Paper Citation Record · LEDGER

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection

As of 8 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2605.28524.

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

pith.paper-citation-record.v1
2605.28524 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T12:26:57.417913Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:58:49.057313Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

verified exact0
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef5635ee-5fcf-4d45-9ce0-61570ace5738 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection Adam: A Method for Stochastic Optimization

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T12:33:24.609184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 931aac91-ca8e-4cf5-b1ac-e31ad0f9f4c8 · outbound

This paper cites Julian John McAuley and Jure Leskovec.

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection Julian John McAuley and Jure Leskovec

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T12:26:57.417913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 800ac7d1-d9fc-42b5-a39c-c30d7f1bf7b0 · outbound

This paper cites InInternational Conference on Learning Representations.

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection InInternational Conference on Learning Representations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T12:26:57.417913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a773f25-ad6f-4b15-bf29-f1882138af12 · outbound

This paper cites an unresolved cited work.

Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T12:26:57.417913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8f1df6cd-f6fe-4baf-86d0-94168741c309 · inbound

Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation cites this paper.

Toward Auditable Fraud Detection: Combining Graph Features, Model Explanations, and Agentic Case Investigation Let Relations Speak: An End-to-End LLM-GNN Soft Prompt Framework for Fraud Detection

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T12:58:49.057313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.