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Paper Citation Record · LEDGER

PLeak: Prompt Leaking Attacks against Large Language Model Applications

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.06823.

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

pith.paper-citation-record.v1
2405.06823 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:53.744673Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1ee17744-94b1-444d-a38c-c755902b6ca4 · inbound

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents cites this paper.

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:01.815216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:01.815216Z digest=sha256:c3e0b440e95c1e254924d1a73fdf5af436c9c6f93612b1947d06655cbf4a0ff4

Observation fd1a8d26-fe0a-43e5-ae38-709c77b35240 · inbound

Universal and Context-Independent Triggers for Precise Control of LLM Outputs cites this paper.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:00:14.064152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:00:14.064152Z digest=sha256:84cfc58b0b3c2279271195a1ca6f74e395edcfc9c512dcda9816172d1f86b413

Observation 4f1e3c20-0a53-4756-b839-5fe9e336e83b · inbound

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage cites this paper.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:10.231146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:10.231146Z digest=sha256:3f1f48422fc6a941fc8cac85036b846dd513c659a81f91856804032ce2806b09

Observation 14fb2311-bbbe-4be8-b1b4-b2c4a9f2de1d · inbound

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts cites this paper.

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T17:14:06.570591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:14:06.570591Z digest=sha256:b278f8491bf642a7b39c92e0846e2a498644125b3063857f147c7d9366877c4f

Observation 0388fcb9-a0b1-4a50-a96c-a80d0098869e · inbound

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference cites this paper.

Has My System Prompt Been Used? Large Language Model Prompt Membership Inference PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T19:57:45.219278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T19:57:45.219278Z digest=sha256:7fdd58519fed1bac091a1b505c21b679d999cb46c57c113aff380a000ad7428c

Observation 61b778e2-93e2-4837-b7d5-34eb4beea854 · inbound

Generalizing Large Language Model Usability Across Resource-Constrained cites this paper.

Generalizing Large Language Model Usability Across Resource-Constrained PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T22:08:53.744673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:08:53.744673Z digest=sha256:e3946d1cf373af0f229aff629aaf57ad6a306deecbed6c077c8f6cec3cbd067a

Observation 7b12ea49-79cd-4801-bd41-a588d78ceef7 · inbound

Privacy and Security Threat for OpenAI GPTs cites this paper.

Privacy and Security Threat for OpenAI GPTs PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:53.618132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:53.618132Z digest=sha256:9b1afe3ee2c8e62e5d5e848ac400e9466f19d9d8ebd3abd4a9f3b29f65992ffc

Observation 76ab0cd7-d36c-4f23-bbab-5719b0e7a1f9 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 173

Resolution
unresolved
no resolver link, observed 2026-08-07T10:17:27.123991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:17:27.123991Z digest=sha256:321f92da4ab19d732db0dd293f457fdf6ec391aff31b711c5629d0e3139b4495

Observation a9fc3907-3baa-4ec5-b725-8842339a939f · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 129

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:44.787618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:44.787618Z digest=sha256:1f37c5d0aeaa7073fbfaa063e2e8328185dc514b64c26fadf8c81720ceb7cf3c

Observation 22cee66f-263d-47de-b346-523eef29d8a6 · inbound

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense cites this paper.

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense PLeak: Prompt Leaking Attacks against Large Language Model Applications

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-01T01:45:13.860619Z

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.

source=arxiv_source observed=2026-07-01T01:44:07.700127Z digest=sha256:d4b67c26e7c8bd1888fbf82b580bab14976b68c3fd826eb27b4f82066d655c3a