Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.14729.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:43:52.308174Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:19:34.768622Z
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 fdee8551-e139-4757-a0bd-54ef587b5b96 · inbound
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.
Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:42:34.246479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1486abab-8699-480e-9bd4-14afdc50989e · inbound
The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them) cites this paper.
The Illusion of Role Separation: Hidden Shortcuts in LLM Role Learning (and How to Fix Them) PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:43:52.308174Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89bb637a-7d6b-4cc4-a4e2-747cf4e1daa8 · inbound
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents cites this paper.
AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:59:53.452874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0ef2222-54e4-46f9-815c-cd2963ad69a5 · inbound
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models cites this paper.
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:43:06.018040Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf01037a-35a9-45b9-92c8-cd1469e93c47 · 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 PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:43:16.881220Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c548b889-4ab8-4ee0-9675-7a7956461aad · inbound
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling cites this paper.
Transferable Direct Prompt Injection via Activation-Guided MCMC Sampling PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:01:57.977055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15bcc2ec-6a2a-489a-8f87-3d5517cd4031 · inbound
SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents cites this paper.
SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:16:06.642846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 66aa870f-196e-44df-b1ca-f32e9ec47101 · inbound
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems cites this paper.
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:19:34.772661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 135a78ee-27bd-4f3f-aa5d-197e8b2af812 · inbound
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems cites this paper.
Analyzing Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T10:34:36.546709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.