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Paper Citation Record · LEDGER

PLeak: Prompt Leaking Attacks against Large Language Model Applications

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:57:45.219278Z

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 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=sha256:63fef24cd8ee409f703bed84fac5e84326580897b30f8f144d5c5acf31fb67d6

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:f5e9162a78cf17331530bd564c24720c5c16049868e403e7706ec2cb977f6524

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=sha256:27c21e93f35fc53870c3035354ac6e839fc01993f0b581f87b6ce87cb5b8563f

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=sha256:11f7683f8406f698be61146de2da2756a4bdd354bd1932a589b635520d4d5b67

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T01:44:07.700127Z digest=sha256:471f8d1c208b0d5df5608cf339277b2891fb885ba252abbf73df2f36d688eabd