Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.12904.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:15:19.154578Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T04:33:57.793875Z
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 5967f17a-7e92-468a-8ed1-74e2f00d83f3 · inbound
COMPKE: Complex Question Answering under Knowledge Editing cites this paper.
COMPKE: Complex Question Answering under Knowledge Editing Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:00:23.385065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47c352ea-c9fd-4ec8-aeec-8af44940afda · inbound
Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images cites this paper.
Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:43:35.808325Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7771e42-e03c-48d7-9b75-092d5901cee3 · inbound
The Compositional Architecture of Regret in Large Language Models cites this paper.
The Compositional Architecture of Regret in Large Language Models Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:59:45.829331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 58db1d10-d6fd-411f-97d7-51ba86297893 · 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 Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T22:01:17.949447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 443e0ec4-a0a6-405e-915d-7d13f9f2cc15 · inbound
The Anatomy of Conversational Scams: A Topic-Based Red Teaming Analysis of Multi-Turn Interactions in LLMs cites this paper.
The Anatomy of Conversational Scams: A Topic-Based Red Teaming Analysis of Multi-Turn Interactions in LLMs Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T12:25:35.258969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 539d436b-7d58-49f5-899e-366689babc30 · inbound
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders cites this paper.
Rethinking Fraud Safety Evaluation: Multi-Round Attacks Reveal Safety-Utility Tradeoffs in Graph-Context LLM Defenders Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:33:57.795729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation cf0bf2ce-9957-4027-b117-dcfa602240c3 · inbound
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications cites this paper.
AISPA: User-Centric System Prompt Auditing for Large Language Model Applications Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T02:04:06.886372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 138d7e3f-28d4-4d60-bcc2-a2d2db7b873f · inbound
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction cites this paper.
Beyond Detection: Evaluating Defensive LLMs Against AI-Generated Social Engineering in Live Turn-by-Turn Interaction Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:15:19.154578Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.