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Paper Citation Record · LEDGER

Prompt Leakage effect and defense strategies for multi-turn LLM interactions

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.16251.

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

pith.paper-citation-record.v1
2404.16251 v3

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 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:25:30.253728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T18:05:58.512498Z

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 6f45929c-2b05-4445-ad30-75f55f9e8f18 · 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 Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:36:01.284554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:36:01.284554Z digest=sha256:4a1b5ad1ea965511444e876c7977b9cbc8b35e74110ef895b2712ce6c6a20871

Observation e5128263-1ac6-4914-8f05-97d8cbd9af31 · inbound

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization cites this paper.

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T21:25:30.253728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:25:30.253728Z digest=sha256:15e55e4ef39210c872a160b214a3b430e6394f7b22c0c31f724e3a7031db9fdf

Observation 69775ace-b4ab-4753-a856-56de34299fda · inbound

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous cites this paper.

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T19:39:09.451591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:39:09.451591Z digest=sha256:e8d785e4b0372c26b23ec02ae00f60fc6d281feb482dd72e8aa2950ec785210d

Observation aa27304e-5627-4095-8c2c-755abefd4f5c · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:11.557365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:11.557365Z digest=sha256:9733c728288d390e0d89abc2d46da3c7bcd0504f7d5450eda763da68e22b8bbc

Observation 8c66b133-5e57-4728-9aed-25ef385bcfa0 · inbound

AgenTEE: Confidential LLM Agent Execution on Edge Devices cites this paper.

AgenTEE: Confidential LLM Agent Execution on Edge Devices Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:40:19.366325Z

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=pdf_text observed=2026-05-10T04:46:53.351566Z digest=sha256:7623f974bd1e2876b91e9045e2ffc9cf1cd7d95ec78760c2da2aad27ce54c1b7

Observation 81309f3e-0640-4617-b938-742d449d4e50 · inbound

An LLM-Powered Semantic Alignment Framework for Journal Recommendation cites this paper.

An LLM-Powered Semantic Alignment Framework for Journal Recommendation Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:05:58.513862Z

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=2026-06-29T02:42:12.026696Z digest=sha256:46e9a386fe44f3af66a54c2d7914e003de181adf8f8e92d69a4119f1f26eff45

Observation 46319d84-7b03-40fe-9f4c-daf6110a1a09 · inbound

In-Context Learning for Wound Classification with Small Multimodal Language Models cites this paper.

In-Context Learning for Wound Classification with Small Multimodal Language Models Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T14:15:55.618092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:15:55.618092Z digest=sha256:5d40decc1275557c5c363688dfc45fbd36d2db9275820f05fa1fa0059a5591a1

Observation 60631e08-834d-48e7-893c-9953edce1e50 · inbound

Mitigating Over-Personalization in LLMs via Structured Memory cites this paper.

Mitigating Over-Personalization in LLMs via Structured Memory Prompt Leakage effect and defense strategies for multi-turn LLM interactions

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T00:15:18.626088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:15:18.626088Z digest=sha256:f989c47201572b83116c7b98a23fdb4c7eb18e52bd0e4af411a0168741881374