swedish insurance clients,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Classification of transcribed voice recordings: Determining the claim type of recordings submitted by swedish insurance clients,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bacac9b7-f515-4803-a4f5-bd697aa807db · outbound

This paper cites Detection of insurance fraud using nlp and ml: A study on three different nlp-techniques for text classification,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Detection of insurance fraud using nlp and ml: A study on three different nlp-techniques for text classification,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Unavailable: canonical work link unavailable.

Observation b3afd13c-a4e8-4917-ab6b-ff8643310898 · outbound

This paper cites Design of a nlp-empowered finance fraud awareness model: the anti-fraud chatbot for fraud detection and fraud classification as an instance,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Design of a nlp-empowered finance fraud awareness model: the anti-fraud chatbot for fraud detection and fraud classification as an instance,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 1cc640ab-fb8a-4a8b-9a88-9d96aca13f45 · outbound

This paper cites Enhancing claims handling processes with insurance based language models,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Enhancing claims handling processes with insurance based language models,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 7cb09127-f34d-4818-b7c9-1cc11edaf3cd · outbound

This paper cites Ai in insurance: Enhancing fraud detection and risk assessment,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Ai in insurance: Enhancing fraud detection and risk assessment,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 1e2dafee-8439-4ff2-a30e-97f86c3b2ece · outbound

This paper cites Ai in fraud detection: Leveraging machine learning to combat insurance fraud,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Ai in fraud detection: Leveraging machine learning to combat insurance fraud,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 330e29d5-baa1-4e33-8e52-3810c0dcc3b5 · outbound

This paper cites Innovative applications of ai and machine learning in fraud detection for insurance claims,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Innovative applications of ai and machine learning in fraud detection for insurance claims,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation f222bb02-bba7-4897-a155-d0f160009265 · outbound

This paper cites Practical guideline to efficiently detect insurance fraud in the era of machine learning: A household insurance case,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Practical guideline to efficiently detect insurance fraud in the era of machine learning: A household insurance case,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation f9537d4e-3028-42e0-ac63-55bfb9e3794b · outbound

This paper cites Auto insurance fraud detection with multimodal learning,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Auto insurance fraud detection with multimodal learning,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 1675a0ea-f569-428c-b7a2-cd8e72ba4864 · outbound

This paper cites AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:05:58.921601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 466faf86-56a0-4111-93e8-186e7b666477 · outbound

This paper cites Combating phone scams with llm-based detection: Where do we stand?.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Combating phone scams with llm-based detection: Where do we stand?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation e8de279a-6d00-47f9-930a-5eb43790449c · outbound

This paper cites Real-World En Call Center Transcripts Dataset with PII Redaction.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Real-World En Call Center Transcripts Dataset with PII Redaction

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:05:58.924173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f007e01e-d97e-40e7-a3c7-23d7cfe2d51c · outbound

This paper cites Families and households,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Families and households,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 35a0df06-cb0b-4f1b-8f0f-4e0a3ef8fe76 · outbound

This paper cites Whisperx: Time-accurate speech transcription of long-form audio,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Whisperx: Time-accurate speech transcription of long-form audio,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation c7c11db9-8a7e-4bf8-aa99-d5053e630ec3 · outbound

This paper cites Jean-baptiste/roberta-large-ner-english,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Jean-baptiste/roberta-large-ner-english,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 2e4b155b-d9f1-47cb-a3c8-ce679e5f1ac1 · outbound

This paper cites ECAPA-TDNN: emphasized channel attention, propagation and aggregation in TDNN based speaker verification,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions ECAPA-TDNN: emphasized channel attention, propagation and aggregation in TDNN based speaker verification,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation cf50895a-d200-4e8c-a381-92d3b8f284b1 · outbound

This paper cites Scikit-learn: Machine learning in Python,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Scikit-learn: Machine learning in Python,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 585d921f-2678-478a-bcdc-5a8cfd07533d · outbound

This paper cites Trustcaller-voice-based fraud prevention system,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Trustcaller-voice-based fraud prevention system,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation b7da3fdb-f3b1-48e5-8b47-a23844b6ae56 · outbound

This paper cites A multimodal voice phishing detection system integrating text and audio analysis,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions A multimodal voice phishing detection system integrating text and audio analysis,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 4c2fca71-741f-4b17-8dd7-2f1c95727114 · outbound

This paper cites Comparison of modern deep learning models for speaker verification,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Comparison of modern deep learning models for speaker verification,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 1f735074-f478-4293-a474-1d1cd7006274 · outbound

This paper cites A hybrid approach to secure automatic speaker verification: integrating clone detection and speaker identification,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions A hybrid approach to secure automatic speaker verification: integrating clone detection and speaker identification,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 6ec178f6-5469-4d5b-acb4-e67ccd093ff7 · outbound

This paper cites Probabilistic back-ends for online speaker recognition and clustering,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Probabilistic back-ends for online speaker recognition and clustering,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 43997a5f-4ed9-4958-a55e-6c66b581b550 · outbound

This paper cites Feature integration strategies for neural speaker diarization in conversational telephone speech,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Feature integration strategies for neural speaker diarization in conversational telephone speech,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 66498326-7ebe-452d-a1f8-8de0f8104360 · outbound

This paper cites An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions An experimental review of speaker diarization methods with application to two-speaker conversational telephone speech recordings,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 9e4620d7-6d4a-4f91-ac48-839bd8e58a63 · outbound

This paper cites Discussion paper: Ex- ploiting llms for scam automation: A looming threat,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Discussion paper: Ex- ploiting llms for scam automation: A looming threat,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Observation 2ab9de25-d341-4607-b3c0-1a22e6270e9f · outbound

This paper cites Identification of customer through voice biometric system in call centres,.

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions Identification of customer through voice biometric system in call centres,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T02:37:21.947280Z

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Pith citing papers

No inbound Pith citation observations are available.