Paper Citation Record · LEDGER

Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.07612.

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

pith.paper-citation-record.v1
2401.07612 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.737562Z

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

4
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 cff79474-79b2-4357-95b5-2e9515b4c2e5 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:32:19.486129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95362365-82cf-4288-98f9-ae7fd3ca5b60 · inbound

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction cites this paper.

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:11:58.051126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4cf9278-7fe5-4e9e-a045-e976a5d6fbad · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 125

Resolution: unresolved; no resolver link, observed 2026-08-16T04:28:00.737562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a2619fe-d5e1-454b-940f-3162fe302789 · inbound

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs cites this paper.

Red Teaming the Mind of the Machine: A Systematic Evaluation of Prompt Injection and Jailbreak Vulnerabilities in LLMs Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T23:23:39.938122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e750b7-5280-413e-b33a-b8467dcffea0 · inbound

Quantifying Conversation Drift in MCP via Latent Polytope cites this paper.

Quantifying Conversation Drift in MCP via Latent Polytope Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T22:51:28.159339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45105aea-fab8-4007-b4c6-ff4abda9e642 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.064172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47843df4-7f3d-433c-9a02-d4c0c9dfe9d0 · inbound

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff cites this paper.

A Synonymous Variational Perspective on the Rate-Distortion-Perception Tradeoff Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 63

Resolution: unresolved; no resolver link, observed 2026-07-12T20:09:57.922788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb679d2-9bcd-4499-a0f0-f4c84c530007 · inbound

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection cites this paper.

Hijacking Large Audio-Language Models via Context-Agnostic and Imperceptible Auditory Prompt Injection Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:35:18.915880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 89d1a254-b59c-4361-9e58-bf6b3a67176b · inbound

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments cites this paper.

An Empirical Study of Privacy Leakage Chains via Prompt Injection in Black-Box Chatbot Environments Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:58:10.891696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef52d9cb-b130-48c6-998d-4ebcf3d01f3f · inbound

What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference cites this paper.

What Does the Server See? Understanding Privacy Leakage from Large Language Models in Split Inference Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.528353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2d238a9-16e4-4af0-8d02-6d8203c807f2 · inbound

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching cites this paper.

Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:13:26.625914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.