Paper Citation Record · LEDGER

Security Concerns for Large Language Models: A Survey

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.18889.

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

pith.paper-citation-record.v1
2505.18889 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:22.885999Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:31:24.539214Z

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 2ee4e6f2-7cd7-497b-b623-98bf6ffa8b58 · inbound

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms cites this paper.

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms Security Concerns for Large Language Models: A Survey

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:22.885999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b093e5c6-e241-448f-98f4-13db15d84283 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Security Concerns for Large Language Models: A Survey

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:31:24.541239Z

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.

Observation a210001a-a16e-4ba2-9984-e67cd692f373 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Security Concerns for Large Language Models: A Survey

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-03T18:19:22.067036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7698991f-040b-4cc0-affd-9512d14552e9 · inbound

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs cites this paper.

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs Security Concerns for Large Language Models: A Survey

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T09:53:25.123806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89b8a45c-01e6-42eb-8b6f-309f69ae204e · inbound

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls cites this paper.

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls Security Concerns for Large Language Models: A Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T21:46:33.293428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ecefb4-f0f3-44a9-a41d-79f573a1a009 · inbound

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models cites this paper.

LLM-as-Judge Framework for Evaluating Tone-Induced Hallucination in Vision-Language Models Security Concerns for Large Language Models: A Survey

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:38:43.149038Z

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.

Observation f11db4e2-a816-4d47-aad9-ec665cf4ea53 · inbound

Adversarial Prompting Framework for AI Safety Assessment cites this paper.

Adversarial Prompting Framework for AI Safety Assessment Security Concerns for Large Language Models: A Survey

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T05:10:09.315243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.