Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.03792.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:36:02.276204Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:17:41.932219Z
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 c79b8249-09cf-4b2b-b2aa-d2490ca9d575 · inbound
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents cites this paper.
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:35:13.490917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c8ebc6a3-9899-4fe2-a37f-29e2aa065586 · inbound
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:08:25.793746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 933761b1-e20d-4097-9755-dcd55dc6ad8e · 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 Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 202
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:36:02.276204Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27a7fa14-653a-47e3-aebd-1be0f2c28992 · inbound
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface cites this paper.
Fun-tuning: Characterizing the Vulnerability of Proprietary LLMs to Optimization-based Prompt Injection Attacks via the Fine-Tuning Interface Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:44:46.798448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eec70c6-d9d9-4528-b7ec-176ac6786d63 · inbound
ACE: A Security Architecture for LLM-Integrated App Systems cites this paper.
ACE: A Security Architecture for LLM-Integrated App Systems Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T18:06:54.283250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c6fa50bd-3b22-4322-b72c-ce82f7a1333f · inbound
Security Concerns for Large Language Models: A Survey cites this paper.
Security Concerns for Large Language Models: A Survey Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:03.612380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbc0bacd-8c3f-4cba-a325-a0d8f8378f07 · inbound
Evaluation of Prompt Injection Defenses in Large Language Models cites this paper.
Evaluation of Prompt Injection Defenses in Large Language Models Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:21:12.084417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ac41caa6-ad5a-4e55-96bc-c81b4b2ceda0 · inbound
Evaluation of Prompt Injection Defenses in Large Language Models cites this paper.
Evaluation of Prompt Injection Defenses in Large Language Models Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:19:28.492228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 64bd7d9f-4c8d-4548-8f2e-014e775cf0b1 · inbound
Assessing Automated Prompt Injection Attacks in Agentic Environments cites this paper.
Assessing Automated Prompt Injection Attacks in Agentic Environments Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:17:41.936259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.