Paper Citation Record · LEDGER

Goal-guided Generative Prompt Injection Attack on Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.07234.

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

pith.paper-citation-record.v1
2404.07234 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:42:16.635079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:34.024447Z

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 dc7bafab-11b4-44f4-85b1-23c9474a078c · 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 Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 132

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:34.027819Z

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 4adf505c-776b-47ab-bae3-822d609394ca · inbound

LLM Agents Should Employ Security Principles cites this paper.

LLM Agents Should Employ Security Principles Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:16.635079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91050d90-8900-4fe2-a68c-2446cd62a221 · inbound

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection cites this paper.

DeRAG: Black-box Adversarial Attacks on Multiple Retrieval-Augmented Generation Applications via Prompt Injection Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:48:58.642580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33601c6c-39af-4503-bfa5-6df128abc4ba · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T05:05:02.902587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc15fc42-8896-4481-8e38-5ef69530383c · inbound

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior cites this paper.

Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:30.014754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 320562d3-da33-4971-873a-9a2b35969801 · inbound

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs cites this paper.

Multimodal Prompt Injection Attacks: Risks and Defenses for Modern LLMs Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T04:56:25.024461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 260ff9b3-f50e-479c-8776-3c21e8797206 · inbound

LoopTrap: Termination Poisoning Attacks on LLM Agents cites this paper.

LoopTrap: Termination Poisoning Attacks on LLM Agents Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:21:10.605747Z

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 2fb13ad4-c364-47b5-a160-3161ae2959b5 · inbound

RoguePrompt: Dual-Layer Encoding for Self-Reconstruction to Circumvent LLM Moderation cites this paper.

RoguePrompt: Dual-Layer Encoding for Self-Reconstruction to Circumvent LLM Moderation Goal-guided Generative Prompt Injection Attack on Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T08:37:35.393633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.