Pith. sign in

Paper Citation Record · LEDGER

AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2301.07526.

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

pith.paper-citation-record.v1
2301.07526 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T04:28:58.482098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:05:58.920050Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04b0e92f-2d42-44a4-91b8-3dbfbc6187bd · inbound

Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection cites this paper.

Dialogue to Detection: A Multimodal Hybrid NLP Pipeline for Insurance Fraud Detection AutoFraudNet: A Multimodal Network to Detect Fraud in the Auto Insurance Industry

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:55:50.947492Z

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.

source=pdf_text observed=2026-06-29T04:28:58.482098Z digest=sha256:4cf408967e8aadaa048ef4e681247c0f0fd676c9e76b652e3d25be4946cf1353

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

DG^VoiC: Speaker Clustering for Fraud Investigation under Real Call-Centre Conditions cites this paper.

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.

source=pdf_text observed=2026-06-29T02:37:21.947280Z digest=sha256:d25327ad1d505fd600cf657e89da696394994fd182a501176733ce58a5201e0a