Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.13843.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T05:42:43.566302Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
14
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 663d5dc7-ed42-4e2f-876e-021342c147b7 · inbound
Compromising Honesty and Harmlessness in Language Models via Deception Attacks cites this paper.
Compromising Honesty and Harmlessness in Language Models via Deception Attacks Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T05:42:43.566302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bda766a-2a64-48ed-8922-0f6c84dbfbd3 · inbound
Model Immunization from a Condition Number Perspective cites this paper.
Model Immunization from a Condition Number Perspective Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 1984
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:22.513757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da72c22e-ce8a-4aee-89d2-0204e0057d9a · inbound
The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board cites this paper.
The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:50.706554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2633b22d-f2d7-488a-a871-d96e0880e6af · inbound
FORTRESS: Frontier Risk Evaluation for National Security and Public Safety cites this paper.
FORTRESS: Frontier Risk Evaluation for National Security and Public Safety Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:15:02.056142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16eb0aa9-449b-4846-8b76-e36813353b94 · inbound
Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms cites this paper.
Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:43:16.809598Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b15c2bf-ed2e-4a70-a936-b266094c1c3e · inbound
Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI cites this paper.
Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:21:26.851501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7ec3b7b7-e26f-44da-9105-cb3c59779aa7 · inbound
Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI cites this paper.
Understanding U.S. Users' Security and Privacy Transparency Needs for Consumer-Facing Generative AI Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-07-05T18:41:19.738914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ac3cd4f0-391b-4156-8661-3c5348ec62af · inbound
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T05:45:25.694051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 342772e4-3501-4de1-b7e6-83da6a04ab22 · inbound
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings cites this paper.
Robust Text Watermarking for Large Language Models via Dual Semantic Embeddings Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:57:18.926807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.